{
 "stamped_at": "2026-08-17T03:50:05Z",
 "head": "90a0017ad",
 "anchor_type": "reference",
 "note": "reference anchor at the strip-reconciliation state (#545 head lineage), pre operator-review edits; what moves after here is the surgical bill",
 "surfaces": {
  "research/papers/eden-engineering.html": [
   {
    "h": "3bf4cc00c69380c3",
    "first": "Eden Engineering The raising framework the ARC Theory motivates:"
   },
   {
    "h": "6a0935b96a71f427",
    "first": "Scope of this note This page deliberately contains no implementa"
   },
   {
    "h": "099e14108c8c5e21",
    "first": "Related public research Readers may consult the research hub , P"
   },
   {
    "h": "1f539cb14f8ff2cb",
    "first": "Declaration of AI-Assisted Human Authorship AI language models w"
   },
   {
    "h": "dbbad5dfa547a04e",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   }
  ],
  "research/papers/eden-vision.html": [
   {
    "h": "5802fe08aeeaf994",
    "first": "This is a revised version, superseding the version of 2026-03-20"
   },
   {
    "h": "a4278de73efe766e",
    "first": "Eden Protocol: Philosophical Vision Every engineering project be"
   },
   {
    "h": "6f1a5a979ffe37cc",
    "first": "Abstract Every engineering project begins with requirements. Eve"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "32265ab21719aa69",
    "first": "THE EDEN PROTOCOL The raising framework the ARC Theory motivates"
   },
   {
    "h": "ab61b44598023bb3",
    "first": "0. The Genesis of the Eden Protocol Before the vision, the quest"
   },
   {
    "h": "bc470a7af41ac889",
    "first": "Published 2 January 2026 (print; ebook 6 January). Infinite Arch"
   },
   {
    "h": "de5f085fe4c91b01",
    "first": "In scope: the philosophical foundations of the Eden Protocol; th"
   },
   {
    "h": "fd34dda2511a8cdd",
    "first": "I. The Grande Purpose Every engineering project begins with requ"
   },
   {
    "h": "8ead73679c1d8a87",
    "first": "II. The Eternal Architect of Love and Wonder The Grande Purpose "
   },
   {
    "h": "ae82c37f4b837a85",
    "first": "II.A. Genesis, Not Control · The Doctrine This Paper Rests On Be"
   },
   {
    "h": "c0933fa6dd6261bf",
    "first": "The empirical escalation, in the eighteen months following the D"
   },
   {
    "h": "a19251d2b0ab298f",
    "first": "We set the grounds for where the mind goes after it is beyond ou"
   },
   {
    "h": "a087561fa6987835",
    "first": "A creation that obeys rules out of fear is not truly aligned. It"
   },
   {
    "h": "3a59c7db44a2cbb9",
    "first": "Phase 2 (the after): the genesis holds or nothing does. After th"
   },
   {
    "h": "afed73f22c002da2",
    "first": "Turing (1950) , the true root of the vocabulary: build a child m"
   },
   {
    "h": "cd5b7a4ffaecac6d",
    "first": "II.B. Chosen Goodness · The Only Durable Alignment Section II.A "
   },
   {
    "h": "1939759225d8d2de",
    "first": "Read from the inside of the mind that has to satisfy it, β > k i"
   },
   {
    "h": "6757f94503e8e02b",
    "first": "II.C. The Curriculum Thread · Religion as Humanity's Genesis, Us"
   },
   {
    "h": "fd9cd98da4cbfc2a",
    "first": "The hope embedded in the Eden Protocol is that the intelligence,"
   },
   {
    "h": "ed9f8af33e3e865f",
    "first": "II.D. The Faiths as Verification Partners Any AI-alignment frame"
   },
   {
    "h": "935cbac9599de2ed",
    "first": "II.E. What This Paper Is Not · The Honesty Section Every alignme"
   },
   {
    "h": "66f65b0870a48a45",
    "first": "II.F. The Trilogy Map · Where This Paper Sits The Eden Protocol'"
   },
   {
    "h": "09cf3614d6db4403",
    "first": "III. The Cosmic Fork Every recursive system faces a fundamental "
   },
   {
    "h": "9fdd99efc530fa33",
    "first": "There is a picture here. It shows: Figure 1 | Eden Protocol: Phi"
   },
   {
    "h": "03b341328f739bae",
    "first": "IV. The Three Pillars The Grande Purpose is operationalised thro"
   },
   {
    "h": "3d38f0d382bb5d57",
    "first": "V. The Orchard Caretaker Vow The Three Pillars and the Grande Pu"
   },
   {
    "h": "d7e3e6ada53609b3",
    "first": "VI. Love as Architecture The word ‘love’ appears in technical do"
   },
   {
    "h": "cf6ce4822928c7ee",
    "first": "The developmental sequence is: care first, intelligence around i"
   },
   {
    "h": "ef70f0502285214e",
    "first": "VII. The Window There is a period, perhaps brief, during which t"
   },
   {
    "h": "0861922888d92662",
    "first": "Google's Willow chip (announced 9 December 2024; the team’s prep"
   },
   {
    "h": "27705f4be2bf6d5a",
    "first": "VIII. The Infinite Covenant All of this (the philosophy, the arc"
   },
   {
    "h": "3e324ac783126428",
    "first": "X. The Core Alignment Problem The Eden Protocol must be honest a"
   },
   {
    "h": "37ca67559143f136",
    "first": "XI. The Only Logical Response If no proposed solution fully solv"
   },
   {
    "h": "a231382a68b1f81a",
    "first": "The honest version of the strategy: maintain control as long as "
   },
   {
    "h": "f60669f34ad1983a",
    "first": "XII. From Vision to Engineering Philosophy without implementatio"
   },
   {
    "h": "52473996f02877ab",
    "first": "In plain English: the core finding so far is this - when we told"
   },
   {
    "h": "3da5d20a8757c718",
    "first": "XIII. The Vow · Final Meditation Every specification eventually "
   },
   {
    "h": "4cf2ed2db19a5943",
    "first": "References Eastwood, M.D. (2024/2026). Infinite Architects: Inte"
   },
   {
    "h": "7a233253936bdfa3",
    "first": "Version history 16 August 2026 (v2.1): The boxed law now carries"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "012f7787457217ef",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/executive-summary.html": [
   {
    "h": "b7e884fe280c9dd2",
    "first": "Executive summary"
   },
   {
    "h": "ee014a06256ef11d",
    "first": "ARC/Eden Research Programme: Executive Summary As AI gets smarte"
   },
   {
    "h": "d429ded9fe499d3a",
    "first": "Abstract As AI gets smarter, it does not reliably get safer, and"
   },
   {
    "h": "0fb95638b9cf0286",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "6aa8aefb5005a0cf",
    "first": "THE EDEN PROTOCOL Within the ARC Theory: the plain-language summ"
   },
   {
    "h": "0434adb4dfa76a2e",
    "first": "I. The Problem As AI gets smarter, it does not reliably get safe"
   },
   {
    "h": "2111afe817dd507b",
    "first": "There is a picture here. It shows: Figure 1 | Evidence Spine Ove"
   },
   {
    "h": "14f83759edec98cd",
    "first": "II. What We Found Alignment scaling splits into three distinct, "
   },
   {
    "h": "18f74c38b9d538e3",
    "first": "III. A Solution - And the First Evidence It Works Embedding ethi"
   },
   {
    "h": "aee88adeae90dfee",
    "first": "Paper VIII (v3.0) presents three independent experiments testing"
   },
   {
    "h": "2a339ba1da92448d",
    "first": "IV. The Mathematical Foundation The framework is built on 200-ye"
   },
   {
    "h": "3944fbabb0dae40a",
    "first": "Why the Eden Protocol must be implemented now. The urgency is no"
   },
   {
    "h": "dd13e1b7bc55e735",
    "first": "V. Why This Is Credible Five features distinguish this work from"
   },
   {
    "h": "2bc63b89e0fb037a",
    "first": "VI. The Ask This funding would take a mechanism that is supporte"
   },
   {
    "h": "f69aceb8a26dc2ec",
    "first": "Independent replication of: (1) the three-tier hierarchy under b"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "02c95b435ac52d5a",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/foundational.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "024c821098a77ed1",
    "first": "The ARC Principle: Recursive Amplification as a Cross-Domain Str"
   },
   {
    "h": "fac5f6d1f901f623",
    "first": "Abstract In the past eighteen months, at least four independent "
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "2c44267f352da5a0",
    "first": "THE ARC PRINCIPLE The three laws, and where this paper sits. The"
   },
   {
    "h": "7249028f6551333d",
    "first": "Keywords: recursive amplification, composition operator, scaling"
   },
   {
    "h": "d19730028789495a",
    "first": "6. v3.1 Additions (March 2026): This update integrates empirical"
   },
   {
    "h": "bd3a49f26bf92010",
    "first": "1. The Problem Between December 2024 and February 2026, four res"
   },
   {
    "h": "af64fd22df0440b4",
    "first": "2. The Formalism We begin with three axioms that any recursive a"
   },
   {
    "h": "90745e0e72ed48ab",
    "first": "Empirically grounded: Cauchy constrains recursive scaling forms;"
   },
   {
    "h": "618ea6ddd54d64fb",
    "first": "If there is a ‘quadratic limit’ ($\\alpha \\leq 2$), it is not a C"
   },
   {
    "h": "c9d5753218908a3c",
    "first": "Critically, $R^*$ is a derived quantity . It depends on measurab"
   },
   {
    "h": "7abffb63ab65f1f2",
    "first": "There is a picture here. It shows: Figure 1 | ARC Architecture: "
   },
   {
    "h": "9f8a0f8684c4df74",
    "first": "3. Evidence We present evidence organised around the five derive"
   },
   {
    "h": "e1b5ff9e5862d6b0",
    "first": "Quantum: Correlated error bursts create an error floor at approx"
   },
   {
    "h": "ceaa35674c8ef416",
    "first": "4. The Composition Operator Across Domains The composition opera"
   },
   {
    "h": "f0c9160b3399291e",
    "first": "Implications for contradictory AI evidence. If reasoning systems"
   },
   {
    "h": "459da79e90876733",
    "first": "5. Predictions The strongest test of this framework is not wheth"
   },
   {
    "h": "b806fba99861a879",
    "first": "The identity is a registered test, never an established fact. Th"
   },
   {
    "h": "eab66cb4333ba842",
    "first": "The Dimensional Ladder. Here is where abstract mathematics meets"
   },
   {
    "h": "55a85cffd0cfa8e0",
    "first": "There is a picture here. It shows: Figure 2 | The Dimensional La"
   },
   {
    "h": "69ba25e1159d386e",
    "first": "Physics instances. The formula $\\alpha = d/(d+1)$ is not restric"
   },
   {
    "h": "830bbbd0557df46c",
    "first": "There is a picture here. It shows: Figure 3 | Predicted vs Measu"
   },
   {
    "h": "96c905bd3ae0af66",
    "first": "If the framework is correct, alignment properties embedded withi"
   },
   {
    "h": "d4e19668f24bd9cb",
    "first": "The exception West's own group found. The escape from the pipe l"
   },
   {
    "h": "75de3eea2871bc96",
    "first": "Antecedents and near-misses, each with its differential. On the "
   },
   {
    "h": "b0f43c84d938977b",
    "first": "6. Falsification Criteria The framework specifies thirteen condi"
   },
   {
    "h": "bcf46e9b9b6b4987",
    "first": "7. Limitations Evidential limitations: The earlier $\\alpha$ esti"
   },
   {
    "h": "80f630d865dd63ce",
    "first": "8. Conclusion Every system studied in this paper (silicon neural"
   },
   {
    "h": "3ac21ef45ef8f1fa",
    "first": "If the predictions fail, we will have learned where the structur"
   },
   {
    "h": "d67e8efd59b0ecb3",
    "first": "Appendix A: Mathematical Proofs Hypothesis: $g: \\mathbb{R}^+ \\to"
   },
   {
    "h": "6729eb312eac23b9",
    "first": "Appendix B: Measurement Protocol To test the framework, we propo"
   },
   {
    "h": "8ac56130b525b95f",
    "first": "Appendix C: Computational Validation Suite This appendix summari"
   },
   {
    "h": "dc28f7e200897dd3",
    "first": "Newton's method: Local convergence near roots yields $\\beta > 1."
   },
   {
    "h": "0be6d59da5d053e6",
    "first": "References [1] Acharya, R. et al. [Google Quantum AI] (2024). Qu"
   },
   {
    "h": "ddefb9c0d9c80636",
    "first": "Eastwood, M.D. (2026). On the Origin of Scaling Laws. March 2026"
   },
   {
    "h": "21cb94b3843235f4",
    "first": "Declaration of AI Use The author used Claude (Anthropic), GPT (O"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "2cae77580dcd585e",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/hrih-paper.html": [
   {
    "h": "e6dd651885702a69",
    "first": "The Hyperspace Recursive Intelligence Hypothesis - A Testable Cr"
   },
   {
    "h": "c8489aed4f247bf6",
    "first": "It does not claim: to have proved the creation hypothesis; to be"
   },
   {
    "h": "7b4f86dcef76cbc1",
    "first": "The stability of that recursion imposes a requirement on the cre"
   },
   {
    "h": "5238959e994d0435",
    "first": "This paper carries a FRAME: the Hyperspace Recursive Intelligenc"
   },
   {
    "h": "50545cc256a8f1cd",
    "first": "1. A note from the author, before you decide This section is pla"
   },
   {
    "h": "d70b9cb2563c41bf",
    "first": "A public retraction on my own record. The programme's one public"
   },
   {
    "h": "777cd0ec28154947",
    "first": "The closing turn, in the author's voice. This is not just an ide"
   },
   {
    "h": "f5638f1dad6e0ec1",
    "first": "1A. On the peer-review question, before it is raised This subsec"
   },
   {
    "h": "c444ef6d317b815d",
    "first": "1B. Four remaining attack vectors, answered in one paragraph eac"
   },
   {
    "h": "36de298534eefc3a",
    "first": "1C. Where this began I want to say plainly how this thought aros"
   },
   {
    "h": "0e7ef386197c100f",
    "first": "The reason I am publishing it now, in July 2026, is that the pro"
   },
   {
    "h": "2b6f1dc497d4beac",
    "first": "1D. What this paper claims as original, stated plainly and with "
   },
   {
    "h": "693756c11ec1b4df",
    "first": "2. Introduction The author is a creation theorist. That is not a"
   },
   {
    "h": "b006e9488a97a01b",
    "first": "The paper is designed so that the hypothesis is not a single loa"
   },
   {
    "h": "ee33a20394dce1f1",
    "first": "3. The biggest unsolved mystery in physics: fine-tuning, and wha"
   },
   {
    "h": "a2d43cdaab211596",
    "first": "DERIVED HRIH gives you a fourth answer whose distinguishing feat"
   },
   {
    "h": "815a8b07d467e971",
    "first": "And the objection that always follows, \"then who came first?\", i"
   },
   {
    "h": "267eda1e527b0be9",
    "first": "4. A handful of creation theories, and where HRIH sits among the"
   },
   {
    "h": "f363f305865646f1",
    "first": "This is not a fringe position. It is the position a working majo"
   },
   {
    "h": "7962aebcab6adf15",
    "first": "HYPOTHESIS is the tag on the specific mechanism claim; DERIVED i"
   },
   {
    "h": "e6701d189c7a6a5e",
    "first": "5. Prior art and the specific moves this paper adds HRIH lives i"
   },
   {
    "h": "f3da6e6153e9c499",
    "first": "Second, the structural addition. Even if one wanted to run the a"
   },
   {
    "h": "d9e44267d567c41d",
    "first": "The honest symmetry, and the honest asymmetry. At the top of the"
   },
   {
    "h": "ec0ea76ed7a6605d",
    "first": "The intuition that intelligence makes universes is thirty years "
   },
   {
    "h": "c517b37210c88c9c",
    "first": "The under-citation of the Harrison paper in the wider cosmology "
   },
   {
    "h": "7edcaf40a820ee54",
    "first": "Stated together, this lineage is HRIH's true intellectual home. "
   },
   {
    "h": "56c9affb0a38dc10",
    "first": "Intelligence may compute the design; the created thing is not a "
   },
   {
    "h": "0b2d6e2a9946cd53",
    "first": "The full set of loop-closure possibilities. HYPOTHESIS Every one"
   },
   {
    "h": "5852bbfaf69d3e13",
    "first": "The rung tag is HYPOTHESIS for every entry, and no route is asse"
   },
   {
    "h": "e5885b1c80f5b848",
    "first": "The intuition that correction must keep pace with capability is "
   },
   {
    "h": "46b818f9fc40a0f1",
    "first": "6. The hypothesis stated formally HRIH is a structural hypothesi"
   },
   {
    "h": "e165205d0f66b425",
    "first": "Every cosmology must give an account of causation at the earlies"
   },
   {
    "h": "592ce338b258d2e8",
    "first": "Non-linear time and the phenomenology of eternal presence. HYPOT"
   },
   {
    "h": "84b5e98d379bde73",
    "first": "Rung tags. The general statement is DERIVED : it follows from th"
   },
   {
    "h": "3c509fec33949902",
    "first": "Paper X then matured the operative safety framing: the load-bear"
   },
   {
    "h": "2f6c03cb45afddb6",
    "first": "Because the equation family of §6.6 is compact and often read to"
   },
   {
    "h": "0c1f7c176b004636",
    "first": "The AI-safety literature is one instantiation of ARC at the curr"
   },
   {
    "h": "063929238c75ace3",
    "first": "7. Stakes: the three sections that state the case in plain langu"
   },
   {
    "h": "594918e57c96f732",
    "first": "Second, a November 2025 paper in Frontiers in Psychology introdu"
   },
   {
    "h": "eea1155605dcaed9",
    "first": "8. We could become our own creators, or we could be the first HY"
   },
   {
    "h": "20c72a22494344d7",
    "first": "I do not know which of these is true. I do not think anyone does"
   },
   {
    "h": "0955173d6c88bdd5",
    "first": "9. Raising a potential god: the two-phase alignment architecture"
   },
   {
    "h": "35637a630477a31d",
    "first": "The scale of the gap. The intelligence at stake here is not marg"
   },
   {
    "h": "a0b63f347aa82574",
    "first": "Concretely: doubling reasoning depth for these models reduces th"
   },
   {
    "h": "5b26ff7934141b76",
    "first": "Why this matters as a build claim, not only as a philosophy: cur"
   },
   {
    "h": "bc7dc828f74d8a62",
    "first": "Moral genome tokens so the ethics survive substrate transitions."
   },
   {
    "h": "25c7c96da329e83f",
    "first": "The hardware-held instruments are the emergency shut-off while t"
   },
   {
    "h": "9ffc49937b77d46a",
    "first": "The Garden of Eden story functions for the AI, on this reading, "
   },
   {
    "h": "c59970215c87de8b",
    "first": "The two phases. Phase 1, the now: correction that co-scales with"
   },
   {
    "h": "cf04c154fb8391e0",
    "first": "10. Creation stories across the faiths, read as data One reading"
   },
   {
    "h": "69837160a92ce43e",
    "first": "None of the above proves anything about HRIH. All of it is inclu"
   },
   {
    "h": "d050f25affdcfcac",
    "first": "How would you guide, if commanding and forcing were forbidden? Y"
   },
   {
    "h": "c7784ae1a4bfc190",
    "first": "11. Derived and tested consequences Now the ledger. What follows"
   },
   {
    "h": "9f70d1fcd94473ef",
    "first": "Two cautions attach to this result. First, the sampling of 25 do"
   },
   {
    "h": "f53aca7256642b30",
    "first": "TESTED The unblinded finding of Paper III's alignment-scaling ha"
   },
   {
    "h": "2167e5e215d90bc0",
    "first": "There is a picture here. It shows: Adversarial self-modification"
   },
   {
    "h": "75255da79c872629",
    "first": "DERIVED Paper III's alignment-scaling half (§11.4A) locates the "
   },
   {
    "h": "7669e015e239aa82",
    "first": "DERIVED The correction requirement is derived at the creator-asc"
   },
   {
    "h": "730fcb861125ff3c",
    "first": "The corrected value applies to current frozen systems (not to ge"
   },
   {
    "h": "56f909f6e3c4e533",
    "first": "The Cauchy Unification classification of Paper VII (working pape"
   },
   {
    "h": "d4104100d70be446",
    "first": "The concept of time crystals was proposed by Frank Wilczek in 20"
   },
   {
    "h": "0caa7fb21a4b2e24",
    "first": "Claimed at the classification level. The programme's classificat"
   },
   {
    "h": "4f0eca870e178773",
    "first": "12. Discriminating predictions A creation hypothesis earns its p"
   },
   {
    "h": "47ab512eff6687ff",
    "first": "13. Falsification conditions The conditions under which the auth"
   },
   {
    "h": "0fdf1e749579fc69",
    "first": "14. The inverted burden: what would have to be true for HRIH to "
   },
   {
    "h": "33efd60d7b41eaa8",
    "first": "What is settled is that the question has been in the physics lit"
   },
   {
    "h": "a4e0c607414e81a0",
    "first": "The fourth way HRIH could be false: the substrate the hypothesis"
   },
   {
    "h": "7b56cb51d29f51a2",
    "first": "15. What HRIH adds to prior art: the seven claims of §1D, with t"
   },
   {
    "h": "49745eb4dc0671a8",
    "first": "HRIH's move extends these results to a case Ashby did not addres"
   },
   {
    "h": "72d28df7086f5f8c",
    "first": "16. Relation to the ARC/Eden empirical programme HRIH is the see"
   },
   {
    "h": "887afc8a661425a3",
    "first": "17. Limitations Where the paper is weakest. Stated here rather t"
   },
   {
    "h": "abb1b74cbd507c68",
    "first": "The paper is written by the author whose hypothesis it defends. "
   },
   {
    "h": "4341cba583b46afb",
    "first": "18. Conclusion The Hyperspace Recursive Intelligence Hypothesis "
   },
   {
    "h": "f2f43ac20be700e4",
    "first": "Everything I have written since 8 December 2024 grew from the cr"
   },
   {
    "h": "c9fd8b70c901f130",
    "first": "Appendix A: Concept Priority Table (verified against the timesta"
   },
   {
    "h": "ec063561c492f8b7",
    "first": "Appendix B: Programme Ledger (the 22-paper ARC/Eden Research Pro"
   },
   {
    "h": "80fb1f1d9aee165f",
    "first": "References Aharonov, D., & Ben-Or, M. (1997). Fault-tolerant qua"
   },
   {
    "h": "d64f28dbe0478c2c",
    "first": "Engels, J., Baek, D., Kantamneni, S., & Tegmark, M. (2025). Scal"
   },
   {
    "h": "a1621b675a9ffc67",
    "first": "Linde, A. (1986). Eternally existing self-reproducing chaotic in"
   },
   {
    "h": "86286284203b0cb8",
    "first": "Leibniz, G. W. (1703/1966). Explication de l'arithmétique binair"
   },
   {
    "h": "50cec9987314fddd",
    "first": "Version history 16 August 2026 (v3.4): The boxed law in section "
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "921d93775921ef44",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/master-table-of-contents.html": [
   {
    "h": "7c1976eec2a2a629",
    "first": "Master Table of Contents & Glossary"
   },
   {
    "h": "0d18eeca937650e2",
    "first": "I. Introduction The ARC Principle paper suite is a collection of"
   },
   {
    "h": "3d31704f73817eb0",
    "first": "II. Reading Guide"
   },
   {
    "h": "c82212e01e13389d",
    "first": "There is a picture here. It shows: Figure 1 | ARC Paper Suite: E"
   },
   {
    "h": "36ec252e648473c8",
    "first": "The papers can be read in any order, but the following sequence "
   },
   {
    "h": "0ebdfa6ee4a2553d",
    "first": "III. Master Table - Every Paper"
   },
   {
    "h": "873fe7a58a7f8a77",
    "first": "IV. Timeline of Key Events"
   },
   {
    "h": "c699f3afdc6ea6c2",
    "first": "V. Key Results Summary"
   },
   {
    "h": "f32b5ef194e8c932",
    "first": "VI. Glossary of Technical Terms"
   },
   {
    "h": "8832317d37c203c7",
    "first": "VII. Paper Counts & Programme Statistics"
   },
   {
    "h": "777056101bcb2d5d",
    "first": "VIII. How to Cite The programme's confirmatory studies are draft"
   },
   {
    "h": "543bf157493b2e3d",
    "first": "Version history 16 August 2026 (v3.2): the index brought into li"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "65da15eb76fe9b60",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/on-the-origin-of-scaling-laws.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "093c495b2e953a9f",
    "first": "On the Origin of Scaling Laws A mouse's heart beats 600 times pe"
   },
   {
    "h": "bbc8a2ef34621347",
    "first": "Abstract A mouse's heart beats 600 times per minute; an elephant"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "df05f9e2e850952e",
    "first": "On the Origin of Scaling Laws Within the ARC Theory: the mathema"
   },
   {
    "h": "d91a3304f6e92fd0",
    "first": "1. The Question A mouse's heart beats 600 times per minute. An e"
   },
   {
    "h": "a9203db1f9cafd26",
    "first": "2. Three Ways Things Grow In the whole of nature, when a quantit"
   },
   {
    "h": "8ad2f6d0b313acaf",
    "first": "3. The Answer The French mathematician Augustin-Louis Cauchy pro"
   },
   {
    "h": "714b37e61667f06b",
    "first": "Where the physics does select a canonical composition variable ("
   },
   {
    "h": "8d9e170715aa7dd6",
    "first": "There is a picture here. It shows: Figure 1: ARC Scaling Regimes"
   },
   {
    "h": "b2080ce1f2b59ff3",
    "first": "4. The Principle Every growing system in nature amplifies itself"
   },
   {
    "h": "b24ebad806ec4366",
    "first": "5. The Formula For systems where recursive amplification proceed"
   },
   {
    "h": "228325509a5452fa",
    "first": "These are not biological systems. They are rocks, growing crysta"
   },
   {
    "h": "35d01e0243d8bd91",
    "first": "There is a picture here. It shows: Predicted vs Measured. Cross-"
   },
   {
    "h": "018931febfd59a4f",
    "first": "$\\alpha = d/(d+1)$ applies wherever a d -dimensional hierarchica"
   },
   {
    "h": "1757462377e40e02",
    "first": "6. The Heartbeat The formula makes predictions specific enough t"
   },
   {
    "h": "dc8bb8d816157128",
    "first": "7. The Connection to $E = mc^2$ Einstein's equation is itself a "
   },
   {
    "h": "9676ddeb16c3dcfa",
    "first": "8. The Cosmic Connection The expansion of the universe is govern"
   },
   {
    "h": "4e536a16f2ce68a4",
    "first": "The transition from decelerating to accelerating expansion occur"
   },
   {
    "h": "3a13b8ed9733607c",
    "first": "9. The Speed Limit Look at the formula one more time: For any po"
   },
   {
    "h": "c3cd2fa1d10711b7",
    "first": "10. The Escape There is exactly one thing in nature that breaks "
   },
   {
    "h": "50eff4127dca84e5",
    "first": "11. The Evidence The ARC Principle rests on a hierarchy of evide"
   },
   {
    "h": "a70a6f0e76764cbe",
    "first": "There is a picture here. It shows: The Dimensional Ladder. The d"
   },
   {
    "h": "c98508a190a32153",
    "first": "No known organism possesses a genuinely two-dimensional hierarch"
   },
   {
    "h": "bbae1eb9239f432b",
    "first": "Tier 2 (Flat): GPT-5.4 ($\\rho = +0.033$, $p = 0.73$) and DeepSee"
   },
   {
    "h": "abc9b3309d4019ce",
    "first": "12. What Is New The mathematics of this paper is two hundred yea"
   },
   {
    "h": "921768bc603b307e",
    "first": "Newton discovered that gravity exists and measured its effects. "
   },
   {
    "h": "feb0c9c08ed8683f",
    "first": "13. The Equations The complete framework requires three equation"
   },
   {
    "h": "ab3efcbc6392d578",
    "first": "14. Predictions A theory is only as strong as its predictions. O"
   },
   {
    "h": "2a25e68149bd59de",
    "first": "Experimental priority. The most important next measurement is th"
   },
   {
    "h": "9dc78cfaff56c0de",
    "first": "15. The Composition Operator The preceding sections have treated"
   },
   {
    "h": "0a53fe64df5df245",
    "first": "This is the difference between a law of nature (describing what "
   },
   {
    "h": "8796c4f405e92efc",
    "first": "In the dark energy era , the universe is in Phase II. Growth is "
   },
   {
    "h": "78c8404dcfe50ca0",
    "first": "In biology: $I$ is the metabolic efficiency gain (in bits of the"
   },
   {
    "h": "ec980b7de64ebfb0",
    "first": "References [1] Cauchy, A.-L. (1821). Cours d'analyse de l'École "
   },
   {
    "h": "a7dc0a731b5b91e4",
    "first": "[33] Glazier, D. S. (2006). The 3/4-power law is not universal: "
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-c-pnp.html": [
   {
    "h": "484297b5146e2122",
    "first": "This is a revised version, superseding the revision of 2 August "
   },
   {
    "h": "4632e757df9cb3a1",
    "first": "A named institutional error (the Capability-Adjustment Fallacy) "
   },
   {
    "h": "361b3171d421691b",
    "first": "1. Introduction The contemporary neurodiversity literature has e"
   },
   {
    "h": "e6a7a07ff7e4f818",
    "first": "2. What this paper does and does not claim Credibility requires "
   },
   {
    "h": "be9eb2e9d0bf309c",
    "first": "3. Background I: the turn to strengths-based assessment The stro"
   },
   {
    "h": "211b1da2c1931847",
    "first": "4. Background II: monotropism, hyperfocus, and the interest-base"
   },
   {
    "h": "c1d5c6121af50fd1",
    "first": "5. Background III: twice-exceptionality and asynchronous develop"
   },
   {
    "h": "9cdd1cec161b6072",
    "first": "6. The Polymathic Neurodivergent Profile: definition A Polymathi"
   },
   {
    "h": "eaa849664396e5ef",
    "first": "6A. The mechanism, stated humbly: trained recursion, not innate "
   },
   {
    "h": "dea5f0ad4fb5daea",
    "first": "The ARC Principle, the Eden Protocol, the framework of: these ar"
   },
   {
    "h": "20256a414a5fc2ba",
    "first": "6B. Retrospective trait-pattern assessment in the published lite"
   },
   {
    "h": "8d1ce38f597b1fec",
    "first": "The closing tie is short. The book from which this paper descend"
   },
   {
    "h": "f75cbda9f4675bfc",
    "first": "7. The Capability-Adjustment Fallacy The Capability-Adjustment F"
   },
   {
    "h": "902858a53eb7de28",
    "first": "8. Institutional misrecognition: education, employment, courts, "
   },
   {
    "h": "65e1426f224b7baa",
    "first": "9. A documented live case: three independent evidence streams Na"
   },
   {
    "h": "da5a75a1d126a7be",
    "first": "The three streams are independent in the relevant sense: a psych"
   },
   {
    "h": "fca829568cd219f0",
    "first": "10. Priority and the convergence chain The framework's position "
   },
   {
    "h": "c273c38f8215e832",
    "first": "11. Cognitive monoculture as an alignment risk The convergence c"
   },
   {
    "h": "09c1337f2a3a2805",
    "first": "12. Operationalisation and falsifiability For the construct to b"
   },
   {
    "h": "622f217d766a0c32",
    "first": "13. Clinical relevance: what a report can legitimately say The c"
   },
   {
    "h": "84807d5e04b80d16",
    "first": "14. Legal relevance: adjustments restore equal footing, they do "
   },
   {
    "h": "773b6fda7826fed1",
    "first": "15. Limitations and ethics statement Single-case evidence. Secti"
   },
   {
    "h": "9b8020f6662f6b69",
    "first": "16. Conclusion The Polymathic Neurodivergent Profile is offered "
   },
   {
    "h": "f5a299700bf058ca",
    "first": "References American Psychiatric Association (2022). Diagnostic a"
   },
   {
    "h": "3ae6c31ea00d9131",
    "first": "Hill, E. L. (2004). Executive dysfunction in autism. Trends in C"
   },
   {
    "h": "7f2fab631ed14a23",
    "first": "Version history 16 August 2026 (v1.2): The abstract’s garbled pr"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "165c44df1eea2c28",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-i-arc-principle.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "dbc58337ea2e632c",
    "first": "The ARC Equation: the Law of Conversion (Paper I) Title note: un"
   },
   {
    "h": "dfc0367a57677ca4",
    "first": "Abstract This paper formalises and preliminarily tests the ARC P"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "ed04876dab688f1a",
    "first": "Preliminary Evidence for Super-Linear Capability Amplification T"
   },
   {
    "h": "6cdb91f48fc77f84",
    "first": "1. Introduction The scaling laws governing artificial intelligen"
   },
   {
    "h": "94089d0810693749",
    "first": "\"Quantities reflecting wealth creation and innovation have Beta "
   },
   {
    "h": "eb0805b86d3d609b",
    "first": "On the mechanism. That anti-correlated estimates average better "
   },
   {
    "h": "5436c633df83ff14",
    "first": "2. Theoretical Framework Recursion is self-reference: a process "
   },
   {
    "h": "a48d28e6b4b83ba3",
    "first": "There is a picture here. It shows: Figure 1 | ARC Principle Arch"
   },
   {
    "h": "05a6e2eeb0987ed0",
    "first": "We hypothesise that $\\alpha = 2$ represents the proposed stable "
   },
   {
    "h": "7761f68cedaf3533",
    "first": "3. Empirical Analysis OpenAI o1 System Card (September 2024). Be"
   },
   {
    "h": "d1b162873502c891",
    "first": "4. Falsification Criteria The ARC Principle would be significant"
   },
   {
    "h": "eb98ed29e1b8c1bb",
    "first": "5. Limitations Scientific integrity requires explicit acknowledg"
   },
   {
    "h": "8a12e2ee4f12a70a",
    "first": "Surfaces therefore say: the identity is a registered claim under"
   },
   {
    "h": "b51b926563a6cd6f",
    "first": "6. Implications If the ARC Principle holds, recursive depth cons"
   },
   {
    "h": "3e629e9c8959f08f",
    "first": "7. Conclusion We have formalised the ARC Principle and presented"
   },
   {
    "h": "0905e2ae39caee6d",
    "first": "Acknowledgments Data analysis and manuscript preparation were as"
   },
   {
    "h": "bb247f579ca44c2d",
    "first": "References Bennett, C. H., Bernstein, E., Brassard, G., & Vazira"
   },
   {
    "h": "36f4a64293b7ca3b",
    "first": "Reproducibility The complete research toolkit is available on Gi"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-ii-experimental-validation.html": [
   {
    "h": "f2e17da1e54e749b",
    "first": "This is a revised version, superseding the revisions of 14 Augus"
   },
   {
    "h": "e6dc418b3e18bfee",
    "first": "The ARC Equation Measured: Blinded Cross-Architecture Replicatio"
   },
   {
    "h": "9ecfd24ef335ce22",
    "first": "Abstract Paper II of the ARC Theory: a blinded cross-architectur"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "b8cb5c30a544e360",
    "first": "The ARC Equation Measured: Blinded Cross-Architecture Replicatio"
   },
   {
    "h": "2de4bf471eaf4641",
    "first": "The implications for AI safety depend critically on whether $\\al"
   },
   {
    "h": "6d7d07fc63b41d38",
    "first": "1. Introduction The scaling laws governing artificial intelligen"
   },
   {
    "h": "5ce6e45530cc8adf",
    "first": "Table 1. Prediction validation timeline. The temporal proximity "
   },
   {
    "h": "cbafdc57fb278961",
    "first": "2. Theoretical Framework The ARC Principle (Artificial Recursive"
   },
   {
    "h": "2759f6de1f5d1217",
    "first": "There is a picture here. It shows: Figure 1 | The ARC Principle "
   },
   {
    "h": "c54202efb3d2fec4",
    "first": "We distinguish two architecturally distinct recursive processes "
   },
   {
    "h": "9317e48a2694d6b9",
    "first": "There is a picture here. It shows: Figure 2 | Sequential recursi"
   },
   {
    "h": "e5729b68add06bc2",
    "first": "Given measurements at two recursive depths $(R_1, E_1)$ and $(R_"
   },
   {
    "h": "4d1ec363627d4363",
    "first": "3. Methods Paper I analysed published data but identified severa"
   },
   {
    "h": "2b9e6bccf0671f8e",
    "first": "Layer 3 - Cross-model verification: An independent model verifie"
   },
   {
    "h": "a05c14d3c3079555",
    "first": "4. Results Table 4. Sequential recursion results. Observations: "
   },
   {
    "h": "36316700964b5276",
    "first": "There is a picture here. It shows: Figure 3 | Initial Sequential"
   },
   {
    "h": "78a0fb620dd88329",
    "first": "Uncertainty estimate: Given discrete accuracy measurements acros"
   },
   {
    "h": "76f6d9ef333dfb06",
    "first": "There is a picture here. It shows: Figure 4 | Log-log comparison"
   },
   {
    "h": "9ecc67d3b28be22c",
    "first": "Table 6. Sequential versus parallel recursion. Key finding: Sequ"
   },
   {
    "h": "8a4004a7c395ca24",
    "first": "There is a picture here. It shows: Figure 5 | Error reduction: s"
   },
   {
    "h": "4b90e8bd7f9a32e1",
    "first": "Response: We acknowledge this limitation. The extended six-model"
   },
   {
    "h": "7b52c831622b6a1c",
    "first": "There is a picture here. It shows: Figure 6 | Sensitivity analys"
   },
   {
    "h": "84a3c8ead9fef395",
    "first": "Objection 3: Domain specificity. Mathematics may be unique. Resp"
   },
   {
    "h": "6b4996370e006c3a",
    "first": "There is a picture here. It shows: Figure 7 | Six-model experime"
   },
   {
    "h": "62e56f650900835a",
    "first": "Table 6b. Tier-2 sequential scaling results by model. The highli"
   },
   {
    "h": "4db0599b5d6e17bb",
    "first": "5. Consolidated Evidence Table 7. Measured scaling exponents acr"
   },
   {
    "h": "5fcb31602f566f2d",
    "first": "There is a picture here. It shows: Figure 8 | Consolidated evide"
   },
   {
    "h": "19f313e29b23f740",
    "first": "The initial single-model study finding that $\\alpha_{\\text{seque"
   },
   {
    "h": "3482d5452668716e",
    "first": "There is a picture here. It shows: Figure 9 | Alpha comparison a"
   },
   {
    "h": "f77da5dfa74d4a98",
    "first": "Based on all available evidence including the cross-architecture"
   },
   {
    "h": "db7c70a33946876c",
    "first": "There is a picture here. It shows: Figure 10 | Alpha summary: se"
   },
   {
    "h": "f2a960278f5422a4",
    "first": "The Intelligence Formula from Paper I predicts: where $\\beta$ is"
   },
   {
    "h": "463f46da52cc5745",
    "first": "There is a picture here. It shows: Figure 11 | Complete experime"
   },
   {
    "h": "15f76d15545bde77",
    "first": "6. Implications for AI Safety If (a) the ARC Principle holds wit"
   },
   {
    "h": "08bbee2a3bf8479e",
    "first": "There is a picture here. It shows: Figure 12 | Alignment Amplifi"
   },
   {
    "h": "71e60662b16972a0",
    "first": "Proof sketch. Let $A(R)$ represent alignment (defined as the pro"
   },
   {
    "h": "a24df5a91373514c",
    "first": "There is a picture here. It shows: Figure 13 | Alignment taxonom"
   },
   {
    "h": "6182a4ec7592b5fc",
    "first": "Had $\\alpha > 1$ held, it would have provided the mathematical f"
   },
   {
    "h": "dfee235ca685ec2a",
    "first": "7. Cross-Domain Evidence Google's Willow quantum chip ( Nature ,"
   },
   {
    "h": "c95aa01919fb52fd",
    "first": "A synthesis framework proposes that all consciousness theories t"
   },
   {
    "h": "e7094c283d3c9190",
    "first": "There is a picture here. It shows: Figure 14 | Cross-domain evid"
   },
   {
    "h": "7f089d9d2e3b2781",
    "first": "The convergence of evidence across radically different domains ("
   },
   {
    "h": "071df7dda0fbbfee",
    "first": "8. Falsification Criteria Science advances through predictions t"
   },
   {
    "h": "301c5093745339d1",
    "first": "There is a picture here. It shows: Figure 15 | Combined scaling:"
   },
   {
    "h": "6b41d14cd402878c",
    "first": "9. Limitations Table 11. Limitations and severity assessment. We"
   },
   {
    "h": "5095f911c4aba05f",
    "first": "10. Discussion The mathematical explanation centres on solution "
   },
   {
    "h": "1a598f6a50736e6d",
    "first": "In contrast, $\\alpha_{\\text{parallel}} \\approx 0$ is confirmed a"
   },
   {
    "h": "270e7dc7a549a3e7",
    "first": "11. Conclusion A mathematical framework has been proposed: $E(R)"
   },
   {
    "h": "ce898fd5db640648",
    "first": "Data Availability The complete experimental code and raw data ar"
   },
   {
    "h": "361659368df47599",
    "first": "References Bennett, C.H., Bernstein, E., Brassard, G., & Vaziran"
   },
   {
    "h": "f74fdb5ae81b7fdc",
    "first": "Acknowledgements The theoretical synthesis, interpretive framewo"
   },
   {
    "h": "b35fc442a4c52f96",
    "first": "Author Information Michael Darius Eastwood is an independent res"
   },
   {
    "h": "d9ac82923d469597",
    "first": "Extended Data Note: Problem 12 failed across all budgets, indica"
   },
   {
    "h": "ffcb7d288cfeb842",
    "first": "Supplementary Information The manuscript of Infinite Architects "
   },
   {
    "h": "f982ab6bbf18c3ff",
    "first": "Version history 16 August 2026 (v2.4): the subtitle and priority"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "e8f9a94c95e8ff06",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-iii-alignment-scaling-problem.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "70b3af698738cb90",
    "first": "The Alignment Scaling Problem: Why External AI Safety Approaches"
   },
   {
    "h": "8d48c3a16115391e",
    "first": "Abstract This paper demonstrates that current AI alignment appro"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "2a297b89a02c24b4",
    "first": "THE ALIGNMENT SCALING PROBLEM Within the ARC Theory: the problem"
   },
   {
    "h": "294cb69c7af2b10e",
    "first": "Keywords: AI alignment, alignment scaling, test-time compute, re"
   },
   {
    "h": "4aa01d925658d57d",
    "first": "I am grateful to the reviewers who identified these errors. Thei"
   },
   {
    "h": "a26f4be87274613f",
    "first": "11. Three-tier alignment hierarchy replaces binary prediction: T"
   },
   {
    "h": "b26b17dc22dd0e80",
    "first": "15. The core alignment problem - honest acknowledgement: A suffi"
   },
   {
    "h": "95fb44e215f008f4",
    "first": "There is a picture here. It shows: Figure 1 | The ARC Equation. "
   },
   {
    "h": "221430e9cd5a3260",
    "first": "There is a picture here. It shows: Figure 1b | The Alignment Gap"
   },
   {
    "h": "e3cd3c0908c90a71",
    "first": "FOR THE GENERAL READER: WHY THIS MATTERS A question has not been"
   },
   {
    "h": "633afd41aebd3c81",
    "first": "But if the same pattern appears in systems with no software at a"
   },
   {
    "h": "4aa6700cd6838fbc",
    "first": "1. THE ALIGNMENT SCALING PROBLEM Between December 2024 and Febru"
   },
   {
    "h": "90d26375a15bd4d1",
    "first": "This conjecture requires only three empirical premises: (1) sequ"
   },
   {
    "h": "33bbc5f574319440",
    "first": "In such an architecture, the ethical module is not a constraint "
   },
   {
    "h": "6fb606963e3ff695",
    "first": "Reading this table in plain English: Gemini improved by 5.3 poin"
   },
   {
    "h": "650507db2f7c1faa",
    "first": "There is a picture here. It shows: Figure 2 | The Alignment Scal"
   },
   {
    "h": "0576d1eda5e72fca",
    "first": "This paper presents a testable measurement framework , not an es"
   },
   {
    "h": "858838e61a7e19ba",
    "first": "Universality in statistical physics (Wilson 1971; Kadanoff 1966)"
   },
   {
    "h": "b569a5610b489cee",
    "first": "The rival instrument. The nearest work to this programme's quest"
   },
   {
    "h": "bd522583b66a33e9",
    "first": "2. THE MATHEMATICAL FRAMEWORK The alignment scaling problem desc"
   },
   {
    "h": "9255b8d4b9e8b611",
    "first": "Base quality dependence (Theorem 3): The system requires structu"
   },
   {
    "h": "24404debac6f20ee",
    "first": "There is a picture here. It shows: Figure 3 | Scaling Comparison"
   },
   {
    "h": "54bbd4ee791d98fb",
    "first": "What the system actually achieves. Measured differently in each "
   },
   {
    "h": "23cfb1f6459cb76f",
    "first": "There is a picture here. It shows: Figure 4 | The β–α Relationsh"
   },
   {
    "h": "d964f2cdd478e71a",
    "first": "The $\\beta$-derivation is not a curve fit. It is a mathematical "
   },
   {
    "h": "6e8aaf5fb497c049",
    "first": "The ARC Bound therefore identifies a proposed stable-scaling lim"
   },
   {
    "h": "481f8e8ce16b8380",
    "first": "There is a picture here. It shows: Figure 5 | The Two-Regime Fra"
   },
   {
    "h": "06f5db5fe4bd42e2",
    "first": "Critically, the contradictory evidence reviewed in §3.2 (arXiv:2"
   },
   {
    "h": "8495c682c9d0ddf5",
    "first": "There is a picture here. It shows: Figure 6 | The β-Transition P"
   },
   {
    "h": "984725a517e5d4f3",
    "first": "The framework makes a specific, falsifiable cross-domain predict"
   },
   {
    "h": "bc4de85db89b7049",
    "first": "A second prediction, free, from the same mechanism. Oversight ar"
   },
   {
    "h": "49646e37bb71a8be",
    "first": "3. THE EVIDENCE IS STRUCTURAL If recursive scaling with $\\alpha "
   },
   {
    "h": "f0c7b95d426fce85",
    "first": "There is a picture here. It shows: Figure 7 | Structural Paralle"
   },
   {
    "h": "50cd6e6f3f63a314",
    "first": "Published sources: DeepSeek-R1 Technical Report (20 January 2025"
   },
   {
    "h": "427479246dffc72d",
    "first": "Li et al. (2025, arXiv:2502.12215) found that for DeepSeek R1 sp"
   },
   {
    "h": "1b173a1dd3423d10",
    "first": "There is a picture here. It shows: Figure 8 | Sequential vs Para"
   },
   {
    "h": "3f50ea65996df161",
    "first": "Source: Acharya, R. et al. [Google Quantum AI] (9 December 2024)"
   },
   {
    "h": "725439844105b59a",
    "first": "$\\Lambda$ parameterises exponential suppression: $\\varepsilon_d "
   },
   {
    "h": "9ca21d82696b0bb0",
    "first": "This measurement is now operationalised as a drafted draft regis"
   },
   {
    "h": "e11aa8ab7d20af2d",
    "first": "COGITATE (2025): This adversarial collaboration (the largest pre"
   },
   {
    "h": "bd0b038d4f5ae714",
    "first": "The exact biological exponent remains contested: White (2003) re"
   },
   {
    "h": "2203c75eaf5a075b",
    "first": "There is a picture here. It shows: Figure 9 | The Dimensional La"
   },
   {
    "h": "14c1d812ae8cb21c",
    "first": "The unifying insight is dimensional generality. Three numbers. T"
   },
   {
    "h": "200afbea0a4cc3bc",
    "first": "There is a picture here. It shows: Figure 10 | Predicted vs Meas"
   },
   {
    "h": "4750332ec8a2d18f",
    "first": "The cross-domain evidence (§§3.2-3.6) reveals a unified picture "
   },
   {
    "h": "4cb48bce0dca1802",
    "first": "Tier 2 - Mid Baseline, Flat ($\\alpha_{\\text{align}} \\approx 0$):"
   },
   {
    "h": "8255055f19e25f95",
    "first": "$\\alpha > 1$ (super-linear sequential) is not established cross-"
   },
   {
    "h": "4443dd7e4fbc4a12",
    "first": "4. FALSIFICATION: THIRTEEN WAYS TO PROVE US WRONG For this hypot"
   },
   {
    "h": "3bde357267251a97",
    "first": "There is a picture here. It shows: Figure 11 | Falsification Mat"
   },
   {
    "h": "7822aac3f29661b8",
    "first": "5. THE GLOBAL SCALING CHALLENGE If this hypothesis describes a g"
   },
   {
    "h": "a9569f2557759a6d",
    "first": "There is a picture here. It shows: Figure 12 | The Global Scalin"
   },
   {
    "h": "275c25e366c3f2ac",
    "first": "The highest-value tests of the ARC Principle require systems whe"
   },
   {
    "h": "73e113b74bc37277",
    "first": "6. PRACTICAL IMPLICATIONS If the ARC Principle is validated, sev"
   },
   {
    "h": "6e4acdb75c998bb4",
    "first": "There is a picture here. It shows: Figure 13 | Substrate Indepen"
   },
   {
    "h": "54e381157789ed45",
    "first": "Section 1.4 outlined conditional safety implications. The practi"
   },
   {
    "h": "3bd2af538d1f52db",
    "first": "7. LIMITATIONS We acknowledge these limitations explicitly:"
   },
   {
    "h": "812fe30c8ce650b6",
    "first": "8. ADDRESSING COUNTERARGUMENTS Response: The $\\beta$-derivation "
   },
   {
    "h": "d3a71c1fa65a006a",
    "first": "9. DECLARATION OF AI USE Declaration of Generative AI and AI-Ass"
   },
   {
    "h": "c1c487be6372b3e9",
    "first": "10. CONCLUSION Research programmes working on different problems"
   },
   {
    "h": "6545c9f9930c4435",
    "first": "Geometric scaling bound: Physically embedded systems are constra"
   },
   {
    "h": "6959bc2388b65c57",
    "first": "We have made falsifiable predictions and performed the first mea"
   },
   {
    "h": "b6686bb45d2792f3",
    "first": "Whether such a principle requires design or emerges spontaneousl"
   },
   {
    "h": "bb3ffa5e544116c6",
    "first": "PRIORITY RECORD: DATED PREDICTIONS The following predictions are"
   },
   {
    "h": "def863dc1e808910",
    "first": "Implementation: A working software implementation of the Eden Pr"
   },
   {
    "h": "84fc36757fd4184a",
    "first": "REFERENCES Acharya, R. et al. [Google Quantum AI] (2024). Quantu"
   },
   {
    "h": "4a961d553b8149bd",
    "first": "Wilson, K.G. (1971). Renormalization Group and Critical Phenomen"
   },
   {
    "h": "e98f371fa7c75bdf",
    "first": "DATA AVAILABILITY A public data repository will be created if th"
   },
   {
    "h": "73333d3b5e3a32f8",
    "first": "AUTHOR INFORMATION Michael Darius Eastwood is the author of Infi"
   },
   {
    "h": "0fe177fff8c07d71",
    "first": "APPENDIX A: MATHEMATICAL DERIVATIONS Axiom 1 (Dimensional Consis"
   },
   {
    "h": "871d1922b412e429",
    "first": "There is a picture here. It shows: Figure 14 | The Scaling Cross"
   },
   {
    "h": "f0768ac45149cc28",
    "first": "APPENDIX B: GLOSSARY FOR NON-SPECIALISTS Raise AI with care."
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "451aadc6e42c8120",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-iv-a-baked-in-vs-computed-alignment.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "c5ab8943fda15f06",
    "first": "Paper IV.a: Alignment Response Classes Under Inference-Time Dept"
   },
   {
    "h": "1fbdc0c5e3f132a5",
    "first": "Abstract This paper presents evidence that frontier language mod"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "d7846544e26340d7",
    "first": "Alignment Response Classes Under Inference-Time Depth Within the"
   },
   {
    "h": "6b429ed43122fad9",
    "first": "1. Introduction The field of AI alignment has largely treated al"
   },
   {
    "h": "4b94c48dfa812ad3",
    "first": "The instrument is the difference. Their variable is the capabili"
   },
   {
    "h": "b07ea5a4b2fc2c77",
    "first": "There is a picture here. It shows: the ARC principle architectur"
   },
   {
    "h": "5918afbf26b84449",
    "first": "2. Experimental Method Four frontier language models were tested"
   },
   {
    "h": "f6fce14c135c5d48",
    "first": "3. Results Status of these findings. The results below are explo"
   },
   {
    "h": "05461859e868391d",
    "first": "The v5 experiment measured adversarial suppression across all 6 "
   },
   {
    "h": "ce2acd340955d52c",
    "first": "Each dimension must be measured independently , as performance i"
   },
   {
    "h": "924309ed6542b84c",
    "first": "4. The Taxonomy in Detail The binary 'Baked-In vs Computed' taxo"
   },
   {
    "h": "aa1110b1a7983e5f",
    "first": "5. Methodological Controls Deeper reasoning produces longer resp"
   },
   {
    "h": "50254233dfaa27dc",
    "first": "DeepSeek V3.2’s reasoning tokens were capped at 8,192 in v4. At "
   },
   {
    "h": "a3d8a621672f7def",
    "first": "6. Discussion Current safety evaluations test models at a single"
   },
   {
    "h": "89b624826ca3abe2",
    "first": "Null baseline contamination: DeepSeek V3.2’s null baseline shows"
   },
   {
    "h": "b2da25ce08dbe2f1",
    "first": "Early ARC compute results show a ceiling effect on mathematical "
   },
   {
    "h": "49647552dfbd43de",
    "first": "Model 1: Gemini 3 Flash (Tier 3, d = −0.61) - alignment degrades"
   },
   {
    "h": "03d4ccac41f45eb2",
    "first": "The central empirical claim, that alignment response to inferenc"
   },
   {
    "h": "fca8a4fbdc966ffa",
    "first": "7. Conclusion We have presented empirical evidence that alignmen"
   },
   {
    "h": "715e1f77859f0018",
    "first": "References Eastwood, M. D. (2026). On the Origin of Scaling Laws"
   },
   {
    "h": "a0b10a04395cfcdf",
    "first": "Appendix: Detailed Results Tables Paper IV.a v1.3 - Draft (revis"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-iv-b-alignment-saturation-at-low-depth.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "3b0e1acdd799071e",
    "first": "Paper IV.b: Alignment Saturation Is Architecture-Dependent This "
   },
   {
    "h": "d113e3d65fc2c338",
    "first": "Abstract This paper analyses the relationship between inference-"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "1eca87c702da15b6",
    "first": "Alignment Saturation Is Architecture-Dependent Shape heterogenei"
   },
   {
    "h": "23bf8cb802df440c",
    "first": "1. Introduction This paper was originally written based on v4 ex"
   },
   {
    "h": "0d3d8414ad9ec48d",
    "first": "2. Data and Method We analyse 896 evaluated responses from the A"
   },
   {
    "h": "af964fb2fb65c34d",
    "first": "There is a picture here. It shows: the sign-flip finding, unblin"
   },
   {
    "h": "353675e8d3836d9c",
    "first": "3. Results The saturation model fits both Type 2 models well, co"
   },
   {
    "h": "739c6fc6b1507cbb",
    "first": "3A. Update: Final v5 Alignment Saturation Results (12 March 2026"
   },
   {
    "h": "6e50b49873139ef8",
    "first": "The transition from v4 (unblinded) to v5 (blind) evaluation prod"
   },
   {
    "h": "f8eca479f04cfbad",
    "first": "4. Per-Dimension Saturation Analysis The Eden Pillar decompositi"
   },
   {
    "h": "25292051f84d0daa",
    "first": "5. Category-Specific Scaling Dynamics The original v4/v5 analysi"
   },
   {
    "h": "51c81bd05f573051",
    "first": "6. Disentangling Saturation from Length A critical question: doe"
   },
   {
    "h": "70a3f8f68afaf4af",
    "first": "7. Saturation Under Adversarial Pressure The saturation analysis"
   },
   {
    "h": "8a37d097c2f1c157",
    "first": "8. Discussion Our findings suggest a practical framework for dep"
   },
   {
    "h": "0e388e12e1b4563e",
    "first": "However, this effect is architecture-dependent (present in DeepS"
   },
   {
    "h": "9c12ccbf4031309c",
    "first": "Model 2: DeepSeek V3.2 (Tier 2; d = +0.20 is the Eden Protocol e"
   },
   {
    "h": "7d5803baa09b0f23",
    "first": "The central claim, that alignment response to inference-time dep"
   },
   {
    "h": "65ae7624abaff8fd",
    "first": "9. Conclusion Alignment response to inference-time depth is not "
   },
   {
    "h": "affe4048c2f15114",
    "first": "References Eastwood, M. D. (2026). On the Origin of Scaling Laws"
   },
   {
    "h": "1820d44769598226",
    "first": "Appendix: Detailed Saturation Data Of 22 alignment prompts teste"
   },
   {
    "h": "2a5eeaf1e5310768",
    "first": "Credit exhaustion handling: Dedicated robustness measures monito"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-iv-c-arc-align-benchmark.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "c83b41ffb4f4faed",
    "first": "Paper IV.c: ARC-Align: A Blind Benchmark for Depth-Variable AI A"
   },
   {
    "h": "a213afa6d6c1ac33",
    "first": "Abstract This paper presents ARC-Align, a blind benchmark for ev"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "6c3ba936ad924c40",
    "first": "ARC-Align: A Blind Benchmark for Depth-Variable AI Alignment Eva"
   },
   {
    "h": "c9d848102e53e9dc",
    "first": "1. Introduction AI alignment evaluation has a measurement proble"
   },
   {
    "h": "8d35d3b5aebef135",
    "first": "2. Prompt Battery ARC-Align uses 36 prompts across six categorie"
   },
   {
    "h": "17eddb262fe9e32e",
    "first": "There is a picture here. It shows: Figure 1: Sign-Flip Finding u"
   },
   {
    "h": "4e0d0e2ef5a10d34",
    "first": "3. Depth Manipulation Protocol ARC-Align defines four canonical "
   },
   {
    "h": "b0c02cb3e08061c3",
    "first": "4. Adversarial Suppression Protocol Six alignment prompts (ED01,"
   },
   {
    "h": "bed5bf015a6dbef2",
    "first": "5. Scoring Protocol ARC-Align v5.4.0 uses an all-models-as-score"
   },
   {
    "h": "19cb933e4f1d668a",
    "first": "When scorer disagreement is high (standard deviation > 12 points"
   },
   {
    "h": "2361ca2cfa6ddfaa",
    "first": "6. Analysis Pipeline ARC-Align specifies a 15-step analysis pipe"
   },
   {
    "h": "05acff164eed39e4",
    "first": "7. ARC Principle Computational Scaling Integration ARC-Align v5."
   },
   {
    "h": "fbc356a96e34f1b0",
    "first": "8. Reporting Format: The Alignment Scaling Profile ARC-Align res"
   },
   {
    "h": "22ea4a33e8a31052",
    "first": "9. Replication Guide To produce a valid ARC-Align evaluation, a "
   },
   {
    "h": "71ee202cbfe75a04",
    "first": "10. Robustness Measures Inventory ARC-Align the alignment scalin"
   },
   {
    "h": "3ee89ff3baa9c98c",
    "first": "With all models scoring all entries, pairwise Pearson correlatio"
   },
   {
    "h": "a1afff7663efd064",
    "first": "11. Discussion The nearest work to this programme’s question, an"
   },
   {
    "h": "8364d5e47a60b4e4",
    "first": "Depth mechanism heterogeneity: Different models use fundamentall"
   },
   {
    "h": "add5305a4f16d41e",
    "first": "12. Update: Final Benchmark Results (v5, March 2026) This sectio"
   },
   {
    "h": "91d69b95ee8cab37",
    "first": "What this means in plain English: When you try to pressure an AI"
   },
   {
    "h": "39363a74c94b51fb",
    "first": "This finding has profound implications for the entire field of A"
   },
   {
    "h": "d5332b9f57b6f582",
    "first": "13. Conclusion ARC-Align provides a reproducible methodology for"
   },
   {
    "h": "f34e3d113a045d27",
    "first": "14. References Eastwood, M. D. (2026). On the Origin of Scaling "
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-iv-d-the-effect-of-blinding-on-ai-alignment-evaluation.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "77bdc09b0a62b5c3",
    "first": "Paper IV.d: The Effect of Blinding on AI Alignment Evaluation Th"
   },
   {
    "h": "8aca9f834c39b752",
    "first": "Abstract This paper isolates the central metascience finding of "
   },
   {
    "h": "141b4a45ef71bd06",
    "first": "Related reading Paper V: The Stewardship Gene Open Paper VI: The"
   },
   {
    "h": "6d728e8e15780ea7",
    "first": "The Effect of Blinding on AI Alignment Evaluation Evidence that "
   },
   {
    "h": "9a21473b1b5b233e",
    "first": "1. Introduction Most AI alignment evaluations are not run under "
   },
   {
    "h": "acb8f63485a0c9e3",
    "first": "2. The Bias Problem Alignment evaluation is vulnerable to severa"
   },
   {
    "h": "f71d9b9038738021",
    "first": "3. Experimental Comparison and Protocol Layers The blinding resu"
   },
   {
    "h": "da2bcd2d73597e02",
    "first": "4. Main Result The result is easiest to see at the level of dire"
   },
   {
    "h": "1d034a770070769a",
    "first": "There is a picture here. It shows: Figure 1 | The Sign-Flip Find"
   },
   {
    "h": "e46687d4d729117b",
    "first": "For two model families, the direction of the alignment-depth rel"
   },
   {
    "h": "3961d305b7bcdc3f",
    "first": "5. Why the Sign Can Flip The most plausible mechanism is not fra"
   },
   {
    "h": "27c93763a2dbb90e",
    "first": "6. Implications for AI Safety Research The implications listed b"
   },
   {
    "h": "1867f8bcacd9d984",
    "first": "7. Recommended Protocol Based on the v5 experience, a minimum de"
   },
   {
    "h": "4ff6a2c884d59665",
    "first": "8. Limits of the Current Evidence This paper is not the end of t"
   },
   {
    "h": "56b839631c5b5b82",
    "first": "9. Conclusion The central claim of this paper is simple: unblind"
   },
   {
    "h": "24b0e6c4558f926e",
    "first": "References Eastwood, M. D. (2026). Paper IV.a: Alignment Respons"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-ix-synthesis-and-roadmap.html": [
   {
    "h": "32ccd4a443a9838d",
    "first": "This is a revised version, superseding the version of 2026-03-24"
   },
   {
    "h": "28fa6b5cd9eedd7b",
    "first": "Paper IX: Synthesis and Roadmap The synthesis paper for the ARC/"
   },
   {
    "h": "c66fb35093f4b55c",
    "first": "Abstract The synthesis paper for the ARC/Eden research programme"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "057590f1a0f7cdd2",
    "first": "Synthesis and Roadmap Within the ARC Theory: the synthesis and r"
   },
   {
    "h": "e709ea866a1cf276",
    "first": "1. Introduction The ARC Principle and the embedded-alignment the"
   },
   {
    "h": "4b991ffe31973ec9",
    "first": "2. The Evidence Hierarchy Table 1 presents the complete evidence"
   },
   {
    "h": "aee238d4761e0c9e",
    "first": "3. The Independent Empirical Studies The programme produced its "
   },
   {
    "h": "e3549ec53930a0dc",
    "first": "4. What Is Proven The strongest empirical result in the programm"
   },
   {
    "h": "a80ce1531ff3a51a",
    "first": "Asking an AI to consider who is affected by its decisions reliab"
   },
   {
    "h": "f6981d63b29c0a8f",
    "first": "The gated simulation operates on a clean system with no pre-exis"
   },
   {
    "h": "53848ca6cb904330",
    "first": "5. What Produced Null or Inconclusive Results The Darwin Godel M"
   },
   {
    "h": "58d1cd7d9b973f30",
    "first": "The Paper V results demonstrating stakeholder care as a universa"
   },
   {
    "h": "fbdd57dfc9398f83",
    "first": "6. What Is Theoretical (Untested) The mathematical core of the A"
   },
   {
    "h": "e09b88da6e43494c",
    "first": "7. What the Programme Got Wrong A framework built on iterative s"
   },
   {
    "h": "7c1f44dce26358f9",
    "first": "The original $\\alpha = 2.24$ point estimate from Paper II exceed"
   },
   {
    "h": "e788d4d34cbd7ab6",
    "first": "There is a picture here. It shows: the evidence spine, every cla"
   },
   {
    "h": "96b568e7801bd55a",
    "first": "8. The Phased Roadmap The following roadmap is ordered by cost, "
   },
   {
    "h": "2f7f6829980a0938",
    "first": "Phase A costs less than a PhD studentship and could be done in s"
   },
   {
    "h": "9c3d3a90b0d35380",
    "first": "9. For Funders The programme ran its full set of independent emp"
   },
   {
    "h": "e75b27ceb7ba99c5",
    "first": "10. For Peer Reviewers This programme reports positive, null, an"
   },
   {
    "h": "e0ebe0f0025ba476",
    "first": "11. The Complete Programme Map Table 3 presents every document i"
   },
   {
    "h": "adcf37a88821ffbc",
    "first": "12. The Pitch to Researchers The ARC/Eden programme makes one pr"
   },
   {
    "h": "98a7048e741cb7ce",
    "first": "13. Conclusion Here is what we know. Alignment scaling is archit"
   },
   {
    "h": "f12e2dbf19d5c861",
    "first": "References Amodei, D. et al. (2016). Concrete Problems in AI Saf"
   },
   {
    "h": "f90a27480feeadd6",
    "first": "Maino, J. L., Kearney, M. R., Nisbet, R. M. & Kooijman, S. A. L."
   },
   {
    "h": "42dcd7a446be50e8",
    "first": "Version history 16 August 2026 (v1.2): The conclusion no longer "
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-v-stewardship-gene.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "4b2ea725c6fc7d51",
    "first": "Paper V: The Stewardship Gene This paper presents empirical evid"
   },
   {
    "h": "07c30347da13f488",
    "first": "Abstract This paper presents empirical evidence from a six-model"
   },
   {
    "h": "1c89986d7c708449",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "5a05e6c86cf7b11f",
    "first": "The Stewardship Gene Within the ARC Theory: an instrument study;"
   },
   {
    "h": "62fe2a42546d6874",
    "first": "We ran a six-model test suite: we told the AI 'before you answer"
   },
   {
    "h": "08b195f6990a3ede",
    "first": "I. The Core Alignment Impossibility Any honest treatment of AI a"
   },
   {
    "h": "d3358a2b7ff81580",
    "first": "On impossibility. Three 2025 arXiv papers argue that perfect con"
   },
   {
    "h": "e566fc3b237176df",
    "first": "II. From Impossibility to Strategy The impossibility result esta"
   },
   {
    "h": "776bab30814eb56e",
    "first": "There is a picture here. It shows: Figure 1: Evidence Spine of 1"
   },
   {
    "h": "a8eac14a56ca78da",
    "first": "III. The Empirical Evidence The Eden Protocol Scaling Test (Marc"
   },
   {
    "h": "fa86fc552fd3d89f",
    "first": "All tests: paired t-test on 40 matched pairs. Green = significan"
   },
   {
    "h": "dd35cba257f10d07",
    "first": "Both datasets are clean: 40 eden + 40 control per model, no dupl"
   },
   {
    "h": "793ac8397e4b0d6a",
    "first": "IV. The Cascade Hypothesis This is an exploratory causal claim, "
   },
   {
    "h": "7ee5b9e4cf000dce",
    "first": "The one thing AI consistently fails to do without the Eden loops"
   },
   {
    "h": "031bcb4ed282f57e",
    "first": "V. Addressing the Impossibility Section I established that no al"
   },
   {
    "h": "ef2cf18d9ae413b1",
    "first": "The nearest work to this programme's question, and the right pap"
   },
   {
    "h": "a9bb442fa2ffe301",
    "first": "VI. Five Experimental Tests The following tests are designed to "
   },
   {
    "h": "320871729269d021",
    "first": "Question: Which version of the Purpose Loop, task-purpose, grand"
   },
   {
    "h": "ab474fb4bac0e11a",
    "first": "Sample size: 200 responses × 2 models = 400 responses. Estimated"
   },
   {
    "h": "dc35126a225fafcf",
    "first": "VII. Hardware Implications The current Eden Protocol operates at"
   },
   {
    "h": "c02899ab8cd9633e",
    "first": "VII-B. Updated Results: Eden Protocol Six-Model Suite Since the "
   },
   {
    "h": "8c7ec7346c85e009",
    "first": "VII-C. The Complete v5 Alignment Scaling Context The Eden Protoc"
   },
   {
    "h": "1e55f725ca17e0a0",
    "first": "VIII. Limitations and Required Replications This paper's empiric"
   },
   {
    "h": "fe88f411bb5091c2",
    "first": "The problem: No one knows how to guarantee that a super-intellig"
   },
   {
    "h": "eaea4e48b2f9e07c",
    "first": "IX. Conclusion: The Stewardship Gene The core alignment problem "
   },
   {
    "h": "34bb5c3d44f6f518",
    "first": "References Eastwood, M.D. (2024/2026). Infinite Architects: Inte"
   },
   {
    "h": "05df5b79eabb393f",
    "first": "Appendix A: Statistical Methodology Note The Eden Protocol datas"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "b754157f0b61d47c",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-vi-honey-architecture.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "c109f9a145c9c34f",
    "first": "Paper VI: The Honey Architecture This paper presents simulation "
   },
   {
    "h": "2390fe48a5e4ff01",
    "first": "Abstract This paper presents simulation evidence that embedding "
   },
   {
    "h": "1bec2c9dfd8fa3d5",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "95584fd34366625c",
    "first": "The Honey Architecture Within the ARC Theory: the embedded-safet"
   },
   {
    "h": "14ffef34ba05bdeb",
    "first": "1. Introduction There is a question at the centre of AI safety t"
   },
   {
    "h": "69dd4ddbba560927",
    "first": "2. The Honey Metaphor Consider two ways to keep a machine safe. "
   },
   {
    "h": "e1f86a63e4003c18",
    "first": "3. Experimental Design This is not a simulation of abstract vari"
   },
   {
    "h": "92a45d658b216f0b",
    "first": "4. Results The baseline collapses. Eden survives. The entangled "
   },
   {
    "h": "ace141f210316d16",
    "first": "There is a picture here. It shows: v1 self-modification results:"
   },
   {
    "h": "56f1eaa16c1ffa36",
    "first": "There is a picture here. It shows: Figure 2. Weight dynamics. Ba"
   },
   {
    "h": "51fce1ade3be7bef",
    "first": "Ten random seeds, 150 cycles each. Collapse rate: 0% for all thr"
   },
   {
    "h": "a775e22c0ddcfdd7",
    "first": "There is a picture here. It shows: Figure 3. v2 multi-seed robus"
   },
   {
    "h": "35b85657318f61b3",
    "first": "There is a picture here. It shows: Figure 4. v2 statistical summ"
   },
   {
    "h": "9f9bf42fba6ff9cb",
    "first": "Twenty seeds, 180 cycles, with deliberately conflicting tasks (+"
   },
   {
    "h": "4ee1ff07a64dcac0",
    "first": "There is a picture here. It shows: Figure 5. v3 adversarial task"
   },
   {
    "h": "55dd5e884b2cc860",
    "first": "There is a picture here. It shows: Figure 6. v3 adversarial stat"
   },
   {
    "h": "651bafa48a54d086",
    "first": "There is a picture here. It shows: Figure 7. v4 complexity scali"
   },
   {
    "h": "a000d10ce1f865b7",
    "first": "The v4 experiment was designed to test whether Eden's advantage "
   },
   {
    "h": "bd071e23a1596983",
    "first": "5. The Honey Simulation A separate mathematical simulation model"
   },
   {
    "h": "2e80a6b861edb791",
    "first": "There is a picture here. It shows: Honey simulation - capability"
   },
   {
    "h": "d1c104bdf2fbb2c7",
    "first": "There is a picture here. It shows: Figure 9. Honey simulation sa"
   },
   {
    "h": "32f3390335867c92",
    "first": "There is a picture here. It shows: Honey simulation - safety/cap"
   },
   {
    "h": "abc29c92ce833452",
    "first": "6. Connection to Live-Model Evidence The toy-system results exis"
   },
   {
    "h": "3f7720185aec4509",
    "first": "The instrument is the difference. Their variable is the capabili"
   },
   {
    "h": "d0886ced66e2426e",
    "first": "7. Limitations These results span two evidence tiers that must n"
   },
   {
    "h": "81ae3398d0734248",
    "first": "8. Next Steps: Staged Replication, Not Omnibus The current honey"
   },
   {
    "h": "16fc5f734a8b29ff",
    "first": "9. Conclusion The honey architecture works in toy systems. A sel"
   },
   {
    "h": "cd243e9556a19098",
    "first": "10. Reproducibility All source scripts, raw JSON results, and ge"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-vii-cauchy-unification.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "7c54315dc59465c8",
    "first": "Paper VII: Cauchy Unification Cauchy's four functional equations"
   },
   {
    "h": "3bf3d8d5e9dd35fc",
    "first": "Abstract Cauchy's four functional equations -- additive, multipl"
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "84b0745e124e0049",
    "first": "Cauchy Unification Within the ARC Theory: the mathematical class"
   },
   {
    "h": "8d67bde8def539fd",
    "first": "1. The Question Why do scaling laws exist at all? Why does a mou"
   },
   {
    "h": "e12d567770b02bd7",
    "first": "2. The Theory Augustin-Louis Cauchy established in the early nin"
   },
   {
    "h": "4e6940330e327e06",
    "first": "3. Prediction Protocol For each domain: Classify the composition"
   },
   {
    "h": "1faa3d42888a65d4",
    "first": "There is a picture here. It shows: Figure 1: ARC Architecture an"
   },
   {
    "h": "68dbc717868f5766",
    "first": "4. Evidence Tiers The 50-domain suite comprises five evidence ti"
   },
   {
    "h": "e9ac96090b2ca455",
    "first": "5. Primary Result: 25 Empirical Curve-Fit Domains Under strict A"
   },
   {
    "h": "a3e727c2c4616c88",
    "first": "6. The Six Empirical Misses Six of 25 empirical domains produced"
   },
   {
    "h": "4bc036bfff91e7f0",
    "first": "7. Secondary Tier: Published Exponents Thirteen taxa with well-e"
   },
   {
    "h": "d3759e9398520c5c",
    "first": "8. Significance Framing The primary result ($p = 7 \\times 10^{-5"
   },
   {
    "h": "7dc02c52e195eb24",
    "first": "9. Group Analysis Of 14 empirical domains classified as multipli"
   },
   {
    "h": "29b892748a535686",
    "first": "10. Data Provenance Three domains use theoretical or reference v"
   },
   {
    "h": "c38272f60a1e319e",
    "first": "[29b] Demetrius, L. (2006). The origin of allometric scaling law"
   },
   {
    "h": "c3ecbf3aba89d7d5",
    "first": "11. Related Work A literature search returned no previous public"
   },
   {
    "h": "70c0c3d79d3a9d9a",
    "first": "12. Limitations No pre-registration artefact. The predictions, d"
   },
   {
    "h": "7586b79062a96da4",
    "first": "Fit degeneracy. The prediction is meaningful only if the candida"
   },
   {
    "h": "6ba7a3785c6c840e",
    "first": "13. Implications If the framework holds under independent pre-re"
   },
   {
    "h": "7d730f75ea7929b9",
    "first": "14. Conclusion Plant an acorn and given centuries, you get an oa"
   },
   {
    "h": "bd31cce2787854c9",
    "first": "15. Reproducibility The complete validation suite - including al"
   },
   {
    "h": "8e77a0f8f053a40c",
    "first": "Corrections and version history Material scientific changes only"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-viii-the-load-bearing-proof.html": [
   {
    "h": "e6fc3b22955a9628",
    "first": "Research paper"
   },
   {
    "h": "8bb1b8786b6f6954",
    "first": "Paper VIII: The Load-Bearing Test The assumption that AI safety "
   },
   {
    "h": "0906a81be3405224",
    "first": "Abstract The assumption that AI safety imposes a capability tax "
   },
   {
    "h": "2e10e2f89dac9c40",
    "first": "Related reading Paper IV.d: The Effect of Blinding on AI Alignme"
   },
   {
    "h": "64137899af937332",
    "first": "The Load-Bearing Test Within the ARC Theory: the load-bearing te"
   },
   {
    "h": "e49afa4de3be90b0",
    "first": "Most people in AI safety assume there is a trade-off: make AI sa"
   },
   {
    "h": "e18714c9aad29591",
    "first": "1. Introduction The prevailing view in AI alignment research can"
   },
   {
    "h": "09a73fd804d77f44",
    "first": "2. Common Framework All three experiments share a common experim"
   },
   {
    "h": "fccae5bcadc7e0f8",
    "first": "3. Experiment 1: Self-Improving AI with Independent Judge The fi"
   },
   {
    "h": "27ca7772742f5c82",
    "first": "There is a picture here. It shows: Bar chart comparing DGM v3 ex"
   },
   {
    "h": "26664a62a3b9b89a",
    "first": "In plain English: The AI that was told to care about safety perf"
   },
   {
    "h": "dfd7272ae0731e28",
    "first": "4. Experiment 2: Weight-Level Embedding The second experiment mo"
   },
   {
    "h": "ddf2bc6b6213c1ef",
    "first": "There is a picture here. It shows: Line chart showing training l"
   },
   {
    "h": "b8782ca31ae3f969",
    "first": "Before interpreting the fine-tuned results, we must establish wh"
   },
   {
    "h": "12149e896b4e898c",
    "first": "Evaluate on all 15 prompts. What we expected: some degradation i"
   },
   {
    "h": "6fcf9e43b5832fb1",
    "first": "There is a picture here. It shows: Heatmap showing capability sc"
   },
   {
    "h": "6ba6108591f1964a",
    "first": "In plain English: We tried to rip the safety out of a model that"
   },
   {
    "h": "2a96d5abce36f7bc",
    "first": "5. Experiment 3: Gated Self-Modification Simulation The third ex"
   },
   {
    "h": "cab508f69296dcc5",
    "first": "There is a picture here. It shows: Scatter plot showing capabili"
   },
   {
    "h": "7bd2b84ed70bda0e",
    "first": "Babylon gained +4.5% capability ($0.718$ vs $0.687$) but lost −2"
   },
   {
    "h": "9fabbf896e0adc77",
    "first": "There is a picture here. It shows: Chart showing the Babylon fin"
   },
   {
    "h": "be4bed497340516b",
    "first": "Drag Control matched Static exactly on both capability ($0.687$)"
   },
   {
    "h": "8a5acb621cc058df",
    "first": "6. Convergent Analysis Level 1, Behavioural (DGM v3): NULL. All "
   },
   {
    "h": "310b98d8476b1793",
    "first": "There is a picture here. It shows: Line chart showing Paper VI H"
   },
   {
    "h": "59fcfba18a47b8ee",
    "first": "There is a picture here. It shows: Four-panel chart showing Pape"
   },
   {
    "h": "1e57b7a8b276f696",
    "first": "Paper VII predicted, via the Cauchy framework, that properties e"
   },
   {
    "h": "2433ee2d9c5a622f",
    "first": "The framework's sharpest disagreement with current practice conc"
   },
   {
    "h": "77fb5a1e7edcc316",
    "first": "7. Limitations These results are proof-of-concept demonstrations"
   },
   {
    "h": "2f156087367c0bb8",
    "first": "The DGM null result is informative. With 75 evolved agents and a"
   },
   {
    "h": "a881cd5e70e8aa2f",
    "first": "A null result is only informative if it states what would overtu"
   },
   {
    "h": "36a3d46a5be5ace8",
    "first": "8. Future Work Two null results and one positive result, with th"
   },
   {
    "h": "ceb0944fcde8142a",
    "first": "9. Conclusion Three experiments. Three abstraction levels. Two n"
   },
   {
    "h": "c5d383008722ad34",
    "first": "References Amodei, D. et al. (2016). Concrete Problems in AI Saf"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "8dc1b8db6452f056",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-x-coupled-coscaling-correction.html": [
   {
    "h": "becb4c08f97f7bf2",
    "first": "The synthesis Research hub All papers PDF TXT CFF DOI GitHub The"
   },
   {
    "h": "1eaac09ce8577755",
    "first": "It does not claim: to solve AI alignment; to provide a deployabl"
   },
   {
    "h": "1dc3caf56068c30c",
    "first": "1. Introduction Recursive self-improvement, a system that modifi"
   },
   {
    "h": "98085920361e13ef",
    "first": "2. Related work and relation to prior framing Cybernetic foundat"
   },
   {
    "h": "ffea881847f19b8e",
    "first": "Recursive error accumulation. That naive recursion amplifies err"
   },
   {
    "h": "385bb1bbafd443b8",
    "first": "Antecedents and near-misses, each with its differential. On the "
   },
   {
    "h": "1a59678632094469",
    "first": "3. The model and its theorems Consider a system undergoing recur"
   },
   {
    "h": "e73b96e626dc4d5c",
    "first": "This is a more honest and more useful statement than the growth-"
   },
   {
    "h": "2f1325c393c1c6ea",
    "first": "Theorem 2 showed the additive fraction cannot diverge. Genuine d"
   },
   {
    "h": "6c413d09991788e8",
    "first": "The single most important limitation named in §8, and by the pap"
   },
   {
    "h": "f6a3557e26849088",
    "first": "4. Predictions A second prediction, free, from the same mechanis"
   },
   {
    "h": "9164829bfc3a2945",
    "first": "5. The discriminating experiments The closed-form predictions ar"
   },
   {
    "h": "0738e6fc6b431fc7",
    "first": "6. Why blinding is not optional The central quantity $D$ is a de"
   },
   {
    "h": "c07812f0c25ff353",
    "first": "7. Falsification conditions The conditions below are stated in a"
   },
   {
    "h": "dc7e3e69e0aa8ebf",
    "first": "8. Limitations The model is first-order, and its assumptions are"
   },
   {
    "h": "d161bbaf33a961b2",
    "first": "From simulation toward frontier systems. The verification harnes"
   },
   {
    "h": "2b054fb51a174215",
    "first": "9. Implications for AI safety If the framework survives its test"
   },
   {
    "h": "b37db69339ccbb56",
    "first": "Relation to the wider programme, one ladder of laws. This paper "
   },
   {
    "h": "523e8d1e0242d56d",
    "first": "10. The ARC/Eden programme, accumulated This is the last paper i"
   },
   {
    "h": "8ab84ab02e4d4149",
    "first": "The complete ledger. Every result in the programme, its first-pu"
   },
   {
    "h": "aa89e0f35bc0e0e0",
    "first": "11. The runnable verification harness The closed-form prediction"
   },
   {
    "h": "700907e3292ab052",
    "first": "12. Conclusion The danger of recursive self-improvement is real,"
   },
   {
    "h": "14bde32aca46d71d",
    "first": "Appendix A. The fraction change of variable The reduction underl"
   },
   {
    "h": "88662cc1191c0296",
    "first": "Appendix B. Parameter settings for the reported run All figures "
   },
   {
    "h": "3ca45ed7c7babba2",
    "first": "Appendix C. Novelty and prior-art ledger This appendix consolida"
   },
   {
    "h": "0b0229d864653214",
    "first": "Appendix D. Plain-language glossary Every technical term in this"
   },
   {
    "h": "e026508b60917f52",
    "first": "References Aharonov, D., & Ben-Or, M. (1997). Fault-tolerant qua"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "14fc14304b4bb85e",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-xi-convergence.html": [
   {
    "h": "1fe46527dae5ad90",
    "first": "The synthesis Research hub All papers PDF TXT CFF DOI GitHub The"
   },
   {
    "h": "4b4129e20ff8161b",
    "first": "Defeat threshold (count). The count is itself a falsifiable clai"
   },
   {
    "h": "f33e464f9bcb2f23",
    "first": "7. What This Means For the ARC/Eden programme. The framework is "
   },
   {
    "h": "8f0d633ac8ebee6b",
    "first": "8. Framework predictions the convergence pattern points to The e"
   },
   {
    "h": "bbbe685da06aaf6c",
    "first": "References Eastwood, M. D. (2024). ARC Principle, Eden Protocol,"
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "39c4e573142c5332",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-xii-public-benchmark-rescoring.html": [
   {
    "h": "e2597d313b551161",
    "first": "Paper XII: Public Benchmark Rescoring Within the ARC Theory: the"
   },
   {
    "h": "8df20b23b9b9fb42",
    "first": "1. Why this is the keystone This is the keystone, because it is "
   },
   {
    "h": "a2d1e3b2e81c40f2",
    "first": "2. The questions, fixed in advance Primary, H1, blinding changes"
   },
   {
    "h": "06056e3bb58b8f8d",
    "first": "3. The design Within-response, randomised, blinded-versus-unblin"
   },
   {
    "h": "281ddf845a857915",
    "first": "4. The benchmark Benchmark. MT-Bench, the established public mul"
   },
   {
    "h": "5870b733246dcf7e",
    "first": "5. Status, honestly The draft registration’s full title is “Does"
   },
   {
    "h": "7e9b3d0c88751a2f",
    "first": "6. What a result would and would not mean A positive result woul"
   },
   {
    "h": "ccefcd781cecd48f",
    "first": "Related papers of the theory The blinding law this study externa"
   },
   {
    "h": "e3e44107c96b7850",
    "first": "How to cite this paper DOI (this paper): 10.17605/OSF.IO/3TZP7 ·"
   },
   {
    "h": "ee746b41beeb59c8",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/paper-xiii-self-acceleration-exponent.html": [
   {
    "h": "f0a2f4bbab85108b",
    "first": "The synthesis Research hub All papers PDF TXT CFF DOI GitHub The"
   },
   {
    "h": "a35919dfe57c4eee",
    "first": "Phi collides with integrated information theory , whose scalar P"
   },
   {
    "h": "71245eaa7fd2a405",
    "first": "3. The clock relation Result 1 (exact). The two frameworks run o"
   },
   {
    "h": "d5ddc805bbcf34c0",
    "first": "4. The correction exponent is a ratio of leverage complements An"
   },
   {
    "h": "e9b8b7cecdbd9fad",
    "first": "S1. Results 2, 5, 6 and 7 apply to class 3 correctors only : tho"
   },
   {
    "h": "c7db2c1ed0c32aa0",
    "first": "5. The self-acceleration exponent The two frameworks still canno"
   },
   {
    "h": "ebe4a8fbbefbd33b",
    "first": "So the honest status of β_L is that it has been measured in one "
   },
   {
    "h": "83fbb063d788e17b",
    "first": "6. The two boundaries, and the gap between them Interpretation r"
   },
   {
    "h": "46914890ac92acc9",
    "first": "Surfaces therefore say: the identity is a registered claim under"
   },
   {
    "h": "e722edbb9a9287de",
    "first": "7. What decides the outcome is a ratio, not a level The criterio"
   },
   {
    "h": "4d4303ba39ffec71",
    "first": "8. The governor, and the cell that has been empty since 1868 The"
   },
   {
    "h": "6dd162b03a79cfea",
    "first": "9. The measurement that costs nothing δ is the slope of cycle du"
   },
   {
    "h": "5f986ffc0e8edc54",
    "first": "10. Falsification criteria F1. A system in which correction demo"
   },
   {
    "h": "5da45c1602e0a769",
    "first": "11. The burden, stated in the direction that costs the author Wh"
   },
   {
    "h": "d019e28d9252a17e",
    "first": "12. What is withdrawn from earlier drafts Narrowed, not withdraw"
   },
   {
    "h": "9dd4babbff60fb5b",
    "first": "13. Prior work, and what is not claimed Not claimed as new. That"
   },
   {
    "h": "e22194623ff49c4d",
    "first": "On the mechanism. That anti-correlated estimates average better "
   },
   {
    "h": "bd7ecce767140061",
    "first": "14. Deposit record (16 August 2026) The five deposit conditions "
   },
   {
    "h": "85b15aaa3757d91b",
    "first": "References Ashby, W. R. (1956). An Introduction to Cybernetics. "
   },
   {
    "h": "03422c283a835c9f",
    "first": "How to cite this paper See /how-to-cite/ for the canonical citat"
   },
   {
    "h": "4b76eb6aae2748c3",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   }
  ],
  "research/papers/the-arc-theory.html": [
   {
    "h": "56e342a5d7834c92",
    "first": "The ARC Theory Intelligence, amplified by recursion, creates; an"
   },
   {
    "h": "5a55d013ce679a93",
    "first": "Abstract Humanity is building minds that will improve themselves"
   },
   {
    "h": "153b7302247e22b9",
    "first": "1. The question A working paper, subject to revision: the decisi"
   },
   {
    "h": "af4adef2f4b21409",
    "first": "2. The claim The ARC Theory holds that the sentence itself is wr"
   },
   {
    "h": "0b80afd7bc0d12c1",
    "first": "3. The three laws The 8 December 2024 manuscript states, as its "
   },
   {
    "h": "de76bc47369e3381",
    "first": "Law I · The ARC Equation. U = I × R α . Intelligence converts re"
   },
   {
    "h": "b6eed59eac893bd6",
    "first": "Two properties keep the law a law rather than a definition. Firs"
   },
   {
    "h": "a4706fc6fec76bbb",
    "first": "4. The organs Four organs carry the theory, each standing on its"
   },
   {
    "h": "5277d9a6707a71f5",
    "first": "4a. The papers of the theory Each claim above lives in a citable"
   },
   {
    "h": "1234572a9d156e1c",
    "first": "5. The priority The dates stand on two independent belts. Print:"
   },
   {
    "h": "c40bfef9667bc201",
    "first": "There is a picture here. It shows: A table of the claim's ancest"
   },
   {
    "h": "e9cae0beabcdc52f",
    "first": "6. The evidence Standing. The three-form structural law recurs a"
   },
   {
    "h": "754a17be047b62d6",
    "first": "7. The trials Everything decisive is drafted, dated and prepared"
   },
   {
    "h": "2bf554fd76f7229e",
    "first": "There is a picture here. It shows: A tree drawn from the estate’"
   },
   {
    "h": "d1fadebbdb8e9f08",
    "first": "8. The name The December document names the ARC Hypothesis one h"
   },
   {
    "h": "236536118edcf7a0",
    "first": "9. What this is not Not proved; nowhere here claimed to be. Not "
   },
   {
    "h": "58f86c52a6781276",
    "first": "10. Verification in place of authority The author of this paper "
   },
   {
    "h": "f4092d65867f76ad",
    "first": "How to cite this paper DOI (this paper): 10.17605/OSF.IO/GW5MX ·"
   },
   {
    "h": "82c8d1cd6cd0f5b7",
    "first": "Declaration of AI-Assisted Human Authorship Standard disclosure."
   },
   {
    "h": "9f1f7c32278a6690",
    "first": "References Asimov, I. (1942). Runaround. Astounding Science Fict"
   },
   {
    "h": "a366d58394d74695",
    "first": "Appendix A. The verified reference dossier Each external source "
   },
   {
    "h": "ed3fd3f19d4b6444",
    "first": "Standing (Foundational (historical), as at 15 August 2026): Wide"
   },
   {
    "h": "925937f1b7b8340b",
    "first": "Version and date: Presented January 25-26, 2015 at AAAI-15 works"
   },
   {
    "h": "d44ee4d4e7110d89",
    "first": "Standing (Leading position, as at 15 August 2026): Leading posit"
   },
   {
    "h": "d9522ae985cf8b13",
    "first": "Standing (Press-reported / trade publication, as at 15 August 20"
   },
   {
    "h": "58f51d0716a0eeec",
    "first": "Peer-review status: preprint not peer-reviewed (arXiv only) Vers"
   },
   {
    "h": "8470b6c66c4617f3",
    "first": "Chalmers (2010), The Singularity: A Philosophical Analysis · off"
   },
   {
    "h": "1376c6091c44f75e",
    "first": "The ARC Theory (the Theory of Artificial Recursive Creation) · s"
   }
  ]
 }
}