{"as_of":"2026-08-12T09:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2766c3b87da58c57cd5e04b888decb54c38bef14daffadca52d80ccbca024c12","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:56:29.915961Z","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":"2026-08-07T00:34:04.614744Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.04135","last_updated":"2019-10-03T17:00:59Z","snapshot_observed_at":"2026-07-06T08:06:32.241881Z","submitted_at":"2019-07-09T13:16:24Z","title":"The What-If Tool: Interactive Probing of Machine Learning Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.04135","snapshot_observed_at":"2026-08-10T21:56:29.915961Z","title":"Vi \\' e gas, and Jimbo Wilson","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2501.03112","last_updated":"2025-01-06T16:20:44Z","snapshot_observed_at":"2026-08-11T10:05:22.511906Z","submitted_at":"2025-01-06T16:20:44Z","title":"LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T21:56:29.915961Z"},"links":{"cited_paper":"/paper/1907.04135","citing_paper":"/paper/2501.03112"},"observation_digest":"sha256:4909bf5be9e01cb3f5e4630d819729358d4e1282d4a4373b22f4b8eb4639ec79","observation_id":"9f95aa82-3cc5-4939-b64e-b9ecb9a5182d","resolution":{"observed_at":"2026-08-10T21:56:29.915961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.04135","last_updated":"2019-10-03T17:00:59Z","snapshot_observed_at":"2026-07-06T08:06:32.241881Z","submitted_at":"2019-07-09T13:16:24Z","title":"The What-If Tool: Interactive Probing of Machine Learning Models","version":2},"cited_work":{"arxiv_id":"1907.04135","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.04135","snapshot_observed_at":"2026-08-07T00:34:04.614744Z","title":"The What-If Tool: Interactive Probing of Machine Learning Models","venue":"cs.LG","work_id":"a9a7b24e-c974-4f42-9068-a1bf25b4e7df","year":2019},"citing_paper":{"arxiv_id":"2506.13875","last_updated":"2025-06-16T18:00:12Z","snapshot_observed_at":"2026-08-10T12:58:05.754697Z","submitted_at":"2025-06-16T18:00:12Z","title":"Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks","version":1},"reference_index":207,"source":"arxiv_source","source_observed_at":"2026-08-07T00:34:01.904983Z"},"links":{"cited_paper":"/paper/1907.04135","citing_paper":"/paper/2506.13875"},"observation_digest":"sha256:07378e438591ddbb6d181ebf9b5bcfcedaf8776fee7ba5545fa6f0b3c25dcbda","observation_id":"3ac4d619-a65e-4eb3-ab57-27645713b016","resolution":{"observed_at":"2026-08-07T00:34:04.729944Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1907.04135/citation-record","integrity":"/paper/1907.04135/integrity","json":"/paper/1907.04135/citation-record.json","paper":"/paper/1907.04135"},"outbound":[],"paper":{"arxiv_id":"1907.04135","last_updated":"2019-10-03T17:00:59Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:06:32.241881Z","submitted_at":"2019-07-09T13:16:24Z","title":"The What-If Tool: Interactive Probing of Machine Learning Models"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.04135."}