{"as_of":"2026-08-06T16:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0837571d829916c69da34ff37df3d066a49adce14c472c0856d7ba02920110e8","coverage":[{"denominator":4,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T18:24:15.329348Z","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":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2604.02999/citation-record","integrity":"/paper/2604.02999/integrity","json":"/paper/2604.02999/citation-record.json","paper":"/paper/2604.02999"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Verdoes Kleijn (1) , T","venue":null,"work_id":"e91e6a25-0975-43f4-a438-a20e7a96772a","year":2025},"citing_paper":{"arxiv_id":"2604.02999","last_updated":"2026-04-03T12:26:12Z","snapshot_observed_at":"2026-07-06T22:52:15.263364Z","submitted_at":"2026-04-03T12:26:12Z","title":"Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T18:24:15.329348Z"},"links":{"citing_paper":"/paper/2604.02999"},"observation_digest":"sha256:ac1d8d0c960204caba5b72d825f68231841a68f923c33b85bdcef2a36aab30c5","observation_id":"1868c8d6-bed0-4f1e-840d-c5d0778d182f","resolution":{"observed_at":"2026-05-14T04:16:36.316406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Our group also includes members of the Rubin Consortium who are interested in taking the lessons learned from Euclid and OmegaCAM to the LSST survey","venue":null,"work_id":"96072884-9db6-4f92-bfc7-8375ff8cf638","year":2024},"citing_paper":{"arxiv_id":"2604.02999","last_updated":"2026-04-03T12:26:12Z","snapshot_observed_at":"2026-07-06T22:52:15.263364Z","submitted_at":"2026-04-03T12:26:12Z","title":"Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-13T18:24:15.329348Z"},"links":{"citing_paper":"/paper/2604.02999"},"observation_digest":"sha256:53a847bb117d1053e5ebe1eb28f4f3724c02a887e4a6de127154607719b06ba5","observation_id":"c0826478-3885-44f9-87db-5af723b73304","resolution":{"observed_at":"2026-05-14T04:16:36.312177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"test particles","venue":null,"work_id":"c78a30e1-b2fa-4dcd-a4f7-175ea080489e","year":2025},"citing_paper":{"arxiv_id":"2604.02999","last_updated":"2026-04-03T12:26:12Z","snapshot_observed_at":"2026-07-06T22:52:15.263364Z","submitted_at":"2026-04-03T12:26:12Z","title":"Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-13T18:24:15.329348Z"},"links":{"citing_paper":"/paper/2604.02999"},"observation_digest":"sha256:2a59510d1fe8de8fbf3bee59d8c9d530a6e30e6c0fc1c3c644f5a69823d60e2b","observation_id":"c15d274d-5ab3-48d8-843f-eece1ca4f508","resolution":{"observed_at":"2026-05-14T04:16:36.320503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2405.13491","doi":"10.48550/arxiv.2405.13491","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mellier, Abdurro’uf, J","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","work_id":"15ed38b8-e601-4fbb-b3c5-a0d8b595c401","year":2025},"citing_paper":{"arxiv_id":"2604.02999","last_updated":"2026-04-03T12:26:12Z","snapshot_observed_at":"2026-07-06T22:52:15.263364Z","submitted_at":"2026-04-03T12:26:12Z","title":"Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T18:24:15.329348Z"},"links":{"citing_paper":"/paper/2604.02999"},"observation_digest":"sha256:0559ee94dc6c6298ea535234ba715bb0da8dbba73d668d6fbf6c7081c5c7d00b","observation_id":"d75237da-519b-4118-a2cd-52c2dbaeaa2b","resolution":{"observed_at":"2026-05-13T18:28:06.601166Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.02999","last_updated":"2026-04-03T12:26:12Z","latest_version":1,"primary_category":"astro-ph.IM","snapshot_observed_at":"2026-07-06T22:52:15.263364Z","submitted_at":"2026-04-03T12:26:12Z","title":"Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys"},"reference_resolution":{"displayed":4,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":1,"verified_fuzzy":3},"total_outbound_references":4},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2604.02999."}