{"as_of":"2026-08-07T12:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2225ce74618562a9ff77de5a7894b93ce4f7a496d959108faeda5bb719b28476","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":"2026-08-07T06:34:17.273281+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":"2309.13167","last_updated":"2023-09-22T20:15:37Z","snapshot_observed_at":"2026-08-07T06:14:19.943527Z","submitted_at":"2023-09-22T20:15:37Z","title":"Flow Factorized Representation Learning","version":1},"cited_work":{"arxiv_id":"2309.13167","doi":"10.48550/arxiv.2309.13167","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.13167","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Anderson and Sebe, Nicu and Welling, Max , year =","venue":"arXiv (Cornell University)","work_id":"f9aa4c69-5409-43c3-893f-dd8fe3e6e46c","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":67,"source":"arxiv_source","source_observed_at":"2026-06-26T20:45:15.226889Z"},"links":{"cited_paper":"/paper/2309.13167","citing_paper":"/paper/2606.19594"},"observation_digest":"sha256:e0b498d26f783aa126fe61b6abb307445ea29380adae8905d76d7201f8ecaf4a","observation_id":"06fe3a71-c507-4e22-91ba-75b3fc84a654","resolution":{"observed_at":"2026-06-26T20:49:57.422952Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2309.13167/citation-record","integrity":"/paper/2309.13167/integrity","json":"/paper/2309.13167/citation-record.json","paper":"/paper/2309.13167"},"outbound":[],"paper":{"arxiv_id":"2309.13167","last_updated":"2023-09-22T20:15:37Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T06:14:19.943527Z","submitted_at":"2023-09-22T20:15:37Z","title":"Flow Factorized Representation 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 1 inbound Pith citation observation for arXiv:2309.13167."}