{
 "$schema": "eden-arc-release-manifest-v1",
 "principle": "The single canon object the consolidation phase renders from: theory version, component map, model families, symbol scope, boundary treatment, statuses, counts and the permitted answer capsules. POINTERS to the governing registers, never duplicates; a value that exists in a register is referenced, not copied (one fact, one home).",
 "effective_date": "2026-08-27",
 "status": "stage-1 scaffold; sections fill from the named registers via the generator; hand-editing values that have register homes is a defect",
 "theory": {
  "name": "The ARC Theory (the Theory of Artificial Recursive Creation)",
  "version_register": "research/data/claim-status.json",
  "components_register": "research/data/spine/papers/",
  "severability": "HRIH separable per CS-P-008"
 },
 "law_i": {
  "notation": "research/data/spine/notation.json#equations[0]",
  "model_families": "research/data/spine/notation.json#equations[0].model_families",
  "book_r_squared_status": "three-layer: the printed wager (2 January 2026) -> the conditional law that can produce it (alpha_crit = 1/(1-gamma) at gamma = 1/2) -> the registered measurements that decide; never the universal measured exponent"
 },
 "law_ii": {
  "notation": "research/data/spine/notation.json",
  "status": "minimal-model result (Paper X); empirically undecided",
  "decided_by": "per the decisive-experiment map: threshold located by study-f, correction exponent by study-r; construct bridge open"
 },
 "law_iii": {
  "form": "alpha_crit = 1/(1-gamma), conditional",
  "boundary": "equality is not automatically safe (canonical wording in the governing notices); below/at/above boundary distinguished on every surface",
  "gamma_status": "one half remains an undefended assumption; decided_by study-eclipse"
 },
 "counts": "research/data/publication-census.json",
 "corrections": "research/data/corrections.json",
 "registrations": "research/data/registered-programme.json",
 "capsules": {
  "theory_capsule_40_80_words": "The ARC Theory proposes that recursive, self-amplifying systems obey measurable scaling laws: capability grows with recursive depth, stability requires correction to out-scale drift, and a conditional ceiling follows. Three laws are proposed, each with printed kill conditions and drafted deciding tests. Stated, dated and unproven: the decisive experiments have not run, and the record is built so anyone can check.",
  "shareability_hook_candidate": "The field measures how AI capability scales. ARC asks whether correction has a scaling law too. (Hero use operator-held.)",
  "public_call": "Run the test that could kill it.",
  "terminal_category_line": "It concerns a potentially terminal category of invention: systems that may increasingly participate in designing their successors.",
  "solution_class_line": "ARC proposes an architectural class of solution that should be tested against external-control and post-training alternatives.",
  "rebuild_line": "If the persistence and correction-scaling predictions are confirmed, post-training safety layers may prove insufficient, implying substantial architectural redesign.",
  "historical_comparison_constraint": "The comparison is methodological: foundational claims are normally stated before their decisive tests. It is not a comparison of present evidential standing.",
  "conduct_record_rule": "The conduct record (retractions, blinding, kill conditions) is evidence about the author and the process, never evidence for the theory."
 }
}