{"as_of":"2026-08-13T18:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b848e4035c1c2efbb05e9f8e1e6cd90b87a86ea6af0f967c2c6915aabbe7a610","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:20:01.478485Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T14:54:45.318194Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.06461","last_updated":"2022-01-17T15:14:35Z","snapshot_observed_at":"2026-08-13T16:58:06.546188Z","submitted_at":"2022-01-17T15:14:35Z","title":"Using machine learning to parametrize postmerger signals from binary neutron stars","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.06461","snapshot_observed_at":"2026-08-12T05:20:01.478485Z","title":"Whittaker, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00566","last_updated":"2025-04-14T17:58:10Z","snapshot_observed_at":"2026-08-12T22:52:48.562139Z","submitted_at":"2024-11-30T19:41:18Z","title":"Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders","version":2},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-12T05:20:01.478485Z"},"links":{"cited_paper":"/paper/2201.06461","citing_paper":"/paper/2412.00566"},"observation_digest":"sha256:f343ba220007501a9329643ce7891abac68a888c714ff228091a7f8f85b622d1","observation_id":"25fb7105-ae6a-4ec2-9c05-3af4c01e3d55","resolution":{"observed_at":"2026-08-12T05:20:01.478485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.06461","last_updated":"2022-01-17T15:14:35Z","snapshot_observed_at":"2026-08-13T16:58:06.546188Z","submitted_at":"2022-01-17T15:14:35Z","title":"Using machine learning to parametrize postmerger signals from binary neutron stars","version":1},"cited_work":{"arxiv_id":"2201.06461","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.06461","snapshot_observed_at":"2026-06-30T14:54:45.318194Z","title":"Whittaker, W","venue":null,"work_id":"106e2f50-48d8-4afc-b390-2d284b506253","year":2022},"citing_paper":{"arxiv_id":"2505.20996","last_updated":"2026-05-11T16:32:51Z","snapshot_observed_at":"2026-08-13T06:53:40.517107Z","submitted_at":"2025-05-27T10:31:21Z","title":"Parameter inference of millilensed gravitational waves using neural spline flows","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-19T13:21:37.451964Z"},"links":{"cited_paper":"/paper/2201.06461","citing_paper":"/paper/2505.20996"},"observation_digest":"sha256:767a8aff95abfc016c96a1f2c32bfd7cf8bf5f6e0e5f44fe05487877865b4462","observation_id":"9ab00688-ebe7-4f0f-a487-e427169c353c","resolution":{"observed_at":"2026-05-19T13:22:18.770790Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.06461","last_updated":"2022-01-17T15:14:35Z","snapshot_observed_at":"2026-08-13T16:58:06.546188Z","submitted_at":"2022-01-17T15:14:35Z","title":"Using machine learning to parametrize postmerger signals from binary neutron stars","version":1},"cited_work":{"arxiv_id":"2201.06461","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.06461","snapshot_observed_at":"2026-06-30T14:54:45.318194Z","title":"Whittaker, W","venue":null,"work_id":"106e2f50-48d8-4afc-b390-2d284b506253","year":2022},"citing_paper":{"arxiv_id":"2605.24145","last_updated":"2026-05-22T19:07:00Z","snapshot_observed_at":"2026-08-13T09:31:01.642254Z","submitted_at":"2026-05-22T19:07:00Z","title":"Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-06-30T14:53:42.242560Z"},"links":{"cited_paper":"/paper/2201.06461","citing_paper":"/paper/2605.24145"},"observation_digest":"sha256:10f309a574e180ba35262440472041ab5e573b592f5fd1e8ea1a6c51d0d46b6e","observation_id":"8c7ea557-a4f6-4d22-a036-32a75c75411d","resolution":{"observed_at":"2026-06-30T14:54:45.319586Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.06461","last_updated":"2022-01-17T15:14:35Z","snapshot_observed_at":"2026-08-13T16:58:06.546188Z","submitted_at":"2022-01-17T15:14:35Z","title":"Using machine learning to parametrize postmerger signals from binary neutron stars","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.06461","snapshot_observed_at":"2026-07-11T23:16:00.672720Z","title":"Whittaker, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03885","last_updated":"2026-07-04T14:02:26Z","snapshot_observed_at":"2026-08-06T02:37:02.500007Z","submitted_at":"2026-07-04T14:02:26Z","title":"Identifying lensed gravitational waves with physics-informed posterior learning","version":1},"reference_index":126,"source":"pdf_text","source_observed_at":"2026-07-11T23:16:00.672720Z"},"links":{"cited_paper":"/paper/2201.06461","citing_paper":"/paper/2607.03885"},"observation_digest":"sha256:a376586e6f4b2a508ccb14767f282b7464ce6f2ecaaf89b7ad63e1c13969a002","observation_id":"72457b65-4c7e-404c-89ff-d8cb8486a511","resolution":{"observed_at":"2026-07-11T23:16:00.672720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2201.06461/citation-record","integrity":"/paper/2201.06461/integrity","json":"/paper/2201.06461/citation-record.json","paper":"/paper/2201.06461"},"outbound":[],"paper":{"arxiv_id":"2201.06461","last_updated":"2022-01-17T15:14:35Z","latest_version":1,"primary_category":"gr-qc","snapshot_observed_at":"2026-08-13T16:58:06.546188Z","submitted_at":"2022-01-17T15:14:35Z","title":"Using machine learning to parametrize postmerger signals from binary neutron stars"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2201.06461."}