{"as_of":"2026-08-18T23:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cded3eeb9aa7429a21504f8501c8a9c51c9512db3667833f28e5f7065224ed65","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T21:43:06.587769Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T21:43:08.389532Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.15595","last_updated":"2021-12-31T18:57:37Z","snapshot_observed_at":"2026-08-18T15:49:31.339142Z","submitted_at":"2021-12-31T18:57:37Z","title":"Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates","version":1},"cited_work":{"arxiv_id":"2112.15595","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.15595","snapshot_observed_at":"2026-08-15T21:43:08.389532Z","title":"Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates","venue":"stat.ML","work_id":"a34e3bec-dd7d-441e-9387-8020dcdc12f6","year":2021},"citing_paper":{"arxiv_id":"2505.09660","last_updated":"2025-05-14T12:59:04Z","snapshot_observed_at":"2026-08-15T23:36:06.048274Z","submitted_at":"2025-05-14T12:59:04Z","title":"On Measuring Intrinsic Causal Attributions in Deep Neural Networks","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T21:43:06.587769Z"},"links":{"cited_paper":"/paper/2112.15595","citing_paper":"/paper/2505.09660"},"observation_digest":"sha256:b1fd3207b7cf54fc9cd7948b159d293eb88b20369365568ff9142d1e9bb798b9","observation_id":"b47a728a-bc72-46c0-8608-f40fcfd807c2","resolution":{"observed_at":"2026-08-15T21:43:08.395996Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.15595/citation-record","integrity":"/paper/2112.15595/integrity","json":"/paper/2112.15595/citation-record.json","paper":"/paper/2112.15595"},"outbound":[],"paper":{"arxiv_id":"2112.15595","last_updated":"2021-12-31T18:57:37Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-18T15:49:31.339142Z","submitted_at":"2021-12-31T18:57:37Z","title":"Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.15595."}