{"as_of":"2026-08-18T18:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a9189902bbcfe947b2d3e3efc8c270a1b539728080fce535f9897201048f72c4","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:42:51.382566Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.00176/citation-record","integrity":"/paper/2412.00176/integrity","json":"/paper/2412.00176/citation-record.json","paper":"/paper/2412.00176"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:42:52.344133Z","title":"Andersen v","venue":null,"work_id":"6d830fcc-3a7a-4e69-80b3-f375b408b817","year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.067311Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:78b050dca76538288008bc21eeb0e218ad44fc52943438f64348487e2f1d19be","observation_id":"d6634394-dfdb-4215-9b3b-a8dc43e2cf8f","resolution":{"observed_at":"2026-08-12T05:42:52.348980Z","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":"2026-08-12T05:42:51.077983Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.077983Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:b2b6dbabca4518d9c36e2ab3470da53d106b830447c109a282e2a4a7361b6105","observation_id":"26c75e44-9d10-4455-a300-e94bfb770fea","resolution":{"observed_at":"2026-08-12T05:42:51.077983Z","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":"2026-08-12T05:42:51.082868Z","title":"Extracting training data from diffu- sion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.082868Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:2a3f88ac85bfbf5e6ee0a569b76fc876c6c737767219a6a973c9295ebe413f8f","observation_id":"9bae733b-e619-4c51-bf6e-b5fa1e2ac992","resolution":{"observed_at":"2026-08-12T05:42:51.082868Z","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":"2026-08-12T05:42:51.087613Z","title":"Towards memorization-free diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.087613Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f4317d9f21f27cade2369beec4d35662f2225561cda9a91709c5a59c27ccd239","observation_id":"6e534d24-4bd6-491e-9d7f-029c630d24cf","resolution":{"observed_at":"2026-08-12T05:42:51.087613Z","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":"2026-08-12T05:42:51.092619Z","title":"Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.092619Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:bf2e2dc644b7b13b594873e9b13de45cb432f48ce8efd37286b791e956ce4a80","observation_id":"dc92b3b9-86f1-4ed9-bfff-53941a1edbcd","resolution":{"observed_at":"2026-08-12T05:42:51.092619Z","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":"2026-08-12T05:42:52.270976Z","title":"Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer","venue":null,"work_id":"f655848d-99aa-4609-92b5-1dc5ece84ce0","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.097420Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:385475f4aa3e686332a5b22580c58a45a8add6eb351530f6c725e426d834c42d","observation_id":"a8b70ef7-151c-4994-b572-bea594cebb22","resolution":{"observed_at":"2026-08-12T05:42:52.276089Z","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":"2026-08-12T05:42:51.101964Z","title":"Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.101964Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:53a0fcd2492a10b5cf6fae311a3b1ffdbf6ffdc7670fbc6393a22cbd84f8a470","observation_id":"e89c08fb-ab31-47f9-94b6-0c2588e04325","resolution":{"observed_at":"2026-08-12T05:42:51.101964Z","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":"2026-08-12T05:42:52.243739Z","title":"Stable diffusion v1.4, 2022","venue":null,"work_id":"b4160e06-da65-49d6-baa0-b76249496889","year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.107345Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:37c878d9c61f0b5c2e3503ccdb09e68609551ee35f978c40e811080468adeab1","observation_id":"f852a342-b93d-4a69-92c2-31f44b483b56","resolution":{"observed_at":"2026-08-12T05:42:52.249069Z","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":"2026-08-12T05:42:52.225701Z","title":"Stable diffusion v1-4 model card, 2022","venue":null,"work_id":"dca8bee7-c1fb-419e-94a7-bc04e03c9e0d","year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.111753Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:54a2e6dfc1f5fdfac4035f6a55404d029a27833f810d3b97e036ad9306bbfeea","observation_id":"0ee5d6e5-09ef-4545-9051-e8fa9c9bb1f3","resolution":{"observed_at":"2026-08-12T05:42:52.230771Z","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":"2306.04642","last_updated":"2024-05-10T01:02:35Z","snapshot_observed_at":"2026-08-16T15:29:46.758300Z","submitted_at":"2023-05-25T11:59:28Z","title":"DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04642","snapshot_observed_at":"2026-08-12T05:42:51.116548Z","title":"Diffusionshield: A wa- termark for copyright protection against generative diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.116548Z"},"links":{"cited_paper":"/paper/2306.04642","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:e577e52ace870c1f68105bcc7c52918e8243a41d3eb9a0ef9f5c4d27db5e6f7c","observation_id":"a4e8a9f1-27ac-45ce-86a3-a3ec7d09d5ac","resolution":{"observed_at":"2026-08-12T05:42:51.116548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.17115","last_updated":"2022-11-30T15:57:56Z","snapshot_observed_at":"2026-08-16T16:12:02.486246Z","submitted_at":"2022-11-30T15:57:56Z","title":"Multiresolution Textual Inversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.17115","snapshot_observed_at":"2026-08-12T05:42:51.121447Z","title":"Multiresolution textual inversion","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.121447Z"},"links":{"cited_paper":"/paper/2211.17115","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f694df4ff7d62b0c03a451030d537ee516737f167eb669480005ebc14cc69230","observation_id":"a4d94af9-0b11-449b-981d-9a1e4ce78fb9","resolution":{"observed_at":"2026-08-12T05:42:51.121447Z","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":"2026-08-12T05:42:52.209095Z","title":"Ambient diffu- sion: Learning clean distributions from corrupted data","venue":null,"work_id":"cfe74317-b39e-4e92-943f-4548f371fa4a","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.126346Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:cc83388637943f0aa118d46663492fa4c1c0ee8bceb9ee6b6a425b3e1a2114ec","observation_id":"d2f33a6f-9e50-4b0f-9e31-9b18148f26bc","resolution":{"observed_at":"2026-08-12T05:42:52.214512Z","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":"2404.10177","last_updated":"2024-07-22T11:31:08Z","snapshot_observed_at":"2026-08-16T16:15:19.805243Z","submitted_at":"2024-03-20T14:22:12Z","title":"Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10177","snapshot_observed_at":"2026-08-12T05:42:51.130711Z","title":"Consistent diffusion meets tweedie: Training ex- act ambient diffusion models with noisy data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.130711Z"},"links":{"cited_paper":"/paper/2404.10177","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:0a1342352c4d73ac8e8290ead33ab4111fd5210a60dd9e212d9eb5b622f79037","observation_id":"57cc0cae-1ecf-44ca-8cad-cf3402a03168","resolution":{"observed_at":"2026-08-12T05:42:51.130711Z","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":"2026-08-12T05:42:52.193970Z","title":"Bert: Pre-training of deep bidirectional trans- formers for language understanding, 2019","venue":null,"work_id":"4e70ae65-f15d-455e-8750-36d4ac6244d1","year":2019},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.135348Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:ba6381d437af554384622d6257eb6c4f0dd3a6af94d1bbfb4df08c3b10449221","observation_id":"fc86bead-2f7f-4036-a21d-36a5cc4ee771","resolution":{"observed_at":"2026-08-12T05:42:52.198844Z","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":"2026-08-12T05:42:52.178143Z","title":"Image quilting for texture synthesis and transfer","venue":null,"work_id":"b6ee4b47-ba48-4fb9-88c2-d9cc09b96083","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.139707Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:7a0a05f68f0d5841e66b4f32d1906260729cdae0035bf1a982639c8d531b8f98","observation_id":"82f02949-8f31-4ff2-8aaa-a68e50d8fbd5","resolution":{"observed_at":"2026-08-12T05:42:52.183154Z","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":"2026-08-12T05:42:52.161851Z","title":"Art and the science of generative ai","venue":null,"work_id":"3b20cf06-52b5-4478-9600-4e0acfb5f774","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.144225Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:9c08ff824be65787e2eccbc3c923f3f385534d309728da6d9671c58d81deec1e","observation_id":"a87d3d83-3bfa-4e08-b73f-b73dce729d42","resolution":{"observed_at":"2026-08-12T05:42:52.166819Z","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":"2026-08-12T05:42:51.148598Z","title":"Bermano, Gal Chechik, and Daniel Cohen-Or","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.148598Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:8493e76e4fd2febdf91e3977cfb42bb966716f2e486b7adde1db4b1542952086","observation_id":"61b7eace-3b6c-4301-a8f0-d7ec89ae7c0f","resolution":{"observed_at":"2026-08-12T05:42:51.148598Z","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":"2026-08-12T05:42:52.135192Z","title":"Erasing concepts from diffusion models, 2023","venue":null,"work_id":"6c73a5b2-1282-4b31-b882-7594efde4cf2","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.153275Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:9e275e24091a196f828c15f5ce21e83f7dccba2d0ebbc89ccde53ed5edeb3456","observation_id":"195262a4-cca5-45b9-8999-8a12b9b5fe66","resolution":{"observed_at":"2026-08-12T05:42:52.140381Z","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":"2308.14761","last_updated":"2024-10-22T22:46:15Z","snapshot_observed_at":"2026-08-16T15:05:43.757767Z","submitted_at":"2023-08-25T17:59:59Z","title":"Unified Concept Editing in Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.14761","snapshot_observed_at":"2026-08-12T05:42:51.157832Z","title":"Unified concept editing in dif- fusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.157832Z"},"links":{"cited_paper":"/paper/2308.14761","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:2d98f6d6668bbb134cc8aecaa127b2e81e69c2880edb70c0b74d5ab87292f7e5","observation_id":"b056723d-8e6d-4e21-8fcb-1b575b3f78a4","resolution":{"observed_at":"2026-08-12T05:42:51.157832Z","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":"2026-08-12T05:42:52.119043Z","title":"Com- moncanvas: Open diffusion models trained on creative- commons images","venue":null,"work_id":"0b326f0e-dd27-4003-b6b7-ff214381660a","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.162783Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:85f4ec3445239568556d498defa49ff87ee26be2d6ae15158149f797c23cf1f6","observation_id":"4887267c-4d01-4c51-a6f4-c0eeeb2b2b13","resolution":{"observed_at":"2026-08-12T05:42:52.124149Z","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":"2026-08-12T05:42:52.104302Z","title":"Getty images v","venue":null,"work_id":"08ef5066-f507-4949-8e86-d531264e74fb","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.167418Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:3634547661773ef71c621f06d1ed8fa8c9bb6f186087bb501090482760f0a04e","observation_id":"d87e7fb8-3e44-4a28-a7e1-4c60e5692949","resolution":{"observed_at":"2026-08-12T05:42:52.108984Z","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":"2026-08-12T05:42:52.088432Z","title":"This artist is dominating ai-generated art","venue":null,"work_id":"73ccb80f-3575-4db9-bbb9-dca3a7f0ca05","year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.171864Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:60103ffc89d06befb18eb6b1d17ef8b777379f194009334db8491c811392fc7e","observation_id":"02841b08-5f7f-4a0e-8f9c-096291c224ba","resolution":{"observed_at":"2026-08-12T05:42:52.093807Z","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":"2026-08-12T05:42:52.073630Z","title":"Selective amnesia: A continual learning approach to forgetting in deep generative models,","venue":null,"work_id":"831476a9-596e-4f41-805a-4ea004d5a2cb","year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.177114Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:d56499323c5d7196ee3e23d087df85a1474b5726845c310d19aa155c9754e3a8","observation_id":"4ea38406-5df4-49db-9a05-23bf4d70709e","resolution":{"observed_at":"2026-08-12T05:42:52.078588Z","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":"2026-08-12T05:42:51.181835Z","title":"Style aligned image generation via shared atten- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.181835Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:87f181d62a6d2d5ebc419e05a2ec1e363a0fa804b0ae48bcb37a11966b576a44","observation_id":"b0fa0c22-f500-493b-96a0-f2873a75efb4","resolution":{"observed_at":"2026-08-12T05:42:51.181835Z","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":"2026-08-12T05:42:52.048334Z","title":"The choices hidden in photography","venue":null,"work_id":"18034ea2-e00c-4ef4-846a-4d67307d80a6","year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.186639Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f1f48d169d159821af877edf1d5d1068001290549457e43e8eadc092aa827817","observation_id":"77497c3d-a158-429f-9362-55ab904bc88f","resolution":{"observed_at":"2026-08-12T05:42:52.053021Z","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":"2026-08-12T05:42:52.033213Z","title":"Image analogies","venue":null,"work_id":"63ee8c98-819a-458f-a998-1ca41a30c451","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.191397Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:c52379fa6b5459c605feacf9501b22d82bcc43356a96c69c31b1f9b0e9814a82","observation_id":"62b73bd5-e4d5-47cd-9fd4-5982f282112f","resolution":{"observed_at":"2026-08-12T05:42:52.038124Z","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":"2026-08-12T05:42:51.195952Z","title":"Classifier-free diffusion guidance, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.195952Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:344753578ca1b92b9998b26f2b4518dc532cee3edd508b88fcf8ada8b0ff42e3","observation_id":"3bd73c28-54f0-46e1-9c44-0bb0668a5c51","resolution":{"observed_at":"2026-08-12T05:42:51.195952Z","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":"2026-08-12T05:42:51.200361Z","title":"Denoising diffu- sion probabilistic models, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.200361Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:e12f33cbf01a0931fe7ff8d6f335025d503df2f8ae33892610481f2914827cb4","observation_id":"fb7fe448-abcf-48b3-8e61-00cb4a13cd04","resolution":{"observed_at":"2026-08-12T05:42:51.200361Z","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":"2026-08-12T05:42:51.204913Z","title":"All but one: Surgical concept erasing with model preservation in text-to- image diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.204913Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f5d90f3fcced0fb97dee764238f744e361f94bc9590211cae515969c66f72978","observation_id":"81e3ac44-89f4-4085-8ad1-9e4deb4a8207","resolution":{"observed_at":"2026-08-12T05:42:51.204913Z","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":"2026-08-12T05:42:51.986737Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"738490ab-984d-4cf9-97a7-d0cb3b70a035","year":2021},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.209327Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:cbd5de4cdfcbfd0821f60822e7219efd3ea5bf2f3452a959f808edae165811c4","observation_id":"1181ac41-5f2f-49f4-b86b-cea5d3b822d9","resolution":{"observed_at":"2026-08-12T05:42:51.992684Z","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":"2402.12974","last_updated":"2024-02-21T14:04:30Z","snapshot_observed_at":"2026-08-16T14:16:58.486297Z","submitted_at":"2024-02-20T12:51:17Z","title":"Visual Style Prompting with Swapping Self-Attention","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12974","snapshot_observed_at":"2026-08-12T05:42:51.213973Z","title":"Visual style prompting with swapping self- attention","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.213973Z"},"links":{"cited_paper":"/paper/2402.12974","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:3e415ee2d4cf764ce8181630c7ee8278305ebd25c09090d4ff11b1c19b148101","observation_id":"e2ae0643-01d3-49d1-a47a-a6ca4f2f23d9","resolution":{"observed_at":"2026-08-12T05:42:51.213973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07025","last_updated":"2024-09-11T05:42:01Z","snapshot_observed_at":"2026-08-16T13:19:33.572179Z","submitted_at":"2024-09-11T05:42:01Z","title":"CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07025","snapshot_observed_at":"2026-08-12T05:42:51.221674Z","title":"Cpsample: Classifier protected sampling for guarding training data during diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.221674Z"},"links":{"cited_paper":"/paper/2409.07025","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f534b13ea27bcd5056c5cdee3b14525805060b43b42b10a2547a3286898009c5","observation_id":"cb9545d6-da07-451d-ad4f-7c18ba477106","resolution":{"observed_at":"2026-08-12T05:42:51.221674Z","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":"2026-08-12T05:42:51.227520Z","title":"Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.227520Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:aee79cfc3f3e0ec3c3e28e1bb971ce5784b3d08fc1608bb00e3c11a44b92cb94","observation_id":"b417897f-836a-42a6-9591-65d54f12492d","resolution":{"observed_at":"2026-08-12T05:42:51.227520Z","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":"2026-08-12T05:42:51.961737Z","title":"Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick","venue":null,"work_id":"25e518c9-187f-4047-b26a-b5fd3c56fd96","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.233276Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:db478d7ebb73af4515b2eb714d3c6193d632f78faa637070ba40533ce2731078","observation_id":"21c7d56e-6aec-4eee-accb-59ccdd8eb57c","resolution":{"observed_at":"2026-08-12T05:42:51.966746Z","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":"2026-08-12T05:42:51.238537Z","title":"Ablating con- cepts in text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.238537Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:b01be1973a4a4a895564639b4faf050a18f1636673c67a7cca0215e53bd274e8","observation_id":"632b4a57-0f12-4e12-abc3-c635690db07b","resolution":{"observed_at":"2026-08-12T05:42:51.238537Z","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":"2026-08-12T05:42:51.935196Z","title":"Multi-concept customization of text-to-image diffusion, 2023","venue":null,"work_id":"50f85419-d3d5-455c-ac75-4b2a0c29e0bc","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.243542Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:c44d1c4bded19babce575b0638e00cb0c9c5a0f14d9c1cce5eb9f78192c29cc5","observation_id":"3ee33a00-181c-4014-982e-7904c743857d","resolution":{"observed_at":"2026-08-12T05:42:51.940221Z","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":"2026-08-12T05:42:51.249037Z","title":"Mace: Mass concept erasure in diffu- sion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.249037Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f920927c21ee86a3f411b9f44bddaa125b012015d0d05317d28cf616e459ad84","observation_id":"68304018-c8dd-4e2f-9b98-513a2f46e9af","resolution":{"observed_at":"2026-08-12T05:42:51.249037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06737","last_updated":"2024-06-04T00:35:06Z","snapshot_observed_at":"2026-08-18T06:55:26.569719Z","submitted_at":"2024-04-10T04:55:57Z","title":"Disguised Copyright Infringement of Latent Diffusion Models","version":4},"cited_work":{"arxiv_id":"2404.06737","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.06737","snapshot_observed_at":"2026-08-12T05:42:51.543587Z","title":"Disguised Copyright Infringement of Latent Diffusion Models","venue":"cs.LG","work_id":"3eddd040-bc6c-4a41-ba02-c4373b5c8955","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.253876Z"},"links":{"cited_paper":"/paper/2404.06737","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:50c60590547058f1010b0e44cf473c38c5f0f55ec10b44d140847d1f8db375aa","observation_id":"a422d119-9ec7-4b11-92f6-de8a9b55f1bb","resolution":{"observed_at":"2026-08-12T05:42:51.550622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:42:51.909437Z","title":"One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications","venue":null,"work_id":"80557f35-55d8-460b-b5be-e0ad7ac30db1","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.258743Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:90c4863206ef762baccea996c7d6418747cf6ca30b79e5105ce5084d6a946636","observation_id":"2f48ea37-ef27-425a-a044-513bb23d2614","resolution":{"observed_at":"2026-08-12T05:42:51.914698Z","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":"2403.10893","last_updated":"2024-07-16T07:40:37Z","snapshot_observed_at":"2026-08-16T16:33:18.783681Z","submitted_at":"2024-03-16T11:08:15Z","title":"A Watermark-Conditioned Diffusion Model for IP Protection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10893","snapshot_observed_at":"2026-08-12T05:42:51.263455Z","title":"A watermark-conditioned diffusion model for ip protection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.263455Z"},"links":{"cited_paper":"/paper/2403.10893","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:d910af84fa8d673947af2d28984456e71c145f3d44372d65d5f34861d2917e24","observation_id":"6fa0b559-3087-459b-8243-7e1998b972ee","resolution":{"observed_at":"2026-08-12T05:42:51.263455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21035","last_updated":"2025-01-16T08:08:57Z","snapshot_observed_at":"2026-08-16T13:33:30.900772Z","submitted_at":"2024-07-17T08:19:11Z","title":"Direct Unlearning Optimization for Robust and Safe Text-to-Image Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21035","snapshot_observed_at":"2026-08-12T05:42:51.269671Z","title":"Direct unlearning optimization for robust and safe text- to-image models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.269671Z"},"links":{"cited_paper":"/paper/2407.21035","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:ed4523058663d12e84f6c6a92863faf9217d6fbbc64e61b83a99c4699ba37f42","observation_id":"7b12da98-b4e9-4199-95fa-66f9232ada69","resolution":{"observed_at":"2026-08-12T05:42:51.269671Z","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":"2026-08-12T05:42:51.276497Z","title":"Styleclip: Text-driven manipulation of stylegan imagery","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.276497Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:16a84ec4d231f61c9c35aee71d5557d162ef88e2d11d45a2f18ae428e94a2bd1","observation_id":"9ea4b071-a2f7-45a3-b823-3a9874e7f5c1","resolution":{"observed_at":"2026-08-12T05:42:51.276497Z","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":"2026-08-12T05:42:51.883435Z","title":"Circumventing concept erasure meth- ods for text-to-image generative models","venue":null,"work_id":"b08ed7a9-a67c-419c-9fad-a1ba5f160ba4","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.282368Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:7f5620b2210f5175738f4091f48ba10f9be911899e79b3badaf7aa5b0fa18b47","observation_id":"ca4d6bbe-9c30-4896-9d8b-76544b9c4be5","resolution":{"observed_at":"2026-08-12T05:42:51.888742Z","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":"2404.03631","last_updated":"2025-02-19T21:38:33Z","snapshot_observed_at":"2026-08-16T14:03:32.928923Z","submitted_at":"2024-04-04T17:52:13Z","title":"Robust Concept Erasure Using Task Vectors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03631","snapshot_observed_at":"2026-08-12T05:42:51.287251Z","title":"Robust concept erasure using task vectors","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.287251Z"},"links":{"cited_paper":"/paper/2404.03631","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:937cd9f5e19ba99d09adf6b3bc51cb260e04576e1a4bdca67e261685c7aa471b","observation_id":"e13c7b49-2de3-41d2-ae18-d66f6e601b0c","resolution":{"observed_at":"2026-08-12T05:42:51.287251Z","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":"2026-08-12T05:42:51.867922Z","title":"Dead- iff: An efficient stylization diffusion model with disentan- gled representations","venue":null,"work_id":"d06cb465-cc4c-4e80-8fac-d3c560e65b80","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.292184Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:1fa027775f370fd434f244b9051288635276eb4fb47a26bcb5e93ffc6f97d953","observation_id":"903b8e9c-c827-4299-b705-b8fe56c5fffb","resolution":{"observed_at":"2026-08-12T05:42:51.873043Z","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":"2026-08-12T05:42:51.296918Z","title":"Learning transferable visual models from natural language supervision, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.296918Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:a3e33e18033d5b7f43af82a353ca34ab7ee7dcd0bd156526215e9441d5c4adb8","observation_id":"d5484be0-0a11-455b-a10b-84ebe2ca63be","resolution":{"observed_at":"2026-08-12T05:42:51.296918Z","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":"2026-08-12T05:42:51.836652Z","title":"High-resolution image syn- thesis with latent diffusion models, 2022","venue":null,"work_id":"cdb01b8a-f1f4-4d80-afd1-0910222836d5","year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.301825Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:abc287c0152ea7579d3666701868da32dcc1330dc54d1766b4a108b005eaebf0","observation_id":"6cffc747-d82b-4067-ad77-204d1e96af4c","resolution":{"observed_at":"2026-08-12T05:42:51.841798Z","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":"2026-08-12T05:42:51.819785Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, 2023","venue":null,"work_id":"5cab9b86-20fa-4778-9f1f-cf5a3bf7f89e","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.306476Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:661bc351e7a45870e2cfd9b088a5994e587dde591ad4a6738cf47f66856056d2","observation_id":"ad56c872-8137-4733-9d5b-a97b25ed383f","resolution":{"observed_at":"2026-08-12T05:42:51.825294Z","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":"2026-08-12T05:42:51.800569Z","title":"Laion pop: 600,000 high-resolution images with detailed descriptions, 2023","venue":null,"work_id":"caa48362-e69a-47c3-8e35-a007930549c0","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.311361Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:c08f610a55690e3096c9597c17e5aae6ccf334b6d7b218418a50a0133bcefd47","observation_id":"ef6e6747-5d87-48ba-9906-76a039936c49","resolution":{"observed_at":"2026-08-12T05:42:51.805784Z","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":"2026-08-12T05:42:51.316159Z","title":"Laion-5b: An open large-scale dataset for training next generation image-text models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.316159Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:1d4b85224227217199303e29768d01a05260be55905d22dad2410f9536718146","observation_id":"5e00dce1-4039-47e8-ad15-0d1049fdeaf0","resolution":{"observed_at":"2026-08-12T05:42:51.316159Z","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":"2026-08-12T05:42:51.768215Z","title":"This artist is dominating ai-generated art","venue":null,"work_id":"a6e54a91-cca1-47d6-9c78-ed387e8f6668","year":2022},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.320392Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:ca8ea1309f2a4d7975a62f0bd5d286bf436c8519f3ead0f41267e34bf2b9bc15","observation_id":"a839d3e1-cfb6-46de-b856-d07dbadf6f49","resolution":{"observed_at":"2026-08-12T05:42:51.773709Z","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":"2306.00983","last_updated":"2023-06-01T17:59:51Z","snapshot_observed_at":"2026-08-16T15:27:22.560184Z","submitted_at":"2023-06-01T17:59:51Z","title":"StyleDrop: Text-to-Image Generation in Any Style","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00983","snapshot_observed_at":"2026-08-12T05:42:51.324860Z","title":"Styledrop: Text-to-image generation in any style","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.324860Z"},"links":{"cited_paper":"/paper/2306.00983","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:b291a8bc6a0d338de8cae76e378fb2cc038450d02d82864314f2d6ed3e08bcb7","observation_id":"a349d712-0447-40fe-b016-5c87bf4744e4","resolution":{"observed_at":"2026-08-12T05:42:51.324860Z","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":"2026-08-12T05:42:51.751808Z","title":"Diffusion art or digital forgery? investigating data replication in diffusion models","venue":null,"work_id":"daf398df-54a5-4420-8526-9243b0e3d651","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.329689Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:2c53a31e04ed81e2bf5b5432f256c690043a6c56d73f61b9251439d55eb84b3e","observation_id":"ce912c74-86f5-4d87-b62d-f08781c235a9","resolution":{"observed_at":"2026-08-12T05:42:51.756812Z","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":"2404.01292","last_updated":"2024-04-01T17:58:30Z","snapshot_observed_at":"2026-08-16T14:04:34.113791Z","submitted_at":"2024-04-01T17:58:30Z","title":"Measuring Style Similarity in Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01292","snapshot_observed_at":"2026-08-12T05:42:51.334585Z","title":"Measuring style similarity in diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.334585Z"},"links":{"cited_paper":"/paper/2404.01292","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:2d61537286c29d192e65724a465b7003c4a576e9936b5007b7ce649410a7631e","observation_id":"30b48646-463c-48b6-b0a4-e0cd65ca41ea","resolution":{"observed_at":"2026-08-12T05:42:51.334585Z","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":"2026-08-12T05:42:51.736309Z","title":"Spawning ai, 2023","venue":null,"work_id":"3e025d87-ce5b-4005-b43b-77b46d78506d","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.339263Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:cbaf1ba42b870b7081182f7c9f1b3ad84c28815a14b97a78f7e27b0514f51dc4","observation_id":"43139354-3d93-4618-9fd7-0cfd807b8c6b","resolution":{"observed_at":"2026-08-12T05:42:51.741418Z","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":"2026-08-12T05:42:51.720707Z","title":"Plug-and-play diffusion features for text-driven image-to-image translation","venue":null,"work_id":"56262e44-4967-4069-9a8f-95990592c840","year":1921},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.343913Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:226f75727b5c0c20b2ef449e4a15f12dd34de28abde38eac2fa0c33352fa48c0","observation_id":"66dfb17a-5c33-4ff3-ae47-30d2eb96e7ea","resolution":{"observed_at":"2026-08-12T05:42:51.725632Z","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":"2404.02733","last_updated":"2024-04-04T19:42:32Z","snapshot_observed_at":"2026-08-16T14:03:57.454330Z","submitted_at":"2024-04-03T13:34:09Z","title":"InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.02733","snapshot_observed_at":"2026-08-12T05:42:51.348568Z","title":"Instantstyle: Free lunch towards style-preserving in text-to-image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.348568Z"},"links":{"cited_paper":"/paper/2404.02733","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:f62cef3ec7cd6c5295d033dfa03f714e62f68509cbcd89764a3fd771af18fed8","observation_id":"169cd590-1971-4234-ac16-eed20f11987a","resolution":{"observed_at":"2026-08-12T05:42:51.348568Z","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":"2026-08-12T05:42:51.704921Z","title":"Evaluating data attribution for text-to-image models","venue":null,"work_id":"a5112e72-8c13-4cb0-9f21-dc157292c446","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.353631Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:d3fcb3f9fce4313255cad34b0491761b4dab7e687831753f52c0c0a7708bd3f9","observation_id":"fbd417d0-928c-4c9f-bcb3-b586a7f54fd2","resolution":{"observed_at":"2026-08-12T05:42:51.709826Z","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":"2026-08-12T05:42:51.689218Z","title":"A computational approach to studying aesthetic judgments of ambiguous artworks","venue":null,"work_id":"525d0f62-75f3-4ec3-aad6-e5fe733f9868","year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.358322Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:30009aa5fc5bd74a53930e05084916aff811d0346b65e5eb59983aeba0fca10c","observation_id":"bb6eea78-427a-4c9b-bc63-04809bd2859f","resolution":{"observed_at":"2026-08-12T05:42:51.694339Z","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":"2026-08-12T05:42:51.363329Z","title":"De- tecting, explaining, and mitigating memorization in diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.363329Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:a1dbb37361efb5e07f38e0a1f5f83531f6c023218d732be3a5f238574a0419eb","observation_id":"bd78a1a8-779a-4b40-857e-760f05b228f8","resolution":{"observed_at":"2026-08-12T05:42:51.363329Z","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":"2026-08-12T05:42:51.664355Z","title":"Artists land a win in class action law- suit against a.i","venue":null,"work_id":"594a2d11-289e-406e-b1e9-646b90011125","year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.367851Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:bf3bf35823ab50ad798ae097b57788d43e0c93f48226e8b874b2c70cbc0f0690","observation_id":"97c8fd7a-ee70-4c02-bd1a-bbef16fd7e86","resolution":{"observed_at":"2026-08-12T05:42:51.669190Z","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":"2405.15234","last_updated":"2024-10-09T16:12:40Z","snapshot_observed_at":"2026-08-16T13:49:54.583031Z","submitted_at":"2024-05-24T05:47:23Z","title":"Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.15234","snapshot_observed_at":"2026-08-12T05:42:51.372464Z","title":"Defensive unlearning with adversarial training for robust concept erasure in diffusion models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.372464Z"},"links":{"cited_paper":"/paper/2405.15234","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:7a8c30c700c9a7d70781f03221ac5a38c3312c9feaae67c9039afd11e39df5b6","observation_id":"2b136d6b-cc8f-41d8-b584-e1b441ba1f35","resolution":{"observed_at":"2026-08-12T05:42:51.372464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10137","last_updated":"2023-10-15T10:04:38Z","snapshot_observed_at":"2026-08-16T15:47:20.215444Z","submitted_at":"2023-03-17T17:25:10Z","title":"A Recipe for Watermarking Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10137","snapshot_observed_at":"2026-08-12T05:42:51.377495Z","title":"A recipe for watermarking dif- fusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.377495Z"},"links":{"cited_paper":"/paper/2303.10137","citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:680197f229127c931a22cb616d6e7145d8a96a762984a453817b4778ed523ba8","observation_id":"85bd1c17-8a4e-4c56-8bfa-b95f767f0295","resolution":{"observed_at":"2026-08-12T05:42:51.377495Z","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":"2026-08-12T05:42:51.648914Z","title":"painting","venue":null,"work_id":"c9e0bba4-9a1c-40fe-8121-c8232ac2bf50","year":2017},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.382566Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:031422fcf002781cedb7692559f3e76eb8c00830deda3821719a6a640c800485","observation_id":"213877f5-392e-43c5-8db4-64b25e5f4df8","resolution":{"observed_at":"2026-08-12T05:42:51.653770Z","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":"2026-08-12T05:42:52.327594Z","title":null,"venue":null,"work_id":"219b99e7-0474-46cf-b543-0b44983a4bce","year":2025},"citing_paper":{"arxiv_id":"2412.00176","last_updated":"2025-05-20T19:07:27Z","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T05:42:51.072778Z"},"links":{"citing_paper":"/paper/2412.00176"},"observation_digest":"sha256:9a5d8d305c68bdb224163c69a975e2ddabb1358848b51c9909458adb3a86c45b","observation_id":"d43a9376-752a-409e-a3f1-55cef11d7b4f","resolution":{"observed_at":"2026-08-12T05:42:52.332823Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"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":"2412.00176","last_updated":"2025-05-20T19:07:27Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T12:20:56.592066Z","submitted_at":"2024-11-29T18:59:01Z","title":"Opt-In Art: Learning Art Styles Only from Few Examples"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":31,"verified_exact":1,"verified_fuzzy":32},"total_outbound_references":65},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2412.00176."}