{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3OA4OPQUJTJ564N3FFJ7SVMS5T","short_pith_number":"pith:3OA4OPQU","canonical_record":{"source":{"id":"2302.02914","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-06T16:38:43Z","cross_cats_sorted":["cs.AI","cs.SI"],"title_canon_sha256":"c3e27d534f983ed9fbc2d55e1a584e31052c3e45f0b864526382015a535fc28e","abstract_canon_sha256":"40a1834497eb72860b70e6fd27968338eb41fe6ae6b61b42693007c1907689be"},"schema_version":"1.0"},"canonical_sha256":"db81c73e144cd3df71bb2953f95592ecf8db865ee773032eee0b09bd0bd96221","source":{"kind":"arxiv","id":"2302.02914","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3OA4OPQUJTJ564N3FFJ7SVMS5T","target":"record","payload":{"canonical_record":{"source":{"id":"2302.02914","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-02-06T16:38:43Z","cross_cats_sorted":["cs.AI","cs.SI"],"title_canon_sha256":"c3e27d534f983ed9fbc2d55e1a584e31052c3e45f0b864526382015a535fc28e","abstract_canon_sha256":"40a1834497eb72860b70e6fd27968338eb41fe6ae6b61b42693007c1907689be"},"schema_version":"1.0"},"canonical_sha256":"db81c73e144cd3df71bb2953f95592ecf8db865ee773032eee0b09bd0bd96221","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:32.857803Z","signature_b64":"oEWSkwtnbJtfaYcax6RcqqVPDuqflhnDOBLBsdpJbQtkcdKetNO0aOqnH6BCODK4K26/yNVRs37rdGJjp4dNDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db81c73e144cd3df71bb2953f95592ecf8db865ee773032eee0b09bd0bd96221","last_reissued_at":"2026-07-05T05:49:32.857378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:32.857378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.02914","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:49:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OzfNpBh3zqOPLu19oc9eFPjSbvwdhN5SSMg83ruVCaBZqhskiOGt1Zi/qjnr10LBv/hGlv98ZH+lUE8BPTe+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:53:29.881086Z"},"content_sha256":"6bf22b7af9d24e096d0db58634d93bc1da3d2fe030e90f54f3be538a0e796c1f","schema_version":"1.0","event_id":"sha256:6bf22b7af9d24e096d0db58634d93bc1da3d2fe030e90f54f3be538a0e796c1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3OA4OPQUJTJ564N3FFJ7SVMS5T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Energy-based Out-of-Distribution Detection for Graph Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SI"],"primary_cat":"cs.LG","authors_text":"Chenxiao Yang, Junchi Yan, Qitian Wu, Yiting Chen","submitted_at":"2023-02-06T16:38:43Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.02914","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.02914/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:49:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IEUiGhBf1urK/JfuZ/734+bdGSIZ5Dmvxl6aRKoGz8WtSg9SAPsLvlOelkMgWdh8jPrIFpAZWnC+RZoaNRbgDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T06:53:29.881582Z"},"content_sha256":"907d5c1b9dfcf28459d6468696db0cae7fa9a163955132e12865a672d96eac28","schema_version":"1.0","event_id":"sha256:907d5c1b9dfcf28459d6468696db0cae7fa9a163955132e12865a672d96eac28"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T/bundle.json","state_url":"https://pith.science/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T06:53:29Z","links":{"resolver":"https://pith.science/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T","bundle":"https://pith.science/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T/bundle.json","state":"https://pith.science/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3OA4OPQUJTJ564N3FFJ7SVMS5T/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"obp3QOt4ojalMVqHhyOkR+Y5MX+MZY1OZpHR8iX7qaym3W4g/7jJcSsACvsDqs/U0uV1aw497mhhyOS863YVBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T06:53:29.884954Z","bundle_sha256":"45868ecb7ce09141ad159f0a0c8d58272d90590654e037563c0366447816372c"}}