{"as_of":"2026-08-22T10:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dfb5bda3cee83bda82528bf33d51161ff29cf47ba480e7092c8b3ca622a5371f","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T06:01:21.931756Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2503.16586","last_updated":"2025-06-10T12:45:18Z","snapshot_observed_at":"2026-08-19T05:25:13.151251Z","submitted_at":"2025-03-20T16:21:47Z","title":"Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI Assistants","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16586","snapshot_observed_at":"2026-07-12T06:01:21.931756Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02932","last_updated":"2026-07-03T03:59:34Z","snapshot_observed_at":"2026-08-17T00:13:30.161572Z","submitted_at":"2026-07-03T03:59:34Z","title":"PromptPET: Privacy-Utility Optimized Prompt Obfuscation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-12T06:01:21.931756Z"},"links":{"cited_paper":"/paper/2503.16586","citing_paper":"/paper/2607.02932"},"observation_digest":"sha256:f7cfbff64152db0a54a5c85c3f871b95bbf2a32758c051df5ac5df3b8d559a83","observation_id":"dbb21fe9-e12e-4c65-a938-aeec8b265b2e","resolution":{"observed_at":"2026-07-12T06:01:21.931756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.16586/citation-record","integrity":"/paper/2503.16586/integrity","json":"/paper/2503.16586/citation-record.json","paper":"/paper/2503.16586"},"outbound":[],"paper":{"arxiv_id":"2503.16586","last_updated":"2025-06-10T12:45:18Z","latest_version":2,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-19T05:25:13.151251Z","submitted_at":"2025-03-20T16:21:47Z","title":"Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.16586."}