{"as_of":"2026-08-06T14:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b0942a4a3b852f22044e4075b17fa07c1211d8748549a2ee5819ea9d1809ea5","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T20:45:15.226889Z","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":"2405.13888","last_updated":"2025-02-03T08:58:49Z","snapshot_observed_at":"2026-07-06T18:18:07.839497Z","submitted_at":"2024-05-22T18:00:41Z","title":"Marrying Causal Representation Learning with Dynamical Systems for Science","version":3},"cited_work":{"arxiv_id":"2405.13888","doi":"10.48550/arxiv.2405.13888","metadata_source":"arxiv_reference","pith_arxiv_id":"2405.13888","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Marrying","venue":"arXiv (Cornell University)","work_id":"84989de0-09c2-4321-b090-18eced9f89ef","year":null},"citing_paper":{"arxiv_id":"2606.19594","last_updated":"2026-06-17T20:56:44Z","snapshot_observed_at":"2026-08-02T12:17:21.328593Z","submitted_at":"2026-06-17T20:56:44Z","title":"Unsupervised Causal Abstractions Discovery","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-06-26T20:45:15.226889Z"},"links":{"cited_paper":"/paper/2405.13888","citing_paper":"/paper/2606.19594"},"observation_digest":"sha256:a4a7f6921bcbb02672bbf1163c924a7ac151510ac4db84ae2db3cb89cf8df0e7","observation_id":"5266c65e-b99c-4824-8d9e-12927bbc763c","resolution":{"observed_at":"2026-06-26T20:49:57.319957Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2405.13888/citation-record","integrity":"/paper/2405.13888/integrity","json":"/paper/2405.13888/citation-record.json","paper":"/paper/2405.13888"},"outbound":[],"paper":{"arxiv_id":"2405.13888","last_updated":"2025-02-03T08:58:49Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:18:07.839497Z","submitted_at":"2024-05-22T18:00:41Z","title":"Marrying Causal Representation Learning with Dynamical Systems for Science"},"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":"2026-08-06T06:34:29.942622+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 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.13888."}