{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:WB5WHTYYU3ACOZARN7Y7SJVNO6","short_pith_number":"pith:WB5WHTYY","schema_version":"1.0","canonical_sha256":"b07b63cf18a6c02764116ff1f926ad779c02f99bb80faf277c37d2653b83c3ac","source":{"kind":"arxiv","id":"1412.4567","version":1},"attestation_state":"computed","paper":{"title":"An Effective Model for Traffic Dynamics and the Nature of the Congested Phase","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CG","physics.comp-ph"],"primary_cat":"nlin.AO","authors_text":"Bo Yang, Christopher Monterola","submitted_at":"2014-12-15T12:47:21Z","abstract_excerpt":"A simple algorithm for constructing an effective traffic model is presented. The algorithm uses statistically well-defined quantities extracted from the flow-density plot, and the resulting effective model naturally captures and predicts many quantitative and qualitative empirical features of the highway traffic, especially with the presence of an on-ramp bottleneck. The simplicity of the effective model provides strong evidence that stochasticity, diversity of vehicle types and modeling of complicated driving behaviors are \\emph{not} fundamental to many observations in the complex real traffi"},"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":"1412.4567","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.AO","submitted_at":"2014-12-15T12:47:21Z","cross_cats_sorted":["nlin.CG","physics.comp-ph"],"title_canon_sha256":"2c5c366574e86ab68500ae77d1ba3760b40d4c4aa17d6a0cf05b9d5ae0caffe6","abstract_canon_sha256":"1f30da675283dd593ff0686befd8d4b94f2ebb5b844a54430658c970e4a66929"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:31:18.806430Z","signature_b64":"fMnfsF8LQ1kJTnmuqIl/De6T7ICEHFiGrhnpSGtQaiFYw9GvC1/zsDIlJfo8potYFEKjF8jD8IbagCbm9CuYDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b07b63cf18a6c02764116ff1f926ad779c02f99bb80faf277c37d2653b83c3ac","last_reissued_at":"2026-05-18T02:31:18.805880Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:31:18.805880Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Effective Model for Traffic Dynamics and the Nature of the Congested Phase","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CG","physics.comp-ph"],"primary_cat":"nlin.AO","authors_text":"Bo Yang, Christopher Monterola","submitted_at":"2014-12-15T12:47:21Z","abstract_excerpt":"A simple algorithm for constructing an effective traffic model is presented. The algorithm uses statistically well-defined quantities extracted from the flow-density plot, and the resulting effective model naturally captures and predicts many quantitative and qualitative empirical features of the highway traffic, especially with the presence of an on-ramp bottleneck. The simplicity of the effective model provides strong evidence that stochasticity, diversity of vehicle types and modeling of complicated driving behaviors are \\emph{not} fundamental to many observations in the complex real traffi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.4567","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":"1412.4567","created_at":"2026-05-18T02:31:18.805978+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.4567v1","created_at":"2026-05-18T02:31:18.805978+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.4567","created_at":"2026-05-18T02:31:18.805978+00:00"},{"alias_kind":"pith_short_12","alias_value":"WB5WHTYYU3AC","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_16","alias_value":"WB5WHTYYU3ACOZAR","created_at":"2026-05-18T12:28:54.890064+00:00"},{"alias_kind":"pith_short_8","alias_value":"WB5WHTYY","created_at":"2026-05-18T12:28:54.890064+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/WB5WHTYYU3ACOZARN7Y7SJVNO6","json":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6.json","graph_json":"https://pith.science/api/pith-number/WB5WHTYYU3ACOZARN7Y7SJVNO6/graph.json","events_json":"https://pith.science/api/pith-number/WB5WHTYYU3ACOZARN7Y7SJVNO6/events.json","paper":"https://pith.science/paper/WB5WHTYY"},"agent_actions":{"view_html":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6","download_json":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6.json","view_paper":"https://pith.science/paper/WB5WHTYY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.4567&json=true","fetch_graph":"https://pith.science/api/pith-number/WB5WHTYYU3ACOZARN7Y7SJVNO6/graph.json","fetch_events":"https://pith.science/api/pith-number/WB5WHTYYU3ACOZARN7Y7SJVNO6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6/action/storage_attestation","attest_author":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6/action/author_attestation","sign_citation":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6/action/citation_signature","submit_replication":"https://pith.science/pith/WB5WHTYYU3ACOZARN7Y7SJVNO6/action/replication_record"}},"created_at":"2026-05-18T02:31:18.805978+00:00","updated_at":"2026-05-18T02:31:18.805978+00:00"}