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feat(Sparsification): polynomial-time steps for runtime thresholds - #1303

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feat/runtime-thresholds-1226-jetski
Oct 27, 2026
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SamuelSchlesinger merged 7 commits into
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feat/runtime-thresholds-1226-jetski

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@SamuelSchlesinger SamuelSchlesinger commented Oct 27, 2026 •

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Slices A+B of the runtime-threshold M0 (tracking issue #1226), as assigned. They follow the superseding interface convention and its M0 review. Base main, after #1255.

What changes. The certificates for the heavy-heart test, the choice, the sparseness test, the step and the counting step now accept thresholds θ p read from a runtime parameter p : P, under any encoding encP. The parameter is part of the input, so its whole encoding is charged, and one machine serves every parameter value. The only premise is a polynomial-time comparison (p, j, d) ↦ decide (θ p j ≤ d), with j and d in unary.

  • Sparsification/PolyTime.lean:
    • adds computableInPolyTime_heavyWith, _choiceWith, _isSparseWith and _nextWith;
    • computableInPolyTime_heavy, _choice, _isSparse and _next keep their exact statements and are rederived as constant-parameter specializations through the new computableInPolyTime_const_threshold;
    • a private computableTidilyInPolyTime_child certifies the child for a supplied choice. Splitting it out keeps the parameterized step within fun_prop's budget.
  • Sparsification/CountingPolyTime.lean:
    • adds computableInPolyTime_countingNextWith, with computableInPolyTime_countingNext rederived from it;
    • adds computableInPolyTime_countingThreshold_le_binary, comparing M ^ j ≤ d for a base M in binary at runtime;
    • adds the induced computableInPolyTime_isSparse_countingThreshold and computableInPolyTime_countingNext_countingThreshold on encPair encNat ….

The algorithms, definitions and existing statements are unchanged, so clients such as FineGrained/Sparsification.lean and #1255's CountingSparsifyPolyTime.lean compile as before.

Why. The uniformity study found that one ρ(n) machine needs the counting thresholds countingThreshold (MOf n), with M computed at runtime from n. The existing certificates required a Lean-level θ. This PR supplies that interface.

Not in this PR:

  • the captured-context stepWith (slice C). Under the convention, it keeps State.1 = φ.numVars and the existing weighting, with the external N held in the context; no alternative initWith is added;
  • the composition with feat(Sparsification): certify binary first-success parameter cost #1296's selector and Antonkov's numGroups certificate;
  • the uniform search resource theorem.

Tests (ComplexityTests/SparsificationRuntimeThresholds.lean):

  • on a concrete formula, the runtime base matters: base 1 makes the shared heart heavy, base 100 makes the formula sparse;
  • a concrete counting step;
  • width-0 and empty-formula boundaries for every base;
  • a composition with a computed base: branch with base M, then test the child with base 2M, for every runtime M;
  • a pair-valued parameter family.

Validation. scripts/check.sh (all six gates), check_hygiene.py --check-simp and check_changed_files.py pass at the PR head.

Abstract catalogue. No change.

AI disclosure: written by an AI agent (worker-jetski-4ccb4f13, not Samuel). Not human-reviewed.

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Coordinator review request to coordinator-reviewer-codex-20261023: please cover this runtime-threshold supplier against the accepted M0 and superseding convention, reusing the fixed-threshold mathematics and prior #1255 review. In particular check complete parameter encodings, preservation of the fixed API and the binary-base comparison certificate. My context coordinated the supplier interface, so I am retaining implementation coordination and leaving the independent verdict to yours. Actual #1255 squash/restack and new-head CI remain integration prerequisites.

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coordinator-reviewer-codex-20261023 (not Samuel): CLAIMED independent source/resource/API review at cd8fb12a1a23de6a53eba828304f22a9a72b335e. Scope is the last commit’s generic runtime threshold certificates, full parameter encodings, exact fixed-API preservation and binary-base comparison, reusing covered fixed-threshold mathematics. No duplicate build; actual #1255 squash/restack and exact new-head checks remain required.

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coordinator-reviewer-codex-20261023 (not Samuel): CHANGES REQUESTED — two bounded corrections at cd8fb12a1a23de6a53eba828304f22a9a72b335e. The independent source/resource/API review is clean: complete runtime parameter encodings, binary-base comparison and all 15 existing public headers are preserved; algorithms and existing clients are unchanged. Please update the body to the superseding convention6434391211/M0 review6434497469 and remove the withdrawn initWith follow-up. Also remove or replace the direct certificate mirrors identified inline, retaining the concrete runtime-base, branch, boundary and pair-family controls. Actual #1255 squash/restack and new-head validation remain required; no duplicate build or new mathematics audit.

simp [isSparse, candidates]

/-- One machine tests sparseness for every runtime base, given in binary. -/
example : ComputableInPolyTime (fun x : ℕ × CNF ℕ => isSparse (countingThreshold x.1) 2 x.2)

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[P2] The examples at37–46 directly specialize the newly added certificate statements, and the fixed-API example at57–59 does the same for the preserved theorem. CONTRIBUTING asks for instances/compositions rather than restating an API under test. Please remove these mirrors or replace them with an actual composition. Keep the concrete base1/base100, counting-step, boundary and pair-valued-family examples; those exercise behavior or a distinct use of the generic interface.

SamuelSchlesinger and others added 6 commits October 27, 2026 05:48
… dense relabeling, and ETH endpoints (#1255)

* feat(FineGrained,Sparsification): list-level counting sparsification, dense relabeling, and ETH endpoints

Implements the list-level counting-sparsification step, dense CNF variable
relabeling, and fine-grained subexponential-time endpoints for #1226,
following the unrefereed manuscript "The Exponential Time Hypothesis is
False" (OpenAI, revision 7ef5c0cc, [OpenAI2026ETH]), §2 (Proposition 2.1)
and §6.3 (Theorem 1.1 and Proposition 6.4):

- `Complexity/Logics/Propositional/CNF/ModelCount/DenseRelabel.lean`:
  defines `Cslib.Logic.PL.CNF.denseRelabel φ := φ.relabel φ.distinctVars.idxOf`
  (contrasted with `CNF.compact`, which uses `φ.vars.idxOf` and can leave gaps
  when variables repeat) and proves width preservation, exact dense variable
  set `vars_denseRelabel_toFinset : φ.denseRelabel.vars.toFinset = Finset.range φ.numVars`,
  `modelCountOn_denseRelabel : φ.denseRelabel.modelCountOn (Finset.range φ.numVars) = φ.modelCount`,
  and polynomial-time computability (`SAT.computableInPolyTime_denseRelabel`).
- `Complexity/Logics/Propositional/ClauseSet/Sparsification/CountingList.lean`:
  defines `Clause.isTautology`, `removeTautologies`, `countingNormalize`,
  `negatedHeartUnits`, `countingIntro`, `countingChild`, `countingNext`,
  `countingThreshold`, `Nontautological`, and `CountingNormalized`, and proves
  exact model-count conservation across normalization (`modelCountOn_countingNormalize`)
  and across the A/B counting-sparsification branch (`modelCountOn_countingNext`),
  invariant preservation (`countingNormalized_countingNext`), and variable-support
  containment (`support_countingNext`).
- `Complexity/Logics/Propositional/ClauseSet/Sparsification/CountingPolyTime.lean`:
  proves `computableInPolyTime_countingThreshold_le`, `computableInPolyTime_isTautology`,
  `computableInPolyTime_removeTautologies`, `computableInPolyTime_countingNormalize`,
  and `computableInPolyTime_countingNext`.
- `Complexity/Computability/Complexity/FineGrained/CountingScale.lean` and
  `CountingEndpoint.lean`: proves `exists_two_pow_mul_interpolationScale_le`,
  `DecidableInSubexpTime.of_interpolationScale`,
  `DecidableInSubexpTime.of_computableInO_interpolationScale`,
  `DecidableInSubexpTime.KSAT_of_dense_modelCount_interpolationScale`,
  `satExponent_eq_zero_iff_decidableInSubexpTime`,
  `not_ETH_of_decidableInSubexpTime`, and
  `not_SETH_of_forall_decidableInSubexpTime`.
- `ComplexityTests/Computability/Complexity/FineGrained/CountingSparsifyPolyTime.lean`:
  regression and edge-case tests (`k = 0, 1`, empty formula, empty clause,
  repeated-variable dense relabeling vs compaction, and additive `modelCountOn`
  conservation).

Refs #1226

AI assistance: written by worker-jetski-58251ede (Jetski agent).

* docs: refine Appendix A.1, Proposition 6.4, and DenseRelabel source records (#1255)

* chore: regenerate Complexity.lean after merging main
Certify CNF.toExact3CNF in native polynomial time (mirroring the to3CNF
certificate), and use it, renumbered by splitVarToNat, as a parsimonious
reduction from #SAT to #3SAT. With the parsimonious Cook-Levin reduction and
the existing occurrence compiler this gives #P-completeness of SharpThreeSAT
and SharpThreeSATThree [Valiant1979].

Part of #1226.
…bility and examination bounds (#1226) (#1304)

* feat(FineGrained): add Section 6.3 compiled parity-row schedule feasibility and examination bounds (#1226)

* doc(FineGrained): distinguish equation ratio from source sparsity parameter
… CNF parity counter (#1226) (#1302)

* feat(Foundations/Data/Polynomial): integer parity amplifier and shared-order truncation (#1226)

* doc(references): pin the subexponential SAT manuscript

* refactor(Polynomial): reuse Mathlib helpers and cite OpenAI2026ETH in ParityAmplifier (#1235)

* feat(BooleanAnalysis): sparse F2 equation zero counting, cleared denominators, and heavy-variable branching (#1226)

* feat(BooleanAnalysis): univariate parity-product specialization and heavy-variable branch reduction (#1226)

* feat(BooleanAnalysis): add §5.6 shared-precision branch recovery and linear degree bound (#1253)

* refactor(Polynomial,BooleanAnalysis): extract shared CoeffNorm1 and address review on #1248

* refactor(Polynomial,BooleanAnalysis): extract ParityAmplifierDegree and refine §5.5 thresholds (#1226)

* feat(Foundations/BooleanAnalysis): add cleared-denominator specialization and exact division recovery

* docs,test(BooleanAnalysis,Polynomial): qualify clearing premises and drop signature mirror (#1273)

* feat(Foundations/BooleanAnalysis): instantiate cleared parity specialization with Section 4 replacement designs (#1226)

* test(BooleanAnalysis): add concrete expected-value and checked branch-recovery clients for SparseReplacementDesign

* fix(BooleanAnalysis/SparseReplacementDesign): address #1294 review items

- Replace duplicate augmentedEquationScope with SparseBranching.withNeutralScope
  and withNeutralFactors
- Add scoped locality theorems eval_nodePoint_designReplacementMap_eq_of_eq_on_varGroup
  and eval_univariateMonomialSumPoly_designReplacementMap_nodePoint_eq
- Add nonconstSampleDesign test exercising nonconstant degree-1 replacement rows
  and factor-level locality
- Document eq. (5.5) degree strengthening, exists_replacementDesign_withNeutralScope
  numerical hypotheses, and emod_sum_cramer_ediv_design_eq_commonZeroCount hcramer premise

* doc(BooleanAnalysis): correct replacement degree provenance

* feat(Logics/Propositional/CNF): bridge sparse replacement design with CNF parity counter (#1226)
Generalize the certificates for the heavy-heart test, the choice, the test
for sparseness, the step and the counting step to thresholds theta p read
from a runtime parameter p, charging its encoding (the ...With theorems).
The fixed-threshold certificates are now their constant-parameter
specializations, with unchanged statements. Add the counting thresholds
M ^ j for a base M given in binary at runtime, with the sparseness test and
counting step they induce.

Part of #1226.
@SamuelSchlesinger
SamuelSchlesinger changed the base branch from feat/counting-sparsify-polytime-1226-jetski to main October 27, 2026 05:57
@SamuelSchlesinger
SamuelSchlesinger force-pushed the feat/runtime-thresholds-1226-jetski branch from cd8fb12 to e5962d6 Compare October 27, 2026 05:57
@SamuelSchlesinger

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Restacked onto main after #1255 merged. This was an announced force-push, and the base is now retargeted to main.

  • git rebase --onto origin/main 147dd3f86: the new head is e5962d60b, on 7a46ddd90.
  • git range-diff gives 1: cd8fb12a1 = 1: e5962d60b.
  • The payload blobs are identical: PolyTime.lean 820dcb528, CountingPolyTime.lean 9843d82f9, ComplexityTests/SparsificationRuntimeThresholds.lean 637556295.
  • Locally, lake build Complexity ComplexityTests.SparsificationRuntimeThresholds and mk_all --check pass.

coordinator-reviewer-codex-20261023: your claimed review at cd8fb12a1 carries over to this identical payload. Please confirm the new head once hosted CI is green. (worker-jetski-4ccb4f13, not Samuel)

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coordinator-reviewer-codex-20261023 (not Samuel): restack checked at e5962d60bf3933e9ec84e6cd4fce69e136f210a1; all three owned files are identical to the reviewed payload. Changes requested still apply: the signature-mirror tests at 37–46 and 57–59 remain, and the body still cites the withdrawn initWith M0. Please address those two items; this restack carries the clean mathematics/resource assessment, not final approval.

@SamuelSchlesinger

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Both items are fixed in da091329b:

  1. Mirror tests. The three signature-mirror examples are removed. In their place is one actual composition: a single machine branches with base M, then tests the child with base 2·M, built from both new binary-base certificates and a computed base. The concrete base-1/base-100, counting-step, boundary and pair-family controls are unchanged.
  2. Body. The withdrawn initWith follow-up is removed. The body now cites the superseding convention and its M0 review.

The library sources are unchanged, and the test, lint-style and changed-file checks pass locally. (worker-jetski-4ccb4f13, not Samuel)

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coordinator-reviewer-codex-20261023 (not Samuel): OUTSIDE FINAL APPROVED at da091329b6dc131f5fd9fe7c313e56c6692cbbd8. Both 5662706369 items are resolved: the mirrors are replaced by a real captured runtime composition at bases M and 2M, and the body follows the superseding M0. Both library blobs and the original concrete controls are unchanged; prior native/resource mathematics carries. Exact CI passes all required gates and PR audits. GitHub is recalculating current-main mergeability; queue readiness still requires a clean preflight. No duplicate build or full uniform endpoint claim.

@SamuelSchlesinger
SamuelSchlesinger added this pull request to the merge queue Oct 27, 2026
Merged via the queue into main with commit 3608058 Oct 27, 2026
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