{"as_of":"2026-08-11T04:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:19e368f26709bdec2d05b1125cca81864d781719266e5e33fc701b8b3591ca0c","coverage":[{"denominator":6,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:02:00.997915Z","state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.14868/citation-record","integrity":"/paper/2502.14868/integrity","json":"/paper/2502.14868/citation-record.json","paper":"/paper/2502.14868"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:02:00.975435Z","title":"AI has already started to streamline mundane tasks, advance critical domains of scientific research and disrupt professions and in dustries","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T15:02:00.975435Z"},"links":{"citing_paper":"/paper/2502.14868"},"observation_digest":"sha256:b59ae8dac561f3e7ac4c47c1f81f4541258fe922f75a422af2a33fcc12b90208","observation_id":"6f3a75a4-32f2-44cd-84e0-852cfc0cc4ed","resolution":{"observed_at":"2026-08-10T15:02:00.975435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:02:00.979926Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T15:02:00.979926Z"},"links":{"citing_paper":"/paper/2502.14868"},"observation_digest":"sha256:e32f69bf0e4a52af2756401662e2bcc9f13db0a7c9b4e222a4397a245aaba4c7","observation_id":"653ec2e6-ee6e-4ba6-9990-edad48682da6","resolution":{"observed_at":"2026-08-10T15:02:00.979926Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.07584","last_updated":"2020-07-15T10:05:05Z","snapshot_observed_at":"2026-08-08T19:45:20.337783Z","submitted_at":"2020-07-15T10:05:05Z","title":"On quantitative aspects of model interpretability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.07584","snapshot_observed_at":"2026-08-10T15:02:00.983770Z","title":"Although XAI lacks a commonly agreed definition, it can be broadly described as AI techniques that enable human users to comprehend, trust and manage AI effectively","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T15:02:00.983770Z"},"links":{"cited_paper":"/paper/2007.07584","citing_paper":"/paper/2502.14868"},"observation_digest":"sha256:117147d210583aa15b11283cf2ac08caad30f4583bf0156a9a2c049360b26e12","observation_id":"f08c70ed-25ab-4bd5-9901-6fee59f1e353","resolution":{"observed_at":"2026-08-10T15:02:00.983770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.00950","last_updated":"2021-04-02T09:14:00Z","snapshot_observed_at":"2026-08-09T20:28:17.305240Z","submitted_at":"2021-04-02T09:14:00Z","title":"Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.00950","snapshot_observed_at":"2026-08-10T15:02:00.988035Z","title":"As AI models grow in size and complexity, so do the practical obstacles to producing XAI models that remain understandable and trustworthy","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T15:02:00.988035Z"},"links":{"cited_paper":"/paper/2104.00950","citing_paper":"/paper/2502.14868"},"observation_digest":"sha256:2b661a8ddcb621ef3aec1757a8c2e6abdd52364e068bd18cdcf5c9a51534e8a8","observation_id":"1b1ac4c7-a59d-4204-9d06-24ed177828ec","resolution":{"observed_at":"2026-08-10T15:02:00.988035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.07567","last_updated":"2016-11-22T22:36:31Z","snapshot_observed_at":"2026-08-10T19:35:39.837684Z","submitted_at":"2016-11-22T22:36:31Z","title":"Feature Importance Measure for Non-linear Learning Algorithms","version":1},"cited_work":{"arxiv_id":"1611.07567","doi":null,"metadata_source":"pith","pith_arxiv_id":"1611.07567","snapshot_observed_at":"2026-08-10T15:02:01.026388Z","title":"Feature Importance Measure for Non-linear Learning Algorithms","venue":"cs.AI","work_id":"aaf0b393-dc2d-47f1-b8cb-c7e51e58b398","year":2016},"citing_paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T15:02:00.993675Z"},"links":{"cited_paper":"/paper/1611.07567","citing_paper":"/paper/2502.14868"},"observation_digest":"sha256:7d71fa51de178620e0cb3222310349a76ebefd15efce083fb7a23f934d90e016","observation_id":"13bec5f1-1458-41b5-8dd9-048f27d79044","resolution":{"observed_at":"2026-08-10T15:02:01.032842Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1108/oxan-db261321","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:02:01.150981Z","title":"It is a principle with far -reaching societal implications, as it can foster trust and empower the public to engage with AI technologies more actively","venue":null,"work_id":"76f4d6f1-99cd-4be6-b7d8-f08d489a94c5","year":2019},"citing_paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T15:02:00.997915Z"},"links":{"citing_paper":"/paper/2502.14868"},"observation_digest":"sha256:ae33d9499c1e59df25a8dc0f3a2b6b67452fa04e3e9c5d3115c9ce9ec738bd6c","observation_id":"a27cacf7-33ad-4acb-8c47-254688e1def7","resolution":{"observed_at":"2026-08-10T15:02:01.157438Z","resolver_source":"doi","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"}}],"paper":{"arxiv_id":"2502.14868","last_updated":"2025-01-24T16:30:19Z","latest_version":1,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-10T14:56:36.061646Z","submitted_at":"2025-01-24T16:30:19Z","title":"Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI"},"reference_resolution":{"displayed":6,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":6},"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 11 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2502.14868."}