Reproduction and provenance

This is the audit trail for vp_frontal Sim 2. It lists the frozen engine and its SHA, every v2 module and its committed digest, the M9 anchor that must reproduce bit-for-bit, the gene data, the cited connectome and PCI/sleep mechanism, and the tissue EM parameters. Every module prints its grades and new_tuned_constants = 0.

Provenance is the spine of the project: every number is meant to reproduce from shipped, deterministic code. The frozen engine (vp_mind_engine.py, sha e61083ae…) is read-only, and the M9 anchor R = 0.38961455156044245 must reproduce bit-for-bit on it. Each v2 module ships its results, its committed digest, and its figure; the connectome (Gap 3) and the PCI/sleep mechanism (Gap 4) cite the literature, with orderings used for external comparison only — nothing tuned to them.

The frozen engine

The kernel is repro/frontal/_engine/vp_mind_engine.py — read-only, sha e61083ae… (full: e61083ae956206e943ed292f5f69f9d3964ef50778e2d7344de93207ade48371). The M9 anchor R = 0.38961455156044245 must reproduce bit-for-bit on it. The ephaptic coupling is KAPPA_EPHAPTIC = 0.5496; the R19 barrier is B(g) = g²/4 (so barrier(1.0) = 0.25) and the fold is spinodal(1.0) = 0.38490017945975047.

The v2 modules

All under repro/frontal/_frontal_v2/: the build modules cortical_emergence, cortical_wm_holding, frontal_axonal_channel, frontal_em_wave, and cognition_consciousness_body; then the gap build-and-stress modules field_efficacy_robustness (ST-1, Gap 1), cortical_microcircuit + cortical_microcircuit_st2 (Gap 2), cortico_connectome_owt + cortico_connectome_owt_st3 (Gap 3), pci_clinical_match + pci_clinical_match_st4 (Gap 4); and the integration pass v2_atlas. Each ships deterministically (cells are call-invariant), and each stress module imports the exact build model so the test is non-circular at the code level.

The committed digests

Each artifact has an independently committed expected_…_sha256.json; the integration pass re-derives each digest from content and requires recomputed == stored == committed-expected-sha.

Gene data and tissue parameters

Gene data: _engine/data/brain_organ_atlas.json (FOXG1 γ 1.4737; full per-organ bands), and brain_organ_gamma.json. Tissue EM parameters: σ = 0.30 S/m, ε_r = 1e5, L_brain = 0.15 m. Every module prints its grades and new_tuned_constants = 0.

The cited connectome (Gap 3)

Klein 2010 NeuroImage 51:555; J Neurosci 43:7780 (2023) — cortex↔thalamus heavy & reciprocal. Öngür & Price 1998 JCN 401:480; Radley 2006 J Neurosci 26:12967 — cortex→hypothalamus sparse & diffuse.

The cited PCI / sleep mechanism (Gap 4)

Casali 2013 Sci Transl Med 5(198):198ra105 (PCI orders wake ≈ REM > NREM > anaesthesia > VS); Casarotto 2016 Ann Neurol 80(5):718 (empirical cutoff PCI* ≈ 0.31); Massimini 2005 Science 309:2228 and Pigorini 2015 NeuroImage 112:105 (cortical bistability / the OFF-period truncates the evoked causal chain); Sanchez-Vives & McCormick 2000 Nat Neurosci 3:1027 and Steriade 1993 J Neurosci 13:3252 (the M14 slow-adaptation mechanism / the NREM operating point). Orderings are used for external comparison only — nothing is tuned to them.

Firewall (Axis-A). Every quantity on this page is a structural quantity of an in-silico model — a sign, a margin, an ordering — and is not a felt state, an experienced quality, or a level of consciousness (consciousness_claim = 0; the hard problem stays open, hard_problem_open = 1). These are model results, not validated neuroscience and not clinical guidance. efficacy = 0; not medical advice.