{"as_of":"2026-08-07T17:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:73a2ed0e887cfbcd860f63ead44c6a562581ac21f993b9db6c2576219537fa5f","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":"2026-08-07T00:46:09.890879Z","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":"2026-05-10T11:40:19.174044Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.12465","last_updated":"2025-01-21T19:22:45Z","snapshot_observed_at":"2026-08-07T13:51:35.908214Z","submitted_at":"2025-01-21T19:22:45Z","title":"Adaptive PII Mitigation Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12465","snapshot_observed_at":"2026-08-07T00:46:09.890879Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12699","last_updated":"2025-06-19T06:30:24Z","snapshot_observed_at":"2026-08-07T00:57:05.301160Z","submitted_at":"2025-06-15T03:14:03Z","title":"SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:46:09.890879Z"},"links":{"cited_paper":"/paper/2501.12465","citing_paper":"/paper/2506.12699"},"observation_digest":"sha256:2c9eb076641b6a788d56559e63f50c3be341164999b63b8014e1a8d1d8488f12","observation_id":"e4a8f076-ba4e-45d7-90ee-90f9bfe1958c","resolution":{"observed_at":"2026-08-07T00:46:09.890879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12465","last_updated":"2025-01-21T19:22:45Z","snapshot_observed_at":"2026-08-07T13:51:35.908214Z","submitted_at":"2025-01-21T19:22:45Z","title":"Adaptive PII Mitigation Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":"2501.12465","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.12465","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adaptive PII mitigation framework for large language models","venue":null,"work_id":"776825ee-9a09-4ab0-b93c-363d526c760d","year":2025},"citing_paper":{"arxiv_id":"2604.16521","last_updated":"2026-04-16T03:44:39Z","snapshot_observed_at":"2026-07-06T23:03:48.168078Z","submitted_at":"2026-04-16T03:44:39Z","title":"CAMP: Cumulative Agentic Masking and Pruning for Privacy Protection in Multi-Turn LLM Conversations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T11:36:35.634766Z"},"links":{"cited_paper":"/paper/2501.12465","citing_paper":"/paper/2604.16521"},"observation_digest":"sha256:df0c0af359de374e186f134cca44033dea32c0fd6e80f57c72bf54203ed6cc04","observation_id":"946bd610-3708-483c-9521-36871f0e00bf","resolution":{"observed_at":"2026-05-10T11:40:19.175861Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2501.12465/citation-record","integrity":"/paper/2501.12465/integrity","json":"/paper/2501.12465/citation-record.json","paper":"/paper/2501.12465"},"outbound":[],"paper":{"arxiv_id":"2501.12465","last_updated":"2025-01-21T19:22:45Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T13:51:35.908214Z","submitted_at":"2025-01-21T19:22:45Z","title":"Adaptive PII Mitigation Framework for Large Language Models"},"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:2501.12465."}