{"as_of":"2026-08-07T07:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8a2751a02896a1e442f9fc88c326b8f775453fcde79ef8de8cc65efcc738a323","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T23:54:53.991777Z","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":"2026-08-06T23:54:55.013556Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.11828","last_updated":"2021-05-25T10:53:58Z","snapshot_observed_at":"2026-07-06T11:12:31.688359Z","submitted_at":"2021-05-25T10:53:58Z","title":"Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability","version":1},"cited_work":{"arxiv_id":"2105.11828","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.11828","snapshot_observed_at":"2026-08-06T23:54:55.013556Z","title":"Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability","venue":"cs.AI","work_id":"9d68d169-f8c0-4524-99e7-5b9f40a2552d","year":2021},"citing_paper":{"arxiv_id":"2506.15850","last_updated":"2025-09-10T18:24:50Z","snapshot_observed_at":"2026-08-06T23:47:52.699130Z","submitted_at":"2025-06-18T20:00:20Z","title":"Uncertainty Estimation by Human Perception versus Neural Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:54:53.991777Z"},"links":{"cited_paper":"/paper/2105.11828","citing_paper":"/paper/2506.15850"},"observation_digest":"sha256:5e2df680cd212203c41f6ae15a2157750952aa0dadd207084aa6a26f2c02ee36","observation_id":"2eaf1b36-8e25-4cc6-81b2-ef0c5a7763cb","resolution":{"observed_at":"2026-08-06T23:54:55.091125Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.11828","last_updated":"2021-05-25T10:53:58Z","snapshot_observed_at":"2026-07-06T11:12:31.688359Z","submitted_at":"2021-05-25T10:53:58Z","title":"Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.11828","snapshot_observed_at":"2026-08-04T19:54:59.343561Z","title":"arXiv preprint arXiv:2105.11828 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08989","last_updated":"2025-09-10T20:37:39Z","snapshot_observed_at":"2026-08-06T18:15:40.040156Z","submitted_at":"2025-09-10T20:37:39Z","title":"Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T19:54:59.343561Z"},"links":{"cited_paper":"/paper/2105.11828","citing_paper":"/paper/2509.08989"},"observation_digest":"sha256:8eb979c6571e2758b6a0a80822df95b2c9e34434c5833160c55c50425736b25e","observation_id":"27f1d556-8703-4482-985e-0d8dec499b4c","resolution":{"observed_at":"2026-08-04T19:54:59.343561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2105.11828/citation-record","integrity":"/paper/2105.11828/integrity","json":"/paper/2105.11828/citation-record.json","paper":"/paper/2105.11828"},"outbound":[],"paper":{"arxiv_id":"2105.11828","last_updated":"2021-05-25T10:53:58Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T11:12:31.688359Z","submitted_at":"2021-05-25T10:53:58Z","title":"Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.11828."}