{"as_of":"2026-08-20T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:653bc3dc774041f90c744431a8893ec6848484a784e2ab21d63df2edd205d1c9","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:29:59.230542Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17423","snapshot_observed_at":"2026-08-16T10:29:59.230542Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.18053","last_updated":"2025-06-05T16:13:05Z","snapshot_observed_at":"2026-08-18T00:01:48.383371Z","submitted_at":"2025-04-25T03:54:24Z","title":"DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-16T10:29:59.230542Z"},"links":{"cited_paper":"/paper/2405.17423","citing_paper":"/paper/2504.18053"},"observation_digest":"sha256:b62a6172af351278296399d5274a59d22219696a6d19232f9bab31892b42e3f9","observation_id":"eaf57920-81b8-40d6-8a07-4ee4aa92fd2f","resolution":{"observed_at":"2026-08-16T10:29:59.230542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual Language Models","version":4},"cited_work":{"arxiv_id":"2405.17423","doi":"10.48550/arxiv.2405.17423","metadata_source":"pith","pith_arxiv_id":"2405.17423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Little data, big impact: Privacy-aware visual language models via minimal tuning","venue":"cs.CV","work_id":"a6d79074-dca1-4033-89fe-ea7cf54209aa","year":2024},"citing_paper":{"arxiv_id":"2604.06382","last_updated":"2026-06-30T12:34:13Z","snapshot_observed_at":"2026-08-10T01:26:21.883358Z","submitted_at":"2026-04-07T19:12:19Z","title":"Designing Privacy-Preserving Visual Perception for Robot Navigation Based on User Privacy Preferences","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T18:37:41.821538Z"},"links":{"cited_paper":"/paper/2405.17423","citing_paper":"/paper/2604.06382"},"observation_digest":"sha256:4036e7d95aa59a39fd094dd69fdf151cf38223d1ade462e5da394c097ba4c46c","observation_id":"fa65e0c4-4fd8-46eb-bd9b-32754d3936a6","resolution":{"observed_at":"2026-06-25T02:17:28.837900Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual Language Models","version":4},"cited_work":{"arxiv_id":"2405.17423","doi":"10.48550/arxiv.2405.17423","metadata_source":"pith","pith_arxiv_id":"2405.17423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Little data, big impact: Privacy-aware visual language models via minimal tuning","venue":"cs.CV","work_id":"a6d79074-dca1-4033-89fe-ea7cf54209aa","year":2024},"citing_paper":{"arxiv_id":"2605.18455","last_updated":"2026-05-18T14:20:21Z","snapshot_observed_at":"2026-08-13T09:24:21.949739Z","submitted_at":"2026-05-18T14:20:21Z","title":"OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-20T08:37:44.181899Z"},"links":{"cited_paper":"/paper/2405.17423","citing_paper":"/paper/2605.18455"},"observation_digest":"sha256:b03d78b8573b4d6297482f6d02309fb16b8ee096fded72abc9befb3ef6fe17dc","observation_id":"70c4ba60-3188-4156-8e3c-5b37c66a48a3","resolution":{"observed_at":"2026-06-25T02:17:28.837900Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual Language Models","version":4},"cited_work":{"arxiv_id":"2405.17423","doi":"10.48550/arxiv.2405.17423","metadata_source":"pith","pith_arxiv_id":"2405.17423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Little data, big impact: Privacy-aware visual language models via minimal tuning","venue":"cs.CV","work_id":"a6d79074-dca1-4033-89fe-ea7cf54209aa","year":2024},"citing_paper":{"arxiv_id":"2606.09125","last_updated":"2026-06-08T07:19:42Z","snapshot_observed_at":"2026-08-13T00:26:47.034602Z","submitted_at":"2026-06-08T07:19:42Z","title":"Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges","version":1},"reference_index":116,"source":"arxiv_source","source_observed_at":"2026-06-27T16:33:28.848573Z"},"links":{"cited_paper":"/paper/2405.17423","citing_paper":"/paper/2606.09125"},"observation_digest":"sha256:d87f093bcfc16a557ef9d80ddd3a51a127f3fd1934c6dd836da76397772b4bcd","observation_id":"1a875352-b356-4eea-a583-24725d6b9521","resolution":{"observed_at":"2026-07-03T01:27:30.990746Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual Language Models","version":4},"cited_work":{"arxiv_id":"2405.17423","doi":"10.48550/arxiv.2405.17423","metadata_source":"pith","pith_arxiv_id":"2405.17423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Little data, big impact: Privacy-aware visual language models via minimal tuning","venue":"cs.CV","work_id":"a6d79074-dca1-4033-89fe-ea7cf54209aa","year":2024},"citing_paper":{"arxiv_id":"2607.05859","last_updated":"2026-07-07T05:30:13Z","snapshot_observed_at":"2026-08-08T09:25:02.104079Z","submitted_at":"2026-07-07T05:30:13Z","title":"AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T22:27:52.861022Z"},"links":{"cited_paper":"/paper/2405.17423","citing_paper":"/paper/2607.05859"},"observation_digest":"sha256:854d097e13c150a31e629d804d330c180b35ac336dc9f4e219784de38098ac4b","observation_id":"b911e575-3131-4eb4-a6d0-3ddc7845e535","resolution":{"observed_at":"2026-07-08T22:35:40.590687Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual Language Models","version":4},"cited_work":{"arxiv_id":"2405.17423","doi":"10.48550/arxiv.2405.17423","metadata_source":"pith","pith_arxiv_id":"2405.17423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Little data, big impact: Privacy-aware visual language models via minimal tuning","venue":"cs.CV","work_id":"a6d79074-dca1-4033-89fe-ea7cf54209aa","year":2024},"citing_paper":{"arxiv_id":"2607.07907","last_updated":"2026-07-08T20:42:46Z","snapshot_observed_at":"2026-08-14T01:59:45.772219Z","submitted_at":"2026-07-08T20:42:46Z","title":"Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-07-10T15:38:58.361411Z"},"links":{"cited_paper":"/paper/2405.17423","citing_paper":"/paper/2607.07907"},"observation_digest":"sha256:24201e65472be91a6a9e18b792ea4369172d5266e01fb3ad208310d2c0605acc","observation_id":"fc2576b2-721e-4fa1-bffa-fddb60ad8949","resolution":{"observed_at":"2026-07-10T15:47:23.346476Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T23:52:51.144677+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.17423/citation-record","integrity":"/paper/2405.17423/integrity","json":"/paper/2405.17423/citation-record.json","paper":"/paper/2405.17423"},"outbound":[],"paper":{"arxiv_id":"2405.17423","last_updated":"2026-06-24T07:49:12Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T14:14:03.430979Z","submitted_at":"2024-05-27T17:59:25Z","title":"Privacy-Aware Visual 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.17423."}