{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AS2W6DWOBKYGYQCL34MRALZNWS","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":"dc3435225fe483e7bae113ee8ab961fef70a7411cfebea696fe41d43119bf846","cross_cats_sorted":["cs.AI","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-08-12T03:10:06Z","title_canon_sha256":"d1c0213ae31ab64ce8db05ae442169dc02bbaa8fd1c2bc060de59d76ff9d07fc"},"schema_version":"1.0","source":{"id":"2508.20102","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20102","created_at":"2026-07-05T12:00:29Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20102v1","created_at":"2026-07-05T12:00:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20102","created_at":"2026-07-05T12:00:29Z"},{"alias_kind":"pith_short_12","alias_value":"AS2W6DWOBKYG","created_at":"2026-07-05T12:00:29Z"},{"alias_kind":"pith_short_16","alias_value":"AS2W6DWOBKYGYQCL","created_at":"2026-07-05T12:00:29Z"},{"alias_kind":"pith_short_8","alias_value":"AS2W6DWO","created_at":"2026-07-05T12:00:29Z"}],"graph_snapshots":[{"event_id":"sha256:aaf12bb31fe0cc05617fea3c672cf7ec367880e6d4c401a5a12c011f3b91437c","target":"graph","created_at":"2026-07-05T12:00:29Z","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/2508.20102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Signal control in urban corridors faces the dual challenge of maintaining arterial traffic progression while adapting to demand variations at local intersections. We propose a hierarchical traffic signal coordination and control scheme that integrates model-based optimization with reinforcement learning. The system consists of: (i) a High-Level Coordinator (HLC) that selects coordination strategies based on observed and predicted demand; (ii) a Corridor Coordinator that derives phase constraints from the selected strategy-either Max-Flow Coordination (MFC) or Green-Wave Coordination (GWC); and","authors_text":"H. Michael Zhang, Shenyang Chen, Xianyue Peng","cross_cats":["cs.AI","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-08-12T03:10:06Z","title":"A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20102","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":"sha256:6202f776d8c24c9b00a33aeb703e049214a655f316c05ef6381bae544507df6c","target":"record","created_at":"2026-07-05T12:00:29Z","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":"dc3435225fe483e7bae113ee8ab961fef70a7411cfebea696fe41d43119bf846","cross_cats_sorted":["cs.AI","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-08-12T03:10:06Z","title_canon_sha256":"d1c0213ae31ab64ce8db05ae442169dc02bbaa8fd1c2bc060de59d76ff9d07fc"},"schema_version":"1.0","source":{"id":"2508.20102","kind":"arxiv","version":1}},"canonical_sha256":"04b56f0ece0ab06c404bdf19102f2db48021d81f226678852e7f4de022d3ec4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"04b56f0ece0ab06c404bdf19102f2db48021d81f226678852e7f4de022d3ec4c","first_computed_at":"2026-07-05T12:00:29.461782Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:29.461782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UtAA/FhzRWZDr9aNNHcLwXfQjJG3gqiSqXuZ/7KNyae8BkBhWDXrEVvEQcspEeOKx9U56CocFnIOhvCbsNeeAA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:29.462354Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20102","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6202f776d8c24c9b00a33aeb703e049214a655f316c05ef6381bae544507df6c","sha256:aaf12bb31fe0cc05617fea3c672cf7ec367880e6d4c401a5a12c011f3b91437c"],"state_sha256":"05b98ec6c356ee5012fc1be089c7d78037c372305a85d13feab6f6585abad1c3"}