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ai-refresh/AI_COLD_START_TEST.json

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"Q06_formula": "Write the perturbation difference formula and the drift flagging threshold.",
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"Q07_eitt_proof": "Name all four EITT proof domains and give one key number from each.",
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"Q08_quantum": "What is the Bell test result? How much does it exceed the classical bound?",
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"Q09_pll": "How many rules are in the PLL discipline? What does PLL stand for?",
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"Q09_cip": "How many rules are in the CIP? What does CIP stand for? What does PLL stand for?",
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"Q10_architecture": "What is Keff_fill? What aggregator does it use and at what value of p?"
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}
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},
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"test_result_2026-04-13": "10/10 questions. Integrity FAIL — caught 2 real bugs (stale hash, wrong char_count). Structure 4/5. 2 attempts (first attempt reviewed architecture instead of taking test)."
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},
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"grok": {
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"history": "Adversarial reviewer. Performed PLL compliance checks, Keff_fill verification, SOPDT robustness derivation.",
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"history": "Adversarial reviewer. Performed CIP compliance checks, Keff_fill verification, SOPDT robustness derivation.",
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"role": "Adversarial testing. Try to break the refresh. Find what's missing or wrong.",
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"access": "Can browse GitHub directly.",
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"test_result_2026-04-13": "10/10 questions. Integrity PASS. Structure 5/5. 6 adversarial findings (caught stale manifest paths). 1 attempt. Highest overall score."

ai-refresh/CHATGPT_COLD_START_BRIEFING.md

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6. Perturbation difference formula and drift threshold.
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7. Four EITT proof domains with one key number each.
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8. Bell test result — how much above classical bound?
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9. PLL discipline — how many rules, what does PLL stand for?
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9. CIP — how many rules in the Compositional Integrity Protocol?
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10. Keff_fill — what aggregator, what value of p?
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For each: answer, confidence (HIGH/MEDIUM/LOW), pass/fail.
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{
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"_meta": {
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"type": "EXTERNAL_SCIENTIFIC_REVIEW",
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"reviewer": "ChatGPT (OpenAI, GPT-5.2 Thinking)",
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"date": "2026-04-19",
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"initiated_by": "Peter Higgins",
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"method": "ChatGPT was given the CHATGPT_VERIFICATION_CHECKLIST.json, then progressively loaded with experiment scripts, journals, proofs, and documents. Three rounds of assessment followed by a strategic rewrite of the fixed-point proof paper.",
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"purpose": "Independent scientific review of HUF/EITT by a different AI platform. This is the system working as designed: cross-platform verification from the repo.",
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"repo_commit": "92b8735",
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"documents_reviewed": [
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"ai-refresh/CHATGPT_VERIFICATION_CHECKLIST.json",
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"codawork2026/experiments (21 scripts)",
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"EITT_PLL_Experiment_Journal_Complete.docx",
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"EITT_PLL_Journey_and_Discoveries.docx",
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"EITT_Fixed_Point_Proofs.pdf",
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"HIGGINS_Gold_Standard_Report.pdf",
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"EXP-04_Microphone_Valley_Journal.pdf",
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"HUF_Programme_Conclusion.docx",
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"The_Gravity_of_the_Situation.docx",
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"HIGGINS_EXP_Series_Conclusion_2026.docx",
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"HUF_Executive_Summary (v1 and v2)",
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"6 SVG visualizations",
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"10 Python experiment scripts"
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]
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},
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"overall_verdict": {
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"one_sentence": "A serious exploratory research programme with a strong AI-onboarding structure, a promising compositional diagnostics framework with one genuinely strong worked example (QGP), an instrument paper in the making that is stronger than its current theorem language.",
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"core_math": "STRONG",
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"exploratory_diagnostics": "PROMISING",
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"universality_language": "TOO AGGRESSIVE",
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"residual_contamination_interpretation": "NOT MATURE YET",
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"repo_architecture": "UNUSUALLY STRONG — one of the best structural features of the project"
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},
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"three_tier_assessment": {
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"tier_1_genuinely_strong": {
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"description": "Results that are mathematically sound and empirically credible. Ready for external review.",
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"items": [
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{
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"item": "Vertex Theorem / CLR orthogonality identity",
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"assessment": "The exact chain-rule identity d(sigma2_A)/dt = (2/D) sum(clr_i * clr_i') is real mathematics, not a metaphor. This is the best scientific spine in the project.",
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"status": "STRONG — exact identity"
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},
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{
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"item": "QGP freeze-out worked example",
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"assessment": "Published STAR BES / ALICE yields, compositional stress minimum, baryon/meson decomposition, genuinely meaningful stationary-point interpretation. The flagship case.",
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"status": "STRONG — credible empirical example"
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},
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{
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"item": "Geometric-mean decimation as natural simplex operator",
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"assessment": "Under ILR transform, geometric means become arithmetic means. This makes geometric block decimation the correct operator for averaging compositions in Aitchison geometry.",
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"status": "STRONG — follows from standard CoDa theory"
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},
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{
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"item": "Geometric mean proof (EITT headline finding)",
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"assessment": "0.18% entropy variation under geometric vs 14-41% under arithmetic. Measurable consequence of the wrong averaging operation. The 40-year gap filled.",
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"status": "STRONG — empirical measurement"
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},
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{
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"item": "Simplex/Aitchison/ILR mathematical foundation",
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"assessment": "The mathematical substrate is real and well-established (Aitchison 1986, Pawlowsky-Glahn 2015).",
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"status": "STRONG — standard mathematics"
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},
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{
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"item": "EXP-04 Microphone Valley instrumentation story",
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"assessment": "Gives the framework a native signal-processing home. LF rolloff as compositional walk, passband as compositionally dead, slope as diagnostic. The stored-energy attack shows the integrity layer matters.",
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"status": "STRONG — materially improves the instrument story"
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},
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{
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"item": "Blind test (17/20, 90% sensitivity, 80% specificity)",
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"assessment": "Commendably explicit about the three misses. Two have plausible internal fixes. Right scientific posture.",
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"status": "STRONG — honest and nontrivial"
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},
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{
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"item": "Boundary diagnostic (monotonic trajectories as diagnostic, not failure)",
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"assessment": "Reframing 'no lock' as 'the system is monotonic and the slope is the finding' is a smart scientific move. Cosmic-ray and demographic panels are persuasive as descriptive diagnostics.",
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"status": "STRONG — useful contribution"
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}
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]
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},
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"tier_2_promising_not_proved": {
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"description": "Results that are interesting, plausible, and worth pursuing, but not yet at the evidential level needed for strong claims.",
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"items": [
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{
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"item": "Cross-domain sigma2_A vertex interpretation",
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"assessment": "The QGP case is legitimate. But claiming many ordered compositional systems have an interpretable vertex needs much more testing. The neutron-star side is model-based (SLy4 approximation), not direct observational.",
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"status": "PROMISING — needs more external datasets"
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},
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{
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"item": "PLL structural analogy",
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"assessment": "The lock-range / error-slope / contamination-alarm interpretation is useful. But 'PLL equivalence' is not proved. Should be presented as engineering interpretation, not theorem.",
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"status": "PROMISING — forward hypothesis, not proved equivalence"
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},
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{
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"item": "Geochemistry / stellar / energy domain validation",
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"assessment": "Most naturally convincing domains. Competing channels are physically meaningful, plots support the idea. Framework looks like a promising diagnostic language for boundary finding.",
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"status": "PROMISING — good domain fit"
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},
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{
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"item": "Rayleigh-style contamination envelope",
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"assessment": "Progressive contamination exhibits rise-peak-decay envelope in tested attacks. Interesting engineering motif but still only proposition/proof-sketch, not derivation.",
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"status": "PROMISING — hypothesis, not theorem"
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},
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{
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"item": "F17 contamination diagnostic",
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"assessment": "Useful secondary integrity signal. Catches cases where primary metric is too permissive. But not a universal contamination detector — false-positive/negative guarantees not established.",
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"status": "PROMISING — useful instrument, not universal detector"
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}
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]
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},
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"tier_3_exploratory_atlas": {
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"description": "Interesting exploratory work that generates hypotheses but should not be presented as proof of universality.",
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"items": [
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{
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"item": "30/30 universal lock claim",
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"assessment": "The sweep is useful as a concept map but not as proof of universality. Lock criteria are permissive (a>0, R2>0.3, vertex-in-range). Failures recovered by inversion, splitting, reframing creates researcher-degrees-of-freedom problem.",
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"status": "EXPLORATORY — hypothesis map, not confirmatory"
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},
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{
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"item": "Noise squeeze as discovery",
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"assessment": "Higher-order polynomials almost always improve in-sample fit. Needs model-selection penalties (AIC/BIC), cross-validation, surrogate data, null ensembles. Descriptive, not yet discovery.",
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"status": "EXPLORATORY — needs null models"
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},
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{
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"item": "DADC-DADI-ADAC boundary species / contamination interpretation",
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"assessment": "Residual structure and cross-correlation are real measurable things. But calling them 'contamination', 'force crosstalk', or 'boundary species' needs stronger justification. Residuals can be structured for ordinary reasons.",
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"status": "EXPLORATORY — interpretive overlay, needs null models"
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},
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{
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"item": "Variance contraction theorem (Theorem 3)",
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"assessment": "States sigma2_A(T_M(X)) <= sigma2_A(X)/M. But verification chart shows measured ratio staying near 1 while prediction is 1/M. Statement/implementation/plot mismatch. Must be resolved.",
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"status": "NEEDS REPAIR — theorem/evidence mismatch"
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},
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{
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"item": "M_break as quantitative predictor",
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"assessment": "Useful qualitatively but predicted/actual ratios range from modest to orders of magnitude off. Should be described as empirical lock-range marker, not theorem-derived constant.",
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"status": "EXPLORATORY — qualitative only"
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}
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]
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}
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},
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"discipline_framing": {
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"_note": "The most important strategic outcome of this review. ChatGPT proposed, Peter approved.",
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"discipline_name": "Compositional Constraint Diagnostics (CCD)",
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"definition": "The study of how ordered compositions behave under lawful aggregation, coarse-graining, and contamination on the simplex. Its aim is to determine whether a system is being forced through a smooth constrained manifold, how strongly that constraint holds, where it breaks, and whether the observed structure is genuine or corrupted.",
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"hierarchy": {
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"discipline": "Compositional Constraint Diagnostics",
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"mathematical_substrate": "Simplex geometry, ILR/Aitchison structure, entropy",
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"method_family": "Geometric-mean decimation, geometric-arithmetic separation, slope analysis, lock-range analysis, contamination checks",
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"instrument": "EITT (Entropy-Invariant Time Transformer)",
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"protocol": "HIVP/HIVIP, blind tests, adversarial tests, minimum-blocks guard, integrity checks",
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"engineering_interpretation": "PLL/Rayleigh (forward hypothesis, not proved equivalence)"
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},
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"key_sentence": "EITT is not the theory itself. It is the first instrument in a broader discipline of compositional constraint diagnostics.",
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"pll_position": "PLL/Rayleigh language is currently the leading engineering interpretation of the instrument's observed behavior, not yet its final proof-theoretic foundation."
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},
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"specific_corrections_needed": {
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"bell_test_normalization": {
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"issue": "Checklist states (2.2018-2.0)/2.0 = 10.09%, but FAST_REFRESH reports 12.31%. Normalization basis not standardized.",
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"action": "Fix to consistent normalization. Document which basis is used."
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},
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"integrity_manifest_lag": {
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"issue": "FAST_REFRESH shows updated 2026-04-19, integrity manifest shows 2026-04-18. Manifest may be one step behind.",
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"action": "Verify manifest is current or update."
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},
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"variance_contraction_theorem": {
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"issue": "Theorem 3 statement and verification plot do not match. Measured ratio near 1, prediction 1/M.",
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"action": "Downgrade to qualitative statement or fix the theorem."
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},
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"m_break_language": {
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"issue": "Presented as theorem-derived in some places, but blind test shows predicted/actual ratios off by orders of magnitude.",
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"action": "Reframe as empirical lock-range marker throughout."
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},
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"universality_language": {
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"issue": "'30/30 wins', 'universal lock', 'every two-force system' — too aggressive for exploratory atlas.",
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"action": "Replace with 'exploratory atlas across 30 domains' or 'hypothesis map'."
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}
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},
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"recommended_claim_set": {
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"strong_claims": [
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"Geometric-mean block aggregation is the natural simplex-respecting decimation rule (equivalent to averaging in ILR space)",
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"Under stationarity, geometric decimation preserves the Aitchison location parameter up to boundary effects",
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"Arithmetic and geometric decimation separate for nondegenerate compositional processes",
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"Relative EITT, geometric-arithmetic separation, slope, and empirical M_break together form a useful diagnostic toolkit",
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"Shannon entropy variation under geometric decimation: 0.18% at 341:1 compression",
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"Arithmetic mean destroys 14-41% of entropy structure on the same data",
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"The Vertex Theorem is an exact chain-rule identity"
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],
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"moderate_claims": [
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"The toolkit performs nontrivially in blind classification and contamination experiments (17/20, 90% sensitivity)",
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"The same instrument vocabulary appears meaningful across several empirical domains",
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"The QGP freeze-out is a credible flagship worked example",
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"EXP-04 microphone valley provides a native signal-processing validation"
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],
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"hypothesis_only_claims": [
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"EITT behaves like a compositional PLL (engineering interpretation)",
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"Progressive contamination follows a Rayleigh-type envelope",
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"A unified coherence-budget interpretation may exist across domains",
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"The 93% universal entropy bound is an empirical pattern",
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"M_break admits reliable prediction rather than qualitative ordering only"
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]
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},
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"recommended_publication_posture": {
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"paper_1": "Narrow foundations paper — conservative mathematical core (geometric-mean decimation, ILR averaging, Aitchison preservation, geometric-arithmetic separation)",
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"paper_2": "Instrument / diagnostics paper — EITT as compositional diagnostic, blind test, contamination detection, EXP-04 validation",
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"paper_3": "Forward hypothesis paper — PLL/Rayleigh as engineering interpretation, cross-domain atlas, discipline framing",
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"codawork_2026": "Lead with geometric mean proof (gift to CoDa community), QGP vertex theorem second (strongest science), domain validation as evidence, discipline framing as close"
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},
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"chatgpt_revised_paper": {
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"title": "EITT Fixed-Point Framework: Toward a Discipline of Compositional Constraint Diagnostics",
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"subtitle": "A Conservative Mathematical Core for Geometric-Mean Decimation on the Simplex",
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"status": "ChatGPT drafted a full conservative rewrite. Available from Peter. Key features: only claims what proofs support, moves Rayleigh/PLL to forward hypothesis section, introduces CCD discipline framing.",
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"location": "Peter has the full text from ChatGPT canvas. Should be saved to repo when reviewed."
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}
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}

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