{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DUOSJJ53R6RC2FPPNQDFFJPIFS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"108e4c4c3a0fb438835b75473889950a662e213c09c5c8e554cb694fef471588","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-30T06:18:33Z","title_canon_sha256":"cf96dee40ec84c089d03757cbe817716490351eb7f3a1e4e65d82ebc7f6b5445"},"schema_version":"1.0","source":{"id":"2412.20735","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20735","created_at":"2026-07-05T10:36:33Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20735v3","created_at":"2026-07-05T10:36:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20735","created_at":"2026-07-05T10:36:33Z"},{"alias_kind":"pith_short_12","alias_value":"DUOSJJ53R6RC","created_at":"2026-07-05T10:36:33Z"},{"alias_kind":"pith_short_16","alias_value":"DUOSJJ53R6RC2FPP","created_at":"2026-07-05T10:36:33Z"},{"alias_kind":"pith_short_8","alias_value":"DUOSJJ53","created_at":"2026-07-05T10:36:33Z"}],"graph_snapshots":[{"event_id":"sha256:87d2380c57e2e021b7fcaa095655a89b4f430ec81dc9e55d8049227497444101","target":"graph","created_at":"2026-07-05T10:36:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.20735/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce HunyuanProver, an language model finetuned from the Hunyuan 7B for interactive automatic theorem proving with LEAN4. To alleviate the data sparsity issue, we design a scalable framework to iterative synthesize data with low cost. Besides, guided tree search algorithms are designed to enable effective ``system 2 thinking`` of the prover. HunyuanProver achieves state-of-the-art (SOTA) performances on major benchmarks. Specifically, it achieves a pass of 68.4% on the miniF2F-test compared to 65.9%, the current SOTA results. It proves 4 IMO statements (imo_1960_p2, imo_1962_p2}, imo_1","authors_text":"Chen Li, Dong Du, Haitao Mi, Linfeng Song, Tao Yang, Weikang Wang, Yang Li","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-30T06:18:33Z","title":"HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20735","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f4492c473739061ed30fb3ad62e8d6132e7f2be70b2a7d1f98d9f213190783eb","target":"record","created_at":"2026-07-05T10:36:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"108e4c4c3a0fb438835b75473889950a662e213c09c5c8e554cb694fef471588","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-12-30T06:18:33Z","title_canon_sha256":"cf96dee40ec84c089d03757cbe817716490351eb7f3a1e4e65d82ebc7f6b5445"},"schema_version":"1.0","source":{"id":"2412.20735","kind":"arxiv","version":3}},"canonical_sha256":"1d1d24a7bb8fa22d15ef6c0652a5e82c81c963efd088a1dea5fbc373a3410eae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d1d24a7bb8fa22d15ef6c0652a5e82c81c963efd088a1dea5fbc373a3410eae","first_computed_at":"2026-07-05T10:36:33.781070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:33.781070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m/MpPkr3jMH1AEw9RS6fxw+yhHRoJuu7yzAxbRpmoQKmQR6JRxgLrMqtaK4AjuJD3J/hDFKXekjfxzinCQGCCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:33.781636Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20735","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4492c473739061ed30fb3ad62e8d6132e7f2be70b2a7d1f98d9f213190783eb","sha256:87d2380c57e2e021b7fcaa095655a89b4f430ec81dc9e55d8049227497444101"],"state_sha256":"aba12e17f36ac752b23367da88f4c62da65bd2b4cdcc73b00ed627bbc69ea5db"}