{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KM3EMDU4ARHSABTANRNHVTJXT3","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":"ded2a57ed68cfbc7c931888e7035a6cbc58c5a1f51fb38a37f3f5fb85c23a61c","cross_cats_sorted":["cs.SC","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-18T11:19:41Z","title_canon_sha256":"c9a4f8dbe9a94a02d6a2578022b93968b51516dc387eba47477a19d34f9eff9d"},"schema_version":"1.0","source":{"id":"2308.09474","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.09474","created_at":"2026-07-05T10:36:21Z"},{"alias_kind":"arxiv_version","alias_value":"2308.09474v3","created_at":"2026-07-05T10:36:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.09474","created_at":"2026-07-05T10:36:21Z"},{"alias_kind":"pith_short_12","alias_value":"KM3EMDU4ARHS","created_at":"2026-07-05T10:36:21Z"},{"alias_kind":"pith_short_16","alias_value":"KM3EMDU4ARHSABTA","created_at":"2026-07-05T10:36:21Z"},{"alias_kind":"pith_short_8","alias_value":"KM3EMDU4","created_at":"2026-07-05T10:36:21Z"}],"graph_snapshots":[{"event_id":"sha256:0d1682ef3f5cd8dbd749eda215faf65bd5a366c048793bcaf0e972fc8f18c3d6","target":"graph","created_at":"2026-07-05T10:36:21Z","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/2308.09474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by manipulating equations based on existing knowledge, forming new equations, and verifying them experimentally. In recent years, data-driven scientific discovery has emerged as a viable competitor in settings with large amounts of experimental data. Unfortunately, data-driven methods often fail to discover valid laws when data is noisy or scarce. Accordingly, recent works combine regression and","authors_text":"Bachir El Khadir, Cristina Cornelio, Lior Horesh, Ryan Cory-Wright, Sanjeeb Dash","cross_cats":["cs.SC","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-18T11:19:41Z","title":"Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.09474","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":"sha256:912d9e3eef6c60cecca9956dcb3ada035da5b76c36f80278b2a230a39573ee96","target":"record","created_at":"2026-07-05T10:36:21Z","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":"ded2a57ed68cfbc7c931888e7035a6cbc58c5a1f51fb38a37f3f5fb85c23a61c","cross_cats_sorted":["cs.SC","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-18T11:19:41Z","title_canon_sha256":"c9a4f8dbe9a94a02d6a2578022b93968b51516dc387eba47477a19d34f9eff9d"},"schema_version":"1.0","source":{"id":"2308.09474","kind":"arxiv","version":3}},"canonical_sha256":"5336460e9c044f2006606c5a7acd379edb8da44ea16e1b2ec442dff6946aae53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5336460e9c044f2006606c5a7acd379edb8da44ea16e1b2ec442dff6946aae53","first_computed_at":"2026-07-05T10:36:21.509562Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:21.509562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sdo8vGOGnrUKbICupWK5378ISmp7U/C5PQe6WUudeNsJfrUzmx5ZZhJD3VwncNgcj/vhc8UobJ+8SrKiVBn3Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:21.509995Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.09474","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:912d9e3eef6c60cecca9956dcb3ada035da5b76c36f80278b2a230a39573ee96","sha256:0d1682ef3f5cd8dbd749eda215faf65bd5a366c048793bcaf0e972fc8f18c3d6"],"state_sha256":"2f1161d67c6e1244486236fa7b7713e6c5078570f848e88c77969747676ca33d"}