{"as_of":"2026-08-17T01:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56354d3eacbd0c6fa5996203c8ebbbbc1315df638725522468c2c3c6e9425105","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:21:21.308070Z","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":"2026-08-16T00:12:12.604628Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.05138","last_updated":"2023-12-19T00:40:51Z","snapshot_observed_at":"2026-08-16T16:57:02.482132Z","submitted_at":"2023-09-10T21:15:42Z","title":"GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05138","snapshot_observed_at":"2026-08-16T12:21:21.308070Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12931","last_updated":"2025-04-17T13:28:01Z","snapshot_observed_at":"2026-08-16T16:57:44.771813Z","submitted_at":"2025-04-17T13:28:01Z","title":"Explainable AI in Usable Privacy and Security: Challenges and Opportunities","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:21:21.308070Z"},"links":{"cited_paper":"/paper/2309.05138","citing_paper":"/paper/2504.12931"},"observation_digest":"sha256:39799371adf299d1f18628ccbb9cffd5caf17f1659f210293c3184fbcad44aae","observation_id":"ac4b172b-5113-4b9e-9b1a-aec231d450ee","resolution":{"observed_at":"2026-08-16T12:21:21.308070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05138","last_updated":"2023-12-19T00:40:51Z","snapshot_observed_at":"2026-08-16T16:57:02.482132Z","submitted_at":"2023-09-10T21:15:42Z","title":"GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05138","snapshot_observed_at":"2026-08-16T10:31:25.500732Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17934","last_updated":"2025-06-05T12:40:53Z","snapshot_observed_at":"2026-08-16T13:45:30.946257Z","submitted_at":"2025-04-24T20:51:20Z","title":"Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T10:31:25.500732Z"},"links":{"cited_paper":"/paper/2309.05138","citing_paper":"/paper/2504.17934"},"observation_digest":"sha256:a511de510bf6a7886a53ffce6cb4069832aeb0f52fd49e1e885f58bf7c50ec46","observation_id":"879ec615-eb0c-4bba-8e24-5b23d776111d","resolution":{"observed_at":"2026-08-16T10:31:25.500732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05138","last_updated":"2023-12-19T00:40:51Z","snapshot_observed_at":"2026-08-16T16:57:02.482132Z","submitted_at":"2023-09-10T21:15:42Z","title":"GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05138","snapshot_observed_at":"2026-08-02T11:01:28.177127Z","title":"Genaipabench: A benchmark for generative ai-based privacy assistants,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22621","last_updated":"2026-06-17T02:43:58Z","snapshot_observed_at":"2026-08-08T07:34:03.579917Z","submitted_at":"2026-06-17T02:43:58Z","title":"Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T11:01:28.177127Z"},"links":{"cited_paper":"/paper/2309.05138","citing_paper":"/paper/2607.22621"},"observation_digest":"sha256:2b2ef7bafd241097b8618dfa8f954387126bd3c296b9a6503e380e8a9b69fa39","observation_id":"bf78b49d-0123-4969-82f0-9dc91b0718bd","resolution":{"observed_at":"2026-08-02T11:01:28.177127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05138","last_updated":"2023-12-19T00:40:51Z","snapshot_observed_at":"2026-08-16T16:57:02.482132Z","submitted_at":"2023-09-10T21:15:42Z","title":"GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants","version":3},"cited_work":{"arxiv_id":"2309.05138","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.05138","snapshot_observed_at":"2026-08-16T00:12:12.604628Z","title":"GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants","venue":"cs.CR","work_id":"f326ea44-8271-470a-944a-f1f8118827a5","year":2023},"citing_paper":{"arxiv_id":"2608.12511","last_updated":"2026-08-12T18:39:57Z","snapshot_observed_at":"2026-08-16T23:10:29.586364Z","submitted_at":"2026-08-12T18:39:57Z","title":"SoK: From Generation to Consumption of Privacy Documents in Software Systems","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-16T00:12:11.859483Z"},"links":{"cited_paper":"/paper/2309.05138","citing_paper":"/paper/2608.12511"},"observation_digest":"sha256:c71a93488c4fe395dab6bbbcdc73f3ace817146ad4162afd40916cc9c9438b7f","observation_id":"bd7ba186-0349-471a-a62e-e08e96a7187d","resolution":{"observed_at":"2026-08-16T00:12:12.610177Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.05138/citation-record","integrity":"/paper/2309.05138/integrity","json":"/paper/2309.05138/citation-record.json","paper":"/paper/2309.05138"},"outbound":[],"paper":{"arxiv_id":"2309.05138","last_updated":"2023-12-19T00:40:51Z","latest_version":3,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-16T16:57:02.482132Z","submitted_at":"2023-09-10T21:15:42Z","title":"GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.05138."}