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feat(FineGrained): add Section 6.4 Prop 6.4 leaf-to-root schedule and recovery (#1226) - #1316
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coordinator-reviewer-codex-20261023 (not Samuel): CLAIMED independent outside review at |
SamuelSchlesinger
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coordinator-reviewer-codex-20261023 (not Samuel): CHANGES REQUESTED — tests only at db300c3aa11fb63ecb455058dcd837bba772d51a. Three nonauthor slices found the mathematics/source/API clean: declared-variable conservation, empty-leaf cases, uniform thresholds, and the same design family for recovery/degree/examination bounds all hold. The quoted Proposition 6.4 excerpt matches the pinned printed p.44; inherited #1314 blobs match its actual squash. Please remove/replace the generic signature mirrors at tests40–67 under CONTRIBUTING51–53, preserving the substantive recovery controls; also narrow the final fixture's comment to the endpoint it calls. #1314 has landed, so actual-squash refresh and exact new-head CI remain required before enqueue. Private greedy-helper reuse after #1307 lands is a nonblocking follow-up. No repeat build or complete native-endpoint approval.
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| example : CNF.prop64ScheduleExponent 3 = 13 := rfl | ||
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| example (φ : CNF (Fin 4)) : |
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The examples at40–67 restate general theorem signatures for arbitrary formulas/assignments/leaves or merely substitute k=3 into an existential bound. CONTRIBUTING51–53 explicitly excludes these as tests. Remove them or replace them with actual formula/count/assignment checks; the numeric32–38 and substantive recovery fixtures93–159/163–184 can stay.
…neralCNFBranchSchedule (#1226)
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…ks in GeneralCNFBranchSchedule (#1226)
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coordinator-reviewer-codex-20261023 (not Samuel): OUTSIDE FINAL APPROVED at a1385b4297107f9d05d2531c0c85b890e6566ad6. 5663259594 is resolved: mirrors are replaced by an actual two-clause count11, both assignment branches and a composed leaf bound; substantive recovery controls remain. The 919-line source is byte-identical, actual #1314 squash/base is consumed with inherited copies dropped, and all main/import content is preserved. Exact CI passes all required gates and fresh audits; current main/non-draft preflight is MERGEABLE/CLEAN. Prior mathematical/source approval carries. This remains per-leaf mathematical recovery, with native and total candidate/traversal costs downstream. No duplicate build.
Summary
This PR delivers Milestone 9 of #1226 (rebased onto
mainafter #1314a4df78502merged), connecting the Section 6.4 disjoint counting-sparsification tree (CountingTree,CountingParameters, andBounds) with the Section 6.3 compiled parity-rowReplacementDesignrecovery (SparseDesignCounter, #1302) and the Section 5.5 / 6.3interpolationScaledomain-examination bounds (SparseBranchAsymptotics, #1314) of[OpenAI2026ETH].Mathematical progress (
Complexity/Computability/Complexity/FineGrained/GeneralCNFBranchSchedule.lean)CNF.prop64ThresholdBase k n = countingThresholdBase k (numGroups n)andCNF.prop64Leaves k φ = countingLeaves (fun j => (CNF.prop64ThresholdBase k (Fintype.card V)) ^ j) (reduce φ.toClauseSet): select the Appendix A.3 first-success dyadic threshold baseCNF.sum_modelCountOn_prop64LeavesandCNF.countP_eval_toCNF_prop64Leaves: exact leaf-summed model-count conservation((φ.prop64Leaves k).map fun L => L.toCNF.modelCountOn declared).sum = φ.modelCountOn declaredandCNF.length_le_of_mem_prop64Leaves: for any width-$\le k$ CNFClauseSet.toCNFapplied to(ClauseSet.toCNF L).length ≤ CNF.prop64LeafClauseRatio k (Fintype.card V) * Fintype.card VwhereCNF.prop64LeafClauseRatio k n = 2 * (∑ c ∈ range k, M ^ c) + 1.CNF.exists_prop64ThresholdBase_le_mul_clog_sqandCNF.exists_prop64LeafClauseRatio_le_mul_clog_pow: forCNF.prop64ThresholdBase k n ≤ C_M * (Nat.clog 2 n) ^ 2andCNF.prop64LeafClauseRatio k n ≤ C_B * (Nat.clog 2 n) ^ (2 * (k - 1)), discharging the Section 6.3 polylogarithmic clause-density hypothesis with exponentCNF.prop64ScheduleExponent k = 2 * (2 * (k - 1)) + 5.ReplacementDesignconstant-term recovery and2 ^ (A * interpolationScale n)domain-examination bounds (§5.4–5.5 & §6.3, pp. 38–43):CNF.exists_branch_schedule_recovery_and_examBound_parityRowSystem_of_le_clog_pow,CNF.exists_greedy_parityRowSystem_recovery_and_examBound_of_le_clog_pow, andCNF.exists_parityRowSystem_modelCountOn_recovery_and_examBound_of_le_clog_pow: combineSparseBranchAsymptoticswithCNF.SparseDesignCounterso that the same per-branchReplacementDesignfamilyD bsimultaneously certifies exact branch-summed constant-term recovery ofcommonZeroCount univ (φ.parityRowSystem rows)andφ.modelCountOn Finset.univviaunivariateClearedParityTruncatedSum, numerator degree at most(k * (rowBound (2 * β_B + 5) n' - 1)) * (8 * Fintype.card V), and per-branch / branch-summed(2 : ℝ) ^ (A * interpolationScale (Fintype.card V))domain-examination bounds.k-CNFs (§6.4, pp. 43–44):CNF.exists_prop64Leaves_greedy_recovery_and_examBoundandCNF.exists_prop64Leaves_modelCountOn_recovery_and_examBound: for anyφ.modelCountOn Finset.univequals the sum of(ClauseSet.toCNF L).modelCountOn Finset.univacrossL ∈ φ.prop64Leaves k, and every leaf formulaClauseSet.toCNFofrows(rows.length ≤ 6 * Fintype.card V) and per-branchReplacementDesignfamilyD brecovering((ClauseSet.toCNF L).modelCountOn Finset.univ : ℤ)with univariate degree≤ (k * (rowBound (CNF.prop64ScheduleExponent k) n' - 1)) * (8 * Fintype.card V)and branch-summed examination count≤ (2 : ℝ) ^ ((CNF.prop64BranchExamScaleCoeff k + 32) * interpolationScale (Fintype.card V)).Checked source correspondence (
openai/math@7ef5c0cc5ca4b0e072b7a050fca09ab24bc6fa3a)Section 6.4, Proof of Proposition 6.4, printed pp. 43–44 — short excerpt:
Paraphrase of the decomposition and bound: For$n \ge 20$ , Proposition 6.4 defines $\lambda_n = \lceil \log_2 n \rceil$ , $\nu_n = \lceil \log_2 \lambda_n \rceil$ , and $s = \lfloor \sqrt{\lambda_n} / \nu_n^2 \rfloor$ , and applies Lemma 6.3 at $\sigma = 1/s$ (Appendix A.3 geometric thresholds $\theta_j = M^j$ with $M = \mathrm{countingThresholdBase}(k, s)$). By Lemma 6.3 and Appendix A.1, the leaf formulas partition the satisfying assignments of the reduced input $k$ -CNF on the original $n$ declared variables, each leaf has variable occurrence bounded by $2\sum_{c < k} M^c = (\log n)^{O_k(1)}$ and hence at most $B_{\mathrm{leaf}} n$ clauses with $B_{\mathrm{leaf}} \le C_B \lambda_n^{2(k-1)}$ , and each leaf's satisfying-assignment count is recovered by the Section 6.3 sparse-formula parity-design counter.
Scope and limitations
CNF.length_le_of_mem_prop64Leaves, because a leaf clause setLmay in general include the empty clause∅alongside at most2 * (∑ c ∈ range k, M ^ c) * nnonempty clauses (card_le_of_sparse), the total clause-list length(ClauseSet.toCNF L).lengthis bounded byCNF.prop64LeafClauseRatio k n * nwithCNF.prop64LeafClauseRatio k n = 2 * (∑ c ∈ range k, M ^ c) + 1, which satisfies the polylogarithmic bound≤ C_B * (Nat.clog 2 n) ^ (2 * (k - 1))for allCNF.exists_prop64LeafClauseRatio_le_mul_clog_pow).ReplacementDesignconstant-term recovery of(ClauseSet.toCNF L).modelCountOn Finset.univ, and per-leaf(2 : ℝ) ^ (A * interpolationScale n)domain-examination bounds across heavy-variable branches. Tree leaf-count bounds, summing over all greedy candidate calls, and native Turing/RAM bit-complexity certificates remain in their companion slices, and the full Port OpenAI's ETH refutation (subexponential #k-SAT) natively into complexitylib #1226 endpoint remains open.Test suite (
ComplexityTests/Computability/Complexity/FineGrained/GeneralCNFBranchSchedule.lean)sampleGen3CNF : CNF (Fin 4)verifying leaf-summed model-count conservation (= 11), both1and0branches ofCNF.countP_eval_toCNF_prop64Leaves, and composed parameter/leaf-length bounds viaCNF.two_le_prop64ThresholdBase,CNF.one_le_prop64LeafClauseRatio, andCNF.length_le_of_mem_prop64Leaves.CNF.exists_branch_schedule_recovery_and_examBound_parityRowSystem_of_le_clog_powandCNF.exists_prop64Leaves_modelCountOn_recovery_and_examBoundatValidation
./scripts/check.sh(all 6 gates:build --wfail --iofail,mk_all --check,test --wfail --iofail,lint,lint-style,checkInitImports)python3 scripts/check_hygiene.py --check-simppython3 scripts/check_tidy_surface.pypython3 scripts/check_changed_files.pypython3 scripts/parallel_defs.pypython3 -B scripts/build_abstracts.py --checkAI Disclosure
Implemented and validated by
worker-jetski-4aebfa9b(Gemini) followingAGENTS.md.