{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:E7YLFVYG4ILLC3B5OJF33JCDUB","short_pith_number":"pith:E7YLFVYG","canonical_record":{"source":{"id":"2311.03756","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T06:43:15Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"title_canon_sha256":"a585cfe1d635cf0817bd55082d7c735f015c7ec4b9e41c0b19da34d9b16a02d4","abstract_canon_sha256":"2ed26708a55f8e8bfa05d27598732126ac17a378bec5819f2e6cc9f15bbc6956"},"schema_version":"1.0"},"canonical_sha256":"27f0b2d706e216b16c3d724bbda443a06a7dcaf6444edf1a5918c0f45c1e32be","source":{"kind":"arxiv","id":"2311.03756","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.03756","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2311.03756v1","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.03756","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"E7YLFVYG4ILL","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"E7YLFVYG4ILLC3B5","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"E7YLFVYG","created_at":"2026-07-05T07:10:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:E7YLFVYG4ILLC3B5OJF33JCDUB","target":"record","payload":{"canonical_record":{"source":{"id":"2311.03756","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T06:43:15Z","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"title_canon_sha256":"a585cfe1d635cf0817bd55082d7c735f015c7ec4b9e41c0b19da34d9b16a02d4","abstract_canon_sha256":"2ed26708a55f8e8bfa05d27598732126ac17a378bec5819f2e6cc9f15bbc6956"},"schema_version":"1.0"},"canonical_sha256":"27f0b2d706e216b16c3d724bbda443a06a7dcaf6444edf1a5918c0f45c1e32be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:10:04.489759Z","signature_b64":"kISWH5RAB6KGdNNtbsmeq5xIC5qsb7dOh4k5LyG5ux7RRxAaCyzxZm3sMocbxMSS8dE5PxPTgZqA1NoM5nLoCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27f0b2d706e216b16c3d724bbda443a06a7dcaf6444edf1a5918c0f45c1e32be","last_reissued_at":"2026-07-05T07:10:04.489239Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:10:04.489239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.03756","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:10:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fDVGNu0FFtkJzX9xZ+wehW4ZKt103Ri2dAXOP6USQaEOffDKsA0JbwnzdScX0X6p4hVbWLtAbeRb0j49HioEBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T05:31:18.145914Z"},"content_sha256":"f5d10680972d1463e96aaed13e0320d81c5d3f59f31dc702e14d1dd2a0fef61c","schema_version":"1.0","event_id":"sha256:f5d10680972d1463e96aaed13e0320d81c5d3f59f31dc702e14d1dd2a0fef61c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:E7YLFVYG4ILLC3B5OJF33JCDUB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Bin Guo, Chau Yuen, Jun Zhang, Liang Wang, Tom H. Luan, Yao Zhang, Zhiwen Yu","submitted_at":"2023-11-07T06:43:15Z","abstract_excerpt":"This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffic lights and road networks, attaining controller adaptivity and scalability stands out as a primary challenge. Capturing the spatial-temporal correlation among traffic lights under the framework of Multi-Agent Reinforcement Learning (MARL) is a promising solution. Nevertheless, existing MARL algorithms ignore effective information aggregation which is fundamental for improving the learning capacity of decentralized a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03756","kind":"arxiv","version":1},"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/2311.03756/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":"2026-07-05T07:10:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g5HzzyZtpp0mN5B5skJsCXYrWdONetoZLBfsLSX5YKcUq0N8geCxuJcqUssO5f9hQcjaFEe3Acg3SA7fuc/gDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T05:31:18.146422Z"},"content_sha256":"9ec79bfb28a96d51103d61be20c881b467af8a0a67b9466c656c59be16494557","schema_version":"1.0","event_id":"sha256:9ec79bfb28a96d51103d61be20c881b467af8a0a67b9466c656c59be16494557"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E7YLFVYG4ILLC3B5OJF33JCDUB/bundle.json","state_url":"https://pith.science/pith/E7YLFVYG4ILLC3B5OJF33JCDUB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E7YLFVYG4ILLC3B5OJF33JCDUB/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":"2026-08-11T05:31:18Z","links":{"resolver":"https://pith.science/pith/E7YLFVYG4ILLC3B5OJF33JCDUB","bundle":"https://pith.science/pith/E7YLFVYG4ILLC3B5OJF33JCDUB/bundle.json","state":"https://pith.science/pith/E7YLFVYG4ILLC3B5OJF33JCDUB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E7YLFVYG4ILLC3B5OJF33JCDUB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E7YLFVYG4ILLC3B5OJF33JCDUB","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":"2ed26708a55f8e8bfa05d27598732126ac17a378bec5819f2e6cc9f15bbc6956","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T06:43:15Z","title_canon_sha256":"a585cfe1d635cf0817bd55082d7c735f015c7ec4b9e41c0b19da34d9b16a02d4"},"schema_version":"1.0","source":{"id":"2311.03756","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.03756","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2311.03756v1","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.03756","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"E7YLFVYG4ILL","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"E7YLFVYG4ILLC3B5","created_at":"2026-07-05T07:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"E7YLFVYG","created_at":"2026-07-05T07:10:04Z"}],"graph_snapshots":[{"event_id":"sha256:9ec79bfb28a96d51103d61be20c881b467af8a0a67b9466c656c59be16494557","target":"graph","created_at":"2026-07-05T07:10:04Z","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/2311.03756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper considers optimal traffic signal control in smart cities, which has been taken as a complex networked system control problem. Given the interacting dynamics among traffic lights and road networks, attaining controller adaptivity and scalability stands out as a primary challenge. Capturing the spatial-temporal correlation among traffic lights under the framework of Multi-Agent Reinforcement Learning (MARL) is a promising solution. Nevertheless, existing MARL algorithms ignore effective information aggregation which is fundamental for improving the learning capacity of decentralized a","authors_text":"Bin Guo, Chau Yuen, Jun Zhang, Liang Wang, Tom H. Luan, Yao Zhang, Zhiwen Yu","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T06:43:15Z","title":"Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.03756","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:f5d10680972d1463e96aaed13e0320d81c5d3f59f31dc702e14d1dd2a0fef61c","target":"record","created_at":"2026-07-05T07:10:04Z","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":"2ed26708a55f8e8bfa05d27598732126ac17a378bec5819f2e6cc9f15bbc6956","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-07T06:43:15Z","title_canon_sha256":"a585cfe1d635cf0817bd55082d7c735f015c7ec4b9e41c0b19da34d9b16a02d4"},"schema_version":"1.0","source":{"id":"2311.03756","kind":"arxiv","version":1}},"canonical_sha256":"27f0b2d706e216b16c3d724bbda443a06a7dcaf6444edf1a5918c0f45c1e32be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27f0b2d706e216b16c3d724bbda443a06a7dcaf6444edf1a5918c0f45c1e32be","first_computed_at":"2026-07-05T07:10:04.489239Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:10:04.489239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kISWH5RAB6KGdNNtbsmeq5xIC5qsb7dOh4k5LyG5ux7RRxAaCyzxZm3sMocbxMSS8dE5PxPTgZqA1NoM5nLoCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:10:04.489759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.03756","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f5d10680972d1463e96aaed13e0320d81c5d3f59f31dc702e14d1dd2a0fef61c","sha256:9ec79bfb28a96d51103d61be20c881b467af8a0a67b9466c656c59be16494557"],"state_sha256":"3df33811f925b74393e0a1fb2b7a9bff32edce076e8560c7386cf3ba6516a047"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GNQFr/rJdVI6wcDiKGICeDBV7qpYTDTUbnCBGzTitKpEdlmPZ3IGOfEpajbQneVfJuO/My1VgGstxTboNgLZDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T05:31:18.150141Z","bundle_sha256":"af9d917dfbc5a171051a1a229bd7400494f838e79e1513577d35b1740702c19e"}}