{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:SNDH2SYZLJ3WO3EFGAKGT7XFEB","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":"93709329aed72442883af761e7af90ec82231d2046df5f890043afc73c70edef","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-11T07:48:43Z","title_canon_sha256":"7e355917913677a17aa1ad32eaed27053079cb02a2861a365fe0d3ec039de2e8"},"schema_version":"1.0","source":{"id":"1911.08415","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.08415","created_at":"2026-07-05T00:22:06Z"},{"alias_kind":"arxiv_version","alias_value":"1911.08415v2","created_at":"2026-07-05T00:22:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.08415","created_at":"2026-07-05T00:22:06Z"},{"alias_kind":"pith_short_12","alias_value":"SNDH2SYZLJ3W","created_at":"2026-07-05T00:22:06Z"},{"alias_kind":"pith_short_16","alias_value":"SNDH2SYZLJ3WO3EF","created_at":"2026-07-05T00:22:06Z"},{"alias_kind":"pith_short_8","alias_value":"SNDH2SYZ","created_at":"2026-07-05T00:22:06Z"}],"graph_snapshots":[{"event_id":"sha256:e739ca2a0d9968efa38cdd13dd59f06d0e60004284864873051d9776c3c046f4","target":"graph","created_at":"2026-07-05T00:22:06Z","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/1911.08415/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-term traffic prediction is highly challenging due to the complexity of traffic systems and the constantly changing nature of many impacting factors. In this paper, we focus on the spatio-temporal factors, and propose a graph multi-attention network (GMAN) to predict traffic conditions for time steps ahead at different locations on a road network graph. GMAN adapts an encoder-decoder architecture, where both the encoder and the decoder consist of multiple spatio-temporal attention blocks to model the impact of the spatio-temporal factors on traffic conditions. The encoder encodes the input","authors_text":"Cheng Wang, Chuanpan Zheng, Jianzhong Qi, Xiaoliang Fan","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-11T07:48:43Z","title":"GMAN: A Graph Multi-Attention Network for Traffic Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.08415","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:cfa1edb55037e4c0fd458137050d6203657965d1662261a4d894c2d8d9ba0877","target":"record","created_at":"2026-07-05T00:22:06Z","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":"93709329aed72442883af761e7af90ec82231d2046df5f890043afc73c70edef","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-11-11T07:48:43Z","title_canon_sha256":"7e355917913677a17aa1ad32eaed27053079cb02a2861a365fe0d3ec039de2e8"},"schema_version":"1.0","source":{"id":"1911.08415","kind":"arxiv","version":2}},"canonical_sha256":"93467d4b195a77676c85301469fee52078982a34e150878babd911df038f66ea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93467d4b195a77676c85301469fee52078982a34e150878babd911df038f66ea","first_computed_at":"2026-07-05T00:22:06.460833Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:22:06.460833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x/ekyF7MoDV52xUvyGNdrR5CiRjAKB5TwnBzYAzN8wTSXzYUE//LeKBbsuAxDaaMHwxgujeSc409avgMRECQAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:22:06.461236Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.08415","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cfa1edb55037e4c0fd458137050d6203657965d1662261a4d894c2d8d9ba0877","sha256:e739ca2a0d9968efa38cdd13dd59f06d0e60004284864873051d9776c3c046f4"],"state_sha256":"ca562f3c99a7aace1db9e93a181b821059b325a082355cc3b8ac68ce0d570d00"}