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mrwulf
ddb9532fbd
THE DEFECT, as found. GPT-5.6 showed the textual classifier could report
PROVEN for a name Lean resolves to an axiom: a definition appearing only
inside a `/- -/` comment was read as real. Repairing that exposed something
larger and already live. Aeneas wraps long declarations:
axiom
curve25519_dalek.edwards.EdwardsPoint.Insts.CoreOpsArithNegEdwardsPoint.neg
The old scanner required keyword and name on one physical line, so it matched
nothing there and SILENTLY DROPPED the declaration — no MODEL row, no PROVEN
row, no failure. Nine to ten externals per fork had no row at all, and the
tier-A/B `neg` was missing from every committed table while the trust
documents claimed that class was machine-checked. Four pinned tables were
wrong, in four repositories, with the buttons green over them. No attacker
was required; Aeneas's own formatting did it.
The lesson is not "write a better regex". The scanner was FAIL-OPEN: input it
could not parse produced silence instead of a stop. A gate that drops what it
cannot read is worse than no gate, because the green covers a gap that is
invisible in the diff.
THE REPAIR, in three layers that each do only what they honestly can.
· DISCOVERY stays textual, because the template cannot be imported — it
declares the same names as the model and they would clash. It now strips
NESTED `/- -/` blocks, reads a name that wraps to a later line, tracks
namespace/section/end, and FAILS CLOSED: an unparseable keyword exits 2
naming file and line.
· Phase 0d keeps the cheap pre-compile comparison against the table.
· Phase 2d is new and authoritative. After compilation it generates a temp
Lean driver (the Phase 2b idiom, so no permanent module and no manifest
churn), imports every non-template gen module, and asks env.find? what
each external IS: kind and originating module. Model module -> MODEL;
non-axiom in a generated module -> PROVEN; an axiom outside the model, or
a name that does not resolve, is a failure. Lean's verdict must equal the
committed table's, and the answer count must equal the question count so
a truncated resolver cannot pass.
THE TABLES were regenerated and verified three ways before being committed:
an independently written second scanner agreed on 228/228 rows across the
four forks; all 47 changed rows carry file:line evidence; and the PROVEN row
was put to Lean directly — kind = def, module = CurveField.Funs.
dalek 54 -> 64 rows anza 42 -> 51 risc0 48 -> 57 betrusted 47 -> 56
Also corrected: `from_residual` was recorded EXTRA in every fork; the
template does demand it, so it is MODEL. anza carried a spurious `hash|EXTRA`
row from a mis-parse.
NEGATIVE-TESTED. With Phase 0d neutered so Phase 2d was the gate under test,
a PROVEN row edited to MODEL produces:
SEMANTIC DRIFT: ...neg — table says MODEL, Lean says PROVEN
selftest-correspondence.sh grew 4 cases -> 7: GPT's comment counterexample,
the wrapped declaration that was actually live, and a fail-closed check.
WHAT THIS DOES NOT CLOSE. Phase 2d resolves names in the environment built
from gen/. It establishes what a name IS — assumption or proof, and where —
not that the extraction faithfully represents the Rust. That remains the
Charon/Aeneas trust assumption and no gate here can close it.
Certified: both buttons, all four forks, purged trees. 8/8 green, with
62/48/53/52 externals resolved by Lean and every verdict matching.
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|---|---|---|
| .. | ||
| gen | ||
| Proofs | ||
| AUDIT-MANIFEST.txt | ||
| check-scalar.sh | ||
| check.sh | ||
| CurveField.llbc | ||
| CurveSig.llbc | ||
| extract.sh | ||
| GEN-MODEL.sha256 | ||
| HARNESS.sha256 | ||
| inventory-allowlist-scalar.txt | ||
| inventory-allowlist.txt | ||
| inventory_gate.sh | ||
| lean-guard | ||
| model-correspondence.py | ||
| MODEL-CORRESPONDENCE.txt | ||
| selftest-auditonly.sh | ||
| selftest-axgate.sh | ||
| selftest-correspondence.sh | ||
| selftest-harness.sh | ||
| selftest-inventory.sh | ||
| selftest-shapes.sh | ||
| selftest-statements.sh | ||
| selftest-tiers.sh | ||