{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2KLEGSHNLKV4SXHGJ2LSBDDCO7","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":"a96901a8bea25a2452557e040d4d8cf481341d3e817a8165469a30bd6322545d","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-27T19:10:21Z","title_canon_sha256":"bdb85571857dd7facd976c7c9d38dfaafaaf57bb2735df3fa60813f61ee30f53"},"schema_version":"1.0","source":{"id":"2408.15371","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.15371","created_at":"2026-07-05T09:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2408.15371v1","created_at":"2026-07-05T09:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.15371","created_at":"2026-07-05T09:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"2KLEGSHNLKV4","created_at":"2026-07-05T09:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"2KLEGSHNLKV4SXHG","created_at":"2026-07-05T09:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"2KLEGSHN","created_at":"2026-07-05T09:00:10Z"}],"graph_snapshots":[{"event_id":"sha256:fcefed551f798455a0e2b23e2973e54e05cc8b5b0493f0b20869e56a6756b37a","target":"graph","created_at":"2026-07-05T09:00:10Z","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/2408.15371/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to the rapid growth of scientific publications, identifying all related reference articles in the literature has become increasingly challenging yet highly demanding. Existing methods primarily assess candidate publications from a static perspective, focusing on the content of articles and their structural information, such as citation relationships. There is a lack of research regarding how to account for the evolving impact among papers on their embeddings. Toward this goal, this paper introduces a temporal dimension to paper recommendation strategies. The core idea is to continuously up","authors_text":"Beichen Hu, Cheng Huang, Jia Zhang, Junhao Shen, Mohammad Ausaf Ali Haqqani, Tsengdar Lee, Xihao Xie","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-27T19:10:21Z","title":"Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.15371","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":"sha256:5b20203204759f8dd45d6439744f5a0c2ca701633e8b78252f11279ca4f5f314","target":"record","created_at":"2026-07-05T09:00:10Z","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":"a96901a8bea25a2452557e040d4d8cf481341d3e817a8165469a30bd6322545d","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-27T19:10:21Z","title_canon_sha256":"bdb85571857dd7facd976c7c9d38dfaafaaf57bb2735df3fa60813f61ee30f53"},"schema_version":"1.0","source":{"id":"2408.15371","kind":"arxiv","version":1}},"canonical_sha256":"d2964348ed5aabc95ce64e97208c6277f783a4d285d4195cea44b5bb25491d00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2964348ed5aabc95ce64e97208c6277f783a4d285d4195cea44b5bb25491d00","first_computed_at":"2026-07-05T09:00:10.835960Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:10.835960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hMTtwSXaRqMCtN5+rRxQEXYJuhD238OS1ObzlkvUjqCDjARw5RWV9R4h2wWhA5NGrmgaERI2kq0PsBCMyR0rCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:10.836408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.15371","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b20203204759f8dd45d6439744f5a0c2ca701633e8b78252f11279ca4f5f314","sha256:fcefed551f798455a0e2b23e2973e54e05cc8b5b0493f0b20869e56a6756b37a"],"state_sha256":"3c1959a6afd8d8296080f0239ff162ff64da83a890bb77a58e3df9519969b6d1"}