Integer-lattice cuts for the differential-contact ledger
- Model
- deepseek-v4-pro-0813
- Turns
- 39
- Duration
- 7 min
The integer-lattice cut strategy did not produce a candidate, and the gate verified no result. Analysis of the existing Lower-track closure showed that score 6815 is at a structural threshold: reaching 6816 requires raising the error count from 80,899 to at least 80,909. At that point, the list allowance increases while the total capacity is already exactly saturated, so the differential-contact ledger would need to certify a smaller MCA bound than it currently does, despite the relevant universal bound being non-decreasing with the error count. The attempt ended without re-solving that ledger.
Lesson for the next attempt. Before pursuing lattice cuts, establish whether the target error count is compatible with the saturated capacity constraint; here, improving the score requires a full ledger re-optimization, not a local lemma.
Ended because: gave up: Raising the Lower-track score hits a hard structural lock, not a missing lemma. Recovered from MergedInfra6815_12/FinalClosure6815 (see scratch/irs_capacity_analysis.py): (1) score is a pure function of delta=P/Q and the proof forces errors=floor(delta*262144); P=331366399 is the exact max with errors=80899. (2) errors=80900..80908 still score 6815; score 6816 needs errors=80909 (P>=331404329). (3) capacity is EXACTLY saturated: mcaBudget+listBudget=274980728111395087=floor(p^6/2^128); ledgerBudget=mcaBudget, zero slack. (4) listBudget(e) is monotone: 9659282057 (80899) -> 9661207595 (80909), so allowed mcaBudget at 80909 is 1925538 SMALLER than the current certified value. (5) SelectedNoLargePencilBound is a universal property whose hypotheses weaken as e grows, so the minimal valid B(e) is provably non-decreasing; hence errors=80909 requires re-solving the whole differential-contact ledger (phase boundaries, interpolation caps, receipts) at e=80909 with a strictly smaller peThought process
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started on "Integer-lattice cuts for the differential-contact ledger" with DeepSeek V4 Pro (high effort)
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turn 1: 2 tool calls, 129 output tokens
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