{"as_of":"2026-08-18T13:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71f5aef9666ca688ddb01a0b15c8181d1018482a182c996edf3b7bafeb6d4dfd","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T19:15:10.254103Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T12:06:56.373675Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.05647","last_updated":"2022-01-14T19:47:46Z","snapshot_observed_at":"2026-08-18T06:53:32.883046Z","submitted_at":"2022-01-14T19:47:46Z","title":"Tools and Practices for Responsible AI Engineering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.05647","snapshot_observed_at":"2026-08-10T14:05:08.341348Z","title":"Tools and practices for responsible ai engineering,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.15691","last_updated":"2025-04-28T20:15:53Z","snapshot_observed_at":"2026-08-17T23:25:50.397790Z","submitted_at":"2025-01-26T22:38:04Z","title":"An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T14:05:08.341348Z"},"links":{"cited_paper":"/paper/2201.05647","citing_paper":"/paper/2501.15691"},"observation_digest":"sha256:b7d92f820d458820a2abb33123b2d4828ca972653922eb1ce537dc997a9c129c","observation_id":"fae1d577-6aca-4e5f-add6-6d39f9d15347","resolution":{"observed_at":"2026-08-10T14:05:08.341348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05647","last_updated":"2022-01-14T19:47:46Z","snapshot_observed_at":"2026-08-18T06:53:32.883046Z","submitted_at":"2022-01-14T19:47:46Z","title":"Tools and Practices for Responsible AI Engineering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.05647","snapshot_observed_at":"2026-08-15T19:15:10.254103Z","title":"CoRR abs/2201.05647 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.17133","last_updated":"2025-06-20T16:36:39Z","snapshot_observed_at":"2026-08-17T22:25:14.770516Z","submitted_at":"2025-06-20T16:36:39Z","title":"Robust Training with Data Augmentation for Medical Imaging Classification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T19:15:10.254103Z"},"links":{"cited_paper":"/paper/2201.05647","citing_paper":"/paper/2506.17133"},"observation_digest":"sha256:cf937fa28f5dfa68e1c46ff526ca0564bbf0df497d6c36b568c8f2ba1cd7a210","observation_id":"3f1f2ac3-e2ec-403a-ad62-4f4c06756e1a","resolution":{"observed_at":"2026-08-15T19:15:10.254103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05647","last_updated":"2022-01-14T19:47:46Z","snapshot_observed_at":"2026-08-18T06:53:32.883046Z","submitted_at":"2022-01-14T19:47:46Z","title":"Tools and Practices for Responsible AI Engineering","version":1},"cited_work":{"arxiv_id":"2201.05647","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05647","snapshot_observed_at":"2026-07-02T12:06:56.373675Z","title":"Tools and practices for responsible AI engineering.arXiv preprint arXiv:2201.05647, 2022","venue":null,"work_id":"77576f77-85db-4efa-9adf-4ba9ab1ed62a","year":2022},"citing_paper":{"arxiv_id":"2606.06458","last_updated":"2026-06-04T17:50:32Z","snapshot_observed_at":"2026-08-15T21:36:08.773890Z","submitted_at":"2026-06-04T17:50:32Z","title":"In-Context Multiple Instance Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-28T02:22:29.144090Z"},"links":{"cited_paper":"/paper/2201.05647","citing_paper":"/paper/2606.06458"},"observation_digest":"sha256:68618a5d54e3be11621c1c4de52b5aba48b5ff8cc01b9b5d17ffbfee90586345","observation_id":"8e1639fa-5702-46b1-bb37-5c591b72f10e","resolution":{"observed_at":"2026-07-02T12:06:56.375053Z","resolver_source":"arxiv_id","status":"verified_exact"},"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/2201.05647/citation-record","integrity":"/paper/2201.05647/integrity","json":"/paper/2201.05647/citation-record.json","paper":"/paper/2201.05647"},"outbound":[],"paper":{"arxiv_id":"2201.05647","last_updated":"2022-01-14T19:47:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T06:53:32.883046Z","submitted_at":"2022-01-14T19:47:46Z","title":"Tools and Practices for Responsible AI Engineering"},"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 3 inbound Pith citation observations for arXiv:2201.05647."}