{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:5E2AB3L2354UDUJO2OH47UYM3B","short_pith_number":"pith:5E2AB3L2","canonical_record":{"source":{"id":"1905.05717","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2019-05-11T17:26:11Z","cross_cats_sorted":["cs.GT","cs.LG"],"title_canon_sha256":"d5c875b6e5593efc5958d4ed6a24a76ffd2ceb365ddeb0640cea12d9749013b2","abstract_canon_sha256":"359facf206738d3e4397ef3bcde96a4bf04535fb7efdb7ded4022347964a103f"},"schema_version":"1.0"},"canonical_sha256":"e93400ed7adf7941d12ed38fcfd30cd864a70d2708a420327700ddb65587749b","source":{"kind":"arxiv","id":"1905.05717","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.05717","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"arxiv_version","alias_value":"1905.05717v2","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.05717","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"pith_short_12","alias_value":"5E2AB3L2354U","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"pith_short_16","alias_value":"5E2AB3L2354UDUJO","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"pith_short_8","alias_value":"5E2AB3L2","created_at":"2026-07-05T00:17:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:5E2AB3L2354UDUJO2OH47UYM3B","target":"record","payload":{"canonical_record":{"source":{"id":"1905.05717","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2019-05-11T17:26:11Z","cross_cats_sorted":["cs.GT","cs.LG"],"title_canon_sha256":"d5c875b6e5593efc5958d4ed6a24a76ffd2ceb365ddeb0640cea12d9749013b2","abstract_canon_sha256":"359facf206738d3e4397ef3bcde96a4bf04535fb7efdb7ded4022347964a103f"},"schema_version":"1.0"},"canonical_sha256":"e93400ed7adf7941d12ed38fcfd30cd864a70d2708a420327700ddb65587749b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:17:03.493290Z","signature_b64":"zvkgmQMqSzcu7NYOurONXi9hBVZkCRxMJQiG+ftizIqAeZg729vlehsE+nfQ0/vLd+kCr6ANnpZC73ZK8/LqAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e93400ed7adf7941d12ed38fcfd30cd864a70d2708a420327700ddb65587749b","last_reissued_at":"2026-07-05T00:17:03.492760Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:17:03.492760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.05717","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":"2026-07-05T00:17:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AZO3xzeeO4J2efFUjP6i//4TvVpXFw+JG/0dEFbipOHJ9eFODf//I1wouGqkt9IEBVY6KrmmwtmpUBQ3+NnbBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:56:20.154572Z"},"content_sha256":"e57163eb273159c3fdb41ca91dd42c2c79843b339dec9f4a5a9b81fa8ff94ccb","schema_version":"1.0","event_id":"sha256:e57163eb273159c3fdb41ca91dd42c2c79843b339dec9f4a5a9b81fa8ff94ccb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:5E2AB3L2354UDUJO2OH47UYM3B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoLight: Learning Network-level Cooperation for Traffic Signal Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GT","cs.LG"],"primary_cat":"cs.MA","authors_text":"Chacha Chen, Guanjie Zheng, Hua Wei, Huichu Zhang, Kai Xu, Nan Xu, Weinan Zhang, Xinshi Zang, Yanmin Zhu, Zhenhui Li","submitted_at":"2019-05-11T17:26:11Z","abstract_excerpt":"Cooperation among the traffic signals enables vehicles to move through intersections more quickly. Conventional transportation approaches implement cooperation by pre-calculating the offsets between two intersections. Such pre-calculated offsets are not suitable for dynamic traffic environments. To enable cooperation of traffic signals, in this paper, we propose a model, CoLight, which uses graph attentional networks to facilitate communication. Specifically, for a target intersection in a network, CoLight can not only incorporate the temporal and spatial influences of neighboring intersection"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.05717","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/1905.05717/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":"2026-07-05T00:17:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MN5uvn3bG+ICamrspDcp4hiXySMzBmcNiqMQSxTdX3oIyBqvmTEOFwlp9WHToijC25PxDNtmIVhGH8utaGz6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:56:20.155200Z"},"content_sha256":"2d374c377605d0aa092afd7e032c77c6e8d26cbcbbea7281517beae04f602497","schema_version":"1.0","event_id":"sha256:2d374c377605d0aa092afd7e032c77c6e8d26cbcbbea7281517beae04f602497"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5E2AB3L2354UDUJO2OH47UYM3B/bundle.json","state_url":"https://pith.science/pith/5E2AB3L2354UDUJO2OH47UYM3B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5E2AB3L2354UDUJO2OH47UYM3B/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":"2026-07-05T15:56:20Z","links":{"resolver":"https://pith.science/pith/5E2AB3L2354UDUJO2OH47UYM3B","bundle":"https://pith.science/pith/5E2AB3L2354UDUJO2OH47UYM3B/bundle.json","state":"https://pith.science/pith/5E2AB3L2354UDUJO2OH47UYM3B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5E2AB3L2354UDUJO2OH47UYM3B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:5E2AB3L2354UDUJO2OH47UYM3B","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":"359facf206738d3e4397ef3bcde96a4bf04535fb7efdb7ded4022347964a103f","cross_cats_sorted":["cs.GT","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2019-05-11T17:26:11Z","title_canon_sha256":"d5c875b6e5593efc5958d4ed6a24a76ffd2ceb365ddeb0640cea12d9749013b2"},"schema_version":"1.0","source":{"id":"1905.05717","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.05717","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"arxiv_version","alias_value":"1905.05717v2","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.05717","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"pith_short_12","alias_value":"5E2AB3L2354U","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"pith_short_16","alias_value":"5E2AB3L2354UDUJO","created_at":"2026-07-05T00:17:03Z"},{"alias_kind":"pith_short_8","alias_value":"5E2AB3L2","created_at":"2026-07-05T00:17:03Z"}],"graph_snapshots":[{"event_id":"sha256:2d374c377605d0aa092afd7e032c77c6e8d26cbcbbea7281517beae04f602497","target":"graph","created_at":"2026-07-05T00:17:03Z","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/1905.05717/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cooperation among the traffic signals enables vehicles to move through intersections more quickly. Conventional transportation approaches implement cooperation by pre-calculating the offsets between two intersections. Such pre-calculated offsets are not suitable for dynamic traffic environments. To enable cooperation of traffic signals, in this paper, we propose a model, CoLight, which uses graph attentional networks to facilitate communication. Specifically, for a target intersection in a network, CoLight can not only incorporate the temporal and spatial influences of neighboring intersection","authors_text":"Chacha Chen, Guanjie Zheng, Hua Wei, Huichu Zhang, Kai Xu, Nan Xu, Weinan Zhang, Xinshi Zang, Yanmin Zhu, Zhenhui Li","cross_cats":["cs.GT","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2019-05-11T17:26:11Z","title":"CoLight: Learning Network-level Cooperation for Traffic Signal Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.05717","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:e57163eb273159c3fdb41ca91dd42c2c79843b339dec9f4a5a9b81fa8ff94ccb","target":"record","created_at":"2026-07-05T00:17:03Z","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":"359facf206738d3e4397ef3bcde96a4bf04535fb7efdb7ded4022347964a103f","cross_cats_sorted":["cs.GT","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2019-05-11T17:26:11Z","title_canon_sha256":"d5c875b6e5593efc5958d4ed6a24a76ffd2ceb365ddeb0640cea12d9749013b2"},"schema_version":"1.0","source":{"id":"1905.05717","kind":"arxiv","version":2}},"canonical_sha256":"e93400ed7adf7941d12ed38fcfd30cd864a70d2708a420327700ddb65587749b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e93400ed7adf7941d12ed38fcfd30cd864a70d2708a420327700ddb65587749b","first_computed_at":"2026-07-05T00:17:03.492760Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:17:03.492760Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zvkgmQMqSzcu7NYOurONXi9hBVZkCRxMJQiG+ftizIqAeZg729vlehsE+nfQ0/vLd+kCr6ANnpZC73ZK8/LqAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:17:03.493290Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.05717","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e57163eb273159c3fdb41ca91dd42c2c79843b339dec9f4a5a9b81fa8ff94ccb","sha256:2d374c377605d0aa092afd7e032c77c6e8d26cbcbbea7281517beae04f602497"],"state_sha256":"375291c625ef15fb69c3f650b71e0153534b117c394a32efca90d097952aa3de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v3tclOEH62uo3AM/DzPhi/CQXuc9r07edcIzT8Glgq1NDl4ye9Y51r8QwLWaYHyzv4CtNWSUFpi6aeH5m8oKDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T15:56:20.158482Z","bundle_sha256":"27788f602549377bdccec52ad0b9a1bb1b1a795aac12acf5848ca252009b26c2"}}