{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HEWGSYCXMZCEGUCKBENJI3Q67I","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":"cfcab936f3f021fadc44f3470214d5fe0b398f0c5e78f3213b4c641a09bac039","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-06T09:38:13Z","title_canon_sha256":"8d5b7ea1d638e234d14372c65075e12da789214597f9b160d2055276b161142f"},"schema_version":"1.0","source":{"id":"2506.05918","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05918","created_at":"2026-07-05T11:17:12Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05918v1","created_at":"2026-07-05T11:17:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05918","created_at":"2026-07-05T11:17:12Z"},{"alias_kind":"pith_short_12","alias_value":"HEWGSYCXMZCE","created_at":"2026-07-05T11:17:12Z"},{"alias_kind":"pith_short_16","alias_value":"HEWGSYCXMZCEGUCK","created_at":"2026-07-05T11:17:12Z"},{"alias_kind":"pith_short_8","alias_value":"HEWGSYCX","created_at":"2026-07-05T11:17:12Z"}],"graph_snapshots":[{"event_id":"sha256:59a06d8ca381507ee1e7fe92330431a514570f891db8706ccc4789bb2c272caf","target":"graph","created_at":"2026-07-05T11:17:12Z","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/2506.05918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Partial differential equations (PDEs) serve as the cornerstone of mathematical physics. In recent years, Physics-Informed Neural Networks (PINNs) have significantly reduced the dependence on large datasets by embedding physical laws directly into the training of neural networks. However, when dealing with complex problems, the accuracy of PINNs still has room for improvement. To address this issue, we introduce the Over-PINNs framework, which leverages automatic differentiation (AD) to generate higher-order auxiliary equations that impose additional physical constraints. These equations are in","authors_text":"Gang Zhu, Qiang He, Weifeng Huang, Wenxuan Huo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-06T09:38:13Z","title":"Over-PINNs: Enhancing Physics-Informed Neural Networks via Higher-Order Partial Derivative Overdetermination of PDEs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05918","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":"sha256:2879eeb7c47a9111eea73a444e7f4dd2c52846df94b013f230655f8f65eeaa80","target":"record","created_at":"2026-07-05T11:17:12Z","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":"cfcab936f3f021fadc44f3470214d5fe0b398f0c5e78f3213b4c641a09bac039","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-06T09:38:13Z","title_canon_sha256":"8d5b7ea1d638e234d14372c65075e12da789214597f9b160d2055276b161142f"},"schema_version":"1.0","source":{"id":"2506.05918","kind":"arxiv","version":1}},"canonical_sha256":"392c696057664443504a091a946e1efa0ca26cc3cd0aa141da93716bea1da4ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"392c696057664443504a091a946e1efa0ca26cc3cd0aa141da93716bea1da4ad","first_computed_at":"2026-07-05T11:17:12.718712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:12.718712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PB2w6EyY1b+9tpMdzIcr1PDs9Lo2aTVBgIT6dNv08vV463CuvQgm28QB6exmYuBl7XXymbma9cGEFn7HL5SABQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:12.719182Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05918","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2879eeb7c47a9111eea73a444e7f4dd2c52846df94b013f230655f8f65eeaa80","sha256:59a06d8ca381507ee1e7fe92330431a514570f891db8706ccc4789bb2c272caf"],"state_sha256":"76e39939dff6e184d91d0c5b638e4d076a75b64804fc548c28236cbec7bc1efa"}