{"as_of":"2026-08-14T18:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3cf1e0bab372fa9af4065443f5ab98cc16aabc7215bbc4059f546f8b9049c00f","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T16:59:00.197639Z","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":"2026-08-05T13:19:15.359060Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.13268","last_updated":"2019-10-29T13:48:17Z","snapshot_observed_at":"2026-08-14T16:28:53.734762Z","submitted_at":"2019-10-29T13:48:17Z","title":"Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.13268","snapshot_observed_at":"2026-08-11T16:59:00.197639Z","title":"https://doi.org/10.48550/arXiv.1910.13268 arXiv:1910.13268 [cs] E","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2412.09668","last_updated":"2025-03-20T15:50:45Z","snapshot_observed_at":"2026-08-12T23:49:50.182088Z","submitted_at":"2024-12-12T18:53:49Z","title":"Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-11T16:59:00.197639Z"},"links":{"cited_paper":"/paper/1910.13268","citing_paper":"/paper/2412.09668"},"observation_digest":"sha256:d5a2497999b217b8e6a5a8e4bcd7cbe13d71197da4791df09606437035bd8a1f","observation_id":"9e2ed152-05c6-4ed6-944c-0a272e693916","resolution":{"observed_at":"2026-08-11T16:59:00.197639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.13268","last_updated":"2019-10-29T13:48:17Z","snapshot_observed_at":"2026-08-14T16:28:53.734762Z","submitted_at":"2019-10-29T13:48:17Z","title":"Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.13268","snapshot_observed_at":"2026-08-07T04:09:06.931640Z","title":"Estimating skin tone and effects on classifi- cation performance in dermatology datasets","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2506.11627","last_updated":"2025-06-13T09:54:01Z","snapshot_observed_at":"2026-08-14T01:58:16.248885Z","submitted_at":"2025-06-13T09:54:01Z","title":"Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-07T04:09:06.931640Z"},"links":{"cited_paper":"/paper/1910.13268","citing_paper":"/paper/2506.11627"},"observation_digest":"sha256:8a5d5ec5266eb2a9ca08ed4e4bb9f0add6f508e3488fefd12140f784327ddf98","observation_id":"57f5422e-e653-4f9a-97be-d4d5cd147729","resolution":{"observed_at":"2026-08-07T04:09:06.931640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.13268","last_updated":"2019-10-29T13:48:17Z","snapshot_observed_at":"2026-08-14T16:28:53.734762Z","submitted_at":"2019-10-29T13:48:17Z","title":"Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets","version":1},"cited_work":{"arxiv_id":"1910.13268","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.13268","snapshot_observed_at":"2026-08-05T13:19:15.359060Z","title":"Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets","venue":"cs.CV","work_id":"e323faf9-d2af-431c-90cb-85d4dc317349","year":2019},"citing_paper":{"arxiv_id":"2509.00745","last_updated":"2025-08-31T08:36:51Z","snapshot_observed_at":"2026-08-10T17:53:06.728614Z","submitted_at":"2025-08-31T08:36:51Z","title":"Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:19:10.752762Z"},"links":{"cited_paper":"/paper/1910.13268","citing_paper":"/paper/2509.00745"},"observation_digest":"sha256:b41c07515c4ebed9d114a71f53e7a07bde9c309fca1f949701c6b38ca8d56301","observation_id":"41b3d2d6-a9f7-4510-9902-1e77c5fcab19","resolution":{"observed_at":"2026-08-05T13:19:15.442439Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1910.13268/citation-record","integrity":"/paper/1910.13268/integrity","json":"/paper/1910.13268/citation-record.json","paper":"/paper/1910.13268"},"outbound":[],"paper":{"arxiv_id":"1910.13268","last_updated":"2019-10-29T13:48:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T16:28:53.734762Z","submitted_at":"2019-10-29T13:48:17Z","title":"Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.13268."}