{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:N7MGJCAPJJQHEVPDLMFXASW2YL","short_pith_number":"pith:N7MGJCAP","canonical_record":{"source":{"id":"1908.08127","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.GN","submitted_at":"2019-08-21T21:58:25Z","cross_cats_sorted":["q-fin.EC","stat.AP"],"title_canon_sha256":"2bf8c4e99fe376939172be21420cbc79195c5321239e9be5609e7775549e65c7","abstract_canon_sha256":"da5368e03830261a7f8b2c6246ef98b76c0693f8ee23283f5601a30f6a89ef72"},"schema_version":"1.0"},"canonical_sha256":"6fd864880f4a607255e35b0b704adac2f00fed90be5247dfb99167b6c02059fe","source":{"kind":"arxiv","id":"1908.08127","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08127","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08127v3","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08127","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"pith_short_12","alias_value":"N7MGJCAPJJQH","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"pith_short_16","alias_value":"N7MGJCAPJJQHEVPD","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"pith_short_8","alias_value":"N7MGJCAP","created_at":"2026-07-05T02:41:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:N7MGJCAPJJQHEVPDLMFXASW2YL","target":"record","payload":{"canonical_record":{"source":{"id":"1908.08127","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.GN","submitted_at":"2019-08-21T21:58:25Z","cross_cats_sorted":["q-fin.EC","stat.AP"],"title_canon_sha256":"2bf8c4e99fe376939172be21420cbc79195c5321239e9be5609e7775549e65c7","abstract_canon_sha256":"da5368e03830261a7f8b2c6246ef98b76c0693f8ee23283f5601a30f6a89ef72"},"schema_version":"1.0"},"canonical_sha256":"6fd864880f4a607255e35b0b704adac2f00fed90be5247dfb99167b6c02059fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:41:59.841934Z","signature_b64":"3LRcWBIbaQqK8LBTNXThinJRPT4YbCCw9i6c6YNqVlhllkjudQ76rt8ukXTJhBD8oUsdeO5IfHVDF8VsiLKdBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6fd864880f4a607255e35b0b704adac2f00fed90be5247dfb99167b6c02059fe","last_reissued_at":"2026-07-05T02:41:59.841485Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:41:59.841485Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.08127","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:41:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HCtgjuywxYSSL4IhCoiQ7RIQYF+LIrCf7Hkstp9be9w/H+PT01G8t1MnYwoa3XUTN5uQGECOoH1p9rQOrmPMDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T08:17:03.907963Z"},"content_sha256":"d423332759edc7587a60c751481d192f45dba1528f24f17849214448d42ca898","schema_version":"1.0","event_id":"sha256:d423332759edc7587a60c751481d192f45dba1528f24f17849214448d42ca898"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:N7MGJCAPJJQHEVPDLMFXASW2YL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Forecasting e-scooter substitution of direct and access trips by mode and distance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-fin.EC","stat.AP"],"primary_cat":"econ.GN","authors_text":"Brian Yueshuai He, Gyugeun Yoon, Joseph Y. J. Chow, Mina Lee","submitted_at":"2019-08-21T21:58:25Z","abstract_excerpt":"An e-scooter trip model is estimated from four U.S. cities: Portland, Austin, Chicago and New York City. A log-log regression model is estimated for e-scooter trips based on user age, population, land area, and the number of scooters. The model predicts 75K daily e-scooter trips in Manhattan for a deployment of 2000 scooters, which translates to 77 million USD in annual revenue. We propose a novel nonlinear, multifactor model to break down the number of daily trips by the alternative modes of transportation that they would likely substitute based on statistical similarity. The model parameters"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08127","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1908.08127/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:41:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WDWqxDxEsRYYMTTEF1gUTbnuGAlfGaPi0GXjymJ6A9WSmx2JQTtg7fK0N9YD42YdRjLhtSRFxN2//2FlLjw+CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T08:17:03.908482Z"},"content_sha256":"da4780439b62dba1fad7b9efde058fa0925584a486c25f338344930a82659aae","schema_version":"1.0","event_id":"sha256:da4780439b62dba1fad7b9efde058fa0925584a486c25f338344930a82659aae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N7MGJCAPJJQHEVPDLMFXASW2YL/bundle.json","state_url":"https://pith.science/pith/N7MGJCAPJJQHEVPDLMFXASW2YL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N7MGJCAPJJQHEVPDLMFXASW2YL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-16T08:17:03Z","links":{"resolver":"https://pith.science/pith/N7MGJCAPJJQHEVPDLMFXASW2YL","bundle":"https://pith.science/pith/N7MGJCAPJJQHEVPDLMFXASW2YL/bundle.json","state":"https://pith.science/pith/N7MGJCAPJJQHEVPDLMFXASW2YL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N7MGJCAPJJQHEVPDLMFXASW2YL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:N7MGJCAPJJQHEVPDLMFXASW2YL","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":"da5368e03830261a7f8b2c6246ef98b76c0693f8ee23283f5601a30f6a89ef72","cross_cats_sorted":["q-fin.EC","stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.GN","submitted_at":"2019-08-21T21:58:25Z","title_canon_sha256":"2bf8c4e99fe376939172be21420cbc79195c5321239e9be5609e7775549e65c7"},"schema_version":"1.0","source":{"id":"1908.08127","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08127","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08127v3","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08127","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"pith_short_12","alias_value":"N7MGJCAPJJQH","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"pith_short_16","alias_value":"N7MGJCAPJJQHEVPD","created_at":"2026-07-05T02:41:59Z"},{"alias_kind":"pith_short_8","alias_value":"N7MGJCAP","created_at":"2026-07-05T02:41:59Z"}],"graph_snapshots":[{"event_id":"sha256:da4780439b62dba1fad7b9efde058fa0925584a486c25f338344930a82659aae","target":"graph","created_at":"2026-07-05T02:41:59Z","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/1908.08127/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An e-scooter trip model is estimated from four U.S. cities: Portland, Austin, Chicago and New York City. A log-log regression model is estimated for e-scooter trips based on user age, population, land area, and the number of scooters. The model predicts 75K daily e-scooter trips in Manhattan for a deployment of 2000 scooters, which translates to 77 million USD in annual revenue. We propose a novel nonlinear, multifactor model to break down the number of daily trips by the alternative modes of transportation that they would likely substitute based on statistical similarity. The model parameters","authors_text":"Brian Yueshuai He, Gyugeun Yoon, Joseph Y. J. Chow, Mina Lee","cross_cats":["q-fin.EC","stat.AP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.GN","submitted_at":"2019-08-21T21:58:25Z","title":"Forecasting e-scooter substitution of direct and access trips by mode and distance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08127","kind":"arxiv","version":3},"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:d423332759edc7587a60c751481d192f45dba1528f24f17849214448d42ca898","target":"record","created_at":"2026-07-05T02:41:59Z","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":"da5368e03830261a7f8b2c6246ef98b76c0693f8ee23283f5601a30f6a89ef72","cross_cats_sorted":["q-fin.EC","stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.GN","submitted_at":"2019-08-21T21:58:25Z","title_canon_sha256":"2bf8c4e99fe376939172be21420cbc79195c5321239e9be5609e7775549e65c7"},"schema_version":"1.0","source":{"id":"1908.08127","kind":"arxiv","version":3}},"canonical_sha256":"6fd864880f4a607255e35b0b704adac2f00fed90be5247dfb99167b6c02059fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6fd864880f4a607255e35b0b704adac2f00fed90be5247dfb99167b6c02059fe","first_computed_at":"2026-07-05T02:41:59.841485Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:41:59.841485Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3LRcWBIbaQqK8LBTNXThinJRPT4YbCCw9i6c6YNqVlhllkjudQ76rt8ukXTJhBD8oUsdeO5IfHVDF8VsiLKdBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:41:59.841934Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08127","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d423332759edc7587a60c751481d192f45dba1528f24f17849214448d42ca898","sha256:da4780439b62dba1fad7b9efde058fa0925584a486c25f338344930a82659aae"],"state_sha256":"0a045879b7e5733059b9403f9ce4c441a883b3ff94606b5b8b09583e73c48128"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9KtFCZnSMzLUsntWZpWz5FK2t98V9sy4O3ZC4sxjK+QY+Cb1E0VT2MCxkpMuK1S8EK7W/iu6ND1p3KRId8G5CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T08:17:03.913901Z","bundle_sha256":"5c4c23a42b2cced85bfbc046113cfd35bb903a45a59b64572757537c0acc7e58"}}