{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3OA4OPQUJTJ564N3FFJ7SVMS5T","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":"40a1834497eb72860b70e6fd27968338eb41fe6ae6b61b42693007c1907689be","cross_cats_sorted":["cs.AI","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-06T16:38:43Z","title_canon_sha256":"c3e27d534f983ed9fbc2d55e1a584e31052c3e45f0b864526382015a535fc28e"},"schema_version":"1.0","source":{"id":"2302.02914","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.02914","created_at":"2026-07-05T05:49:32Z"},{"alias_kind":"arxiv_version","alias_value":"2302.02914v2","created_at":"2026-07-05T05:49:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.02914","created_at":"2026-07-05T05:49:32Z"},{"alias_kind":"pith_short_12","alias_value":"3OA4OPQUJTJ5","created_at":"2026-07-05T05:49:32Z"},{"alias_kind":"pith_short_16","alias_value":"3OA4OPQUJTJ564N3","created_at":"2026-07-05T05:49:32Z"},{"alias_kind":"pith_short_8","alias_value":"3OA4OPQU","created_at":"2026-07-05T05:49:32Z"}],"graph_snapshots":[{"event_id":"sha256:907d5c1b9dfcf28459d6468696db0cae7fa9a163955132e12865a672d96eac28","target":"graph","created_at":"2026-07-05T05:49:32Z","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/2302.02914/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning on graphs, where instance nodes are inter-connected, has become one of the central problems for deep learning, as relational structures are pervasive and induce data inter-dependence which hinders trivial adaptation of existing approaches that assume inputs to be i.i.d.~sampled. However, current models mostly focus on improving testing performance of in-distribution data and largely ignore the potential risk w.r.t. out-of-distribution (OOD) testing samples that may cause negative outcome if the prediction is overconfident on them. In this paper, we investigate the under-explored probl","authors_text":"Chenxiao Yang, Junchi Yan, Qitian Wu, Yiting Chen","cross_cats":["cs.AI","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-06T16:38:43Z","title":"Energy-based Out-of-Distribution Detection for Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.02914","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":"sha256:6bf22b7af9d24e096d0db58634d93bc1da3d2fe030e90f54f3be538a0e796c1f","target":"record","created_at":"2026-07-05T05:49:32Z","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":"40a1834497eb72860b70e6fd27968338eb41fe6ae6b61b42693007c1907689be","cross_cats_sorted":["cs.AI","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-06T16:38:43Z","title_canon_sha256":"c3e27d534f983ed9fbc2d55e1a584e31052c3e45f0b864526382015a535fc28e"},"schema_version":"1.0","source":{"id":"2302.02914","kind":"arxiv","version":2}},"canonical_sha256":"db81c73e144cd3df71bb2953f95592ecf8db865ee773032eee0b09bd0bd96221","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db81c73e144cd3df71bb2953f95592ecf8db865ee773032eee0b09bd0bd96221","first_computed_at":"2026-07-05T05:49:32.857378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:49:32.857378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oEWSkwtnbJtfaYcax6RcqqVPDuqflhnDOBLBsdpJbQtkcdKetNO0aOqnH6BCODK4K26/yNVRs37rdGJjp4dNDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:49:32.857803Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.02914","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6bf22b7af9d24e096d0db58634d93bc1da3d2fe030e90f54f3be538a0e796c1f","sha256:907d5c1b9dfcf28459d6468696db0cae7fa9a163955132e12865a672d96eac28"],"state_sha256":"7063642c7d5f96f9b97d936b5c84aac88774613f429df2ceec9bf37017044be8"}