{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2MS7PWLABODDGDW3FTTXPSF3AO","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":"6a95d90a26f34a55df8e98e3e2f1745cce601273b75b1b64459a1195b0f7c5cd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-25T07:15:58Z","title_canon_sha256":"3a38f6afa95b1e2b0330a103d7c0008647a062eb790d6e138f7fc49c448e4d3a"},"schema_version":"1.0","source":{"id":"2308.13212","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13212","created_at":"2026-07-05T07:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13212v2","created_at":"2026-07-05T07:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13212","created_at":"2026-07-05T07:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"2MS7PWLABODD","created_at":"2026-07-05T07:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"2MS7PWLABODDGDW3","created_at":"2026-07-05T07:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"2MS7PWLA","created_at":"2026-07-05T07:54:50Z"}],"graph_snapshots":[{"event_id":"sha256:dbbd92310f13d9fed0ac78a98f55abde79f747c8faed3830c9ff89261aa3ba1f","target":"graph","created_at":"2026-07-05T07:54:50Z","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/2308.13212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) with equivariant properties have emerged as powerful tools for modeling complex dynamics of multi-object physical systems. However, their generalization ability is limited by the inadequate consideration of physical inductive biases: (1) Existing studies overlook the continuity of transitions among system states, opting to employ several discrete transformation layers to learn the direct mapping between two adjacent states; (2) Most models only account for first-order velocity information, despite the fact that many physical systems are governed by second-order mot","authors_text":"Fugee Tsung, Haihong Zhao, Jia Li, Jiashun Cheng, Peilin Zhao, Tingyang Xu, Yang Liu, Yu Rong","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-25T07:15:58Z","title":"SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13212","kind":"arxiv","version":2},"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":"sha256:123adc2d6d3d30372b1c33f106163c612699736bb073a101daff82cf87ee3e14","target":"record","created_at":"2026-07-05T07:54:50Z","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":"6a95d90a26f34a55df8e98e3e2f1745cce601273b75b1b64459a1195b0f7c5cd","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-25T07:15:58Z","title_canon_sha256":"3a38f6afa95b1e2b0330a103d7c0008647a062eb790d6e138f7fc49c448e4d3a"},"schema_version":"1.0","source":{"id":"2308.13212","kind":"arxiv","version":2}},"canonical_sha256":"d325f7d9600b86330edb2ce777c8bb039a2aa2f9c0658c73fbe08767a571e840","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d325f7d9600b86330edb2ce777c8bb039a2aa2f9c0658c73fbe08767a571e840","first_computed_at":"2026-07-05T07:54:50.304190Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:50.304190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vEIikRSoJ6uSTnYCQtqM8w+H7Q6GFXrrLVicOEJ1nvPmVPYJWsIsd4Mn7LAQyxc9xWlgX80JUA+KUj4AszmnAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:50.304632Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.13212","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:123adc2d6d3d30372b1c33f106163c612699736bb073a101daff82cf87ee3e14","sha256:dbbd92310f13d9fed0ac78a98f55abde79f747c8faed3830c9ff89261aa3ba1f"],"state_sha256":"f458ceacec917d949da414d093e5b2bb698d2211477c16cd3ad84c8dbda5545f"}