{"as_of":"2026-08-17T05:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f917c21ce05f771b4ea427355ac96c4e04170f3685d074028f5d868fc798f70f","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T18:39:11.460192Z","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":"2026-08-07T00:46:11.087836Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2108.12944","last_updated":"2022-07-16T22:37:41Z","snapshot_observed_at":"2026-08-16T18:00:13.141255Z","submitted_at":"2021-08-30T01:11:10Z","title":"Selective Differential Privacy for Language Modeling","version":3},"cited_work":{"arxiv_id":"2108.12944","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.12944","snapshot_observed_at":"2026-08-07T00:46:11.087836Z","title":"Selective Differential Privacy for Language Modeling","venue":"cs.CL","work_id":"cc562794-d992-4aa3-b87f-ac059939dd84","year":2021},"citing_paper":{"arxiv_id":"2506.12699","last_updated":"2025-06-19T06:30:24Z","snapshot_observed_at":"2026-08-14T17:40:51.768214Z","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":102,"source":"pdf_text","source_observed_at":"2026-08-07T00:46:10.333827Z"},"links":{"cited_paper":"/paper/2108.12944","citing_paper":"/paper/2506.12699"},"observation_digest":"sha256:3d84d93dd29ec84620c18dde0b1d9f57b2103ee61efcdc080f4884c84d995e69","observation_id":"6ab635e2-4494-4e4f-a6de-cb3abb1201c1","resolution":{"observed_at":"2026-08-07T00:46:11.093098Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12944","last_updated":"2022-07-16T22:37:41Z","snapshot_observed_at":"2026-08-16T18:00:13.141255Z","submitted_at":"2021-08-30T01:11:10Z","title":"Selective Differential Privacy for Language Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12944","snapshot_observed_at":"2026-08-15T18:39:11.460192Z","title":"Selective differential privacy for language model- ing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.19836","last_updated":"2025-06-24T17:53:28Z","snapshot_observed_at":"2026-08-16T21:13:19.653743Z","submitted_at":"2025-06-24T17:53:28Z","title":"Machine Learning with Privacy for Protected Attributes","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:39:11.460192Z"},"links":{"cited_paper":"/paper/2108.12944","citing_paper":"/paper/2506.19836"},"observation_digest":"sha256:7e28c814dbb217f2a5327f90b448d7d0145d693cb40fd713ef3ae14806b1dddf","observation_id":"02377e32-d5e9-4847-9dcd-688601cc2949","resolution":{"observed_at":"2026-08-15T18:39:11.460192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2108.12944/citation-record","integrity":"/paper/2108.12944/integrity","json":"/paper/2108.12944/citation-record.json","paper":"/paper/2108.12944"},"outbound":[],"paper":{"arxiv_id":"2108.12944","last_updated":"2022-07-16T22:37:41Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T18:00:13.141255Z","submitted_at":"2021-08-30T01:11:10Z","title":"Selective Differential Privacy for Language Modeling"},"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 2 inbound Pith citation observations for arXiv:2108.12944."}