{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:WD5HR6OHCB5RUBTQFHASOEWGG2","short_pith_number":"pith:WD5HR6OH","schema_version":"1.0","canonical_sha256":"b0fa78f9c7107b1a067029c12712c6369b3261b9d60c0776c544c9d60025e1dc","source":{"kind":"arxiv","id":"1711.10941","version":1},"attestation_state":"computed","paper":{"title":"Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.SY","authors_text":"Lei Liu, Wei-Peng Chen, Ying Liu","submitted_at":"2017-11-29T16:23:38Z","abstract_excerpt":"The combination of Artificial Intelligence (AI) and Internet-of-Things (IoT), which is denoted as AI-powered Internet-of-Things (AIoT), is capable of processing huge amount of data generated from a large number of devices and handling complex problems in social infrastructures. As AI and IoT technologies are becoming mature, in this paper, we propose to apply AIoT technologies for traffic light control, which is an essential component for intelligent transportation system, to improve the efficiency of smart city's road system. Specifically, various sensors such as surveillance cameras provide "},"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":"1711.10941","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2017-11-29T16:23:38Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"5f64b7e11d3843368ec648ca8c4fb2762ae1ae4a5865b19db048d74232c27442","abstract_canon_sha256":"5d27e73aa840010da4aab2238522c95e84e0d0fcaa1ee7094fa052cf287aec58"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:16.402524Z","signature_b64":"keJe4uDUtdOjNybWYqFgV8IRUK72M8V25hICLgW5/nSBBI6VfsMHVUhzl+ipMZJqDtC55P1+5o0H6bB4i2H5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0fa78f9c7107b1a067029c12712c6369b3261b9d60c0776c544c9d60025e1dc","last_reissued_at":"2026-05-18T00:29:16.402006Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:16.402006Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Intelligent Traffic Light Control Using Distributed Multi-agent Q Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.SY","authors_text":"Lei Liu, Wei-Peng Chen, Ying Liu","submitted_at":"2017-11-29T16:23:38Z","abstract_excerpt":"The combination of Artificial Intelligence (AI) and Internet-of-Things (IoT), which is denoted as AI-powered Internet-of-Things (AIoT), is capable of processing huge amount of data generated from a large number of devices and handling complex problems in social infrastructures. As AI and IoT technologies are becoming mature, in this paper, we propose to apply AIoT technologies for traffic light control, which is an essential component for intelligent transportation system, to improve the efficiency of smart city's road system. Specifically, various sensors such as surveillance cameras provide "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.10941","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":""},"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":"1711.10941","created_at":"2026-05-18T00:29:16.402084+00:00"},{"alias_kind":"arxiv_version","alias_value":"1711.10941v1","created_at":"2026-05-18T00:29:16.402084+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.10941","created_at":"2026-05-18T00:29:16.402084+00:00"},{"alias_kind":"pith_short_12","alias_value":"WD5HR6OHCB5R","created_at":"2026-05-18T12:31:53.515858+00:00"},{"alias_kind":"pith_short_16","alias_value":"WD5HR6OHCB5RUBTQ","created_at":"2026-05-18T12:31:53.515858+00:00"},{"alias_kind":"pith_short_8","alias_value":"WD5HR6OH","created_at":"2026-05-18T12:31:53.515858+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/WD5HR6OHCB5RUBTQFHASOEWGG2","json":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2.json","graph_json":"https://pith.science/api/pith-number/WD5HR6OHCB5RUBTQFHASOEWGG2/graph.json","events_json":"https://pith.science/api/pith-number/WD5HR6OHCB5RUBTQFHASOEWGG2/events.json","paper":"https://pith.science/paper/WD5HR6OH"},"agent_actions":{"view_html":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2","download_json":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2.json","view_paper":"https://pith.science/paper/WD5HR6OH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1711.10941&json=true","fetch_graph":"https://pith.science/api/pith-number/WD5HR6OHCB5RUBTQFHASOEWGG2/graph.json","fetch_events":"https://pith.science/api/pith-number/WD5HR6OHCB5RUBTQFHASOEWGG2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2/action/storage_attestation","attest_author":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2/action/author_attestation","sign_citation":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2/action/citation_signature","submit_replication":"https://pith.science/pith/WD5HR6OHCB5RUBTQFHASOEWGG2/action/replication_record"}},"created_at":"2026-05-18T00:29:16.402084+00:00","updated_at":"2026-05-18T00:29:16.402084+00:00"}