{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:722XUOW3G4A3JMOXDUVJ63T2EL","short_pith_number":"pith:722XUOW3","schema_version":"1.0","canonical_sha256":"feb57a3adb3701b4b1d71d2a9f6e7a22ef7a63966b0aaae0b16792b4576a0cdd","source":{"kind":"arxiv","id":"1408.1437","version":2},"attestation_state":"computed","paper":{"title":"Traffic Network Control from Temporal Logic Specifications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.DS"],"primary_cat":"cs.SY","authors_text":"Calin Belta, Ebru Aydin Gol, Murat Arcak, Samuel Coogan","submitted_at":"2014-08-06T22:09:49Z","abstract_excerpt":"We propose a framework for generating a signal control policy for a traffic network of signalized intersections to accomplish control objectives expressible using linear temporal logic. By applying techniques from model checking and formal methods, we obtain a correct-by-construction controller that is guaranteed to satisfy complex specifications. To apply these tools, we identify and exploit structural properties particular to traffic networks that allow for efficient computation of a finite state abstraction. In particular, traffic networks exhibit a componentwise monotonicity property which"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1408.1437","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2014-08-06T22:09:49Z","cross_cats_sorted":["math.DS"],"title_canon_sha256":"afa7ea57dc293942d683d92a77dc4a224f3996de8fb104b36e6623b5f60ef4ec","abstract_canon_sha256":"16b55dad209f15719320cc6e8bb4aa2004e32072ddb51d79656a66c1f5b835cb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:12:01.944080Z","signature_b64":"aFmsom9gR6UcGvgxliwjLfRDdWeGcCQ9XffL+if/omTJrPsiIX4dNrTPRh8asio5nim6cc+i1yofjKPvrWHeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"feb57a3adb3701b4b1d71d2a9f6e7a22ef7a63966b0aaae0b16792b4576a0cdd","last_reissued_at":"2026-05-18T01:12:01.943682Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:12:01.943682Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Traffic Network Control from Temporal Logic Specifications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.DS"],"primary_cat":"cs.SY","authors_text":"Calin Belta, Ebru Aydin Gol, Murat Arcak, Samuel Coogan","submitted_at":"2014-08-06T22:09:49Z","abstract_excerpt":"We propose a framework for generating a signal control policy for a traffic network of signalized intersections to accomplish control objectives expressible using linear temporal logic. By applying techniques from model checking and formal methods, we obtain a correct-by-construction controller that is guaranteed to satisfy complex specifications. To apply these tools, we identify and exploit structural properties particular to traffic networks that allow for efficient computation of a finite state abstraction. In particular, traffic networks exhibit a componentwise monotonicity property which"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.1437","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1408.1437","created_at":"2026-05-18T01:12:01.943736+00:00"},{"alias_kind":"arxiv_version","alias_value":"1408.1437v2","created_at":"2026-05-18T01:12:01.943736+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.1437","created_at":"2026-05-18T01:12:01.943736+00:00"},{"alias_kind":"pith_short_12","alias_value":"722XUOW3G4A3","created_at":"2026-05-18T12:28:16.859392+00:00"},{"alias_kind":"pith_short_16","alias_value":"722XUOW3G4A3JMOX","created_at":"2026-05-18T12:28:16.859392+00:00"},{"alias_kind":"pith_short_8","alias_value":"722XUOW3","created_at":"2026-05-18T12:28:16.859392+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL","json":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL.json","graph_json":"https://pith.science/api/pith-number/722XUOW3G4A3JMOXDUVJ63T2EL/graph.json","events_json":"https://pith.science/api/pith-number/722XUOW3G4A3JMOXDUVJ63T2EL/events.json","paper":"https://pith.science/paper/722XUOW3"},"agent_actions":{"view_html":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL","download_json":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL.json","view_paper":"https://pith.science/paper/722XUOW3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1408.1437&json=true","fetch_graph":"https://pith.science/api/pith-number/722XUOW3G4A3JMOXDUVJ63T2EL/graph.json","fetch_events":"https://pith.science/api/pith-number/722XUOW3G4A3JMOXDUVJ63T2EL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL/action/storage_attestation","attest_author":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL/action/author_attestation","sign_citation":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL/action/citation_signature","submit_replication":"https://pith.science/pith/722XUOW3G4A3JMOXDUVJ63T2EL/action/replication_record"}},"created_at":"2026-05-18T01:12:01.943736+00:00","updated_at":"2026-05-18T01:12:01.943736+00:00"}