{"as_of":"2026-08-11T11:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:589748889b71f8216dc7aceb679a5e2da9e1d76d28ce11fe76472bcef236248d","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T15:23:26.461740Z","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":"1910.02190","last_updated":"2019-10-09T11:55:48Z","snapshot_observed_at":"2026-08-04T03:23:33.254257Z","submitted_at":"2019-10-05T01:29:54Z","title":"Kornia: an Open Source Differentiable Computer Vision Library for PyTorch","version":2},"cited_work":{"arxiv_id":"1910.02190","doi":"10.48550/arxiv.1910.02190","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.02190","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Bradski, G","venue":"arXiv (Cornell University)","work_id":"6f061ff9-fe83-42b6-b217-9ad46a70fc92","year":2019},"citing_paper":{"arxiv_id":"2211.02701","last_updated":"2022-11-04T18:35:00Z","snapshot_observed_at":"2026-07-06T14:14:38.788226Z","submitted_at":"2022-11-04T18:35:00Z","title":"MONAI: An open-source framework for deep learning in healthcare","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T22:54:28.586736Z"},"links":{"cited_paper":"/paper/1910.02190","citing_paper":"/paper/2211.02701"},"observation_digest":"sha256:0f40632c96245f687584d54783aa1153cd667b1755185b09cca5de90a7bb72b4","observation_id":"e644c632-24d0-4654-8ab7-026215f3ed96","resolution":{"observed_at":"2026-05-13T22:54:28.650281Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.02190","last_updated":"2019-10-09T11:55:48Z","snapshot_observed_at":"2026-08-04T03:23:33.254257Z","submitted_at":"2019-10-05T01:29:54Z","title":"Kornia: an Open Source Differentiable Computer Vision Library for PyTorch","version":2},"cited_work":{"arxiv_id":"1910.02190","doi":"10.48550/arxiv.1910.02190","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.02190","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Bradski, G","venue":"arXiv (Cornell University)","work_id":"6f061ff9-fe83-42b6-b217-9ad46a70fc92","year":2019},"citing_paper":{"arxiv_id":"2604.02457","last_updated":"2026-04-02T18:41:29Z","snapshot_observed_at":"2026-08-10T20:43:19.231885Z","submitted_at":"2026-04-02T18:41:29Z","title":"Street-Legal Physical-World Adversarial Rim for License Plates","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-13T21:19:05.599647Z"},"links":{"cited_paper":"/paper/1910.02190","citing_paper":"/paper/2604.02457"},"observation_digest":"sha256:607a8ea2c77e09e25d43f79d99beefb6f96a071dc5b74d731169502d2280f53b","observation_id":"2093fb9b-f65e-4218-b09e-29c6153270ad","resolution":{"observed_at":"2026-05-13T21:23:17.205697Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.02190","last_updated":"2019-10-09T11:55:48Z","snapshot_observed_at":"2026-08-04T03:23:33.254257Z","submitted_at":"2019-10-05T01:29:54Z","title":"Kornia: an Open Source Differentiable Computer Vision Library for PyTorch","version":2},"cited_work":{"arxiv_id":"1910.02190","doi":"10.48550/arxiv.1910.02190","metadata_source":"arxiv_reference","pith_arxiv_id":"1910.02190","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Bradski, G","venue":"arXiv (Cornell University)","work_id":"6f061ff9-fe83-42b6-b217-9ad46a70fc92","year":2019},"citing_paper":{"arxiv_id":"2606.02267","last_updated":"2026-06-01T13:53:39Z","snapshot_observed_at":"2026-08-08T03:33:53.833251Z","submitted_at":"2026-06-01T13:53:39Z","title":"A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-28T15:23:26.461740Z"},"links":{"cited_paper":"/paper/1910.02190","citing_paper":"/paper/2606.02267"},"observation_digest":"sha256:87cb415a3e64dd481f3146da3ae0bfa2d6dbe22291f58e338bba567ca41bf2ea","observation_id":"793f6c18-4d57-477c-84fe-1a98b8e4fae0","resolution":{"observed_at":"2026-07-01T22:26:17.825548Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1910.02190/citation-record","integrity":"/paper/1910.02190/integrity","json":"/paper/1910.02190/citation-record.json","paper":"/paper/1910.02190"},"outbound":[],"paper":{"arxiv_id":"1910.02190","last_updated":"2019-10-09T11:55:48Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T03:23:33.254257Z","submitted_at":"2019-10-05T01:29:54Z","title":"Kornia: an Open Source Differentiable Computer Vision Library for PyTorch"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.02190."}