{"as_of":"2026-08-19T19:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:68d99b83682cb40438bcb79c25a4603a4c97312977f9f9176b01284547f4861b","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":"2026-08-19T06:32:44.657259+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":"2026-08-12T21:18:20.079067Z","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":"2026-08-12T21:18:20.330065Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1803.04383","last_updated":"2018-04-07T20:34:16Z","snapshot_observed_at":"2026-08-14T19:37:03.734075Z","submitted_at":"2018-03-12T17:20:56Z","title":"Delayed Impact of Fair Machine Learning","version":2},"cited_work":{"arxiv_id":"1803.04383","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.04383","snapshot_observed_at":"2026-08-12T21:18:20.330065Z","title":"Delayed Impact of Fair Machine Learning","venue":"cs.LG","work_id":"a86ba60b-4132-4372-9f4d-c246501a3ab5","year":2018},"citing_paper":{"arxiv_id":"2411.08998","last_updated":"2025-04-10T21:42:32Z","snapshot_observed_at":"2026-08-18T23:14:25.325913Z","submitted_at":"2024-11-13T19:37:49Z","title":"Microfoundation Inference for Strategic Prediction","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T21:18:20.079067Z"},"links":{"cited_paper":"/paper/1803.04383","citing_paper":"/paper/2411.08998"},"observation_digest":"sha256:aa50bff0d7cf01751970730b324f65d3283d1fffd97d5698a97b297ea9714bde","observation_id":"5f3fbf8c-1e16-43b9-8ffc-83436ec1c328","resolution":{"observed_at":"2026-08-12T21:18:20.335953Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1803.04383/citation-record","integrity":"/paper/1803.04383/integrity","json":"/paper/1803.04383/citation-record.json","paper":"/paper/1803.04383"},"outbound":[],"paper":{"arxiv_id":"1803.04383","last_updated":"2018-04-07T20:34:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T19:37:03.734075Z","submitted_at":"2018-03-12T17:20:56Z","title":"Delayed Impact of Fair Machine 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1803.04383."}