{"as_of":"2026-08-07T19:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65f22309897c7fb07c5c03a04d120d5848e43a01093e87cd20557accd58d55a9","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":"2026-08-05T14:43:16.418600Z","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":"2026-05-23T17:55:44.465245Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.11462","last_updated":"2022-02-23T08:41:47Z","snapshot_observed_at":"2026-08-03T10:18:08.318605Z","submitted_at":"2021-11-22T19:04:24Z","title":"Neural Network Reconstruction of Late-Time Cosmology and Null Tests","version":2},"cited_work":{"arxiv_id":"2111.11462","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.11462","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dialektopoulos, J","venue":null,"work_id":"53e6e37d-88f7-476d-a4e0-5543a00841ee","year":2022},"citing_paper":{"arxiv_id":"2411.03773","last_updated":"2026-05-07T16:04:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-06T09:10:25Z","title":"Model-independent calibration of Gamma-Ray Bursts with neural networks","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-23T17:55:16.089703Z"},"links":{"cited_paper":"/paper/2111.11462","citing_paper":"/paper/2411.03773"},"observation_digest":"sha256:cd6936b9f1c39bea2edb6a7c1582201a502f26e71ee11679e8287135a7e8bcfe","observation_id":"cbae3d21-df7c-4647-8654-66307bcacdd8","resolution":{"observed_at":"2026-05-23T17:55:44.467671Z","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":"2111.11462","last_updated":"2022-02-23T08:41:47Z","snapshot_observed_at":"2026-08-03T10:18:08.318605Z","submitted_at":"2021-11-22T19:04:24Z","title":"Neural Network Reconstruction of Late-Time Cosmology and Null Tests","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.11462","snapshot_observed_at":"2026-08-05T14:43:16.418600Z","title":"Dialektopoulos, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20971","last_updated":"2026-06-14T15:39:47Z","snapshot_observed_at":"2026-08-07T16:00:32.224666Z","submitted_at":"2025-08-28T16:25:22Z","title":"Cosmo-Learn: code for learning cosmology using different methods and mock data","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T14:43:16.418600Z"},"links":{"cited_paper":"/paper/2111.11462","citing_paper":"/paper/2508.20971"},"observation_digest":"sha256:fbc943a08558d5fe36a1f0059446fd09343a3d54555309ad9165c0a9a7b6e749","observation_id":"7d935ac5-5a02-4ab1-af2d-0d92b526973f","resolution":{"observed_at":"2026-08-05T14:43:16.418600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.11462","last_updated":"2022-02-23T08:41:47Z","snapshot_observed_at":"2026-08-03T10:18:08.318605Z","submitted_at":"2021-11-22T19:04:24Z","title":"Neural Network Reconstruction of Late-Time Cosmology and Null Tests","version":2},"cited_work":{"arxiv_id":"2111.11462","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.11462","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dialektopoulos, J","venue":null,"work_id":"53e6e37d-88f7-476d-a4e0-5543a00841ee","year":2022},"citing_paper":{"arxiv_id":"2604.22372","last_updated":"2026-04-29T12:27:15Z","snapshot_observed_at":"2026-07-06T23:08:47.078992Z","submitted_at":"2026-04-24T09:06:30Z","title":"Testing $\\Lambda$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-08T10:02:44.146079Z"},"links":{"cited_paper":"/paper/2111.11462","citing_paper":"/paper/2604.22372"},"observation_digest":"sha256:274e3857e5cdbb1e4bb1bc99af12aebf36d49f28199b7cabef164ebb8cbf316e","observation_id":"e6710a65-7fe2-4598-b7da-24787f5da4f6","resolution":{"observed_at":"2026-05-11T20:11:11.375446Z","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":"2111.11462","last_updated":"2022-02-23T08:41:47Z","snapshot_observed_at":"2026-08-03T10:18:08.318605Z","submitted_at":"2021-11-22T19:04:24Z","title":"Neural Network Reconstruction of Late-Time Cosmology and Null Tests","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.11462","snapshot_observed_at":"2026-07-14T03:00:21.146194Z","title":"Dialektopoulos, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.11813","last_updated":"2026-07-13T17:09:56Z","snapshot_observed_at":"2026-08-06T13:15:55.562159Z","submitted_at":"2026-07-13T17:09:56Z","title":"Breaking the Dark Sector Degeneracy with Nonparametric Expansion--Growth Reconstruction","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-14T03:00:21.146194Z"},"links":{"cited_paper":"/paper/2111.11462","citing_paper":"/paper/2607.11813"},"observation_digest":"sha256:22cd046d602b1bfe54759d8bd645672bc65ec3cc0dd0cc27e8b941bcce0599c3","observation_id":"c94e4929-6c0d-4709-bd39-609c3e9cad38","resolution":{"observed_at":"2026-07-14T03:00:21.146194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2111.11462/citation-record","integrity":"/paper/2111.11462/integrity","json":"/paper/2111.11462/citation-record.json","paper":"/paper/2111.11462"},"outbound":[],"paper":{"arxiv_id":"2111.11462","last_updated":"2022-02-23T08:41:47Z","latest_version":2,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-08-03T10:18:08.318605Z","submitted_at":"2021-11-22T19:04:24Z","title":"Neural Network Reconstruction of Late-Time Cosmology and Null Tests"},"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:2111.11462."}