{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CHTUFBSLNAD3UXC7BW2A5V6XPP","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1c7f2ea9a14ce4d2b04b82bf8af366b3e31352e741803bafaf1fd5ccba891f29","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-04T04:45:54Z","title_canon_sha256":"e73c546a7e9868824cd0bdec8c5a068c63a5a037cde1429047cb60dbbba3f1d5"},"schema_version":"1.0","source":{"id":"2607.03703","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.03703","created_at":"2026-07-07T02:18:02Z"},{"alias_kind":"arxiv_version","alias_value":"2607.03703v1","created_at":"2026-07-07T02:18:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03703","created_at":"2026-07-07T02:18:02Z"},{"alias_kind":"pith_short_12","alias_value":"CHTUFBSLNAD3","created_at":"2026-07-07T02:18:02Z"},{"alias_kind":"pith_short_16","alias_value":"CHTUFBSLNAD3UXC7","created_at":"2026-07-07T02:18:02Z"},{"alias_kind":"pith_short_8","alias_value":"CHTUFBSL","created_at":"2026-07-07T02:18:02Z"}],"graph_snapshots":[{"event_id":"sha256:ef64f2770edd4cba7c919190ccba7f92428cc2220c7c37f710ccb5ccf1be1668","target":"graph","created_at":"2026-07-07T02:18:02Z","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/2607.03703/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reinforcement Learning (RL) has emerged as a powerful paradigm for adaptive traffic signal control. However, in safety-critical infrastructure like traffic control, the opaque, black-box nature of deep RL models poses challenges for transportation agency acceptance, regulatory compliance, operational trust, troubleshooting, and fine-tuning. To bridge this gap between high-performance optimization and human-comprehensible interpretability, this effort introduces a novel, explainable entity centric RL framework for safe and transparent traffic signal control. Rather than processing traffic state","authors_text":"Angshuman Guin, Dickens Kwesiga, Michael Hunter, Nishu Choudhary","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-04T04:45:54Z","title":"Explainable Reinforcement Learning for Adaptive Traffic Signal Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03703","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:f9d0c263b11365882d6850986466ed1f4c1b0aac501a98566b3cca70cae8254b","target":"record","created_at":"2026-07-07T02:18:02Z","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":"1c7f2ea9a14ce4d2b04b82bf8af366b3e31352e741803bafaf1fd5ccba891f29","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-04T04:45:54Z","title_canon_sha256":"e73c546a7e9868824cd0bdec8c5a068c63a5a037cde1429047cb60dbbba3f1d5"},"schema_version":"1.0","source":{"id":"2607.03703","kind":"arxiv","version":1}},"canonical_sha256":"11e742864b6807ba5c5f0db40ed7d77beb2bc41b9eaf137f520c0f320ac92e69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11e742864b6807ba5c5f0db40ed7d77beb2bc41b9eaf137f520c0f320ac92e69","first_computed_at":"2026-07-07T02:18:02.536492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:18:02.536492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QJQZPYzoQ4SnBkzR0UqHc+/pQg8xE8YHpLYtxZs3T54L1xEbGMgXLDeLvI+JHKUX9H9xZRq01EX2iwEy5iMtDg==","signature_status":"signed_v1","signed_at":"2026-07-07T02:18:02.537463Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.03703","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9d0c263b11365882d6850986466ed1f4c1b0aac501a98566b3cca70cae8254b","sha256:ef64f2770edd4cba7c919190ccba7f92428cc2220c7c37f710ccb5ccf1be1668","sha256:35cebec9ffcf0bce930fb2c25d2099458058c240bdd72db78173589d5ffdc7b2"],"state_sha256":"52fe4d507d68ab41cd4f679c82a6f3fcae911a34efd2206ce7341c3d7d5b5f9a"}