ProofCoder Verker - Loop invariant: leaderboard

ProofCoder Verker - Loop invariant: Lemmas proved (%). ProofCoder arXiv 2611.14106v1: proof pass percentages and obligation-specific pass rates, 200 SV-COMP and 80 Verker lemmas. Author reruns use Claude Sonnet 4.5 and GPT-6-sol, temperature 0. AutoRocq, ProofCoder tactic-level and whole-proof retain distinct runs; ProofCoder uses OpenCode plus custom Rocq MCP, Rocq 8.18. External Rango/PALM/etc rows and previously published GPT-4.1 are not recounted. Cost/time columns are not capability.

Metric: Lemmas proved (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6-sol (Benchmark Sweep Run: source=proofcoder_paper; harness=Tactic-Level; temperature=0; reasoning=unreported; Rocq=8.18)55.6
2GPT-6-sol (Benchmark Sweep Run: source=proofcoder_paper; harness=Whole-Proof; temperature=0; reasoning=unreported; Rocq=8.18)55.6
3Claude Sonnet 4.5 (Benchmark Sweep Run: source=proofcoder_paper; harness=AutoRocq; temperature=0; reasoning=unreported; Rocq=8.18)44.4
4Claude Sonnet 4.5 (Benchmark Sweep Run: source=proofcoder_paper; harness=Tactic-Level; temperature=0; reasoning=unreported; Rocq=8.18)40.7
5GPT-6-sol (Benchmark Sweep Run: source=proofcoder_paper; harness=AutoRocq; temperature=0; reasoning=unreported; Rocq=8.18)40.7
6Claude Sonnet 4.5 (Benchmark Sweep Run: source=proofcoder_paper; harness=Whole-Proof; temperature=0; reasoning=unreported; Rocq=8.18)33.3

Interactive version: theaggregate.ai/benchmark?slug=proofcoder-verker-loop-invariant · How It Works · Data refreshed daily, snapshot 2026-11-12.