{"as_of":"2026-08-08T20:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ac6ce35f87068d29dd920b6eb1813194be5496609ee40860ed0b2a3a5bb8531a","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:29:46.725458Z","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":"2026-07-03T00:37:30.284495Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.06024","last_updated":"2022-07-05T13:54:26Z","snapshot_observed_at":"2026-08-08T07:01:53.498689Z","submitted_at":"2021-09-13T14:54:39Z","title":"Formalizing and Estimating Distribution Inference Risks","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.06024","snapshot_observed_at":"2026-08-07T05:29:46.725458Z","title":"Formalizing and Estimating Distribution Inference Risks.CoRR abs/2109.06024, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07888","last_updated":"2025-06-09T16:00:48Z","snapshot_observed_at":"2026-08-07T05:20:36.435565Z","submitted_at":"2025-06-09T16:00:48Z","title":"SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T05:29:46.725458Z"},"links":{"cited_paper":"/paper/2109.06024","citing_paper":"/paper/2506.07888"},"observation_digest":"sha256:bf0e44de31cb5da2ad15335d30106351892a87a630a4ebbd1084eec14968c9ac","observation_id":"b8618376-17eb-4222-b60c-303d2c84d7a2","resolution":{"observed_at":"2026-08-07T05:29:46.725458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.06024","last_updated":"2022-07-05T13:54:26Z","snapshot_observed_at":"2026-08-08T07:01:53.498689Z","submitted_at":"2021-09-13T14:54:39Z","title":"Formalizing and Estimating Distribution Inference Risks","version":6},"cited_work":{"arxiv_id":"2109.06024","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2109.06024","snapshot_observed_at":"2026-07-03T00:37:30.284495Z","title":"Suri and D","venue":null,"work_id":"fdcb9a6e-3c59-46a7-85c5-67d7a034ac0a","year":2022},"citing_paper":{"arxiv_id":"2606.01719","last_updated":"2026-06-01T05:34:19Z","snapshot_observed_at":"2026-08-06T00:15:39.961852Z","submitted_at":"2026-06-01T05:34:19Z","title":"Fair Finetuning Mitigates Distribution Inference Attacks","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-06-28T16:05:53.398690Z"},"links":{"cited_paper":"/paper/2109.06024","citing_paper":"/paper/2606.01719"},"observation_digest":"sha256:fbc76d39fcc1d7f736041b172cd08a5277ada9f8464fca3df8652052baa4b971","observation_id":"fb7d7674-b13d-4354-8549-b5c02217a449","resolution":{"observed_at":"2026-07-01T21:56:15.475291Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.06024","last_updated":"2022-07-05T13:54:26Z","snapshot_observed_at":"2026-08-08T07:01:53.498689Z","submitted_at":"2021-09-13T14:54:39Z","title":"Formalizing and Estimating Distribution Inference Risks","version":6},"cited_work":{"arxiv_id":"2109.06024","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2109.06024","snapshot_observed_at":"2026-07-03T00:37:30.284495Z","title":"Suri and D","venue":null,"work_id":"fdcb9a6e-3c59-46a7-85c5-67d7a034ac0a","year":2022},"citing_paper":{"arxiv_id":"2606.10217","last_updated":"2026-06-08T22:15:20Z","snapshot_observed_at":"2026-08-01T19:11:56.691937Z","submitted_at":"2026-06-08T22:15:20Z","title":"Alignment Defends LLMs from Property Inference Attacks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T17:05:19.853450Z"},"links":{"cited_paper":"/paper/2109.06024","citing_paper":"/paper/2606.10217"},"observation_digest":"sha256:7e7c7ab871fdb08d6191479bc09e908a9168bdbb416ef2ec56939c9a31571e04","observation_id":"1f7ec0d0-1bc1-4b5c-8033-dd7cc8759521","resolution":{"observed_at":"2026-07-03T00:37:30.285981Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2109.06024/citation-record","integrity":"/paper/2109.06024/integrity","json":"/paper/2109.06024/citation-record.json","paper":"/paper/2109.06024"},"outbound":[],"paper":{"arxiv_id":"2109.06024","last_updated":"2022-07-05T13:54:26Z","latest_version":6,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T07:01:53.498689Z","submitted_at":"2021-09-13T14:54:39Z","title":"Formalizing and Estimating Distribution Inference Risks"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.06024."}