{"as_of":"2026-08-13T12:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51247f1667c92524801a36fd2292a15cf527c3f9cf478aef91bea7e05d7e6ab0","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":"2026-08-13T06:32:02.005865+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":"2026-08-10T20:55:44.379899Z","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":"2026-08-10T20:55:44.568945Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.01166","last_updated":"2020-08-25T13:22:34Z","snapshot_observed_at":"2026-07-06T07:57:40.237841Z","submitted_at":"2019-06-04T02:40:38Z","title":"Interpretable Neural Network Decoupling","version":2},"cited_work":{"arxiv_id":"1906.01166","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.01166","snapshot_observed_at":"2026-08-10T20:55:44.568945Z","title":"Interpretable Neural Network Decoupling","venue":"cs.CV","work_id":"73d8f21c-b100-4e22-8bf7-131e59ac91d2","year":2019},"citing_paper":{"arxiv_id":"2501.06831","last_updated":"2025-01-12T14:54:02Z","snapshot_observed_at":"2026-08-12T21:10:39.649084Z","submitted_at":"2025-01-12T14:54:02Z","title":"Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:55:44.379899Z"},"links":{"cited_paper":"/paper/1906.01166","citing_paper":"/paper/2501.06831"},"observation_digest":"sha256:243d6560a5eb05f2dcddb46d69b15c45f01e9ed2b87953d2a28e3eea1eecc64d","observation_id":"a938fb2e-4805-41f4-b0df-260933eeb090","resolution":{"observed_at":"2026-08-10T20:55:44.572596Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1906.01166/citation-record","integrity":"/paper/1906.01166/integrity","json":"/paper/1906.01166/citation-record.json","paper":"/paper/1906.01166"},"outbound":[],"paper":{"arxiv_id":"1906.01166","last_updated":"2020-08-25T13:22:34Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T07:57:40.237841Z","submitted_at":"2019-06-04T02:40:38Z","title":"Interpretable Neural Network Decoupling"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1906.01166."}