{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:63E2WRZI2GRAHQ27PLQ35YRKIE","short_pith_number":"pith:63E2WRZI","schema_version":"1.0","canonical_sha256":"f6c9ab4728d1a203c35f7ae1bee22a41183614c60bad819425d6caf529f7b801","source":{"kind":"arxiv","id":"1401.5851","version":1},"attestation_state":"computed","paper":{"title":"A Market-Inspired Approach for Intersection Management in Urban Road Traffic Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.GT","authors_text":"Matteo Vasirani, Sascha Ossowski","submitted_at":"2014-01-23T02:43:47Z","abstract_excerpt":"Traffic congestion in urban road networks is a costly problem that affects all major cities in developed countries. To tackle this problem, it is possible (i) to act on the supply side, increasing the number of roads or lanes in a network, (ii) to reduce the demand, restricting the access to urban areas at specific hours or to specific vehicles, or (iii) to improve the efficiency of the existing network, by means of a widespread use of so-called Intelligent Transportation Systems (ITS). In line with the recent advances in smart transportation management infrastructures, ITS has turned out to b"},"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":"1401.5851","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2014-01-23T02:43:47Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"163459a9d810e89d1da9edd15c4d4b9424b0ccbf996817299e93b651eae04700","abstract_canon_sha256":"f1db1c56a3f496397ccc58d6d3c5f30de0c30896ff6659bf0fbef3df91b3358b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:01:23.704327Z","signature_b64":"NLwMV2EBJNQC0SJPnVKopqUEtfJJdvFqSKPf4UeTeYdj9r6uP5CSbVvCyEDjdw/0h76nkNjHkpWCaCta1ItKDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6c9ab4728d1a203c35f7ae1bee22a41183614c60bad819425d6caf529f7b801","last_reissued_at":"2026-05-18T03:01:23.703658Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:01:23.703658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Market-Inspired Approach for Intersection Management in Urban Road Traffic Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.GT","authors_text":"Matteo Vasirani, Sascha Ossowski","submitted_at":"2014-01-23T02:43:47Z","abstract_excerpt":"Traffic congestion in urban road networks is a costly problem that affects all major cities in developed countries. To tackle this problem, it is possible (i) to act on the supply side, increasing the number of roads or lanes in a network, (ii) to reduce the demand, restricting the access to urban areas at specific hours or to specific vehicles, or (iii) to improve the efficiency of the existing network, by means of a widespread use of so-called Intelligent Transportation Systems (ITS). In line with the recent advances in smart transportation management infrastructures, ITS has turned out to b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.5851","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":"1401.5851","created_at":"2026-05-18T03:01:23.703748+00:00"},{"alias_kind":"arxiv_version","alias_value":"1401.5851v1","created_at":"2026-05-18T03:01:23.703748+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.5851","created_at":"2026-05-18T03:01:23.703748+00:00"},{"alias_kind":"pith_short_12","alias_value":"63E2WRZI2GRA","created_at":"2026-05-18T12:28:16.859392+00:00"},{"alias_kind":"pith_short_16","alias_value":"63E2WRZI2GRAHQ27","created_at":"2026-05-18T12:28:16.859392+00:00"},{"alias_kind":"pith_short_8","alias_value":"63E2WRZI","created_at":"2026-05-18T12:28:16.859392+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.08562","citing_title":"An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE","json":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE.json","graph_json":"https://pith.science/api/pith-number/63E2WRZI2GRAHQ27PLQ35YRKIE/graph.json","events_json":"https://pith.science/api/pith-number/63E2WRZI2GRAHQ27PLQ35YRKIE/events.json","paper":"https://pith.science/paper/63E2WRZI"},"agent_actions":{"view_html":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE","download_json":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE.json","view_paper":"https://pith.science/paper/63E2WRZI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1401.5851&json=true","fetch_graph":"https://pith.science/api/pith-number/63E2WRZI2GRAHQ27PLQ35YRKIE/graph.json","fetch_events":"https://pith.science/api/pith-number/63E2WRZI2GRAHQ27PLQ35YRKIE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE/action/storage_attestation","attest_author":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE/action/author_attestation","sign_citation":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE/action/citation_signature","submit_replication":"https://pith.science/pith/63E2WRZI2GRAHQ27PLQ35YRKIE/action/replication_record"}},"created_at":"2026-05-18T03:01:23.703748+00:00","updated_at":"2026-05-18T03:01:23.703748+00:00"}