{"as_of":"2026-08-19T03:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:178b1d26415a008e03d48094ee6eba71393fe8b95c42272b1ea0925f753d885a","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:58:23.212839Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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":"2026-08-05T17:13:45.098365Z","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":"2026-05-23T00:15:14.771394Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"cited_work":{"arxiv_id":"2504.20111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20111","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Forging and removing latent-noise dif- fusion watermarks using a single image","venue":null,"work_id":"d492a374-5996-4ba5-b01b-2bc95e63b841","year":2025},"citing_paper":{"arxiv_id":"2503.12172","last_updated":"2026-05-18T19:26:33Z","snapshot_observed_at":"2026-08-17T05:10:06.406464Z","submitted_at":"2025-03-15T15:29:05Z","title":"SEAL: Semantic Aware Image Watermarking","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T00:13:31.761894Z"},"links":{"cited_paper":"/paper/2504.20111","citing_paper":"/paper/2503.12172"},"observation_digest":"sha256:7b6d2bd003fd801f86d161d5d1c89394bc971f4da934e982948bb3aa8eaabba2","observation_id":"3cf3f879-e088-4b3d-af5d-108fd74f864d","resolution":{"observed_at":"2026-05-23T00:15:14.773974Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"cited_work":{"arxiv_id":"2504.20111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20111","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Forging and removing latent-noise dif- fusion watermarks using a single image","venue":null,"work_id":"d492a374-5996-4ba5-b01b-2bc95e63b841","year":2025},"citing_paper":{"arxiv_id":"2507.07871","last_updated":"2026-05-11T08:00:17Z","snapshot_observed_at":"2026-08-14T12:50:51.890540Z","submitted_at":"2025-07-10T15:52:32Z","title":"Mitigating Watermark Forgery in Generative Models via Randomized Key Selection","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-19T05:25:41.898297Z"},"links":{"cited_paper":"/paper/2504.20111","citing_paper":"/paper/2507.07871"},"observation_digest":"sha256:681cef71dff1ad16599b7107ebf26d6e2486c9438f9e17f27cc40f6aba4453b0","observation_id":"94593848-2fe8-431c-a2f5-b8b0271d7ce7","resolution":{"observed_at":"2026-05-19T05:27:05.485886Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.20111","snapshot_observed_at":"2026-08-05T14:40:54.417216Z","title":"Forging and removing latent- noise diffusion watermarks using a single image","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21072","last_updated":"2025-08-28T17:59:59Z","snapshot_observed_at":"2026-08-17T13:16:05.658580Z","submitted_at":"2025-08-28T17:59:59Z","title":"First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T14:40:54.417216Z"},"links":{"cited_paper":"/paper/2504.20111","citing_paper":"/paper/2508.21072"},"observation_digest":"sha256:ae7d6563fd1d1c439b56f5c1992ac89112f81663beb81051bb6e8709e36f2414","observation_id":"37ef5f00-69df-4b38-a540-728fae0bfd14","resolution":{"observed_at":"2026-08-05T14:40:54.417216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"cited_work":{"arxiv_id":"2504.20111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20111","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Forging and removing latent-noise dif- fusion watermarks using a single image","venue":null,"work_id":"d492a374-5996-4ba5-b01b-2bc95e63b841","year":2025},"citing_paper":{"arxiv_id":"2604.11720","last_updated":"2026-04-13T16:56:48Z","snapshot_observed_at":"2026-08-16T13:22:34.813218Z","submitted_at":"2026-04-13T16:56:48Z","title":"On the Robustness of Watermarking for Autoregressive Image Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T16:14:14.170230Z"},"links":{"cited_paper":"/paper/2504.20111","citing_paper":"/paper/2604.11720"},"observation_digest":"sha256:f85d79f84d5d2dee83ff578c6161ae3880be0d280a51cc8b78392af5940d263e","observation_id":"32f31456-46f2-44a7-8bf7-d63cb0c80428","resolution":{"observed_at":"2026-05-11T09:06:00.829930Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"cited_work":{"arxiv_id":"2504.20111","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20111","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Forging and removing latent-noise dif- fusion watermarks using a single image","venue":null,"work_id":"d492a374-5996-4ba5-b01b-2bc95e63b841","year":2025},"citing_paper":{"arxiv_id":"2605.09319","last_updated":"2026-05-10T04:32:57Z","snapshot_observed_at":"2026-08-15T03:47:31.209939Z","submitted_at":"2026-05-10T04:32:57Z","title":"PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-12T04:11:23.288357Z"},"links":{"cited_paper":"/paper/2504.20111","citing_paper":"/paper/2605.09319"},"observation_digest":"sha256:d97162327f4b7dddfcef58d0d4148bfc369743ee6558987d2f1139fe1791ff0d","observation_id":"d5f82d17-f3de-4db7-8c02-9621d52adf0d","resolution":{"observed_at":"2026-05-12T06:31:28.282831Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.20111","snapshot_observed_at":"2026-08-05T17:13:45.098365Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03539","last_updated":"2026-08-04T12:16:06Z","snapshot_observed_at":"2026-08-18T22:14:17.300844Z","submitted_at":"2026-08-04T12:16:06Z","title":"IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion Images","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T17:13:45.098365Z"},"links":{"cited_paper":"/paper/2504.20111","citing_paper":"/paper/2608.03539"},"observation_digest":"sha256:a5e86e14ee1a9ec35f82ce0bcf98285fcc24abe7b9724978879519085251d534","observation_id":"b5a91b77-c9b4-40e3-b779-f45519ef08e9","resolution":{"observed_at":"2026-08-05T17:13:45.098365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.20111/citation-record","integrity":"/paper/2504.20111/integrity","json":"/paper/2504.20111/citation-record.json","paper":"/paper/2504.20111"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:58:24.393774Z","title":"Waves: Bench- marking the robustness of image watermarks","venue":null,"work_id":"55e720d2-a019-47a7-b28b-003327fcf372","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.065498Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:bd975958ff5956684a0205b71591a020a4c247a4964d3ceee177ff29979b62c6","observation_id":"67936335-5734-4d65-8774-82dd417566ed","resolution":{"observed_at":"2026-08-16T05:58:24.396774Z","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":"2412.04653","last_updated":"2025-04-27T11:46:58Z","snapshot_observed_at":"2026-08-18T22:13:14.728136Z","submitted_at":"2024-12-05T22:50:42Z","title":"Hidden in the Noise: Two-Stage Robust Watermarking for Images","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04653","snapshot_observed_at":"2026-08-16T05:58:22.145222Z","title":"Hidden in the noise: Two- stage robust watermarking for images","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.145222Z"},"links":{"cited_paper":"/paper/2412.04653","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:4631206e9f01d2562b83852aa9e7f481c8967c8c3ea69e16e6d87c9794f09ab2","observation_id":"fa1b0f90-97d9-4147-b01c-26ce4b84f9c0","resolution":{"observed_at":"2026-08-16T05:58:22.145222Z","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":"2026-08-16T05:58:24.385371Z","title":"Adversarially robust represen- tations with smooth encoders","venue":null,"work_id":"6f94ae48-d223-4638-b6cd-3a9b2a6c34a1","year":2020},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.199624Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:a0f825609b6f4163a4a052f01607b03928eb66ae9617c0be6fa5ecdf005d12fd","observation_id":"e2b9ce1b-f000-4ead-9323-10aa93f1da9c","resolution":{"observed_at":"2026-08-16T05:58:24.388452Z","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":"2406.08337","last_updated":"2024-06-12T15:42:52Z","snapshot_observed_at":"2026-08-18T22:14:16.957533Z","submitted_at":"2024-06-12T15:42:52Z","title":"WMAdapter: Adding WaterMark Control to Latent Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08337","snapshot_observed_at":"2026-08-16T05:58:22.215808Z","title":"Wmadapter: Adding watermark control to latent dif- fusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.215808Z"},"links":{"cited_paper":"/paper/2406.08337","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:5a0156ca167d668ca0cb0b11388390c9c221e9a68b679c1219ff8ad3e555f19e","observation_id":"8db066c2-9a22-466c-bd4d-0cc4dc2b2597","resolution":{"observed_at":"2026-08-16T05:58:22.215808Z","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":"2026-08-16T05:58:24.375660Z","title":"Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification","venue":null,"work_id":"ed768b34-2948-4ff6-9d7e-d9efb58b35d1","year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.219729Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:dee80d2e758ef8af57d48758857af3dac888eec6ced85bf3a07153b41aa90674","observation_id":"0bb7073a-17a4-4547-99e8-927afb81f22e","resolution":{"observed_at":"2026-08-16T05:58:24.379069Z","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":"2026-08-16T05:58:24.275300Z","title":"On the use of automatically generated synthetic image datasets for benchmarking face recognition","venue":null,"work_id":"eef6273e-8fea-44b4-a124-224a115015b6","year":2021},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.223766Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:0bcd777a5618d5236a443b0783a9a28d2aefb95c5c1c59bb281096bcd3200e73","observation_id":"d5a15888-bbc6-4da5-814a-dd0ff65da112","resolution":{"observed_at":"2026-08-16T05:58:24.369770Z","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":"2026-08-16T05:58:24.192009Z","title":"Digital watermarking and steganography","venue":null,"work_id":"2ca14566-6586-45e1-ae47-fa4a3b23279f","year":2007},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.227290Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:52d026ba6987a4e7a2f12dd7328f376f69617cc5bafe6b939c7b59eecb982c99","observation_id":"215212fb-8ad7-4f1a-be54-7bda00642b14","resolution":{"observed_at":"2026-08-16T05:58:24.224554Z","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":"2026-08-16T05:58:22.232606Z","title":"Diffusion models beat gans on image synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.232606Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:fffe2827819e48b87e659f30cfc417e470f2bc8967c8665ac3792d4e7d7028e1","observation_id":"e5d80ed3-6e15-476d-bbed-8dd17a7e32e6","resolution":{"observed_at":"2026-08-16T05:58:22.232606Z","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":"2026-08-16T05:58:24.180103Z","title":"Watermarking images in self-supervised latent spaces","venue":null,"work_id":"072c324a-89b4-48fd-ac14-edaa49f36056","year":2022},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.235509Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:8052834e53dbcc0c1b3ed28a876858e8410a87c2dbc03263f7ea6aa16edbd964","observation_id":"936eeab1-0145-4c02-b6b8-ebca0aa635e0","resolution":{"observed_at":"2026-08-16T05:58:24.183004Z","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":"2026-08-16T05:58:24.170289Z","title":"The stable signature: Rooting watermarks in latent diffusion models","venue":null,"work_id":"bc3cdf6c-042e-4710-8b61-2e4fdd8fc6e8","year":2023},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.239251Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:04a3d652c97cfd4515eefa7023a60a41f1befb625b4a74248faf8149f3380e62","observation_id":"a6c0040c-3cbf-40ec-a0d4-cc3a5de428fc","resolution":{"observed_at":"2026-08-16T05:58:24.174470Z","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":"2410.07369","last_updated":"2025-04-21T21:40:23Z","snapshot_observed_at":"2026-08-18T18:56:38.056214Z","submitted_at":"2024-10-09T18:33:06Z","title":"An Undetectable Watermark for Generative Image Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07369","snapshot_observed_at":"2026-08-16T05:58:22.291933Z","title":"An un- detectable watermark for generative image models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.291933Z"},"links":{"cited_paper":"/paper/2410.07369","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:9eec79952d0632cbf7b18ef3d6d5e934a309ab831d4e49aaa99f7062e0a7a86b","observation_id":"85acf41b-c020-4229-8f6b-86f53a8aa9a1","resolution":{"observed_at":"2026-08-16T05:58:22.291933Z","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":"2026-08-16T05:58:24.116520Z","title":"Multimedia watermark- ing techniques","venue":null,"work_id":"8e9c47f3-199c-4d60-8039-c638dca28b42","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.376217Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:4c1cd30502e876d371d39bd176161eed3b3528327933143bf488168300db49dc","observation_id":"778af2e9-a540-439f-acf5-11d570deb9c7","resolution":{"observed_at":"2026-08-16T05:58:24.144148Z","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":"2026-08-16T05:58:24.083081Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium","venue":null,"work_id":"4fb986fb-7312-415f-b647-e32371dd598d","year":2017},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.418005Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:c9054895cefe1fd13bd642a86e3c06612de0a5f941cbce7e073f253ec4c771a8","observation_id":"0879e915-659b-4730-97db-54c4e5dbbeac","resolution":{"observed_at":"2026-08-16T05:58:24.087006Z","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":"2403.15365","last_updated":"2025-02-19T03:50:04Z","snapshot_observed_at":"2026-08-18T22:44:44.344538Z","submitted_at":"2024-03-22T17:33:11Z","title":"A Transfer Attack to Image Watermarks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15365","snapshot_observed_at":"2026-08-16T05:58:22.420874Z","title":"A transfer attack to image watermarks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.420874Z"},"links":{"cited_paper":"/paper/2403.15365","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:319d6886e756dd08088156e1adcb56a91a0cd9e055262fdadb851825e5532226","observation_id":"6e6894e1-000e-4a6e-a5d2-99f616b2bcc5","resolution":{"observed_at":"2026-08-16T05:58:22.420874Z","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":"2026-08-16T05:58:24.073370Z","title":"Exploring frequency adversar- ial attacks for face forgery detection","venue":null,"work_id":"97a0787c-3cf6-4f13-b050-4bae39467d59","year":2022},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.424560Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:1436ae81a4e09dd34ab6a39b7abac7eed47409f2081bbc5e1ebcf8b64f855c86","observation_id":"13ee8328-cf02-4fff-a176-477797d8b7d2","resolution":{"observed_at":"2026-08-16T05:58:24.076962Z","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":"2026-08-16T05:58:24.017728Z","title":"Image forgery techniques: a review","venue":null,"work_id":"1228fc93-d52c-4a07-9566-3fd7d0ee018a","year":2023},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.427055Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:1de9d7b932295420c89b8d0dbe3d8c2d1bdd8de4cc72cf98c549b6e66f649dc5","observation_id":"954651bf-7efa-4d2e-b8ac-0f163f5533f0","resolution":{"observed_at":"2026-08-16T05:58:24.045337Z","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":"1611.01236","last_updated":"2017-02-11T00:15:46Z","snapshot_observed_at":"2026-08-17T02:26:19.835254Z","submitted_at":"2016-11-04T01:11:02Z","title":"Adversarial Machine Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01236","snapshot_observed_at":"2026-08-16T05:58:22.505484Z","title":"Ad- versarial machine learning at scale","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.505484Z"},"links":{"cited_paper":"/paper/1611.01236","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:9d7e075bde4e6aef216eb1ad5ad217489549993c6b29c93f53017851deffe57d","observation_id":"ce89ded6-b927-4fb9-8e08-34d7038668ac","resolution":{"observed_at":"2026-08-16T05:58:22.505484Z","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":"2026-08-16T05:58:23.977689Z","title":"Ad- versarial examples in the physical world","venue":null,"work_id":"15e42eb3-e594-4ef8-a201-230bae8ad3f9","year":2018},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.536650Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:95f181d5a84637805408c6090f33f630c5f85912759bfda3821797f0ec1c5144","observation_id":"348f2d66-9bf2-488d-9cd7-e29401d9768e","resolution":{"observed_at":"2026-08-16T05:58:23.994820Z","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":"2026-08-16T05:58:23.967913Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"86fd8600-34e9-4740-89c1-44dba86d3f26","year":2014},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.540883Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:fa919f1f41c75ea8f2f3f2caa39552a3e224c4907ab3c8e55e9b5926543c7b0b","observation_id":"b832e45a-bf12-496f-b34e-2c313a9c07eb","resolution":{"observed_at":"2026-08-16T05:58:23.971317Z","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":"2410.05470","last_updated":"2025-03-02T02:07:21Z","snapshot_observed_at":"2026-08-18T22:16:07.631916Z","submitted_at":"2024-10-07T20:04:29Z","title":"Image Watermarks are Removable Using Controllable Regeneration from Clean Noise","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05470","snapshot_observed_at":"2026-08-16T05:58:22.544121Z","title":"Image watermarks are removable using controllable regeneration from clean noise","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.544121Z"},"links":{"cited_paper":"/paper/2410.05470","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:0954bd0c51d894aa5fb70412b8edb73b0da1511343357593897456c57533a889","observation_id":"16885a95-a109-49ca-aab7-b0bd7c49a718","resolution":{"observed_at":"2026-08-16T05:58:22.544121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16952","last_updated":"2024-01-20T19:43:04Z","snapshot_observed_at":"2026-08-18T22:20:00.510649Z","submitted_at":"2023-09-29T03:36:42Z","title":"Leveraging Optimization for Adaptive Attacks on Image Watermarks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16952","snapshot_observed_at":"2026-08-16T05:58:22.547782Z","title":"Leveraging optimization for adaptive attacks on image watermarks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.547782Z"},"links":{"cited_paper":"/paper/2309.16952","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:0eccbdaf880b977f4dec4656d7efab7f6c0c8d1772b03df749519bde4fb5e0a0","observation_id":"aa4b72d8-7291-49e9-bb34-4abfc74befbe","resolution":{"observed_at":"2026-08-16T05:58:22.547782Z","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":"2026-08-16T05:58:23.958973Z","title":"Frequency-driven imperceptible adversarial attack on semantic similarity","venue":null,"work_id":"4ff316f1-5bf8-4e02-98d2-229742945aaf","year":2022},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.553117Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:156364b58cb2c74eb65fc7b8c1f446c6d07fc885c23a2a6f3e7aa0dc1f226c9d","observation_id":"ac12b5d7-abc4-4738-8c25-baa8f9c3cef7","resolution":{"observed_at":"2026-08-16T05:58:23.962289Z","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":"2026-08-16T05:58:22.562724Z","title":"Null-text inversion for editing real im- ages using guided diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.562724Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:348215b814e9fb99ac186bbffdfda3c4739792937c2a491ed02fa1af8f4d55ab","observation_id":"1a75b364-6e67-4077-9aa2-a6096822c2f9","resolution":{"observed_at":"2026-08-16T05:58:22.562724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03283","last_updated":"2025-06-07T12:42:15Z","snapshot_observed_at":"2026-08-18T22:11:44.836291Z","submitted_at":"2024-12-04T12:57:17Z","title":"Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03283","snapshot_observed_at":"2026-08-16T05:58:22.621647Z","title":"Black-box forgery attacks on se- mantic watermarks for diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.621647Z"},"links":{"cited_paper":"/paper/2412.03283","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:1991e6e1e484d5209a22feb6990b5ddfb37c4e32f4e455f965ecb8b616970950","observation_id":"f2dbc90f-b753-401c-a933-bfebb1fbba9c","resolution":{"observed_at":"2026-08-16T05:58:22.621647Z","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":"2026-08-16T05:58:23.921806Z","title":"Digital watermark- ing: algorithms and applications","venue":null,"work_id":"0d86c65b-bba8-4ae7-aa92-6f1b47851c10","year":2001},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.672371Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:65f255ca7e615226f863a24bd72a4351df05e5bfffc6ae7abce17532486df2f0","observation_id":"89fd9af8-5b8f-434a-a06c-0d5699f6c2a4","resolution":{"observed_at":"2026-08-16T05:58:23.948922Z","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":"2026-08-16T05:58:23.816203Z","title":"A survey of digital image watermarking techniques","venue":null,"work_id":"04d011d3-e950-49b8-abbf-27518156a390","year":2005},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.702591Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:fe088a579864822b0009f81a21043d004501e7a958441be061094acee99931a9","observation_id":"c50b9620-c36a-48ef-83a5-cc1df6a720a7","resolution":{"observed_at":"2026-08-16T05:58:23.858295Z","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":"2026-08-16T05:58:22.718768Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.718768Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:2381639329044b909c53a8cf8575a889151e29de9e209a8b00f9513a1766fbb3","observation_id":"1ec4efb4-1bcf-41d8-9db2-024b30a68786","resolution":{"observed_at":"2026-08-16T05:58:22.718768Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.00076","last_updated":"2024-02-14T07:39:54Z","snapshot_observed_at":"2026-08-19T00:02:06.494195Z","submitted_at":"2023-09-29T18:30:29Z","title":"Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.00076","snapshot_observed_at":"2026-08-16T05:58:22.722600Z","title":"Robustness of ai-image detectors: Fundamental lim- its and practical attacks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.722600Z"},"links":{"cited_paper":"/paper/2310.00076","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:c6394c88caeb8487260cfaa384b6e6d38ec698e69035d5663e3cef9417f7444d","observation_id":"5513e557-78e5-4616-b495-de25da8962bb","resolution":{"observed_at":"2026-08-16T05:58:22.722600Z","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":"2026-08-16T05:58:22.726892Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.726892Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:0dddcea24f2dc98efc107a0ed4cad3af79b82705c03c3d91cc632839dc510862","observation_id":"303274f0-fcab-4ad5-95fa-d2cd86cfbfa0","resolution":{"observed_at":"2026-08-16T05:58:22.726892Z","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":"2026-08-16T05:58:23.773457Z","title":"Communication in the presence of noise","venue":null,"work_id":"17afa501-99e5-4d2f-bc13-d63ec2a73ab2","year":1949},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.731097Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:cd77a29964ef07f16172a12a7ca4158739815aca517db2fa0250aa3e9eb04ea0","observation_id":"6e45bdb9-3c9d-4a09-b7e2-251ae8a6999f","resolution":{"observed_at":"2026-08-16T05:58:23.776312Z","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":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-16T05:58:22.776104Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.776104Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:109c89c210a3c1ee3762d69a58c98fbe8efd6341ff283a38685d794cddc76a2d","observation_id":"e49c005f-9e0d-4321-b283-800ac6fd3f90","resolution":{"observed_at":"2026-08-16T05:58:22.776104Z","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":"2026-08-16T05:58:22.862750Z","title":"Stegastamp: Invisible hyperlinks in physical photographs","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.862750Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:9c6f45c63cf59e50a70e877a0164243fa9a0fc2fc90dd84caa0df4a88046d46d","observation_id":"c6377afe-a684-468b-9082-6a50a649e11a","resolution":{"observed_at":"2026-08-16T05:58:22.862750Z","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":"2026-08-16T05:58:23.762242Z","title":"Watermark faker: towards forgery of digital image water- marking","venue":null,"work_id":"06c432fe-1244-471b-9d02-fe5c52cbefb8","year":2021},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.928044Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:965f458f5b11902c27d778fa22cc776541d5a7ea9d35bff8a80943fa4d7a5bf5","observation_id":"725f2aa7-a07d-414e-ac00-e56ab1ce8fa5","resolution":{"observed_at":"2026-08-16T05:58:23.765120Z","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":"2026-08-16T05:58:23.754622Z","title":"Image quality assessment: from error visibility to structural similarity","venue":null,"work_id":"c31e9531-57df-4e0e-bd1f-efb243b1ce56","year":2004},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.932547Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:4fa7a80117c1f8e540c2688c162ae1d88c1ad9d2d7327ed4338c038645aa2061","observation_id":"5969ca2a-eb67-43cf-acf1-0557c314b805","resolution":{"observed_at":"2026-08-16T05:58:23.757398Z","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":"2305.20030","last_updated":"2023-07-04T03:52:06Z","snapshot_observed_at":"2026-08-16T15:27:50.585865Z","submitted_at":"2023-05-31T17:00:31Z","title":"Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.20030","snapshot_observed_at":"2026-08-16T05:58:22.936261Z","title":"Tree-ring watermarks: Fingerprints for diffu- sion images that are invisible and robust","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.936261Z"},"links":{"cited_paper":"/paper/2305.20030","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:835973f07c19f38b9296e46c7d857da83666e3f7d516190d41de196608022361","observation_id":"e1de5b1f-6a7b-44af-8bfd-560f974b9c0c","resolution":{"observed_at":"2026-08-16T05:58:22.936261Z","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":"2026-08-16T05:58:23.679516Z","title":"Secret and public key image watermarking schemes for image authentication and ownership verification","venue":null,"work_id":"a307dc9f-e644-442c-bec9-96f510517e4d","year":2001},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.940516Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:0b27f68fa0019d58765f658a239fcdc098795efe9287443eb6d28696e63e462b","observation_id":"e36212c2-53f4-4048-b73a-9adfc85c27ec","resolution":{"observed_at":"2026-08-16T05:58:23.722158Z","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":"2026-08-16T05:58:23.672117Z","title":"Flexible and secure watermarking for latent diffusion model","venue":null,"work_id":"16a88b74-e33a-4240-bb05-61d7d1945028","year":2023},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:22.974949Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:e7f6c7c8971755b2e11146772cca7443c2eb12d107e7a3ab4a85f52dd207767b","observation_id":"9fdd21e4-2276-430e-a79d-3252761370ef","resolution":{"observed_at":"2026-08-16T05:58:23.674929Z","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":"2406.09026","last_updated":"2024-06-13T12:01:28Z","snapshot_observed_at":"2026-08-18T22:19:11.904179Z","submitted_at":"2024-06-13T12:01:28Z","title":"Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09026","snapshot_observed_at":"2026-08-16T05:58:23.032577Z","title":"Ste- ganalysis on digital watermarking: Is your defense truly im- pervious? arXiv preprint arXiv:2406.09026, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.032577Z"},"links":{"cited_paper":"/paper/2406.09026","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:9550d9f7691559b19a83fb94ad20a69d0f53ff1312a5ad7301765274be9d0560","observation_id":"efbf4054-d23c-4543-8a3a-5318fae6a139","resolution":{"observed_at":"2026-08-16T05:58:23.032577Z","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":"2026-08-16T05:58:23.664272Z","title":"Gaussian shading: Prov- able performance-lossless image watermarking for diffusion models","venue":null,"work_id":"01180662-d073-4cbc-8492-9c3bbc19c24a","year":2024},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.097514Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:826e650ef1843808f8fa185fa36bc4ba9bc5a94f0e3bf8e973adae0167838505","observation_id":"5533f29b-aedd-42a2-b95a-7c307fc131e1","resolution":{"observed_at":"2026-08-16T05:58:23.667224Z","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":"1909.01285","last_updated":"2019-09-03T16:28:40Z","snapshot_observed_at":"2026-08-15T02:14:00.192160Z","submitted_at":"2019-09-03T16:28:40Z","title":"Robust Invisible Video Watermarking with Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.01285","snapshot_observed_at":"2026-08-16T05:58:23.157901Z","title":"Robust invisible video watermark- ing with attention","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.157901Z"},"links":{"cited_paper":"/paper/1909.01285","citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:32015b825f2fdabb92641d0852254d9648fc7cd20872eab51e8ae2ab911457ed","observation_id":"7a34009a-2556-4855-af07-45e94b7bce92","resolution":{"observed_at":"2026-08-16T05:58:23.157901Z","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":"2026-08-16T05:58:23.654661Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"a6699790-b43f-4b77-94d5-d5c521939ddd","year":2018},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.165751Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:217e80c7c2a21768e8569c010e1986185937a4ffb5a5eb43f7eaa3cf7931f1d1","observation_id":"ac8756ba-adf8-42a1-a478-9bd1bb888dbc","resolution":{"observed_at":"2026-08-16T05:58:23.659517Z","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":"2026-08-16T05:58:23.625060Z","title":"Invisible image watermarks are provably removable using generative ai","venue":null,"work_id":"d2ff895a-b8f6-4bae-a73b-cc564dd8f9b9","year":2025},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.167797Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:dd9a9b160933ecd5ec23524163a2b236c4488691dfa18f7d7256c0abddfea31d","observation_id":"209e1dd2-631d-4444-8e89-e0c79fc747c8","resolution":{"observed_at":"2026-08-16T05:58:23.648431Z","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":"2026-08-16T05:58:23.515944Z","title":null,"venue":null,"work_id":"9242ef30-53b2-4fa7-9a33-a3ed186c78cc","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.171825Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:073c5558898100e17c9e0d3752668999bf8dd3a81936eb937396ba4a271c6a39","observation_id":"d5faa0e3-cc16-4b4e-a2ae-7db6cc023e50","resolution":{"observed_at":"2026-08-16T05:58:23.581715Z","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":"2026-08-16T05:58:23.506447Z","title":"We have set hy- perparametersϵ in Eq","venue":null,"work_id":"23dd2869-6f23-4b71-8bd8-bca9328a9792","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.175059Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:cf5bf54bbba0576db0d4c87bf8a880c975879b881243c3ace5658ded83c941ee","observation_id":"bbc6a241-f8a9-426d-aecb-335393942a69","resolution":{"observed_at":"2026-08-16T05:58:23.509448Z","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":"2026-08-16T05:58:23.497445Z","title":"In this section, we show that this works better in practice as compared to using a fixed pixel value of 127.5","venue":null,"work_id":"3f1bf0c7-ed70-443d-9c6b-a7593d227ed1","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.178062Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:3c4dc83935314d8a11c6b8c500a51682f1cbd5bc1c1cd09e2a7de6ed85ba24fa","observation_id":"4997457c-1a0c-4150-bf6d-d19cb5c1c27a","resolution":{"observed_at":"2026-08-16T05:58:23.500636Z","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":"2026-08-16T05:58:23.487982Z","title":"The optimization objective remains the same as Equation 7, i.e., min δ ∥Eϕ(x(w) +δ)−Eϕ(x(c))∥2 +λ∥δ∥2, (7) where x(c) is a randomly selected real image","venue":null,"work_id":"ff991b32-6700-4837-8fed-fcef48694a33","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.181063Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:ed3f71a773cbbc17f43fc0c86ba3a1fcaffe456f25420f5e2e6d51d66c814883","observation_id":"220988fb-1e7a-463c-ba56-2dfd007e1e2d","resolution":{"observed_at":"2026-08-16T05:58:23.491448Z","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":"2026-08-16T05:58:23.436377Z","title":"Prompt Datasets We utilize two datasets namely, the Gustavosta/Stable- Diffusion-Prompts1 dataset and the runwayml-stable- diffusion-v1-5-eval-random-prompts2 dataset","venue":null,"work_id":"7c1555c7-00be-4c8a-92a1-1a2c3f012222","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.184110Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:f797f38d6050179d540a455221849561aee9b64e93691d29787c74623d1b7478","observation_id":"c8509b4f-35c3-4318-99fd-56e7800271a1","resolution":{"observed_at":"2026-08-16T05:58:23.449235Z","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":"2026-08-16T05:58:23.371362Z","title":"We show examples of forgery attacks on Tree-Ring in Figure 11, RingID in Figure 12, WIND in Figure 13, and Gaussian Shading in Figure 14","venue":null,"work_id":"6530d838-f7c4-4e6d-9135-dcca39afcbe7","year":null},"citing_paper":{"arxiv_id":"2504.20111","last_updated":"2025-04-27T18:29:26Z","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T05:58:23.212839Z"},"links":{"citing_paper":"/paper/2504.20111"},"observation_digest":"sha256:4c632685dddc5891ec4ba000e226aece3cf4745c425c84cd1245a0c863db6648","observation_id":"0e269bc8-0232-4fe0-a25d-b639cafd4940","resolution":{"observed_at":"2026-08-16T05:58:23.410274Z","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":"2504.20111","last_updated":"2025-04-27T18:29:26Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T22:14:06.685862Z","submitted_at":"2025-04-27T18:29:26Z","title":"Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":48},"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 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 6 inbound Pith citation observations for arXiv:2504.20111."}