{"as_of":"2026-08-10T21:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04ebfa3ec59a5701d163f5efcb3d6079ba5114c83006692695b18795cbe63fa6","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":"2026-08-10T06:31:04.303077+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":"2026-08-10T15:18:14.149178Z","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":"2026-07-04T19:40:06.648411Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-08-10T15:18:14.149178Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.14224","last_updated":"2025-01-24T04:06:50Z","snapshot_observed_at":"2026-08-10T15:12:44.507526Z","submitted_at":"2025-01-24T04:06:50Z","title":"Top Ten Challenges Towards Agentic Neural Graph Databases","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T15:18:14.149178Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2501.14224"},"observation_digest":"sha256:90f5664b6ac40fa6804d43b587bbb70e8fae1dd6260cc045c339e98d7bc5dd21","observation_id":"11441e65-ed70-45e5-b3f8-9ff5ff52bdf5","resolution":{"observed_at":"2026-08-10T15:18:14.149178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-08-09T21:58:40.418983Z","title":", Qiu , Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18934","last_updated":"2025-04-30T06:30:46Z","snapshot_observed_at":"2026-08-10T04:01:00.620289Z","submitted_at":"2025-01-31T07:32:12Z","title":"Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-09T21:58:40.418983Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2501.18934"},"observation_digest":"sha256:a72925ae741b5d51fd20917204c0c212c7b84adf569bf817a8170aedd6e06abb","observation_id":"39368c2e-e445-483e-a1d9-327ba021473c","resolution":{"observed_at":"2026-08-09T21:58:40.418983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":"2402.04013","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-07-04T19:40:06.648411Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":"cf22a4ad-a59a-4d3b-bcef-afb905dbdc42","year":2024},"citing_paper":{"arxiv_id":"2506.06057","last_updated":"2026-05-03T07:24:06Z","snapshot_observed_at":"2026-08-02T17:34:16.527589Z","submitted_at":"2025-06-06T13:02:59Z","title":"Hey, That's My Data! Token-Only Dataset Inference in Large Language Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T11:03:03.204840Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2506.06057"},"observation_digest":"sha256:e70c48f288cb449183d4376a14d9c8796fc4ce10d713f9190efa2d36ad339fb9","observation_id":"7ff988e6-375b-4372-bc3a-9df58df37688","resolution":{"observed_at":"2026-05-19T11:07:15.810834Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-08-07T00:32:42.237738Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17292","last_updated":"2025-08-01T03:56:30Z","snapshot_observed_at":"2026-08-10T00:46:07.307685Z","submitted_at":"2025-06-16T21:48:11Z","title":"Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:32:42.237738Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2506.17292"},"observation_digest":"sha256:6386a0a63adf02fdaa47957cd58aa83d91223de508f6e4788436285344ccaed4","observation_id":"c1178347-abde-41a3-8194-8cdb9a697f4d","resolution":{"observed_at":"2026-08-07T00:32:42.237738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-08-05T15:39:55.367619Z","title":"Privacy leakage on dnns: A sur- vey of model inversion attacks and defenses,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19641","last_updated":"2025-08-27T07:37:52Z","snapshot_observed_at":"2026-08-08T08:19:58.466694Z","submitted_at":"2025-08-27T07:37:52Z","title":"Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:55.367619Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2508.19641"},"observation_digest":"sha256:993d723ce6b900dea4b3e3885d61ac64ac556724a9ff9dfcee9cef5b99721f02","observation_id":"33aadbd3-29e2-4eab-9f90-b5a331e02b91","resolution":{"observed_at":"2026-08-05T15:39:55.367619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-08-05T15:01:34.520244Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20613","last_updated":"2025-08-28T10:00:39Z","snapshot_observed_at":"2026-08-10T17:53:19.396860Z","submitted_at":"2025-08-28T10:00:39Z","title":"Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T15:01:34.520244Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2508.20613"},"observation_digest":"sha256:690414c6550a4067cf83d6b6d3bd60592dcb33bd09327b9b1cfd83ff862c972d","observation_id":"f68baac1-2a12-4241-8c0a-78b94cdb2bd3","resolution":{"observed_at":"2026-08-05T15:01:34.520244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":"2402.04013","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-07-04T19:40:06.648411Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":"cf22a4ad-a59a-4d3b-bcef-afb905dbdc42","year":2024},"citing_paper":{"arxiv_id":"2604.01346","last_updated":"2026-04-06T19:07:02Z","snapshot_observed_at":"2026-08-03T08:33:40.943733Z","submitted_at":"2026-04-01T19:57:33Z","title":"Safety, Security, and Cognitive Risks in World Models","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-13T22:35:46.126714Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2604.01346"},"observation_digest":"sha256:bb38c472d61e205807d2868bebe57f5a77ca9ce27a83cf7d491ab678e3df652f","observation_id":"ff7da556-1f73-4eb5-9d8a-c7b7c4bead23","resolution":{"observed_at":"2026-05-13T22:38:22.234812Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":"2402.04013","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-07-04T19:40:06.648411Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":"cf22a4ad-a59a-4d3b-bcef-afb905dbdc42","year":2024},"citing_paper":{"arxiv_id":"2604.20116","last_updated":"2026-04-22T02:27:44Z","snapshot_observed_at":"2026-07-31T16:45:51.735468Z","submitted_at":"2026-04-22T02:27:44Z","title":"Before the Mic: Physical-Layer Voiceprint Anonymization with Acoustic Metamaterials","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-09T23:46:29.588709Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2604.20116"},"observation_digest":"sha256:1f3da87ba15875ca4b47446ac35029c4c490c91e6a8ba0b7f4de9472a5e9e3e1","observation_id":"f1dc313a-dca2-4eb9-a1fa-02907cd3c3b8","resolution":{"observed_at":"2026-05-11T14:01:04.680952Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":"2402.04013","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-07-04T19:40:06.648411Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":"cf22a4ad-a59a-4d3b-bcef-afb905dbdc42","year":2024},"citing_paper":{"arxiv_id":"2606.09909","last_updated":"2026-06-06T07:59:08Z","snapshot_observed_at":"2026-08-09T22:49:27.600763Z","submitted_at":"2026-06-06T07:59:08Z","title":"Bypassing Copyright Protection in Diffusion-based Customization via Two-Stage Latent Feature Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T19:39:50.466625Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2606.09909"},"observation_digest":"sha256:dc52b717a95b8c26700266cc24ce3e51364ddbdfe37234588fb8255be2afe326","observation_id":"862ed18c-c35a-4523-b48e-3adbedea3d90","resolution":{"observed_at":"2026-07-02T21:37:25.002940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses","version":2},"cited_work":{"arxiv_id":"2402.04013","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04013","snapshot_observed_at":"2026-07-04T19:40:06.648411Z","title":"Privacy leakage on dnns: A survey of model inversion attacks and defenses","venue":null,"work_id":"cf22a4ad-a59a-4d3b-bcef-afb905dbdc42","year":2024},"citing_paper":{"arxiv_id":"2606.25589","last_updated":"2026-06-24T08:59:28Z","snapshot_observed_at":"2026-08-06T21:57:29.065457Z","submitted_at":"2026-06-24T08:59:28Z","title":"Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-25T21:09:23.769302Z"},"links":{"cited_paper":"/paper/2402.04013","citing_paper":"/paper/2606.25589"},"observation_digest":"sha256:8ac24d803bfb941229690e7020c593c2dd4360e6ec931f9e4fc051881f6241f6","observation_id":"7eda2f04-5d04-44a4-b405-a7d9b9af63f6","resolution":{"observed_at":"2026-07-04T19:40:06.667431Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.04013/citation-record","integrity":"/paper/2402.04013/integrity","json":"/paper/2402.04013/citation-record.json","paper":"/paper/2402.04013"},"outbound":[],"paper":{"arxiv_id":"2402.04013","last_updated":"2024-09-11T01:09:07Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T17:18:01.347657Z","submitted_at":"2024-02-06T14:06:23Z","title":"Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.04013."}