{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QIOY5G74JGQQRB6IDFUPBVTGLD","short_pith_number":"pith:QIOY5G74","canonical_record":{"source":{"id":"2401.08727","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-16T14:22:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4236bfe498debf675c378175c98e94239adc5751246a258a2668b3b4183689e1","abstract_canon_sha256":"a85fc3013c329f877250aeadfa39065e2ebc4c5dc29dcb6acfccd7af68cedaff"},"schema_version":"1.0"},"canonical_sha256":"821d8e9bfc49a10887c81968f0d66658f0ad33c30569b4e16452e33cac7835a3","source":{"kind":"arxiv","id":"2401.08727","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08727","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08727v2","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08727","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"pith_short_12","alias_value":"QIOY5G74JGQQ","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"pith_short_16","alias_value":"QIOY5G74JGQQRB6I","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"pith_short_8","alias_value":"QIOY5G74","created_at":"2026-07-05T07:34:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QIOY5G74JGQQRB6IDFUPBVTGLD","target":"record","payload":{"canonical_record":{"source":{"id":"2401.08727","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-16T14:22:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4236bfe498debf675c378175c98e94239adc5751246a258a2668b3b4183689e1","abstract_canon_sha256":"a85fc3013c329f877250aeadfa39065e2ebc4c5dc29dcb6acfccd7af68cedaff"},"schema_version":"1.0"},"canonical_sha256":"821d8e9bfc49a10887c81968f0d66658f0ad33c30569b4e16452e33cac7835a3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:34:55.630650Z","signature_b64":"pp1SZ13N6NR+HF4j+bhD3EdX0Y63UexLbeTCdFDV5WppVz5k6hcYV38DnG5Jp9QYpVTyDyYlQYAUKeS8ArYcCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"821d8e9bfc49a10887c81968f0d66658f0ad33c30569b4e16452e33cac7835a3","last_reissued_at":"2026-07-05T07:34:55.630208Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:34:55.630208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.08727","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":"2026-07-05T07:34:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6uovGzLVCO4Gqh5MdpMNcUPeikiPHgDxNJBnmN1S2/AQYGMgjytcaxZykwKluTv2lNfEsHpBJrcPv9FV8AK3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:11:25.649689Z"},"content_sha256":"e63199d818a6d839e5b348a8c9f049b329cd59546495ffb1911cb4f18e804064","schema_version":"1.0","event_id":"sha256:e63199d818a6d839e5b348a8c9f049b329cd59546495ffb1911cb4f18e804064"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QIOY5G74JGQQRB6IDFUPBVTGLD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MA2GCN: Multi Adjacency relationship Attention Graph Convolutional Networks for Traffic Prediction using Trajectory data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Yuliang Ma, Zhengke Sun","submitted_at":"2024-01-16T14:22:44Z","abstract_excerpt":"The problem of traffic congestion not only causes a large amount of economic losses, but also seriously endangers the urban environment. Predicting traffic congestion has important practical significance. So far, most studies have been based on historical data from sensors placed on different roads to predict future traffic flow and speed, to analyze the traffic congestion conditions of a certain road segment. However, due to the fixed position of sensors, it is difficult to mine new information. On the other hand, vehicle trajectory data is more flexible and can extract traffic information as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08727","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/2401.08727/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":"2026-07-05T07:34:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UNJSRf8W7ASbAyoQJjJ3pgZ/uVvmbN4b3SxxU/AHRisG1HM+nA0i+Ca2fRWUthXQ2cTIn7srk8NBMz6zFof/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T03:11:25.650061Z"},"content_sha256":"27516f786916cdd90b1553f49bce7e702f49535e4e2616a07d579dfdca0deba4","schema_version":"1.0","event_id":"sha256:27516f786916cdd90b1553f49bce7e702f49535e4e2616a07d579dfdca0deba4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QIOY5G74JGQQRB6IDFUPBVTGLD/bundle.json","state_url":"https://pith.science/pith/QIOY5G74JGQQRB6IDFUPBVTGLD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QIOY5G74JGQQRB6IDFUPBVTGLD/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":"2026-07-09T03:11:25Z","links":{"resolver":"https://pith.science/pith/QIOY5G74JGQQRB6IDFUPBVTGLD","bundle":"https://pith.science/pith/QIOY5G74JGQQRB6IDFUPBVTGLD/bundle.json","state":"https://pith.science/pith/QIOY5G74JGQQRB6IDFUPBVTGLD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QIOY5G74JGQQRB6IDFUPBVTGLD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QIOY5G74JGQQRB6IDFUPBVTGLD","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":"a85fc3013c329f877250aeadfa39065e2ebc4c5dc29dcb6acfccd7af68cedaff","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-16T14:22:44Z","title_canon_sha256":"4236bfe498debf675c378175c98e94239adc5751246a258a2668b3b4183689e1"},"schema_version":"1.0","source":{"id":"2401.08727","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08727","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08727v2","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08727","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"pith_short_12","alias_value":"QIOY5G74JGQQ","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"pith_short_16","alias_value":"QIOY5G74JGQQRB6I","created_at":"2026-07-05T07:34:55Z"},{"alias_kind":"pith_short_8","alias_value":"QIOY5G74","created_at":"2026-07-05T07:34:55Z"}],"graph_snapshots":[{"event_id":"sha256:27516f786916cdd90b1553f49bce7e702f49535e4e2616a07d579dfdca0deba4","target":"graph","created_at":"2026-07-05T07:34:55Z","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/2401.08727/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The problem of traffic congestion not only causes a large amount of economic losses, but also seriously endangers the urban environment. Predicting traffic congestion has important practical significance. So far, most studies have been based on historical data from sensors placed on different roads to predict future traffic flow and speed, to analyze the traffic congestion conditions of a certain road segment. However, due to the fixed position of sensors, it is difficult to mine new information. On the other hand, vehicle trajectory data is more flexible and can extract traffic information as","authors_text":"Yuliang Ma, Zhengke Sun","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-16T14:22:44Z","title":"MA2GCN: Multi Adjacency relationship Attention Graph Convolutional Networks for Traffic Prediction using Trajectory data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08727","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:e63199d818a6d839e5b348a8c9f049b329cd59546495ffb1911cb4f18e804064","target":"record","created_at":"2026-07-05T07:34:55Z","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":"a85fc3013c329f877250aeadfa39065e2ebc4c5dc29dcb6acfccd7af68cedaff","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-16T14:22:44Z","title_canon_sha256":"4236bfe498debf675c378175c98e94239adc5751246a258a2668b3b4183689e1"},"schema_version":"1.0","source":{"id":"2401.08727","kind":"arxiv","version":2}},"canonical_sha256":"821d8e9bfc49a10887c81968f0d66658f0ad33c30569b4e16452e33cac7835a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"821d8e9bfc49a10887c81968f0d66658f0ad33c30569b4e16452e33cac7835a3","first_computed_at":"2026-07-05T07:34:55.630208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:55.630208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pp1SZ13N6NR+HF4j+bhD3EdX0Y63UexLbeTCdFDV5WppVz5k6hcYV38DnG5Jp9QYpVTyDyYlQYAUKeS8ArYcCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:55.630650Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.08727","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e63199d818a6d839e5b348a8c9f049b329cd59546495ffb1911cb4f18e804064","sha256:27516f786916cdd90b1553f49bce7e702f49535e4e2616a07d579dfdca0deba4"],"state_sha256":"b61fffb15c35150789331e943370363c9b76859f9ee378d2323d4b43802e66c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fx+xGbXaweX12JgNUy9h1XtPNJEu/GW4Ly0jxP3Q3vP9ylFl4rE9IX1XNvBg74zemE2poKa8cB3Wx4W6gVJAAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T03:11:25.652534Z","bundle_sha256":"bfef64f52d51b3ee2a78a33213819d465fa3ee9d5e6090196b552ecc6ff7881c"}}