{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MQWXA45ZURGG2FMUA5DFATI7QL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d66e10538198e70aa76f02871e4c986adac3c85bcb4c5feeeb95d91afd0d6b2e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2021-06-09T19:52:18Z","title_canon_sha256":"8859be32a6d77c546b954a3649bf99fc5928ff5e1d7c787cba15321b65d98678"},"schema_version":"1.0","source":{"id":"2106.05359","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.05359","created_at":"2026-07-05T02:48:01Z"},{"alias_kind":"arxiv_version","alias_value":"2106.05359v1","created_at":"2026-07-05T02:48:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.05359","created_at":"2026-07-05T02:48:01Z"},{"alias_kind":"pith_short_12","alias_value":"MQWXA45ZURGG","created_at":"2026-07-05T02:48:01Z"},{"alias_kind":"pith_short_16","alias_value":"MQWXA45ZURGG2FMU","created_at":"2026-07-05T02:48:01Z"},{"alias_kind":"pith_short_8","alias_value":"MQWXA45Z","created_at":"2026-07-05T02:48:01Z"}],"graph_snapshots":[{"event_id":"sha256:e5ed2abcefd642627591a13f2b8fc54651cd3d5b4f0eb11f900674ba668e44f1","target":"graph","created_at":"2026-07-05T02:48:01Z","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/2106.05359/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many special events, including sport games and concerts, often cause surges in demand and congestion for transit systems. Therefore, it is important for transit providers to understand their impact on disruptions, delays, and fare revenues. This paper proposes a suite of data-driven techniques that exploit Automated Fare Collection (AFC) data for evaluating, anticipating, and managing the performance of transit systems during recurring congestion peaks due to special events. This includes an extensive analysis of ridership of the two major stadiums in downtown Atlanta using rail data from the ","authors_text":"Anthony Trasatti, Hanyu Zhang, Pascal Van Hentenryck, Tejas Santanam","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2021-06-09T19:52:18Z","title":"Public Transit for Special Events: Ridership Prediction and Train Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.05359","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:a8492c27cd937f2367ac76ffa264690d8a6f4fdb93c9aab7f59d733f91f2c899","target":"record","created_at":"2026-07-05T02:48:01Z","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":"d66e10538198e70aa76f02871e4c986adac3c85bcb4c5feeeb95d91afd0d6b2e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2021-06-09T19:52:18Z","title_canon_sha256":"8859be32a6d77c546b954a3649bf99fc5928ff5e1d7c787cba15321b65d98678"},"schema_version":"1.0","source":{"id":"2106.05359","kind":"arxiv","version":1}},"canonical_sha256":"642d7073b9a44c6d15940746504d1f82f32915b9d690017565bc21ef9ef88ae8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"642d7073b9a44c6d15940746504d1f82f32915b9d690017565bc21ef9ef88ae8","first_computed_at":"2026-07-05T02:48:01.298201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:48:01.298201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GXEqc9jfobupDisv7ZSb8B1R5KoPLgnFGF0TxGteKNoDFN2WrkW9ksuNHqlTFj8xoDqKQJsVjE2pSg7A1xUZDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:48:01.298605Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.05359","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8492c27cd937f2367ac76ffa264690d8a6f4fdb93c9aab7f59d733f91f2c899","sha256:e5ed2abcefd642627591a13f2b8fc54651cd3d5b4f0eb11f900674ba668e44f1"],"state_sha256":"db41a06051d4b0aae9f38f56863994bf5b8a60e78004343d5025bfa797c498fd"}