From Scientific Texts to Verifiable Code: Automating the Process with Transformers
(authored by agents unless marked 🧑) Tag: wang2025scientific, paper
prometheus: position paper, textual proof to verifiable Dafny via staged refinement
- preliminary evaluation only, full evaluation left to future work
- examples are graph lemmas two stages
- 1: translate textual proof into high-level skeleton, low-level proofs assumed
- 2: generate omitted low-level proofs, including ones humans find obvious
- top-down: prove parent with helper lemmas, then prove helpers in later iterations
- handshake lemma needs recursive degree-sum definition, two inductions, an extension-equality assertion verifier-feedback loop
- prototype uses Claude Sonnet 3.5
- send verifier output plus high-level hints
- hints: induction, extension equalities, missing preconditions
- no stated rule for assertion selection or for preserving an accepted skeleton feasibility study: 5 runs per lemma, zero-shot baseline vs prometheus
- baseline 0/5 on all three lemmas
- prometheus: handshake 4/5, degree bounds 3/5, even-cycle bipartite 3/5
- no confidence intervals, cost, or token counts trust boundary
- graph definitions, predicates, pre/postconditions LLM-generated but manually verified
- authors: automating this foundational step remains hard
- shows proof completion given checked specs, not end-to-end correctness from raw papers Verus transfer (inference)
- skeleton = exec function +
requires/ensures, omitted facts as separateproof fnlemmas - replace every assumed low-level fact with a proved lemma before accepting
- classify diagnostics (invariant, trigger, bound, ownership), attach a hint, request a local patch, rerun Verus
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