{"as_of":"2026-08-08T17:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57df951d2adba4072d63c15dd0ffe8bb43bdfc7eee7f891a392cc6bf320f5311","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T04:59:57.972519Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2607.22386/citation-record","integrity":"/paper/2607.22386/integrity","json":"/paper/2607.22386/citation-record.json","paper":"/paper/2607.22386"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T04:59:53.203039Z","title":"M, Archana Tampy.S, and Sasikumar M","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.203039Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:ce09e9d234425623bd294532e0a52f126cb94c4c76deee1e4053c53f02a5575b","observation_id":"44fe39cd-7314-4812-8d83-92fb2c1a6c0f","resolution":{"observed_at":"2026-08-01T04:59:53.203039Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T04:59:53.275118Z","title":"Combined dwt-dct digital image watermarking.Journal of Computer Science, 3(9): 740–746, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.275118Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:d4a55c6f5398f27d0f27a8ebb0b2fe8e48d0a3d628ff72f67e6ba372b12c5bc3","observation_id":"18f0a59e-81d4-4818-8739-6304191e32f8","resolution":{"observed_at":"2026-08-01T04:59:53.275118Z","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":"2026-08-01T04:59:53.340461Z","title":"Removing box-free watermarks for image-to-image models via query- based reverse engineering","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.340461Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:6d9465a1de16ec0e3f8b604b8b1314f364aa6b9cc7c88ab484e961efc44f718e","observation_id":"b19a91ca-4606-4e38-a123-1a9e05980ba5","resolution":{"observed_at":"2026-08-01T04:59:53.340461Z","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":"2026-08-01T04:59:53.488039Z","title":"Box-free model watermarks are prone to black-box removal attacks.IEEE Transactions on Pattern Analysis and Machine Intelligence,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.488039Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:90c7fdea17d724fb8a7418ace16e365ca25b1a72d4e30113c1c7c89bd9a95729","observation_id":"e7dfffee-0966-4a53-99c9-13f086f3dcbe","resolution":{"observed_at":"2026-08-01T04:59:53.488039Z","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":"2026-08-01T04:59:53.789536Z","title":"Varia- tional image compression with a scale hyperprior","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.789536Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:24a6a99912c576a0591753c09ce023028984def4678f0e2920cdd8af597ccc14","observation_id":"4b81b8ba-9fca-4847-a1d8-3b48695e8626","resolution":{"observed_at":"2026-08-01T04:59:53.789536Z","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":"2026-08-01T04:59:53.952530Z","title":null,"venue":null,"work_id":null,"year":1958},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.952530Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:aa22cf69f124dae623dd24cfb079af0377ea0a49ccc3d0eb94cb5ebde9afc1a3","observation_id":"cf343946-cdc4-4713-8a38-adec342d42a1","resolution":{"observed_at":"2026-08-01T04:59:53.952530Z","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":"2026-08-01T04:59:54.088497Z","title":"Trustmark: Robust watermarking and water- mark removal for arbitrary resolution images","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:54.088497Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:7407943096a0a6496aa93d7a0db4a949d8c6cefde764b658b692c9dc01127c0b","observation_id":"4e3ef146-6b61-44e0-be59-a6d29aebf997","resolution":{"observed_at":"2026-08-01T04:59:54.088497Z","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":"2026-08-01T04:59:54.297958Z","title":"High-frequency matters: Attack and defense for image-processing model watermarking.IEEE Transactions on Services Computing, 17(4):1565–1579, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:54.297958Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:a71e1cd1ef5a689243b087be52603433d40f10ae4004bebdb4454ec6d3a4b8f9","observation_id":"6eae8765-e84b-4a9b-bbca-d3498e7eec1a","resolution":{"observed_at":"2026-08-01T04:59:54.297958Z","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":"2026-08-01T04:59:54.453611Z","title":"Learned image compression with discretized gaussian mixture likelihoods and attention modules","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:54.453611Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:1679e99b04d40785f4c08093490553c675453aada80f4e0aa4d4e5be91dac2fe","observation_id":"ff50b675-0a34-41c0-a4ec-f2aa5e5a7aa1","resolution":{"observed_at":"2026-08-01T04:59:54.453611Z","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":"2026-08-01T04:59:54.591251Z","title":"Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:54.591251Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:1d8488674402fff5f61251924ecd2e8231f751d6c4b5c4d21bd3c035370e78c4","observation_id":"51bb7eef-6785-4f67-8730-f7a14bf1f509","resolution":{"observed_at":"2026-08-01T04:59:54.591251Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T04:59:54.726473Z","title":"Aqualora: toward white-box protection for customized stable diffusion models via watermark lora","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:54.726473Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:8683da61e6a477cdd8b7e2514b18d8b9ddafb05cb2c5c191958d446a50e109d2","observation_id":"bf191346-436d-4509-834f-28ca7aa00af7","resolution":{"observed_at":"2026-08-01T04:59:54.726473Z","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":"2026-08-01T04:59:54.911774Z","title":"The sta- ble signature: Rooting watermarks in latent diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:54.911774Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:be66bec0ee230ae9883cd6dbaedfcc37f62c0a6eecbb5edc5549530e7809ca28","observation_id":"052f72cf-4726-4613-96de-812870ceeb26","resolution":{"observed_at":"2026-08-01T04:59:54.911774Z","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":"2026-08-01T04:59:55.040102Z","title":"An undetectable watermark for generative image models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.040102Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:bc5ed7aba107e4cfbe2c9eff7f649fcfbfdf7369c7f6d1d099bf77dbb3189295","observation_id":"cd1aff31-bd43-4181-bad7-2b577e1b01bf","resolution":{"observed_at":"2026-08-01T04:59:55.040102Z","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":"10.52202/079017-3564","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Freqmark: Invisible image watermarking via frequency based optimization in latent space","venue":null,"work_id":"a5259017-e4a1-4cd5-a801-3e41e40ed967","year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.169328Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:c0ad6245dde41f412caccd5dc97148ec7702b0f64dd3252f0ca39033297d390c","observation_id":"d574e410-4110-43e5-bfe2-ab81d527332f","resolution":{"observed_at":"2026-08-01T05:03:35.079239Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-03T20:08:12.267294+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T20:08:12.267294+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-01T04:59:55.359880Z","title":"Deep residual learning for im- age recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.359880Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:03edd66b3e58ef80d4902eccb6dc47c82ec10773c4525797e25b42f5d37f2dd5","observation_id":"f760ef81-3ee4-47ef-bd12-e00a29204e9f","resolution":{"observed_at":"2026-08-01T04:59:55.359880Z","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":"2026-08-01T04:59:55.419022Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.419022Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:ae3c9679878d0b16960face7bb1d5903c6b5d0d458712c15ebf3dc87da0c7b18","observation_id":"554c952a-bec9-4875-a3da-f30b53b2ef44","resolution":{"observed_at":"2026-08-01T04:59:55.419022Z","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":"2026-08-01T04:59:55.613215Z","title":"Spherical watermark: Encryption-free, lossless watermarking for diffusion models","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.613215Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:062c91a591f677084ff995daf07ff5b08fcb32633565c7cb141b7a1a95ce257d","observation_id":"454b8cf6-cab0-41cf-b915-2a50e54a2e5c","resolution":{"observed_at":"2026-08-01T04:59:55.613215Z","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":"2026-08-01T04:59:55.829327Z","title":"ROBIN: Robust and invisible watermarks for diffusion models with adversarial optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.829327Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:fc6965922a57fb90bb65acf75bc7f797b72d42a1d5c1e69d92f58a02c50c76ca","observation_id":"b924a320-bcb1-48bc-bc59-a59a0ab76b31","resolution":{"observed_at":"2026-08-01T04:59:55.829327Z","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":"2026-08-01T04:59:55.975395Z","title":"Semantic watermarking reinvented: Enhancing robustness and generation quality with fourier integrity","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:55.975395Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:688f4d78d090ba6edf8fe43b6f23f5fda9306606846fba8ea6f9a1c6d2be7b7e","observation_id":"770424f9-928a-4db8-be2f-1920ce566f4f","resolution":{"observed_at":"2026-08-01T04:59:55.975395Z","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":"2026-08-01T04:59:56.111854Z","title":"Gaussmarker: Robust dual-domain watermark for diffusion models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:56.111854Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:94f95a54e34ffa8643d572cbabe51b9d082c8b5b636d3494f06a50db1de5b3f0","observation_id":"30ea8c6e-db95-4c40-bb0f-012becf7d0ca","resolution":{"observed_at":"2026-08-01T04:59:56.111854Z","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":"2026-08-01T04:59:56.302278Z","title":"Lawrence Zitnick","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:56.302278Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:417f71b3dc9fbb096084c104dc672a011473f25a92105a75974ed8b48356203f","observation_id":"75701052-b483-4dab-acfd-248a6f30049d","resolution":{"observed_at":"2026-08-01T04:59:56.302278Z","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":"2026-08-01T04:59:56.504385Z","title":"Erase and repair: An efficient box-free removal attack on high-capacity deep hiding.IEEE Transactions on Information Forensics and Security, 18:5229–5242, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:56.504385Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:54f2eee005cd36d373710e5740c4313b75982b7f4428edb67a082f5242efbc6f","observation_id":"e04c4405-b4b9-4ec7-8c31-7bbc98000739","resolution":{"observed_at":"2026-08-01T04:59:56.504385Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-01T04:59:56.723761Z","title":"Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models.Machine Intelligence Re- search, 22:730–751, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:56.723761Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:8fee4b7cd5994c7552e6b29d63db3012255187dbdd55154495b8e64730c35658","observation_id":"db619982-e641-4544-bf88-4f63e3206597","resolution":{"observed_at":"2026-08-01T04:59:56.723761Z","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":"2026-08-01T04:59:56.896229Z","title":"A watermark-conditioned diffusion model for ip protection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:56.896229Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:c25f0f0ea6d20c34a89e7bdef4af0bc632c9f6af06ea2450cd9d21433d50dcc9","observation_id":"a8a94a37-c510-46a3-818c-562966d8c812","resolution":{"observed_at":"2026-08-01T04:59:56.896229Z","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":"2026-08-01T04:59:57.006363Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.006363Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:9e0326edacb6313b1b88884980d4151fc714e893b7969a8396a1c5261a5c5a12","observation_id":"d94046f6-0058-44f3-8ff3-4710ef04b080","resolution":{"observed_at":"2026-08-01T04:59:57.006363Z","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":"2026-08-01T04:59:57.112723Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.112723Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:5ed9600443145f7412d6e99c9e257b5306825936c0adc8f983b722707171abd5","observation_id":"fad639e5-9236-4cba-bc30-306f4ec72e31","resolution":{"observed_at":"2026-08-01T04:59:57.112723Z","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":"2026-08-01T04:59:57.178795Z","title":"Rumelhart, Geoffrey E","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.178795Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:e17de458d6d7e1dc4a84104efd8cc1a36ac55e86dee99bd63607406e34d2b1cf","observation_id":"35463ae8-5e13-4420-aacb-ffb249fc36c2","resolution":{"observed_at":"2026-08-01T04:59:57.178795Z","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":"2026-08-01T04:59:57.250511Z","title":"Improved techniques for training gans","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.250511Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:e517087d863861f1629846b97f79ee6a3ebdead99d4e9be9eab51d7d97466728","observation_id":"b40cb655-ac1b-447d-b7ef-afbd0ae8f6e0","resolution":{"observed_at":"2026-08-01T04:59:57.250511Z","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":"2026-08-01T04:59:57.323672Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.323672Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:84893ddbf3b4a3f5fbac118384bd5a39df01545d53cc77f949790dfd8e85474f","observation_id":"af95411b-cf19-40ba-a6f9-523c0cb6d85e","resolution":{"observed_at":"2026-08-01T04:59:57.323672Z","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":"2026-08-01T04:59:57.381674Z","title":"RAW: A robust and agile plug-and-play watermark framework for AI-generated images with provable guarantees","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.381674Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:1f0c41e8bc363bbc49de982cc71399289e0c2793010a186b785c088605d3449a","observation_id":"37939c58-24fb-45a9-afc3-5cad5482a464","resolution":{"observed_at":"2026-08-01T04:59:57.381674Z","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":"2026-08-01T04:59:57.449908Z","title":"Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.449908Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:382db33ca18230f8a5047f873067dc9436f04b79705271529946185b9faac4e8","observation_id":"ac3456b7-58aa-4b6d-b618-3d9740b7d1b2","resolution":{"observed_at":"2026-08-01T04:59:57.449908Z","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":"2026-08-01T04:59:57.519652Z","title":"Gaussian shading: Provable performance-lossless image watermarking for diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.519652Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:e3323a323951b617e8127b48eaa20189c8073c5afd37c6a2cde65b05563c2292","observation_id":"daaa6340-4fbd-4457-8f1c-f95ea7a6ac8d","resolution":{"observed_at":"2026-08-01T04:59:57.519652Z","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":"2026-08-01T04:59:57.584550Z","title":"Deep model intellectual property protection via deep watermarking.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(8):4005–4020, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.584550Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:8d12d39107909590c2d3073484f39ca87051e29cfeb0e50ba27f774e900148aa","observation_id":"fd87ce45-6164-4ceb-9c0d-3c2b78c42837","resolution":{"observed_at":"2026-08-01T04:59:57.584550Z","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":"2026-08-01T04:59:57.650301Z","title":"Robust model watermarking for image processing networks via structure consistency.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(10): 6985–6992, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.650301Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:080b27447d57eb0fccba42605f043ebd7d182f2aaed28fe6f855a87a253b4ce5","observation_id":"f8842b3b-7407-46c6-9c71-b3c570daa03d","resolution":{"observed_at":"2026-08-01T04:59:57.650301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.01285","last_updated":"2019-09-03T16:28:40Z","snapshot_observed_at":"2026-08-04T19:48:41.972949Z","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":"2026-08-01T04:59:57.749282Z","title":"Robust invisible video watermarking with attention.ArXiv, abs/1909.01285, 2019","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.749282Z"},"links":{"cited_paper":"/paper/1909.01285","citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:e847a08bf3f138717000b3a279cde034670c649ee50255cb94cdfcb9e0e44b29","observation_id":"9710ec30-cd7f-4d07-9b33-c4985ee06b78","resolution":{"observed_at":"2026-08-01T04:59:57.749282Z","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":"10.1145/3658664","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Suppressing high-frequency artifacts for generative model watermarking by anti-aliasing","venue":null,"work_id":"1ceb2ede-cfcf-4ca6-b03e-9994eaec20a6","year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.826147Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:26adbf7c8aec0789227a206415925e3f772223a8223234172c082d384896af13","observation_id":"bf60bb28-6af0-48f6-8a75-124e8d91502c","resolution":{"observed_at":"2026-08-01T05:03:34.647923Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-03T20:08:12.577542+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T20:08:12.577542+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-01T04:59:57.909016Z","title":"Invisible image watermarks are prov- ably removable using generative AI","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.909016Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:3e981279d82e70077e083de929dee9e6dd5398edfde4491d9bda3910912c7553","observation_id":"c8ae976c-edfd-418c-8769-35cd84845011","resolution":{"observed_at":"2026-08-01T04:59:57.909016Z","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":"2026-08-01T04:59:57.972519Z","title":"Hidden: Hiding data with deep networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:57.972519Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:cef042c3e6cd721eef48d51cde3638cd5d8052697d4125fde87021b695fa8309","observation_id":"e54e5e37-f0ce-4933-a4a0-7a5a1af1c492","resolution":{"observed_at":"2026-08-01T04:59:57.972519Z","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":"2026-08-01T04:59:53.655756Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-01T04:59:53.655756Z"},"links":{"citing_paper":"/paper/2607.22386"},"observation_digest":"sha256:a540740f191876556f02f03c696e7bea644ba7ba61ce0a4860615a05fcf6f0a9","observation_id":"f24994d0-9138-4e75-ace6-09484dc109a2","resolution":{"observed_at":"2026-08-01T04:59:53.655756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.22386","last_updated":"2026-07-24T15:10:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T06:18:49.137598Z","submitted_at":"2026-07-24T15:10:44Z","title":"Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":34,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":39},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.22386."}