{"as_of":"2026-08-07T10:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1323dc31eaa37bad7269804c4023c0e4cc963a78ddd8f0506e672cdb3701f9a9","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:06:21.025722Z","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":"2026-07-04T20:50:11.163514Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":"2312.03262","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-07-04T20:50:11.163514Z","title":"Low-cost high- power membership inference attacks,","venue":null,"work_id":"9bf0f114-028c-41fb-bffc-50b3cde6300d","year":2023},"citing_paper":{"arxiv_id":"2501.02407","last_updated":"2026-05-20T14:04:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-05T00:03:18Z","title":"Towards the Anonymization of the Language Modeling","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-23T06:28:16.975305Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2501.02407"},"observation_digest":"sha256:e4762b3a0ee9859a56445b6ba22050c4d7dccef43a5e84e3eb1544ddd1419e91","observation_id":"21e84614-e4ff-4890-9013-b93e1d7c1fd8","resolution":{"observed_at":"2026-05-23T06:32:39.500838Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-07T06:06:21.025722Z","title":"Zarifzadeh, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06108","last_updated":"2025-06-06T14:16:57Z","snapshot_observed_at":"2026-08-07T05:57:58.212773Z","submitted_at":"2025-06-06T14:16:57Z","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T06:06:21.025722Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2506.06108"},"observation_digest":"sha256:773be7aeb46bdb5e37a6db80e20f9f3bc501ceaed87f1bb874f684fce65073d4","observation_id":"9f129cf8-fd41-457c-a7f2-ee4b5e71fedf","resolution":{"observed_at":"2026-08-07T06:06:21.025722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-07T06:04:24.893482Z","title":"Low-cost high-power membership inference attacks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06488","last_updated":"2026-07-22T01:30:58Z","snapshot_observed_at":"2026-08-07T05:53:18.689790Z","submitted_at":"2025-06-06T19:27:52Z","title":"Membership Inference Attacks for Unseen Classes","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T06:04:24.893482Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2506.06488"},"observation_digest":"sha256:e0ce8ddc6b99d44e4dc5a6385149d6eb7a85c078132b07ebcc022ceb713cb721","observation_id":"f9eb6635-a510-4ee8-b5c9-566eb177b8ad","resolution":{"observed_at":"2026-08-07T06:04:24.893482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-07T00:30:35.308377Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13972","last_updated":"2025-07-03T17:45:38Z","snapshot_observed_at":"2026-08-07T00:23:11.631978Z","submitted_at":"2025-06-16T20:22:07Z","title":"Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T00:30:35.308377Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2506.13972"},"observation_digest":"sha256:cf9cfa831a32301e14122881edd3f070d4b7bd6e376e3701c786e83775147b72","observation_id":"e71a211c-794a-4ef9-a714-f617ad3d37d6","resolution":{"observed_at":"2026-08-07T00:30:35.308377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-05T22:28:06.225473Z","title":"Low-cost high-power membership inference by boosting relativity","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07066","last_updated":"2025-08-09T18:14:50Z","snapshot_observed_at":"2026-08-05T22:28:04.655539Z","submitted_at":"2025-08-09T18:14:50Z","title":"Membership Inference Attacks with False Discovery Rate Control","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T22:28:06.225473Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2508.07066"},"observation_digest":"sha256:6915e374ca68a8158b1944e3323e6332c5a17d87261656f2f0809be197dfb64a","observation_id":"673f4f04-707b-4b77-9841-bd393f9a8fc4","resolution":{"observed_at":"2026-08-05T22:28:06.225473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-05T11:04:50.752310Z","title":"Low-Cost High-Power Membership Inference Attacks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08746","last_updated":"2025-09-03T13:40:54Z","snapshot_observed_at":"2026-08-06T21:32:04.169861Z","submitted_at":"2025-09-03T13:40:54Z","title":"Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:04:50.752310Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2509.08746"},"observation_digest":"sha256:72085b9afa7e18480c04c4021dfda4868fffd2a7624bd861a07991e9b51bd621","observation_id":"c78645cf-9cdd-4d3c-8385-c57f69288788","resolution":{"observed_at":"2026-08-05T11:04:50.752310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":"2312.03262","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-07-04T20:50:11.163514Z","title":"Low-cost high- power membership inference attacks,","venue":null,"work_id":"9bf0f114-028c-41fb-bffc-50b3cde6300d","year":2023},"citing_paper":{"arxiv_id":"2605.30462","last_updated":"2026-05-28T18:38:15Z","snapshot_observed_at":"2026-07-06T23:39:43.967889Z","submitted_at":"2026-05-28T18:38:15Z","title":"idSCD: Identifying Training Datasets through Semantic Correlation Descriptors","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-06-29T08:35:36.928378Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2605.30462"},"observation_digest":"sha256:00954d706e3d7664f886cdfa45c03c7f65c8336c96b35dd91607a3bdb0094b7a","observation_id":"35746d3e-8b8a-4387-955e-57ebb129c02f","resolution":{"observed_at":"2026-06-29T08:43:15.798951Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-08-02T11:15:51.779883Z","title":"A form capturing personal, financial, and employment details of a loan applicant, including loan amount, purpose, and supporting documents","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.16952","last_updated":"2026-07-20T23:44:56Z","snapshot_observed_at":"2026-08-06T12:10:38.149284Z","submitted_at":"2026-06-15T16:54:02Z","title":"Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic Data","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-02T11:15:51.779883Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2606.16952"},"observation_digest":"sha256:aa58fe3469e15268750dd7b4e17f740987490fd9c3f39ae6ee54c8cbcad8999c","observation_id":"86c57d32-0c4f-497d-9c16-f45b35428cb1","resolution":{"observed_at":"2026-08-02T11:15:51.779883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":"2312.03262","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-07-04T20:50:11.163514Z","title":"Low-cost high- power membership inference attacks,","venue":null,"work_id":"9bf0f114-028c-41fb-bffc-50b3cde6300d","year":2023},"citing_paper":{"arxiv_id":"2606.26021","last_updated":"2026-06-24T16:42:21Z","snapshot_observed_at":"2026-08-05T14:48:17.313246Z","submitted_at":"2026-06-24T16:42:21Z","title":"Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-25T19:36:48.784638Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2606.26021"},"observation_digest":"sha256:88baac2c30bd1b47ae57fec150b8a4e65866f2ddf60fd1e3736987519977e7e0","observation_id":"2024942a-f65f-4684-9b4f-341864c1738d","resolution":{"observed_at":"2026-07-04T20:50:11.165639Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks","version":3},"cited_work":{"arxiv_id":"2312.03262","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.03262","snapshot_observed_at":"2026-07-04T20:50:11.163514Z","title":"Low-cost high- power membership inference attacks,","venue":null,"work_id":"9bf0f114-028c-41fb-bffc-50b3cde6300d","year":2023},"citing_paper":{"arxiv_id":"2606.26257","last_updated":"2026-06-24T18:02:42Z","snapshot_observed_at":"2026-08-03T09:06:00.898864Z","submitted_at":"2026-06-24T18:02:42Z","title":"Dataset Usage Inference without Shadow Models or Held-out Data","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-26T01:51:20.215114Z"},"links":{"cited_paper":"/paper/2312.03262","citing_paper":"/paper/2606.26257"},"observation_digest":"sha256:32ff8cbce14d46b6496f8921499bf2769603a004e547302050b783ef90d918cd","observation_id":"57f30370-b1fa-456e-9390-d8b656f01e1d","resolution":{"observed_at":"2026-07-04T15:09:54.781074Z","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/2312.03262/citation-record","integrity":"/paper/2312.03262/integrity","json":"/paper/2312.03262/citation-record.json","paper":"/paper/2312.03262"},"outbound":[],"paper":{"arxiv_id":"2312.03262","last_updated":"2024-06-12T09:02:47Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-06T10:49:48.033035Z","submitted_at":"2023-12-06T03:18:49Z","title":"Low-Cost High-Power Membership Inference Attacks"},"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 10 inbound Pith citation observations for arXiv:2312.03262."}