{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:K7IPMLJU7IOK3EVB73O4YQRAAK","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":"894405113033b4e962e3a0e3f800665a2dfd8d8a3f3cb8668744a313b3b60d47","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-20T16:40:26Z","title_canon_sha256":"485d950a5ee5655140d80d7130944a47248ee75ea4c1fa54f59fd648b203748c"},"schema_version":"1.0","source":{"id":"2112.10664","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.10664","created_at":"2026-07-05T03:42:17Z"},{"alias_kind":"arxiv_version","alias_value":"2112.10664v1","created_at":"2026-07-05T03:42:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10664","created_at":"2026-07-05T03:42:17Z"},{"alias_kind":"pith_short_12","alias_value":"K7IPMLJU7IOK","created_at":"2026-07-05T03:42:17Z"},{"alias_kind":"pith_short_16","alias_value":"K7IPMLJU7IOK3EVB","created_at":"2026-07-05T03:42:17Z"},{"alias_kind":"pith_short_8","alias_value":"K7IPMLJU","created_at":"2026-07-05T03:42:17Z"}],"graph_snapshots":[{"event_id":"sha256:e8fa61f58ad48f46ac8b15bcfea6d569548930b14ee1452a9c97870ff601be0f","target":"graph","created_at":"2026-07-05T03:42:17Z","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/2112.10664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional automated theorem provers for first-order logic depend on speed-optimized search and many handcrafted heuristics that are designed to work best over a wide range of domains. Machine learning approaches in literature either depend on these traditional provers to bootstrap themselves or fall short on reaching comparable performance. In this paper, we propose a general incremental learning algorithm for training domain specific provers for first-order logic without equality, based only on a basic given-clause algorithm, but using a learned clause-scoring function. Clauses are represen","authors_text":"Ankit Anand, Doina Precup, Eser Ayg\\\"un, Laurent Orseau, Lei M. Zhang, Shibl Mourad, Vlad Firoiu, Xavier Glorot","cross_cats":["cs.LO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-20T16:40:26Z","title":"Proving Theorems using Incremental Learning and Hindsight Experience Replay"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10664","kind":"arxiv","version":1},"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:dfc0e769fb6751d09470801cd058d4d4a9be0a84f010b60825e43244562f9e6e","target":"record","created_at":"2026-07-05T03:42:17Z","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":"894405113033b4e962e3a0e3f800665a2dfd8d8a3f3cb8668744a313b3b60d47","cross_cats_sorted":["cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-12-20T16:40:26Z","title_canon_sha256":"485d950a5ee5655140d80d7130944a47248ee75ea4c1fa54f59fd648b203748c"},"schema_version":"1.0","source":{"id":"2112.10664","kind":"arxiv","version":1}},"canonical_sha256":"57d0f62d34fa1cad92a1feddcc422002b8dd5731e2d1a6eeb891d08c69ccb8a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57d0f62d34fa1cad92a1feddcc422002b8dd5731e2d1a6eeb891d08c69ccb8a2","first_computed_at":"2026-07-05T03:42:17.771120Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:42:17.771120Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QW+lXOvCMNYYLS6Y9j34rpazn7s6CpF1NyGI+MdFer6PZulGCZLeM1BRcmpeoPkPFFmMAFHaM8mZN0eEFdy1Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:42:17.771611Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.10664","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dfc0e769fb6751d09470801cd058d4d4a9be0a84f010b60825e43244562f9e6e","sha256:e8fa61f58ad48f46ac8b15bcfea6d569548930b14ee1452a9c97870ff601be0f"],"state_sha256":"ee88f163dfd17a63ae830b538a21fb6edf44cef1810186045a13c124d6d99398"}