{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU","short_pith_number":"pith:LCTQ5TOT","canonical_record":{"source":{"id":"2412.16435","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-21T01:52:03Z","cross_cats_sorted":["cs.IR","cs.SI"],"title_canon_sha256":"d357a8d4892f55bfd68710a34b71179d345d1158d274f6ee5a483da5a4dd5a2e","abstract_canon_sha256":"f2cf48eaa73c9dca62089e4973f98538b52ff026302cbf91e075e0695ac230b9"},"schema_version":"1.0"},"canonical_sha256":"58a70ecdd33a0344fb29fc3374e73a953cf0126380458d1d8978f80b9fa14346","source":{"kind":"arxiv","id":"2412.16435","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16435","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16435v2","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16435","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"pith_short_12","alias_value":"LCTQ5TOTHIBU","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"pith_short_16","alias_value":"LCTQ5TOTHIBUJ6ZJ","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"pith_short_8","alias_value":"LCTQ5TOT","created_at":"2026-07-05T09:59:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16435","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-21T01:52:03Z","cross_cats_sorted":["cs.IR","cs.SI"],"title_canon_sha256":"d357a8d4892f55bfd68710a34b71179d345d1158d274f6ee5a483da5a4dd5a2e","abstract_canon_sha256":"f2cf48eaa73c9dca62089e4973f98538b52ff026302cbf91e075e0695ac230b9"},"schema_version":"1.0"},"canonical_sha256":"58a70ecdd33a0344fb29fc3374e73a953cf0126380458d1d8978f80b9fa14346","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:57.638545Z","signature_b64":"++OS2qP2+DpC2zL0Gdkcb1PdTmX8vJVFMZPWJjma5VE0d9568ZNlp41sCBHgIv8EjhEYvoDPifWtbW8SVzFlAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58a70ecdd33a0344fb29fc3374e73a953cf0126380458d1d8978f80b9fa14346","last_reissued_at":"2026-07-05T09:59:57.637957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:57.637957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16435","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":"2026-07-05T09:59:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ofG7Y1abkO+/UJPVJJPvoaLfSm8EEyTYdq73PHFjdVzYA+GMa4CWPvbjPyN0vlAEIuYHk3/V+uRaDFgLe9meDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:26:46.685996Z"},"content_sha256":"3c069bdf1a4efa7c577edfd6f98fe4052d1a5f7793d2bb5c9a991840269edec3","schema_version":"1.0","event_id":"sha256:3c069bdf1a4efa7c577edfd6f98fe4052d1a5f7793d2bb5c9a991840269edec3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"THeGCN: Temporal Heterophilic Graph Convolutional Network","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.IR","cs.SI"],"primary_cat":"cs.LG","authors_text":"Hanghang Tong, Huiyuan Chen, Lihui Liu, Xiaoting Li, Yuchen Yan, Yuzhong Chen, Zhe Xu, Zhichen Zeng, Zhining Liu","submitted_at":"2024-12-21T01:52:03Z","abstract_excerpt":"Graph Neural Networks (GNNs) have exhibited remarkable efficacy in diverse graph learning tasks, particularly on static homophilic graphs. Recent attention has pivoted towards more intricate structures, encompassing (1) static heterophilic graphs encountering the edge heterophily issue in the spatial domain and (2) event-based continuous graphs in the temporal domain. State-of-the-art (SOTA) has been concurrently addressing these two lines of work but tends to overlook the presence of heterophily in the temporal domain, constituting the temporal heterophily issue. Furthermore, we highlight tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16435","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/2412.16435/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":"2026-07-05T09:59:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tHXpQYqKZBEVJezjV/Kvvj7HXSslgoV9lpIPrxUTmv+D+4QXcFSMBwS7H42W2vygJ4BIx0+2520fMO8ZWORsCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:26:46.687317Z"},"content_sha256":"be2ed713024a3342e0805179a5fb2f594cfdbdaa0d1fa58d0bb7c1e614f5c2a2","schema_version":"1.0","event_id":"sha256:be2ed713024a3342e0805179a5fb2f594cfdbdaa0d1fa58d0bb7c1e614f5c2a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU/bundle.json","state_url":"https://pith.science/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU/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":"2026-08-10T14:26:46Z","links":{"resolver":"https://pith.science/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU","bundle":"https://pith.science/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU/bundle.json","state":"https://pith.science/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LCTQ5TOTHIBUJ6ZJ7QZXJZZ2SU","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":"f2cf48eaa73c9dca62089e4973f98538b52ff026302cbf91e075e0695ac230b9","cross_cats_sorted":["cs.IR","cs.SI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-21T01:52:03Z","title_canon_sha256":"d357a8d4892f55bfd68710a34b71179d345d1158d274f6ee5a483da5a4dd5a2e"},"schema_version":"1.0","source":{"id":"2412.16435","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16435","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16435v2","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16435","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"pith_short_12","alias_value":"LCTQ5TOTHIBU","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"pith_short_16","alias_value":"LCTQ5TOTHIBUJ6ZJ","created_at":"2026-07-05T09:59:57Z"},{"alias_kind":"pith_short_8","alias_value":"LCTQ5TOT","created_at":"2026-07-05T09:59:57Z"}],"graph_snapshots":[{"event_id":"sha256:be2ed713024a3342e0805179a5fb2f594cfdbdaa0d1fa58d0bb7c1e614f5c2a2","target":"graph","created_at":"2026-07-05T09:59:57Z","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/2412.16435/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) have exhibited remarkable efficacy in diverse graph learning tasks, particularly on static homophilic graphs. Recent attention has pivoted towards more intricate structures, encompassing (1) static heterophilic graphs encountering the edge heterophily issue in the spatial domain and (2) event-based continuous graphs in the temporal domain. State-of-the-art (SOTA) has been concurrently addressing these two lines of work but tends to overlook the presence of heterophily in the temporal domain, constituting the temporal heterophily issue. Furthermore, we highlight tha","authors_text":"Hanghang Tong, Huiyuan Chen, Lihui Liu, Xiaoting Li, Yuchen Yan, Yuzhong Chen, Zhe Xu, Zhichen Zeng, Zhining Liu","cross_cats":["cs.IR","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-21T01:52:03Z","title":"THeGCN: Temporal Heterophilic Graph Convolutional Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16435","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":"sha256:3c069bdf1a4efa7c577edfd6f98fe4052d1a5f7793d2bb5c9a991840269edec3","target":"record","created_at":"2026-07-05T09:59:57Z","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":"f2cf48eaa73c9dca62089e4973f98538b52ff026302cbf91e075e0695ac230b9","cross_cats_sorted":["cs.IR","cs.SI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-21T01:52:03Z","title_canon_sha256":"d357a8d4892f55bfd68710a34b71179d345d1158d274f6ee5a483da5a4dd5a2e"},"schema_version":"1.0","source":{"id":"2412.16435","kind":"arxiv","version":2}},"canonical_sha256":"58a70ecdd33a0344fb29fc3374e73a953cf0126380458d1d8978f80b9fa14346","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58a70ecdd33a0344fb29fc3374e73a953cf0126380458d1d8978f80b9fa14346","first_computed_at":"2026-07-05T09:59:57.637957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:57.637957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"++OS2qP2+DpC2zL0Gdkcb1PdTmX8vJVFMZPWJjma5VE0d9568ZNlp41sCBHgIv8EjhEYvoDPifWtbW8SVzFlAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:57.638545Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16435","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3c069bdf1a4efa7c577edfd6f98fe4052d1a5f7793d2bb5c9a991840269edec3","sha256:be2ed713024a3342e0805179a5fb2f594cfdbdaa0d1fa58d0bb7c1e614f5c2a2"],"state_sha256":"67d91cb1cc2b481a15f9bb6785477206780f88784df50772af682b2e7ae1a005"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hVT0D1ZHjcNhTGfZ30n2BlauhNf29/V5/1WwTOyRRMT1lIGYDNO2xrIRasXhmVEkMV7InFkFS/3GWItx+6/XDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T14:26:46.692896Z","bundle_sha256":"bac6249352224b653afd1ac8313efd914400d45e871fffb6a7c6af19a3c73e9d"}}