Experiment Ledger — what we honestly have, and what each supports

2026-09-20. Per JC: we already have many experiments; the badly-designed or off-claim ones may be set aside as long as it is not dishonest (never hide a contradicting result — just don’t lean a claim on a broken design). This ledger maps each experiment to the claim it supports, its design quality, and where it belongs under the re-centered thesis (Paper 1 = stateless reader + the honest value-migration; Paper 2 = cheap rigor + the revival model + the experiment). Verify the §7.8 letters against the current Compendium before citing.

The map

Exp What it measured Supports Design honesty Verdict → home
AX (§7.8.B) Conduit, naive/control/treatment, k=5, static + blind audit GS ≫ naive (structure); GS ≈ expert prompt on median (saturation, pre-registered) single benchmark + single model; “expert prompt = GS-lite” confound KEEP, Paper 1 as the early-win + the honest saturation. Feature the null.
AX2 Cross-vendor structural (GPT/Gemini/Claude), naive→disciplined layer violations 18-35→0 cross-vendor; dup/complexity down JC’s flaw: tested prompting, not the enforced loop; coverage/strict-oracle un-measurable (swamp) KEEP w/ caveat, Paper 1 (cross-vendor structural). Retire honestly the coverage/strict-oracle sub-metrics (design didn’t support them) — say so.
SX / TX (§7.8.J-K) Two-lever decomposition (navigation vs bounding); 3B truncation the mechanism; capacity-relative seed; sentinel=search, bounding=surface n=2, single benchmark, “mechanism demonstration, not powered” KEEP, both papers — mechanism (P1) + capacity-relative seed (P2). Already labeled honestly.
KX (§7.8.E) Retrieval economics: routed sentinel vs monolith vs no-structure authored structure cheaper and more accurate on structural queries single model; ground truth derived from the structure (own caveat) KEEP, Paper 1 — the durable retrieval/navigation value (survives the frontier).
EX (§7.8.D) Production deploy: 13/13 probes, 1013 asserts, 6/6 SLO, 15 defects the gate caught the governance/gate value (Defended/Executable earned against a live system) single project, demonstration KEEP, Paper 1 (C2 governance) — the gate working is the durable story.
RX (§7.8.G) Independent reproducibility: 104 tests from a fresh GS doc, from nothing derivability / reproducibility (C1) single case KEEP, Paper 1 (C1).
ALX / Loom (§7.8.F) Compiler derived from a formal language spec; 386/386; S_realized 0→1 curve cheap rigor — the extreme instance (formal spec revives) + derivability at the formal tier single artifact; the correction-log is the finding KEEP, Paper 2 flagship instance — this is the strongest single datum for cheap rigor.
CR Capacity-relative on invented Pastura, qwen7b→frontier H1 partial: structural cleanliness only, receding; behavior null at weak rung n=3, GS high-variance at weak, single benchmark, 32B dropped KEEP bounded, both — the receding (P1) + a revival-model datum (P2). Already fully caveated.
MX (§7.8.H) Model cost / tiering boundary tiering economics (cost lever) verify design KEEP as supporting, Paper 2 (the cost axis of the revival model). Verify before featuring.
BX The rubric / seven-property study the rubric as instrument (operationalization) verify KEEP as operationalization, not a headline result.
DX1 Mitikah / 58-dev field study (was: field adoption) weak design + employer-confidentiality RETIRED already — out of all public materials. Honest retirement, documented.
NX (new) N-version revival: Avizienis, single-vs-triple, Sonnet + qwen7b, k=1/2 the revival model’s core prediction: benefit is exposure-gated (λ), not cost-gated — dead on frontier (λ≈0), revives only where the generator errs; N-version surfaces generator uncertainty (a lucky single gen hides variance the triple exposes) k small, single practice, one weak + one frontier model, problems within model competence (need harder for λ>0) KEEP, Paper 2 — the first measured revival datum + a novel angle; a mechanism demonstration, not powered. experiments/nx/.
DX2 Two-arm human study (designed) would be: human validation designed, not run Candidate for the human-validation the reviewers asked for — Paper 2, if run.

The honest pruning rule (what “ignore” means here)

  • Retire a sub-metric, not a result: where a design could not support a metric (AX2 coverage/strict-oracle; the “GS > expert on median” reading), we drop that claim and say the design didn’t support it — we do not delete the experiment or hide that it tied/lost.
  • Never suppress a contradicting outcome: CR’s mixed/negative result stays, featured. The saturation null stays, featured. Reporting nulls in the same voice as positives is the credibility move (and the reviewers asked for it).
  • Off-claim ≠ deleted: experiments that don’t serve the new thesis (parts of MX/BX) become supporting/appendix, not headline — but remain in the replication package.

What the ledger says we still owe (the experiments to run)

Paper 1 is fully evidenced today (AX, KX, EX, RX + the CR/AX2 receding = the value-migration story). Paper 2 needs:

  1. The revival experiment — 2-3 dead-on-cost practices (formal property spec, N-version, PBR, mutation) shown to beat baseline under AI execution, and which do not, the model predicting both. Loom is one instance; NX (N-version) is the first run — result: exposure-gated (revives only where the generator errs; dead when λ≈0), plus a novel uncertainty-surfacing angle. Still owed: harder problems (λ>0 even on the frontier) and a 2nd/3rd practice to generalize beyond N-version.
  2. The model-validation — does predicted revival correlate with measured benefit across (practice × project) cells? Bootstrap from the ledger above (each row is a coarse datum); prospective validation via chronicle-ledger.
  3. Human validation (DX2, redesigned) — the independent-rater/control the reviewers asked for.

Status

Inventory drafted from memory of the §7.8 series; verify each letter + design detail against the current Compendium before any of this enters the paper. No claim here is load-bearing until checked against the primary record.