{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:676L6AHFIDFEXYWVYQEY2ZAIEO","short_pith_number":"pith:676L6AHF","schema_version":"1.0","canonical_sha256":"f7fcbf00e540ca4be2d5c4098d640823ba019feffdc34c8a8d27353ea6f612c5","source":{"kind":"arxiv","id":"2104.07932","version":4},"attestation_state":"computed","paper":{"title":"Interval-censored Hawkes processes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Aditya Krishna Menon, Alexander Soen, Leanne Dong, Lexing Xie, Marian-Andrei Rizoiu, Pio Calderon, Shidi Li","submitted_at":"2021-04-16T07:29:04Z","abstract_excerpt":"Interval-censored data solely records the aggregated counts of events during specific time intervals - such as the number of patients admitted to the hospital or the volume of vehicles passing traffic loop detectors - and not the exact occurrence time of the events. It is currently not understood how to fit the Hawkes point processes to this kind of data. Its typical loss function (the point process log-likelihood) cannot be computed without exact event times. Furthermore, it does not have the independent increments property to use the Poisson likelihood. This work builds a novel point process"},"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":"2104.07932","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2021-04-16T07:29:04Z","cross_cats_sorted":["cs.CE","stat.ML"],"title_canon_sha256":"f94f503301cd99d154c6f42e316fe41d5d9505cb03e7ca41cefff191e5fe7cfb","abstract_canon_sha256":"ed52a259cc9128001a55c7983db2ac6079144bf150ee084d015a710676a71d2b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:19:32.518133Z","signature_b64":"0JppNjkTpag8SsH+mYdPU0qt8MH5eSLU30R6HsSCXtvR9KGh2L3PK82HhtDDGRnJC5D9oWSBRFSKq+0iOoXyBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7fcbf00e540ca4be2d5c4098d640823ba019feffdc34c8a8d27353ea6f612c5","last_reissued_at":"2026-07-05T05:19:32.517554Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:19:32.517554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Interval-censored Hawkes processes","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CE","stat.ML"],"primary_cat":"cs.LG","authors_text":"Aditya Krishna Menon, Alexander Soen, Leanne Dong, Lexing Xie, Marian-Andrei Rizoiu, Pio Calderon, Shidi Li","submitted_at":"2021-04-16T07:29:04Z","abstract_excerpt":"Interval-censored data solely records the aggregated counts of events during specific time intervals - such as the number of patients admitted to the hospital or the volume of vehicles passing traffic loop detectors - and not the exact occurrence time of the events. It is currently not understood how to fit the Hawkes point processes to this kind of data. Its typical loss function (the point process log-likelihood) cannot be computed without exact event times. Furthermore, it does not have the independent increments property to use the Poisson likelihood. This work builds a novel point process"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.07932","kind":"arxiv","version":4},"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/2104.07932/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2104.07932","created_at":"2026-07-05T05:19:32.517638+00:00"},{"alias_kind":"arxiv_version","alias_value":"2104.07932v4","created_at":"2026-07-05T05:19:32.517638+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.07932","created_at":"2026-07-05T05:19:32.517638+00:00"},{"alias_kind":"pith_short_12","alias_value":"676L6AHFIDFE","created_at":"2026-07-05T05:19:32.517638+00:00"},{"alias_kind":"pith_short_16","alias_value":"676L6AHFIDFEXYWV","created_at":"2026-07-05T05:19:32.517638+00:00"},{"alias_kind":"pith_short_8","alias_value":"676L6AHF","created_at":"2026-07-05T05:19:32.517638+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/676L6AHFIDFEXYWVYQEY2ZAIEO","json":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO.json","graph_json":"https://pith.science/api/pith-number/676L6AHFIDFEXYWVYQEY2ZAIEO/graph.json","events_json":"https://pith.science/api/pith-number/676L6AHFIDFEXYWVYQEY2ZAIEO/events.json","paper":"https://pith.science/paper/676L6AHF"},"agent_actions":{"view_html":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO","download_json":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO.json","view_paper":"https://pith.science/paper/676L6AHF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2104.07932&json=true","fetch_graph":"https://pith.science/api/pith-number/676L6AHFIDFEXYWVYQEY2ZAIEO/graph.json","fetch_events":"https://pith.science/api/pith-number/676L6AHFIDFEXYWVYQEY2ZAIEO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO/action/storage_attestation","attest_author":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO/action/author_attestation","sign_citation":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO/action/citation_signature","submit_replication":"https://pith.science/pith/676L6AHFIDFEXYWVYQEY2ZAIEO/action/replication_record"}},"created_at":"2026-07-05T05:19:32.517638+00:00","updated_at":"2026-07-05T05:19:32.517638+00:00"}