{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:FG4BWBZEF6V525Z3QERBGJXPNT","short_pith_number":"pith:FG4BWBZE","schema_version":"1.0","canonical_sha256":"29b81b07242fabdd773b81221326ef6cc7f8529a92258f008b12bdc78aeee33a","source":{"kind":"arxiv","id":"2201.01817","version":2},"attestation_state":"computed","paper":{"title":"Inferring the Intermediate Mass Black Hole Number Density from Gravitational Wave Lensing Statistics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Eungwang Seo, Joseph Gais, Kaze W.K. Wong, Ken Ng, Tjonnie G. F. Li","submitted_at":"2022-01-05T20:58:18Z","abstract_excerpt":"The population properties of intermediate mass black holes remain largely unknown, and understanding their distribution could provide a missing link in the formation of supermassive black holes and galaxies. Gravitational wave observations can help fill in the gap from stellar mass black holes to supermassive black holes. In our work, we propose a new method for probing lens populations through lensing statistics of gravitational waves, here focusing on inferring the number density of intermediate mass black holes. Using hierarchical Bayesian inference of injected lensed gravitational waves, w"},"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":"2201.01817","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2022-01-05T20:58:18Z","cross_cats_sorted":[],"title_canon_sha256":"5dccf5389db71ff159d5ddb8baeddf8f79c4fd7c8683aa15b48fd495ef1a0d00","abstract_canon_sha256":"4a7489c719e6f95717d5dd2fa1cbad777dceb8020429af41a20e012c5da572df"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:33:28.512338Z","signature_b64":"UIDLmN49oFt3Z8PNgQdXrXBx3AR8bybFAHMZOmyAg4nJoPf8frmOWf9PQbb1rom+GQPWYJ7/Orar79j5/elTAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29b81b07242fabdd773b81221326ef6cc7f8529a92258f008b12bdc78aeee33a","last_reissued_at":"2026-07-05T04:33:28.511850Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:33:28.511850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inferring the Intermediate Mass Black Hole Number Density from Gravitational Wave Lensing Statistics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Eungwang Seo, Joseph Gais, Kaze W.K. Wong, Ken Ng, Tjonnie G. F. Li","submitted_at":"2022-01-05T20:58:18Z","abstract_excerpt":"The population properties of intermediate mass black holes remain largely unknown, and understanding their distribution could provide a missing link in the formation of supermassive black holes and galaxies. Gravitational wave observations can help fill in the gap from stellar mass black holes to supermassive black holes. In our work, we propose a new method for probing lens populations through lensing statistics of gravitational waves, here focusing on inferring the number density of intermediate mass black holes. Using hierarchical Bayesian inference of injected lensed gravitational waves, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.01817","kind":"arxiv","version":2},"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/2201.01817/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":"2201.01817","created_at":"2026-07-05T04:33:28.511908+00:00"},{"alias_kind":"arxiv_version","alias_value":"2201.01817v2","created_at":"2026-07-05T04:33:28.511908+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.01817","created_at":"2026-07-05T04:33:28.511908+00:00"},{"alias_kind":"pith_short_12","alias_value":"FG4BWBZEF6V5","created_at":"2026-07-05T04:33:28.511908+00:00"},{"alias_kind":"pith_short_16","alias_value":"FG4BWBZEF6V525Z3","created_at":"2026-07-05T04:33:28.511908+00:00"},{"alias_kind":"pith_short_8","alias_value":"FG4BWBZE","created_at":"2026-07-05T04:33:28.511908+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2505.20996","citing_title":"Parameter inference of millilensed gravitational waves using neural spline flows","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2604.13930","citing_title":"Bayesian Analysis of Gravitational Wave Microlensing Effects from Galactic Double White Dwarfs","ref_index":64,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT","json":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT.json","graph_json":"https://pith.science/api/pith-number/FG4BWBZEF6V525Z3QERBGJXPNT/graph.json","events_json":"https://pith.science/api/pith-number/FG4BWBZEF6V525Z3QERBGJXPNT/events.json","paper":"https://pith.science/paper/FG4BWBZE"},"agent_actions":{"view_html":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT","download_json":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT.json","view_paper":"https://pith.science/paper/FG4BWBZE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2201.01817&json=true","fetch_graph":"https://pith.science/api/pith-number/FG4BWBZEF6V525Z3QERBGJXPNT/graph.json","fetch_events":"https://pith.science/api/pith-number/FG4BWBZEF6V525Z3QERBGJXPNT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT/action/storage_attestation","attest_author":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT/action/author_attestation","sign_citation":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT/action/citation_signature","submit_replication":"https://pith.science/pith/FG4BWBZEF6V525Z3QERBGJXPNT/action/replication_record"}},"created_at":"2026-07-05T04:33:28.511908+00:00","updated_at":"2026-07-05T04:33:28.511908+00:00"}