{"as_of":"2026-08-10T06:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:497fb6395790c3ba158a08acaa0d593a04e074bf649d58ac2cccffccfc28f294","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":"2026-08-10T06:31:04.303077+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":"2026-08-08T11:08:24.217434Z","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":"2026-05-12T09:26:26.160845Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.05935","last_updated":"2021-09-05T11:35:06Z","snapshot_observed_at":"2026-07-06T11:37:55.847817Z","submitted_at":"2021-08-12T19:22:27Z","title":"Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05935","snapshot_observed_at":"2026-08-08T11:08:24.217434Z","title":"Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.08669","last_updated":"2025-02-12T00:27:49Z","snapshot_observed_at":"2026-08-08T17:36:21.919755Z","submitted_at":"2025-02-12T00:27:49Z","title":"Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T11:08:24.217434Z"},"links":{"cited_paper":"/paper/2108.05935","citing_paper":"/paper/2502.08669"},"observation_digest":"sha256:495acb1445654b7fc6bcc278b2ad6108343f3788b61355d1cc2e71d82e037561","observation_id":"6eb22d96-ad66-434b-986f-e5bd8a9f0963","resolution":{"observed_at":"2026-08-08T11:08:24.217434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05935","last_updated":"2021-09-05T11:35:06Z","snapshot_observed_at":"2026-07-06T11:37:55.847817Z","submitted_at":"2021-08-12T19:22:27Z","title":"Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05935","snapshot_observed_at":"2026-08-07T13:02:18.929205Z","title":"Data quality toolkit: Automatic assessment of data quality and remediation for machine learning datasets,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23849","last_updated":"2025-08-11T15:34:12Z","snapshot_observed_at":"2026-08-07T16:49:15.745368Z","submitted_at":"2025-05-28T21:24:46Z","title":"CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:02:18.929205Z"},"links":{"cited_paper":"/paper/2108.05935","citing_paper":"/paper/2505.23849"},"observation_digest":"sha256:c64d4a9b40e01bef316257e4bcda61a6066db2cc4af50870f75b52c894a41b92","observation_id":"d92aec5c-460c-40d6-a976-0c1f5b8e7637","resolution":{"observed_at":"2026-08-07T13:02:18.929205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05935","last_updated":"2021-09-05T11:35:06Z","snapshot_observed_at":"2026-07-06T11:37:55.847817Z","submitted_at":"2021-08-12T19:22:27Z","title":"Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets","version":2},"cited_work":{"arxiv_id":"2108.05935","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2108.05935","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2108.05935 (2021)","venue":null,"work_id":"ae39b00d-bb8d-4388-8a12-80667fa44f06","year":2021},"citing_paper":{"arxiv_id":"2604.26645","last_updated":"2026-05-28T14:48:42Z","snapshot_observed_at":"2026-07-06T23:12:15.279847Z","submitted_at":"2026-04-29T13:11:53Z","title":"SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-07T10:54:22.054202Z"},"links":{"cited_paper":"/paper/2108.05935","citing_paper":"/paper/2604.26645"},"observation_digest":"sha256:07f9187e27a6ed69d7ab47b417b72c9049261abbd3f1c8436370202efe1bfb81","observation_id":"a5898bdd-9f7c-4ccd-a0e7-6179485d0d53","resolution":{"observed_at":"2026-05-12T09:26:26.162542Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2108.05935/citation-record","integrity":"/paper/2108.05935/integrity","json":"/paper/2108.05935/citation-record.json","paper":"/paper/2108.05935"},"outbound":[],"paper":{"arxiv_id":"2108.05935","last_updated":"2021-09-05T11:35:06Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:37:55.847817Z","submitted_at":"2021-08-12T19:22:27Z","title":"Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.05935."}