{"as_of":"2026-08-10T20:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cb1524867191fde423a6671a5e243f07ce1a02cb2ccb3208c9d24e070e5c7098","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T22:42:34.800057Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning","version":3},"cited_work":{"arxiv_id":"2012.01317","doi":"10.48550/arxiv.2012.01317","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.01317","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Talbot and E","venue":"arXiv (Cornell University)","work_id":"1b80da26-f4a4-4c12-9d52-48311a852241","year":2022},"citing_paper":{"arxiv_id":"2507.13249","last_updated":"2026-04-13T08:44:32Z","snapshot_observed_at":"2026-07-06T21:58:47.244173Z","submitted_at":"2025-07-17T15:58:39Z","title":"Comparing astrophysical models to gravitational-wave data in the observable space","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-19T04:36:12.661648Z"},"links":{"cited_paper":"/paper/2012.01317","citing_paper":"/paper/2507.13249"},"observation_digest":"sha256:c698da1c5bb3c11047cde249171708f7fe4d276bd0d8d595c337da002b44b53f","observation_id":"1f42b44f-c953-471f-9bbd-129a785b662d","resolution":{"observed_at":"2026-05-19T04:37:03.807095Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.01317","snapshot_observed_at":"2026-08-04T22:42:34.800057Z","title":"Talbot and E","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.07221","last_updated":"2025-09-08T21:03:55Z","snapshot_observed_at":"2026-08-09T15:30:01.551489Z","submitted_at":"2025-09-08T21:03:55Z","title":"When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-04T22:42:34.800057Z"},"links":{"cited_paper":"/paper/2012.01317","citing_paper":"/paper/2509.07221"},"observation_digest":"sha256:bfa69a626c719bcdd44618737df58ea69073be74305e25fb463a0f0a2853dbb3","observation_id":"d670aef7-fb0b-40a5-9e0b-c09bf807fd22","resolution":{"observed_at":"2026-08-04T22:42:34.800057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning","version":3},"cited_work":{"arxiv_id":"2012.01317","doi":"10.48550/arxiv.2012.01317","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.01317","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Talbot and E","venue":"arXiv (Cornell University)","work_id":"1b80da26-f4a4-4c12-9d52-48311a852241","year":2022},"citing_paper":{"arxiv_id":"2509.13638","last_updated":"2026-02-10T23:24:08Z","snapshot_observed_at":"2026-08-03T08:13:35.913961Z","submitted_at":"2025-09-17T02:25:42Z","title":"An Implementation to Identify the Properties of Multiple Population of Gravitational Wave Sources","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-18T17:06:36.862923Z"},"links":{"cited_paper":"/paper/2012.01317","citing_paper":"/paper/2509.13638"},"observation_digest":"sha256:2089db4915bc815430fb65613352e5818c30b134f93921c4f4161a58a9a16fdd","observation_id":"4490e4bd-199b-4819-ba74-21ba8e9b6603","resolution":{"observed_at":"2026-05-18T17:06:39.517349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning","version":3},"cited_work":{"arxiv_id":"2012.01317","doi":"10.48550/arxiv.2012.01317","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.01317","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Talbot and E","venue":"arXiv (Cornell University)","work_id":"1b80da26-f4a4-4c12-9d52-48311a852241","year":2022},"citing_paper":{"arxiv_id":"2605.05563","last_updated":"2026-05-11T15:36:29Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:12:48Z","title":"How do the LIGO-Virgo-KAGRA's Heavy Black Holes Form? No evidence for core-collapse Intermediate-mass black holes in GWTC-4","version":1},"reference_index":180,"source":"arxiv_source","source_observed_at":"2026-05-08T06:31:36.774997Z"},"links":{"cited_paper":"/paper/2012.01317","citing_paper":"/paper/2605.05563"},"observation_digest":"sha256:d2fa0616e3f91e115aedb4d489e0af02e01f967f23af627392e0f95789130866","observation_id":"43aae1bb-aae6-46b4-8e0a-04a4a188a390","resolution":{"observed_at":"2026-05-08T23:14:23.406405Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning","version":3},"cited_work":{"arxiv_id":"2012.01317","doi":"10.48550/arxiv.2012.01317","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.01317","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Talbot and E","venue":"arXiv (Cornell University)","work_id":"1b80da26-f4a4-4c12-9d52-48311a852241","year":2022},"citing_paper":{"arxiv_id":"2605.11274","last_updated":"2026-05-11T21:54:39Z","snapshot_observed_at":"2026-07-06T23:23:06.755816Z","submitted_at":"2026-05-11T21:54:39Z","title":"End-to-End Population Inference from Gravitational-Wave Strain using Transformers","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-13T02:01:54.336667Z"},"links":{"cited_paper":"/paper/2012.01317","citing_paper":"/paper/2605.11274"},"observation_digest":"sha256:19f76aec0cff285d94b72ad4a982e82c97122f65313c29b1080f3a684acef542","observation_id":"5fd3531a-b25f-4a32-a843-5d791d968d20","resolution":{"observed_at":"2026-05-13T02:02:05.995005Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.01317","snapshot_observed_at":"2026-08-02T11:36:04.238228Z","title":"Flexible and Accu- rate Evaluation of Gravitational-wave Malmquist Bias with Machine Learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.14229","last_updated":"2026-07-24T07:15:23Z","snapshot_observed_at":"2026-08-10T00:52:40.152165Z","submitted_at":"2026-06-12T08:11:12Z","title":"Fortifying gravitational-wave population inference with normalizing flows","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-02T11:36:04.238228Z"},"links":{"cited_paper":"/paper/2012.01317","citing_paper":"/paper/2606.14229"},"observation_digest":"sha256:33d9971678cbd7355e7881aa1279701b79cd29fcf67e5fd0ac7882e07d3e8a74","observation_id":"7c86ea5e-614c-4bab-a1fa-ebe979edf405","resolution":{"observed_at":"2026-08-02T11:36:04.238228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2012.01317/citation-record","integrity":"/paper/2012.01317/integrity","json":"/paper/2012.01317/citation-record.json","paper":"/paper/2012.01317"},"outbound":[],"paper":{"arxiv_id":"2012.01317","last_updated":"2022-01-02T14:20:39Z","latest_version":3,"primary_category":"gr-qc","snapshot_observed_at":"2026-08-09T21:11:36.219490Z","submitted_at":"2020-12-02T16:42:44Z","title":"Fast, flexible, and accurate evaluation of gravitational-wave Malmquist bias with machine learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.01317."}