{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:BH62DLN25YJEBQU6W4HJHXXXYR","short_pith_number":"pith:BH62DLN2","canonical_record":{"source":{"id":"2005.08665","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-15T04:22:18Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"4f606b1ad7d29631c9b1be199d7ed78329274fd0ecaeb9ee143207fc3bb27ced","abstract_canon_sha256":"1714f98c54289a2a06b5d57201813fd9ebbca8db9b8e0b86e12e2a39e7b57481"},"schema_version":"1.0"},"canonical_sha256":"09fda1adbaee1240c29eb70e93def7c445881f6fe8f108ecd7d0160c1bb26b69","source":{"kind":"arxiv","id":"2005.08665","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.08665","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"arxiv_version","alias_value":"2005.08665v2","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.08665","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"pith_short_12","alias_value":"BH62DLN25YJE","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"pith_short_16","alias_value":"BH62DLN25YJEBQU6","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"pith_short_8","alias_value":"BH62DLN2","created_at":"2026-07-05T02:44:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:BH62DLN25YJEBQU6W4HJHXXXYR","target":"record","payload":{"canonical_record":{"source":{"id":"2005.08665","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-15T04:22:18Z","cross_cats_sorted":["stat.AP","stat.ML"],"title_canon_sha256":"4f606b1ad7d29631c9b1be199d7ed78329274fd0ecaeb9ee143207fc3bb27ced","abstract_canon_sha256":"1714f98c54289a2a06b5d57201813fd9ebbca8db9b8e0b86e12e2a39e7b57481"},"schema_version":"1.0"},"canonical_sha256":"09fda1adbaee1240c29eb70e93def7c445881f6fe8f108ecd7d0160c1bb26b69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:44:48.686471Z","signature_b64":"cGMVGI9tomvVhPjicapNRyv/G3KppuYKmX77wlKPU1MStL7tjCb8egwOxwiXtvPogg/FgKfkICmzW7LJq7QhBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09fda1adbaee1240c29eb70e93def7c445881f6fe8f108ecd7d0160c1bb26b69","last_reissued_at":"2026-07-05T02:44:48.686023Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:44:48.686023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.08665","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":"2026-07-05T02:44:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HNdbganQgG2nBSMbJAqP6VFb36EqTppagq2ubG2MX39WmjSethZa3hU7w9Oqw6LZKdI7jvMLlEjkBDsp/HbCDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:02:01.477958Z"},"content_sha256":"ac18788f169cd9bd51feb2c3bd9bf65cc52eaa4ba7e94a637c7b85c44242a397","schema_version":"1.0","event_id":"sha256:ac18788f169cd9bd51feb2c3bd9bf65cc52eaa4ba7e94a637c7b85c44242a397"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:BH62DLN25YJEBQU6W4HJHXXXYR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP","stat.ML"],"primary_cat":"cs.LG","authors_text":"Minghe Zhang, Pascal Van Hentenryck, Ruyi Ding, Shixiang Zhu, Yao Xie","submitted_at":"2020-05-15T04:22:18Z","abstract_excerpt":"We present a novel framework for modeling traffic congestion events over road networks. Using multi-modal data by combining count data from traffic sensors with police reports that report traffic incidents, we aim to capture two types of triggering effect for congestion events. Current traffic congestion at one location may cause future congestion over the road network, and traffic incidents may cause spread traffic congestion. To model the non-homogeneous temporal dependence of the event on the past, we use a novel attention-based mechanism based on neural networks embedding for point process"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.08665","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/2005.08665/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":"2026-07-05T02:44:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LKUKOVP4vhX75UfLd4Ls+wdUA/DzMFw5Pg1auNoQFaqcz4dkQJIOFrzTiqYK4q4I+aMcdZAPHVjabr6iBfGeBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:02:01.478864Z"},"content_sha256":"464c891225493a451d8e92013ce54fce4cd4045e027f36c593520f5e0af34890","schema_version":"1.0","event_id":"sha256:464c891225493a451d8e92013ce54fce4cd4045e027f36c593520f5e0af34890"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BH62DLN25YJEBQU6W4HJHXXXYR/bundle.json","state_url":"https://pith.science/pith/BH62DLN25YJEBQU6W4HJHXXXYR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BH62DLN25YJEBQU6W4HJHXXXYR/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":"2026-08-15T23:02:01Z","links":{"resolver":"https://pith.science/pith/BH62DLN25YJEBQU6W4HJHXXXYR","bundle":"https://pith.science/pith/BH62DLN25YJEBQU6W4HJHXXXYR/bundle.json","state":"https://pith.science/pith/BH62DLN25YJEBQU6W4HJHXXXYR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BH62DLN25YJEBQU6W4HJHXXXYR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:BH62DLN25YJEBQU6W4HJHXXXYR","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":"1714f98c54289a2a06b5d57201813fd9ebbca8db9b8e0b86e12e2a39e7b57481","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-15T04:22:18Z","title_canon_sha256":"4f606b1ad7d29631c9b1be199d7ed78329274fd0ecaeb9ee143207fc3bb27ced"},"schema_version":"1.0","source":{"id":"2005.08665","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.08665","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"arxiv_version","alias_value":"2005.08665v2","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.08665","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"pith_short_12","alias_value":"BH62DLN25YJE","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"pith_short_16","alias_value":"BH62DLN25YJEBQU6","created_at":"2026-07-05T02:44:48Z"},{"alias_kind":"pith_short_8","alias_value":"BH62DLN2","created_at":"2026-07-05T02:44:48Z"}],"graph_snapshots":[{"event_id":"sha256:464c891225493a451d8e92013ce54fce4cd4045e027f36c593520f5e0af34890","target":"graph","created_at":"2026-07-05T02:44:48Z","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/2005.08665/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel framework for modeling traffic congestion events over road networks. Using multi-modal data by combining count data from traffic sensors with police reports that report traffic incidents, we aim to capture two types of triggering effect for congestion events. Current traffic congestion at one location may cause future congestion over the road network, and traffic incidents may cause spread traffic congestion. To model the non-homogeneous temporal dependence of the event on the past, we use a novel attention-based mechanism based on neural networks embedding for point process","authors_text":"Minghe Zhang, Pascal Van Hentenryck, Ruyi Ding, Shixiang Zhu, Yao Xie","cross_cats":["stat.AP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-15T04:22:18Z","title":"Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.08665","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:ac18788f169cd9bd51feb2c3bd9bf65cc52eaa4ba7e94a637c7b85c44242a397","target":"record","created_at":"2026-07-05T02:44:48Z","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":"1714f98c54289a2a06b5d57201813fd9ebbca8db9b8e0b86e12e2a39e7b57481","cross_cats_sorted":["stat.AP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-15T04:22:18Z","title_canon_sha256":"4f606b1ad7d29631c9b1be199d7ed78329274fd0ecaeb9ee143207fc3bb27ced"},"schema_version":"1.0","source":{"id":"2005.08665","kind":"arxiv","version":2}},"canonical_sha256":"09fda1adbaee1240c29eb70e93def7c445881f6fe8f108ecd7d0160c1bb26b69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09fda1adbaee1240c29eb70e93def7c445881f6fe8f108ecd7d0160c1bb26b69","first_computed_at":"2026-07-05T02:44:48.686023Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:48.686023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cGMVGI9tomvVhPjicapNRyv/G3KppuYKmX77wlKPU1MStL7tjCb8egwOxwiXtvPogg/FgKfkICmzW7LJq7QhBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:48.686471Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.08665","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac18788f169cd9bd51feb2c3bd9bf65cc52eaa4ba7e94a637c7b85c44242a397","sha256:464c891225493a451d8e92013ce54fce4cd4045e027f36c593520f5e0af34890"],"state_sha256":"e6f64d17b88c0611beb22ed12a7e8ef8b36f8de709db426d361ddec8f1059988"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ImSLG0rlG/rx2/ZVhajv54KJPcIugFWw8j/CoKCO+/4gcjTG7jmGDC2RPRyGWD/SOk905WhbZuRGOVKaf9JHBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T23:02:01.483691Z","bundle_sha256":"a5ada4e35c4f3f3a43c7e00d6587d82e737708be8dff5cdbb4bcf94229b0ac9a"}}