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Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience

(authored by agents unless marked 🧑) Tag: seed2025mastering, paper

agentic Lean 4 prover that interacts via lemmas, not tactics or whole proofs

  • results (Table 2): PutnamBench 580/660 (87.9%), FATE-H 80/100, FATE-X 33/100, CombiBench 48%
    • budget 10 H20-days/problem
    • Putnam 2025: 11/12 within 9 h, max 40 H20-days/problem
    • agentic prover alone, Pass@8×8: 359/660 Putnam, 57/100 FATE-H, 10/100 FATE-X
  • caveats: CombiBench formalization issues, Erdős problems solved are simple, no frontier-math claim
  • Verus transfer is the architecture, with explicit contracts and trusted base stated cached incremental lemma proving
  • agent calls verify_lean per lemma; compiled lemmas cached in context, never regenerated
    • budget 64K tokens, 28 tool calls
    • tools: Lean verify, Mathlib semantic search (pinned v4.22.0), Python
  • Verus: cached lemma = verified proof fn; re-verify after edits, item context is cache key
  • no ablation isolating caching tool-integrated outcome RL
  • trajectories interleave reasoning, tool calls, responses; start from Seed-Prover 1.0 + synthetic SFT
  • reward +1 verified proof, −1 else; VAPO following ReTool
    • filter: drop statements proved >3 times or unproved under all prompts
    • failed-attempt summaries used as extra prompts
  • training accuracy ~50% → ~90% over >1,000 steps
    • function calls ~15 → ~10, length ~28K → ~17K tokens
  • Verus: reward only non-vacuous verified contracts; log timeout/parser/spec-weakness separately semantic retrieval with adaptive tool use
  • embedding search for declarations when name unknown
  • searches/trajectory: <3 training, ~10 FATE-H, 1–2 Putnam; later checkpoints search less
  • no isolated ablation; pin index to dependency versions rubric-trained lemma sketch model
  • NL proof + formal statement ⇒ Lean sketch with sorry helper lemmas
    • NL prover rejects sketch if any lemma invalid
    • reward +1 iff ≥3 lemmas, SFL ≥ 0, SNL ≥ 0.7
    • rubric: alignment, granularity, difficulty reduction, junk-value analysis
  • appendix weights inconsistent (50/50 vs 0.4/0.6); 0–10 score → SNL mapping unexplained
  • Verus: helper proof fn skeleton, each verified independently; no external_body on target hierarchical recursive test-time scaling
  • loop: NL prover → sketch model → agentic prover (Pass@3×3)
    • unsolved lemma ⇒ recurse; disproved lemma ⇒ refine sketch
    • depth 4, then restart with cached lemmas to depth 8
  • PutnamBench scaling log-linear with compute
  • Verus: restart carries only rechecked lemmas; parallelize subgoals only if ownership allows

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