{"as_of":"2026-08-17T17:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:54cfc7cdb3c9c4b6a416882d774db08566028bc1d0471fbef185a9912a4f6fce","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:35:31.720900Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2504.17894/citation-record","integrity":"/paper/2504.17894/integrity","json":"/paper/2504.17894/citation-record.json","paper":"/paper/2504.17894"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T10:35:32.072226Z","title":"Blended diffusion for text-driven editing of natural images","venue":null,"work_id":"52f67471-522d-4c74-9161-448f852cfc02","year":2022},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.623945Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:a35ff10580e055593266b8c867c96373fe270846529ec35a0b7744414c423ec1","observation_id":"56ce5d44-876e-4f5c-a01c-8c57ea3b38ed","resolution":{"observed_at":"2026-08-16T10:35:32.076156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09800","last_updated":"2023-01-18T17:31:52Z","snapshot_observed_at":"2026-08-16T16:15:18.101197Z","submitted_at":"2022-11-17T18:58:43Z","title":"InstructPix2Pix: Learning to Follow Image Editing Instructions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09800","snapshot_observed_at":"2026-08-16T10:35:31.628468Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.628468Z"},"links":{"cited_paper":"/paper/2211.09800","citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:273a1f4c92f766bfc72b212c56e1e44e37451d7b18fb3cb30fa45b6064698636","observation_id":"1bb1be5e-c29d-4e0f-a6d7-f475657a2bcd","resolution":{"observed_at":"2026-08-16T10:35:31.628468Z","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":"2026-08-16T10:35:32.060709Z","title":"IMPRESS: Evaluat- ing the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Genera- tive AI","venue":null,"work_id":"0fce037f-fc44-4590-ac24-2740eb4571c7","year":2023},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.632369Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:5c2f3b4860d49db5eeaae5b4dfc9988808d34624b11af4fdcb72475ed4009f7a","observation_id":"ee34364c-2bdc-4c8f-8c61-c1c008d1931b","resolution":{"observed_at":"2026-08-16T10:35:32.064791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:32.049080Z","title":"Editshield: Protecting unautho- rized image editing by instruction-guided diffusion models","venue":null,"work_id":"ae68dc98-b415-4765-a557-75ea9c0e9d9b","year":2024},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.636061Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:3fa4b8ff8ea9150634e1d903e5e571f24743f12a16e693b6d803c9a8d917a751","observation_id":"ead79cb6-902d-49fa-8ee5-a07fc5aa5943","resolution":{"observed_at":"2026-08-16T10:35:32.053158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:32.030964Z","title":"Diffusionguard: A robust defense against malicious diffusion-based image editing","venue":null,"work_id":"f68036ce-04cb-4c31-8c93-8f138a2e295d","year":2025},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.644005Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:88752bcc7686ecad9783032625e4b2603f8338f8a402ba9910bc0bca5d686fff","observation_id":"2b003517-cd2b-4cd7-a809-195fe62ce95f","resolution":{"observed_at":"2026-08-16T10:35:32.035005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.647573Z","title":"Goodfellow, Jonathon Shlens, and Christian Szegedy","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.647573Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:1ede50db1cc76439aedef183789f98d42a0fe08e375f1b64b7cd459c89749ee6","observation_id":"d1c38918-119c-4b3c-9934-7d70d89ca1a5","resolution":{"observed_at":"2026-08-16T10:35:31.647573Z","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":"2026-08-16T10:35:31.651397Z","title":"Clipscore: A reference-free evaluation met- ric for image captioning, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.651397Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:8481e5b9c64fea18c93e649423709e47549485e72aadda5a3a8b22ea27053c36","observation_id":"5f02481b-02a4-44e9-b129-9f8ad871ab19","resolution":{"observed_at":"2026-08-16T10:35:31.651397Z","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":"2026-08-16T10:35:31.655029Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.655029Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:d8fbcf218d9db8b02747c9f5f7c8c5b64c1debbea96a1cce78a0f645ba5b851c","observation_id":"85871b26-872f-4f7e-88d2-4fc4ef7a85e6","resolution":{"observed_at":"2026-08-16T10:35:31.655029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-16T10:35:31.658715Z","title":"Mist: Towards improved adversarial examples for diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.658715Z"},"links":{"cited_paper":"/paper/2305.12683","citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:12fa4ae847ad9ca3a341fc185bddf51e2352c55c50acb1cb2b3f85413574c2c9","observation_id":"ba039217-6e03-4291-af14-ac043783ac76","resolution":{"observed_at":"2026-08-16T10:35:31.658715Z","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":"2026-08-16T10:35:31.998536Z","title":"Adversarial example does good: Preventing paint- ing imitation from diffusion models via adversarial exam- ples","venue":null,"work_id":"cee4d5b5-f824-4896-85a4-6f8767bad4d8","year":2023},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.663087Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:7766cb9c50a4f984a5484226c03a063151b0e225b75cc1e42ab3fbee6a08de39","observation_id":"d7ac8caa-0049-476a-8741-eb2c5154ea20","resolution":{"observed_at":"2026-08-16T10:35:32.002406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.987839Z","title":"Ppr10k: A large-scale portrait photo retouch- ing dataset with human-region mask and group-level consis- tency","venue":null,"work_id":"f860fbcd-5338-4779-a01a-cceaf4577648","year":2021},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.666322Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:b150dd52702ed7df0c8ed85e69f01c438ef70d38ab7457c04de93e5cc2f25218","observation_id":"b9096893-525c-44c4-94cd-d039b27147df","resolution":{"observed_at":"2026-08-16T10:35:31.991495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.669842Z","title":"Diff- protect: Generate adversarial examples with diffusion models for facial privacy protection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.669842Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:3052a02938fd22389b5cf65c3588f6f8ed62423e4fefff353603d7bb44ee927e","observation_id":"285b79f3-1e09-43ca-abeb-2042e71da163","resolution":{"observed_at":"2026-08-16T10:35:31.669842Z","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":"2026-08-16T10:35:31.976808Z","title":"Distraction is all you need: Memory-efficient im- age immunization against diffusion-based image editing","venue":null,"work_id":"af5da652-f30b-4692-a6e4-8c581e6a1122","year":null},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.673336Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:bac8f14a14da0eabed07030b8860ebb01b337ade53620b93c92c44f989db9f25","observation_id":"dc35d382-a658-4edb-b2e4-14eeea5b2fb2","resolution":{"observed_at":"2026-08-16T10:35:31.980502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.677144Z","title":"Towards deep learning models resistant to adversarial attacks, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.677144Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:e76e99f1d3fd2df5fa6b7725288547ea04b0731b3130cf588c39a4cb986f61ee","observation_id":"7dfa2b5f-1cde-4c0a-b97e-9c4945aede19","resolution":{"observed_at":"2026-08-16T10:35:31.677144Z","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":"2026-08-16T10:35:31.680613Z","title":"Sdedit: Guided image synthesis and editing with stochastic differential equa- tions, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.680613Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:4fb21cc85ea1fda1e3b2e88bbd19f7799c9abe98a64aa300360637841c54fd19","observation_id":"faa1abb2-3aa1-4d0d-b135-e73c4af3c868","resolution":{"observed_at":"2026-08-16T10:35:31.680613Z","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":"2026-08-16T10:35:31.952791Z","title":"High-resolution image syn- thesis with latent diffusion models, 2021","venue":null,"work_id":"23c7e4d4-bf81-4644-9948-86f36eaa0bc7","year":2021},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.684023Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:bd147bf3f8252288bf11133c2bf32d2d05ba2264d10538c96ee5856741587cc8","observation_id":"ec85b1de-98db-4392-96fd-6bafdbe91115","resolution":{"observed_at":"2026-08-16T10:35:31.956583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.687688Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.687688Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:d70575953e44e7a2a8b55343432b076be8160f33932a7b73e936ccd4981394b3","observation_id":"f8aba3ac-05cb-4887-9909-acc008f77c6c","resolution":{"observed_at":"2026-08-16T10:35:31.687688Z","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":"2026-08-16T10:35:31.934637Z","title":"Raising the cost of malicious ai-powered image editing","venue":null,"work_id":"32afa037-6312-4730-a863-3f52d67c25f3","year":2023},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.691287Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:5c4fff06a1511ff08c8355f8c582b935417e7011fc2abdf259caaf1a72d3d99e","observation_id":"419606e6-4de1-48cf-a761-deac16703d9a","resolution":{"observed_at":"2026-08-16T10:35:31.938428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.923627Z","title":"On the suitability of lp-norms for creating and preventing adver- sarial examples","venue":null,"work_id":"9b9a57f3-aa50-458b-8d64-6bf73b0c0a0f","year":2018},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.694800Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:45e9828c742e45b2a5ac2c7d3daa325a1e76e8de2a0333e6f1db95232c13b487","observation_id":"e737d2f6-75f0-4f3c-a054-f256afced5e9","resolution":{"observed_at":"2026-08-16T10:35:31.927493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.912152Z","title":"Sheikh and Alan C","venue":null,"work_id":"0e271b1b-c78c-4673-bd81-77578597dda8","year":2006},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.698422Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:29b041721b90bae610e3566081ff4ec30cdca75f807dc2f0adb56d8694c6e840","observation_id":"52da5832-4ec4-4e0f-b56d-4ea08aa2b566","resolution":{"observed_at":"2026-08-16T10:35:31.916025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.900303Z","title":null,"venue":null,"work_id":"b1394ab9-ef2b-4c3f-b7a6-c3a189d2eeb7","year":1992},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.702638Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:2ba909b50dc6b2972ebf36ae5f194c1657a186848d89086d2c12d2bfacf7f62e","observation_id":"b9ba86ae-4400-4f56-963a-80a4320c6ce7","resolution":{"observed_at":"2026-08-16T10:35:31.904274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.706417Z","title":"Bovik, H.R","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.706417Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:dac15e5d423a4439f50ae9cfd28f77c411514145497bab8ca3bf3a2de946b31d","observation_id":"12d0b8d9-9cda-43f6-8c35-79d75bfb9f80","resolution":{"observed_at":"2026-08-16T10:35:31.706417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07199","last_updated":"2025-04-28T14:16:29Z","snapshot_observed_at":"2026-08-16T13:01:04.705342Z","submitted_at":"2024-11-11T18:21:43Z","title":"OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07199","snapshot_observed_at":"2026-08-16T10:35:31.710073Z","title":"Omniedit: Building image edit- ing generalist models through specialist supervision","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.710073Z"},"links":{"cited_paper":"/paper/2411.07199","citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:abc4911a9585d2937a63d8d28e01d7a097030de9cef804aa43eb0b8f03913aa0","observation_id":"cca4be65-3cad-474b-9dc8-0edb7036108e","resolution":{"observed_at":"2026-08-16T10:35:31.710073Z","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":"2026-08-16T10:35:31.882230Z","title":"Toward effective protection against diffusion-based mimicry through score distillation","venue":null,"work_id":"4689c147-d5f9-41cb-bff0-7587baa863d0","year":2024},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.713926Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:031f4f7a765f8cf85c39303dc2a3bd2ad7f756a258c0c36550367056a14bd2c7","observation_id":"0681d7df-5ef0-4480-9eb4-ddbd6e54eb96","resolution":{"observed_at":"2026-08-16T10:35:31.886209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.717449Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.717449Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:ee58230b23658f40b4e8dce628389d4fec65b611a79da31d341a03c43022a050","observation_id":"f25cb07b-98e7-4be3-9bfc-50b209101c00","resolution":{"observed_at":"2026-08-16T10:35:31.717449Z","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":"2026-08-16T10:35:31.862291Z","title":"Towards large yet imperceptible adversarial image perturbations with perceptual color distance","venue":null,"work_id":"5d27ec70-0116-4a1b-9f26-cb89bbe0b36a","year":2020},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.720900Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:f60e58aae61b522fb5b186eda7f0a2ee5a1845e63523d8b364a5b32cad35167e","observation_id":"04b691d3-1cf8-4adc-8cc2-ffdc8a7c579c","resolution":{"observed_at":"2026-08-16T10:35:31.867867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-16T10:35:31.640134Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-16T10:35:31.640134Z"},"links":{"citing_paper":"/paper/2504.17894"},"observation_digest":"sha256:4e9e5fad5dbd2171691315ddf620164e92109fcb6c690503f8f622b28789a5e5","observation_id":"ca49cc03-5c6b-44e4-90d5-c3bbda7545e3","resolution":{"observed_at":"2026-08-16T10:35:31.640134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.17894","last_updated":"2025-07-31T20:46:31Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T12:33:54.080505Z","submitted_at":"2025-04-24T19:14:50Z","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":27},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2504.17894."}