{"as_of":"2026-08-18T19:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1234114674887728ea7525142c5075a39524e1d64b60f07cf256eb7d2d1192c0","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:30:24.636180Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.17746/citation-record","integrity":"/paper/2411.17746/integrity","json":"/paper/2411.17746/citation-record.json","paper":"/paper/2411.17746"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:26.173855Z","title":"iedit: Lo- calised text-guided image editing with weak supervision","venue":null,"work_id":"32baf80d-9e0d-4698-82b0-dfd60628b324","year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.226190Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:3b5471e5223f688f786b14b33cd193a4d6af4c64bca8844b6371330d2f04d4bc","observation_id":"54eb0ef6-9e67-4662-ac09-7c1acacfe065","resolution":{"observed_at":"2026-08-12T13:30:26.191054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:26.117233Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":"54098261-2c74-4b47-9993-b5729699280f","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.243093Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:5be96c1a67c6b463fdc45cf32b0a402548b1aa057b926f9815720b9f8d204458","observation_id":"3e6edb32-ee22-46dc-8f18-21c960620e4e","resolution":{"observed_at":"2026-08-12T13:30:26.128592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:26.091130Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":"bffb5d0f-0ecf-4f9b-b127-dd73b2a45a84","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.248533Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:94fa2194f7f3247316a435157fde89224befbe9d46e0554cc0c0a59d5ac0ffac","observation_id":"8632fa81-9a77-4672-9f0f-7ad83c42e723","resolution":{"observed_at":"2026-08-12T13:30:26.101528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:26.045883Z","title":"Structure 8 and content-guided video synthesis with diffusion models","venue":null,"work_id":"e9ae3b31-4c41-436b-93bb-526f11370166","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.256673Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:cdc32e771eb862d91192e1bdb027fee300b81395a5f55d5afd864a39d38dc005","observation_id":"dad12d61-2743-451d-9306-4cae2c5c760c","resolution":{"observed_at":"2026-08-12T13:30:26.061595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.10373","last_updated":"2023-11-20T10:54:09Z","snapshot_observed_at":"2026-08-15T03:17:05.670808Z","submitted_at":"2023-07-19T18:00:03Z","title":"TokenFlow: Consistent Diffusion Features for Consistent Video Editing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.10373","snapshot_observed_at":"2026-08-12T13:30:24.266942Z","title":"Tokenflow: Consistent diffusion features for consistent video editing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.266942Z"},"links":{"cited_paper":"/paper/2307.10373","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:90e78285b45ae156432c9a490c73ee3c9c858a610d7b6d5926d3886056a45b71","observation_id":"52748955-f8e5-4790-8cb6-407133f113e8","resolution":{"observed_at":"2026-08-12T13:30:24.266942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:24.285105Z","title":"Generative adversarial nets","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.285105Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:ea1dd31df8c0223efa675afb9b9e4907b02f9405fdc01551cd4dd2ec108ab200","observation_id":"b31b2dac-a7fd-4cc4-8332-0e3e375da043","resolution":{"observed_at":"2026-08-12T13:30:24.285105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-12T17:13:46.394331Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-12T13:30:24.293841Z","title":"Explaining and harnessing adversarial examples","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.293841Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:929b1e806549301c043badffdcb69bafd4255a60eab03396bc2b5c986cd3c612","observation_id":"8335c92c-c942-4417-88f7-834277ccd817","resolution":{"observed_at":"2026-08-12T13:30:24.293841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05783","last_updated":"2024-09-03T16:23:55Z","snapshot_observed_at":"2026-08-16T14:02:38.099590Z","submitted_at":"2024-04-08T17:53:21Z","title":"A Survey on Responsible Generative AI: What to Generate and What Not","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05783","snapshot_observed_at":"2026-08-12T13:30:24.299778Z","title":"Responsible generative ai: What to generate and what not","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.299778Z"},"links":{"cited_paper":"/paper/2404.05783","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:da3bb1ee986d187402b9b722c62781c7e15bbe7ee11bab3a991659d888bf5bf8","observation_id":"2cf2c84c-a42e-4f52-90cb-243bb14817f2","resolution":{"observed_at":"2026-08-12T13:30:24.299778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:26.002896Z","title":"Diff-privacy: Diffusion-based face privacy pro- tection","venue":null,"work_id":"e139de58-25f1-4886-9ff8-9b50cf894914","year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.313096Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:13ab0a9a5449ef9bc0c46b140612ce77739a4ffef5266368289659174d535d5f","observation_id":"986f5140-7455-4e3c-96b3-b0808b260783","resolution":{"observed_at":"2026-08-12T13:30:26.010421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:24.324099Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.324099Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:c8c53f7d9b843b2b0176a625052b0dbc628d2d0315182119d2ec9d172e8b807a","observation_id":"325c807a-6768-42c1-9b75-586711178cc7","resolution":{"observed_at":"2026-08-12T13:30:24.324099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.945210Z","title":"Diffattack: Eva- sion attacks against diffusion-based adversarial purification","venue":null,"work_id":"c9dcc2aa-8716-4a6f-a967-30f32c59a55b","year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.329570Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:81d3b64c3ef2ac4748ea7113b8768a2f5100bd041a65d75af3399894c6db1529","observation_id":"ede97725-de2a-495e-8756-c3eeca17fda6","resolution":{"observed_at":"2026-08-12T13:30:25.955214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.912815Z","title":"Text2video-zero: Text- to-image diffusion models are zero-shot video generators","venue":null,"work_id":"18d942a9-da2e-4e9f-9ea9-ef2a450bb3f1","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.335664Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:73491ee12e18f2831cc3c06e5c1430cb1ae2b4c0ea4415df1fe13019a0bf8a37","observation_id":"2c2395d9-c6ee-4099-8c8b-89d04b59b171","resolution":{"observed_at":"2026-08-12T13:30:25.921790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-12T13:30:24.344609Z","title":"Auto-encoding variational bayes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.344609Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:fc30728bba1018c32144b50ef3c85b99cb08a025b087096f6018abcd95e27077","observation_id":"21b8b52e-54ff-49fd-acd1-5c7d5508f6a4","resolution":{"observed_at":"2026-08-12T13:30:24.344609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01239","last_updated":"2024-02-02T09:07:00Z","snapshot_observed_at":"2026-08-16T14:22:13.149482Z","submitted_at":"2024-02-02T09:07:00Z","title":"PRIME: Protect Your Videos From Malicious Editing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01239","snapshot_observed_at":"2026-08-12T13:30:24.351747Z","title":"Prime: Protect your videos from malicious editing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.351747Z"},"links":{"cited_paper":"/paper/2402.01239","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:396ffc5b428e593e5bc47fd9a26ee809ddf3467a82e22da5f92cf8dbb080a36f","observation_id":"e5610bb4-d23b-4a3c-a422-8d3bbaae414b","resolution":{"observed_at":"2026-08-12T13:30:24.351747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.863125Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":"aa6208ee-b470-4c7e-bfd6-2ae47ae41e84","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.371411Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:b72dad36ad11383a53cf3d4d29119b976b59d92b25624c63a1c4e0dc157e3564","observation_id":"791e28a8-f5c8-4485-be19-680ea229ec5b","resolution":{"observed_at":"2026-08-12T13:30:25.878818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12683","last_updated":"2023-05-22T03:43:34Z","snapshot_observed_at":"2026-08-16T15:31:15.921879Z","submitted_at":"2023-05-22T03:43:34Z","title":"Mist: Towards Improved Adversarial Examples for Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12683","snapshot_observed_at":"2026-08-12T13:30:24.379682Z","title":"Mist: Towards improved adversarial examples for diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.379682Z"},"links":{"cited_paper":"/paper/2305.12683","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:0a1812405adaa8fd311931751da95641be894be26927a944bdf5ac9978872ac4","observation_id":"1f544ff6-1f31-4a53-8710-3b07758b7595","resolution":{"observed_at":"2026-08-12T13:30:24.379682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04578","last_updated":"2023-06-06T06:34:46Z","snapshot_observed_at":"2026-08-16T15:56:34.704466Z","submitted_at":"2023-02-09T11:36:39Z","title":"Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04578","snapshot_observed_at":"2026-08-12T13:30:24.394470Z","title":"Adversarial example does good: Preventing paint- ing imitation from diffusion models via adversarial exam- ples","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.394470Z"},"links":{"cited_paper":"/paper/2302.04578","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:5543d3a453311ac97f74b31434300a9a5fa720f75ca0aef06252592146793f76","observation_id":"63e5e468-6505-43be-a730-50b79a1265e8","resolution":{"observed_at":"2026-08-12T13:30:24.394470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06540","last_updated":"2023-05-11T03:08:48Z","snapshot_observed_at":"2026-08-17T20:14:36.342932Z","submitted_at":"2023-05-11T03:08:48Z","title":"Inter-frame Accelerate Attack against Video Interpolation Models","version":1},"cited_work":{"arxiv_id":"2305.06540","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.06540","snapshot_observed_at":"2026-08-12T13:30:25.207032Z","title":"Inter-frame Accelerate Attack against Video Interpolation Models","venue":"cs.CV","work_id":"abe1fdac-b012-4b4e-ba48-2db9c7c31361","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.406216Z"},"links":{"cited_paper":"/paper/2305.06540","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:c83f7878da6bd4bf48b45f12a5109458bed2f93e550e3e380f946c1a958901ae","observation_id":"1331800f-f885-4b43-9aa5-e93788fc38de","resolution":{"observed_at":"2026-08-12T13:30:25.224000Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:24.413385Z","title":"Video-p2p: Video editing with cross-attention control","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.413385Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:5acb67ff98ceed72cc13b4a5cf0c7ac373b02ebba918e60babf109ef40e62798","observation_id":"545add3d-a145-4232-9a6c-f1b174af4007","resolution":{"observed_at":"2026-08-12T13:30:24.413385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.02770","last_updated":"2017-02-07T14:24:44Z","snapshot_observed_at":"2026-08-18T17:48:45.518915Z","submitted_at":"2016-11-08T23:25:00Z","title":"Delving into Transferable Adversarial Examples and Black-box Attacks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.02770","snapshot_observed_at":"2026-08-12T13:30:24.418142Z","title":"Delving into transferable adversarial examples and black- box attacks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.418142Z"},"links":{"cited_paper":"/paper/1611.02770","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:2e8e516a45f83459bd23ddc0ef0542e7ba23555bf0104a1739902d7f6207788b","observation_id":"08903cef-eb2b-4adf-902d-7877c10c8c0a","resolution":{"observed_at":"2026-08-12T13:30:24.418142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.06083","last_updated":"2019-09-04T18:53:10Z","snapshot_observed_at":"2026-08-07T14:27:46.872660Z","submitted_at":"2017-06-19T17:53:11Z","title":"Towards Deep Learning Models Resistant to Adversarial Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.06083","snapshot_observed_at":"2026-08-12T13:30:24.425318Z","title":"Towards deep learning models resis- tant to adversarial attacks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.425318Z"},"links":{"cited_paper":"/paper/1706.06083","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:9cbb67f8d6371385ae9667e5143669aafee614e067a3cb40cbd72fc3dd480220","observation_id":"f75808f1-d4a5-4cab-8c93-ae8e57e16bb1","resolution":{"observed_at":"2026-08-12T13:30:24.425318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.07277","last_updated":"2016-05-24T03:27:48Z","snapshot_observed_at":"2026-08-15T19:47:29.283675Z","submitted_at":"2016-05-24T03:27:48Z","title":"Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.07277","snapshot_observed_at":"2026-08-12T13:30:24.432778Z","title":"Transferability in machine learning: from phenomena to black-box attacks using adversarial samples","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.432778Z"},"links":{"cited_paper":"/paper/1605.07277","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:efc92f6a324b8db04b6549d6566bd669efb0b44e00082746ac0aee2f5972f615","observation_id":"171001c7-8294-4fa4-9007-81222bab0fac","resolution":{"observed_at":"2026-08-12T13:30:24.432778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.00675","last_updated":"2018-03-01T17:50:08Z","snapshot_observed_at":"2026-08-02T10:51:13.194643Z","submitted_at":"2017-04-03T16:44:46Z","title":"The 2017 DAVIS Challenge on Video Object Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.00675","snapshot_observed_at":"2026-08-12T13:30:24.442827Z","title":"The 2017 davis challenge on video object segmentation.arXiv preprint arXiv:1704.00675, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.442827Z"},"links":{"cited_paper":"/paper/1704.00675","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:f9949fba538063d3bd9c66edd2bc5669d80c275be8ccf2f0c37821f8a183ba9e","observation_id":"5b90865e-7417-4698-8b7c-3104254b9330","resolution":{"observed_at":"2026-08-12T13:30:24.442827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.760498Z","title":"Fatezero: Fus- ing attentions for zero-shot text-based video editing","venue":null,"work_id":"21433d98-62dd-4a73-9ad3-4afc4fd39921","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.454161Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:ba3e51155f6edd1bf668c51d7006bd62344025af033a552efd5b9995e6305517","observation_id":"2888a429-a9df-4ad7-bff3-fc18a67b46e2","resolution":{"observed_at":"2026-08-12T13:30:25.782299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.722792Z","title":"Learning transferable visual models from natural language supervi- sion","venue":null,"work_id":"04283f57-b4fe-4e64-b505-883e37df25b2","year":2021},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.468570Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:baf548c2c944396f63c6b9a2ee9e4940e70993493d3230cd38612f72539e877e","observation_id":"54ae7841-1e6f-4b09-9d22-d998b5d5636f","resolution":{"observed_at":"2026-08-12T13:30:25.733847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:24.485246Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.485246Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:8c855320f7954ee54efeb2122608d15a74f1e73eaf0baf0fe1173d3599327265","observation_id":"7038d4d7-d7b2-461c-b332-d84da9a8ee31","resolution":{"observed_at":"2026-08-12T13:30:24.485246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06588","last_updated":"2023-02-13T18:38:42Z","snapshot_observed_at":"2026-08-16T15:55:39.484325Z","submitted_at":"2023-02-13T18:38:42Z","title":"Raising the Cost of Malicious AI-Powered Image Editing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06588","snapshot_observed_at":"2026-08-12T13:30:24.498279Z","title":"Raising the cost of malicious ai-powered image editing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.498279Z"},"links":{"cited_paper":"/paper/2302.06588","citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:9ce70ec3765276c22dc7fad950c7aef20a20a7a2ae9797087e0336abf2b995dd","observation_id":"983d9055-8361-420a-9cf4-333f39cb1580","resolution":{"observed_at":"2026-08-12T13:30:24.498279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.669718Z","title":"Glaze: Protecting artists from style mimicry by{Text-to-Image} models","venue":null,"work_id":"62f59bdd-8272-407c-befe-cc22dfc265fb","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.506752Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:50653db497411651194be6cdb5c3a33f82d5c51ef4c13bb334f356a791306831","observation_id":"35b2fb38-8d6c-4e7b-95a6-560d210710da","resolution":{"observed_at":"2026-08-12T13:30:25.678214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.637051Z","title":"Image information and visual quality","venue":null,"work_id":"af232c42-e603-45aa-978e-77fa39498112","year":2006},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.515742Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:ae258b8bb7d4cba51d003e5527ed53dbeeac2877587b1e358f0416e21542d9d6","observation_id":"635c7bf5-83ae-4a32-9a1d-7b2e525951f0","resolution":{"observed_at":"2026-08-12T13:30:25.644857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.618762Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":"8023d53e-37d6-42a8-8ab1-99d89dd3612f","year":2004},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.523551Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:a79bb2c03d75fee6c7bf697df579c9dad2fdec3e9472c987da4faa4155fe4916","observation_id":"b51c9ffe-067c-4660-8bba-139edcbec1d4","resolution":{"observed_at":"2026-08-12T13:30:25.624860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.598573Z","title":"Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation","venue":null,"work_id":"eb6cf750-cb89-4c78-bee2-a41ff21c34b2","year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.531607Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:c7ddea3db9a163f579e41acdcb0f6ad672a7ee7c6b702c3c951940b99b18d988","observation_id":"597d66c7-8730-4ba6-ba28-106a1f1528dc","resolution":{"observed_at":"2026-08-12T13:30:25.603604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.581353Z","title":"Cross: Diffusion model makes controllable, robust and se- cure image steganography","venue":null,"work_id":"1c5d92c8-51b0-4853-8e57-765a871f68f4","year":2024},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.551806Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:f875edd4eb6410af19acac9950cb613965d7cfafda89732c2ee33d475e2f6945","observation_id":"564cae59-91df-4544-95dd-115c3e713994","resolution":{"observed_at":"2026-08-12T13:30:25.585944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:24.572391Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.572391Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:e2688a33604ccc334d538136cdbe8ea12f8c4867add8cf62fa6e643af60c1d12","observation_id":"2a4d7e6f-9ae3-4cf6-a978-e5a8a4178000","resolution":{"observed_at":"2026-08-12T13:30:24.572391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.555785Z","title":"Sine: Single image editing with text-to-image diffusion models","venue":null,"work_id":"1d4f1bac-bfb8-4ef9-9474-14352d38ea1a","year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.583958Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:29b27d58e3f3f4a9148d3b440998418aeb6fb4867e31e76346a775e66a9cbc0e","observation_id":"c110c7e5-4918-4660-bc61-f98bbed5fc88","resolution":{"observed_at":"2026-08-12T13:30:25.561006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:24.604166Z","title":"Understanding and improving adversarial attacks on latent diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.604166Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:6018a23eb57d9bfd37ed43b09c40efe3d4d3f4091a063609f5f355f5cae171e3","observation_id":"5dd429da-ec93-4c47-8eab-f7c46758a06c","resolution":{"observed_at":"2026-08-12T13:30:24.604166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.519555Z","title":null,"venue":null,"work_id":"9679540e-2a16-41b0-ad35-ca0f651d4fab","year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.618187Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:251862fb3f5a93bffde3c3a7b07688b9c3a5d2cff1c0cbcd907205820d0c0573","observation_id":"66641ced-0804-4018-aaa2-7c660b00133e","resolution":{"observed_at":"2026-08-12T13:30:25.526536Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:25.491530Z","title":"Figure 9, figure 10 and figure 11 showcase video protection results using our method on Fatezero","venue":null,"work_id":"1a24bcfb-bede-4ca3-a2e4-a9dda2e94c68","year":null},"citing_paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:24.636180Z"},"links":{"citing_paper":"/paper/2411.17746"},"observation_digest":"sha256:b1232f292da2dc68e3728efb5c231abbbd5e03149e1fb4b8b62d96e3d913ed0b","observation_id":"f1611bc8-c6b8-4e64-9563-ed0261ea640f","resolution":{"observed_at":"2026-08-12T13:30:25.497767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.17746","last_updated":"2024-11-25T08:48:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T13:54:35.397270Z","submitted_at":"2024-11-25T08:48:54Z","title":"UVCG: Leveraging Temporal Consistency for Universal Video Protection"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":37},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.17746."}