{"as_of":"2026-08-07T06:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:29294cd49c6fc3f58b3e43d625f409827428e76786985080d9057dd23eb0b5f8","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T05:00:51.900865Z","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":"2026-07-02T15:17:08.370004Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.07771","last_updated":"2022-04-20T15:01:24Z","snapshot_observed_at":"2026-07-06T12:28:50.710128Z","submitted_at":"2022-01-19T18:21:38Z","title":"A Full $w$CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07771","snapshot_observed_at":"2026-08-07T05:00:51.900865Z","title":"Fluri, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.09128","last_updated":"2025-08-21T12:49:43Z","snapshot_observed_at":"2026-08-07T04:54:05.384301Z","submitted_at":"2025-06-10T18:00:04Z","title":"Computing Nonlinear Power Spectra Across Dynamical Dark Energy Model Space with Neural ODEs","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:00:51.900865Z"},"links":{"cited_paper":"/paper/2201.07771","citing_paper":"/paper/2506.09128"},"observation_digest":"sha256:55ff9a9703cbb52eae22f796f0394c1f05f2a09b64608b340cc3503d994a14ae","observation_id":"5d504511-2178-4284-9917-3e9d4e346329","resolution":{"observed_at":"2026-08-07T05:00:51.900865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07771","last_updated":"2022-04-20T15:01:24Z","snapshot_observed_at":"2026-07-06T12:28:50.710128Z","submitted_at":"2022-01-19T18:21:38Z","title":"A Full $w$CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep Learning","version":2},"cited_work":{"arxiv_id":"2201.07771","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.07771","snapshot_observed_at":"2026-07-02T15:17:08.370004Z","title":"Fluri, T","venue":null,"work_id":"2fc24f68-2ff1-4b08-8c8a-01d47d981a07","year":2022},"citing_paper":{"arxiv_id":"2511.12488","last_updated":"2026-04-22T14:21:36Z","snapshot_observed_at":"2026-08-05T09:09:47.063712Z","submitted_at":"2025-11-16T07:53:08Z","title":"The first AKRA mass map reconstruction from HSC Y1 data","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-17T22:36:34.816748Z"},"links":{"cited_paper":"/paper/2201.07771","citing_paper":"/paper/2511.12488"},"observation_digest":"sha256:5e2d0e4a478bef3011df4b8e1e8d25477b664e041b4c27f462f99a0c99e59329","observation_id":"9910a040-b1da-45f0-8d85-cd5157a8113b","resolution":{"observed_at":"2026-05-17T22:40:23.712937Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07771","last_updated":"2022-04-20T15:01:24Z","snapshot_observed_at":"2026-07-06T12:28:50.710128Z","submitted_at":"2022-01-19T18:21:38Z","title":"A Full $w$CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep Learning","version":2},"cited_work":{"arxiv_id":"2201.07771","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.07771","snapshot_observed_at":"2026-07-02T15:17:08.370004Z","title":"Fluri, T","venue":null,"work_id":"2fc24f68-2ff1-4b08-8c8a-01d47d981a07","year":2022},"citing_paper":{"arxiv_id":"2606.06175","last_updated":"2026-06-04T13:48:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-04T13:48:02Z","title":"AKRA 3.0: A matrix-free Inversion Framework for Weak Lensing Mass Mapping and Its Application to DES Y3 Data","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T23:56:13.537001Z"},"links":{"cited_paper":"/paper/2201.07771","citing_paper":"/paper/2606.06175"},"observation_digest":"sha256:c74477c678b4201d11d89ac295d6801f6c26be83b2184ad129968e1bfcc56e55","observation_id":"0c0620fa-e6a5-42a2-8c43-94b29040d836","resolution":{"observed_at":"2026-07-02T15:17:08.372213Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.07771","last_updated":"2022-04-20T15:01:24Z","snapshot_observed_at":"2026-07-06T12:28:50.710128Z","submitted_at":"2022-01-19T18:21:38Z","title":"A Full $w$CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.07771","snapshot_observed_at":"2026-07-31T05:29:29.860861Z","title":", keywords =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24939","last_updated":"2026-07-27T18:00:24Z","snapshot_observed_at":"2026-08-06T11:51:26.677681Z","submitted_at":"2026-07-27T18:00:24Z","title":"Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-07-31T05:29:29.860861Z"},"links":{"cited_paper":"/paper/2201.07771","citing_paper":"/paper/2607.24939"},"observation_digest":"sha256:5046ed95d9a7e68cbf055a3175d5e0e3f5592480229bbb4346e0cee16fc4a4ad","observation_id":"a97188fa-a290-41f6-acf5-0c597cf779cd","resolution":{"observed_at":"2026-07-31T05:29:29.860861Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2201.07771/citation-record","integrity":"/paper/2201.07771/integrity","json":"/paper/2201.07771/citation-record.json","paper":"/paper/2201.07771"},"outbound":[],"paper":{"arxiv_id":"2201.07771","last_updated":"2022-04-20T15:01:24Z","latest_version":2,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-07-06T12:28:50.710128Z","submitted_at":"2022-01-19T18:21:38Z","title":"A Full $w$CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2201.07771."}