{"as_of":"2026-08-14T11:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd9ab34a5eca4d8926ea6f3e4caf9840e036f90250b75e2fb262e110026f3bee","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:15:26.709098Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2412.02693/citation-record","integrity":"/paper/2412.02693/integrity","json":"/paper/2412.02693/citation-record.json","paper":"/paper/2412.02693"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:15:27.678825Z","title":"https://stability.ai/news/deepfloyd-if-text-to-image- model","venue":null,"work_id":"9c0e7829-e236-477c-af8c-9fae64f54383","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.439486Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:4d3227ff39c29e4b634e31dd838228a9f75b90401cc9953cfcfee5653fb9090d","observation_id":"a113637b-020a-427c-8b8a-be7145affc46","resolution":{"observed_at":"2026-08-11T23:15:27.682960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.664924Z","title":null,"venue":null,"work_id":"97871824-1628-438f-8d0b-fd92e6350611","year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.444434Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:9f7284ac4460c847af684562c143cf5e71783a091fe9905ad9c2e20d896ac753","observation_id":"4c11cf27-ee49-4cc7-8944-c6c8bb1538b8","resolution":{"observed_at":"2026-08-11T23:15:27.669198Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.650401Z","title":"Separate-and-enhance: Compo- sitional finetuning for text2image diffusion models, 2024","venue":null,"work_id":"0fa383be-ee25-4778-a2ed-696838042d46","year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.449437Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:225471953c12b4180e615f0f9c164a7aa03a3c51ca9544b5ad1b65852f902239","observation_id":"0165413b-5f81-4bb9-9e98-502ac6d559ca","resolution":{"observed_at":"2026-08-11T23:15:27.655035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.638174Z","title":"A new ambiguous figure","venue":null,"work_id":"ccce255e-cfb1-4cc7-af0a-80999110791f","year":1930},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.453843Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:4fb362be66b634852242f0a67801bc72896df699040a33c6b047507303e9862d","observation_id":"9e4553ab-4579-445b-b6d9-8fd4924637de","resolution":{"observed_at":"2026-08-11T23:15:27.641971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.624033Z","title":"Diffusion Illusions: Hiding Images in Plain Sight","venue":null,"work_id":"67e30387-b434-47a4-8e40-b05542d9ef6e","year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.458135Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:c822bbebc4970b1dcf4764dece4f1fc8a82625b50e41e606e951348f02f8b014","observation_id":"3bb7450f-a400-4203-94cc-c6d11b5309a4","resolution":{"observed_at":"2026-08-11T23:15:27.628781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.595940Z","title":"Designing perceptual puzzles by differentiating probabilistic programs","venue":null,"work_id":"d94583ed-28c8-4173-8c9d-c58bfecd29a0","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.466473Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:abcc69ee05a1e628f4ac008fc253da8aa5884df507e3d67e2a9af6a6ee066759","observation_id":"f64de237-1a21-4f91-83a0-76287e1ece26","resolution":{"observed_at":"2026-08-11T23:15:27.600912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:26.470663Z","title":"Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.470663Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:82d70d83624a9236316ca6bbbbafa78402d6cccd80c7d4f0966de462ff675ea9","observation_id":"22a6355b-7a0a-4c13-b31e-2d7130f944af","resolution":{"observed_at":"2026-08-11T23:15:26.470663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12028","last_updated":"2024-03-18T17:57:30Z","snapshot_observed_at":"2026-08-13T00:51:01.176395Z","submitted_at":"2024-03-18T17:57:30Z","title":"Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12028","snapshot_observed_at":"2026-08-11T23:15:26.475187Z","title":"Ultraman: Single image 3d human reconstruction with ultra speed and detail","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.475187Z"},"links":{"cited_paper":"/paper/2403.12028","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:cbf5818538d10e06d2fd05cb0acab6b5941b30fc0d4ed4efbfceb6d49141bc38","observation_id":"ef6b5c40-970d-4e74-a2a8-5d4d132098f4","resolution":{"observed_at":"2026-08-11T23:15:26.475187Z","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":"2026-08-11T23:15:27.574340Z","title":"Cerberus transformer: Joint semantic, affor- dance and attribute parsing","venue":null,"work_id":"86794af9-b80f-4068-b1ef-8d15d2e4a6d6","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.479225Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:ce118ff4f9557819aa70ef6346a7dbc904b9dae936d050d078fd2191ebad41cf","observation_id":"71b5b91b-eec0-4ae5-953c-4ad99f0c557b","resolution":{"observed_at":"2026-08-11T23:15:27.578736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.561017Z","title":"Pq-transformer: Jointly parsing 3d objects and layouts from point clouds","venue":null,"work_id":"fa35af86-e4f9-429c-b090-ade3bead376f","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.483359Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:12eb80697b8f9cedb2936bbc413ceb53b7e3076bb5d0284fa246ef92c2ef1bd2","observation_id":"12ac20bf-cc26-4b84-a4ee-e173bf86efb3","resolution":{"observed_at":"2026-08-11T23:15:27.565182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.548020Z","title":"Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks, 2018","venue":null,"work_id":"3a08867c-4c84-417d-a9fb-cb3c574f9035","year":2018},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.487265Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:cab124bdd990032f5db45811f3e963f4dca816ad885849a41e6eb7f610059137","observation_id":"29da9681-276d-46ae-a547-4ef7d2850cce","resolution":{"observed_at":"2026-08-11T23:15:27.552524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.06808","last_updated":"2020-10-14T04:42:18Z","snapshot_observed_at":"2026-08-14T02:40:11.851341Z","submitted_at":"2020-10-14T04:42:18Z","title":"Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout","version":1},"cited_work":{"arxiv_id":"2010.06808","doi":null,"metadata_source":"pith","pith_arxiv_id":"2010.06808","snapshot_observed_at":"2026-08-11T23:15:26.993677Z","title":"Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout","venue":"cs.LG","work_id":"df0c3354-0a7f-4566-9e4f-017a549fdcb3","year":2020},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.491106Z"},"links":{"cited_paper":"/paper/2010.06808","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:7e9f25076b38ebbd81647cb4c9fec6cc7e231417c4c5cdb83ce93e447592415b","observation_id":"033212bd-e7d7-4c27-8b01-cf9926b24d0a","resolution":{"observed_at":"2026-08-11T23:15:27.000162Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.535337Z","title":"Mitra, Daniel Cohen- Or, Tien-Tsin Wong, and Tong-Yee Lee","venue":null,"work_id":"9d9c662a-bde0-46cc-9801-65d92757241a","year":2010},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.495190Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:95d39667023d96a6042a1e7a3aba14b1a8ce36a5b4f6b3882302e3c6a66812fd","observation_id":"eeae7aac-9fc0-4960-a2e6-f6553bfeb413","resolution":{"observed_at":"2026-08-11T23:15:27.539057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.05233","last_updated":"2021-06-01T17:49:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-05-11T17:50:24Z","title":"Diffusion Models Beat GANs on Image Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.05233","snapshot_observed_at":"2026-08-11T23:15:26.498557Z","title":"Diffu- sion models beat gans on image synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.498557Z"},"links":{"cited_paper":"/paper/2105.05233","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:54aa0f71aabd5905ceab152985d70938acd964296e0261f0369414bb69e6b00c","observation_id":"75eeec83-a063-467c-a41f-4339e5a998cd","resolution":{"observed_at":"2026-08-11T23:15:26.498557Z","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":"2026-08-11T23:15:27.523551Z","title":"Arcimboldo","venue":null,"work_id":"2b055820-0ba8-43e4-9ce1-9ccbcb3907ca","year":2017},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.502187Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:215d0b2930a784c71acf65307f8cd0c804ba50fb82667a9cc01ce3bcb4929caf","observation_id":"fe8a1ab3-ce34-469f-92c6-305c7731fd11","resolution":{"observed_at":"2026-08-11T23:15:27.527235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.511385Z","title":"Freeman, Edward H","venue":null,"work_id":"ce7ba13f-4250-4b96-a16c-8f3c539b1613","year":1991},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.505609Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:72b7f3248c907fe9d736eea82e811546d2e1325e28bf3dee47f628f281b2a36b","observation_id":"660b297d-7fe3-4749-b6c9-47132cf4acb9","resolution":{"observed_at":"2026-08-11T23:15:27.515377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:26.509877Z","title":"Scp-diff: Photo-realistic semantic image synthesis with spatial-categorical joint prior","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.509877Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:05f3cf054105c66e47c2b9d8984b584aa4e729dfcc7361e30ac08059ce7324fd","observation_id":"95a10a3d-0a24-4bd7-92f6-a1cf2c626000","resolution":{"observed_at":"2026-08-11T23:15:26.509877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17919","last_updated":"2024-04-02T21:34:29Z","snapshot_observed_at":"2026-08-13T05:14:09.758959Z","submitted_at":"2023-11-29T18:59:59Z","title":"Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17919","snapshot_observed_at":"2026-08-11T23:15:26.513701Z","title":"Visual ana- grams: Generating multi-view optical illusions with diffu- sion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.513701Z"},"links":{"cited_paper":"/paper/2311.17919","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:55b0c7d0aa8e6d91a0f42dcae13efe843b0e19ec8011e5753a1be20bc3a43459","observation_id":"5ca04c48-77a2-4244-801c-b5d6d83f4724","resolution":{"observed_at":"2026-08-11T23:15:26.513701Z","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":"2026-08-11T23:15:27.498068Z","title":"Visual ana- grams: Generating multi-view optical illusions with diffu- sion models","venue":null,"work_id":"032a4861-642e-478c-b9d7-5eee11ae1437","year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.517583Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:6b476d967febe67704bfbbeeb88665d449f594909a6d769cc1ccaacee0cf7306","observation_id":"8460f8d8-4bfd-49e8-bead-5e51695a123e","resolution":{"observed_at":"2026-08-11T23:15:27.502778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.484713Z","title":"Convolutional neural networks can be deceived by visual illusions","venue":null,"work_id":"245b89f8-b80c-41de-a34e-78ef28e7f427","year":2019},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.521454Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:d9c3c5c8b0079577f890ae8685d6f5df3ab7951242823b0bac4383b0e41ab8f2","observation_id":"bb8e43cf-d49f-46be-9212-24c3b53d8cb2","resolution":{"observed_at":"2026-08-11T23:15:27.489174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.470272Z","title":"Diffusion models as plug-and-play priors,","venue":null,"work_id":"cc5ffbf1-66e0-401d-a6ac-c55c752205bf","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.524737Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:e1515a7844d9087bf4368f2220f3feb701dabac9f4780690c0c68232800dff66","observation_id":"13ae0bbb-3d6f-427c-8be2-c43fac4d74f6","resolution":{"observed_at":"2026-08-11T23:15:27.475416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.12319","last_updated":"2020-02-27T18:40:10Z","snapshot_observed_at":"2026-08-14T02:39:14.587872Z","submitted_at":"2020-02-27T18:40:10Z","title":"Semantically-Guided Representation Learning for Self-Supervised Monocular Depth","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.12319","snapshot_observed_at":"2026-08-11T23:15:26.528920Z","title":"Semantically-guided represen- tation learning for self-supervised monocular depth","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.528920Z"},"links":{"cited_paper":"/paper/2002.12319","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:fec3913ce50d641db71ac1d5ef69bcbb494a809384adadfdfca3b69326eaf880","observation_id":"8abaf0ae-79c1-43fa-948e-8e447f49ad9d","resolution":{"observed_at":"2026-08-11T23:15:26.528920Z","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":"2026-08-11T23:15:27.455986Z","title":"Dynamic task prioritization for multitask learning","venue":null,"work_id":"46401de9-e4ae-497c-a41e-c86550d8fd89","year":2018},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.533203Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:84a15c474a2350e9309132dffc44e30e2962c56bd7211f6d1d833d86d8a71300","observation_id":"a9fc6d53-874b-4f18-b11f-d16310e823f9","resolution":{"observed_at":"2026-08-11T23:15:27.460750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.441952Z","title":"Ganmouflage: 3d object nondetection with texture fields, 2023","venue":null,"work_id":"64b178aa-7d60-42e0-85f1-51b147dfbd97","year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.537086Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:307d2c3d28f3718524b2eee1928cc82f740fe3b3fb137eb8538c7d2650c15f45","observation_id":"f08f27d6-a8fe-45a3-8556-fb52b09cd049","resolution":{"observed_at":"2026-08-11T23:15:27.446179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.429006Z","title":"Visual indeterminacy in gan art","venue":null,"work_id":"df3d0457-6a90-41c9-a9fd-28bbaa93d917","year":2020},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.540992Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:2a0bd8e261bff8e426b2a6ca2efeb5caee9848491ebf46b7361336ad8ece5525","observation_id":"c11354e9-589b-4424-bce2-fba299c4738b","resolution":{"observed_at":"2026-08-11T23:15:27.433255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.415973Z","title":"Denoising diffu- sion probabilistic models, 2020","venue":null,"work_id":"cab3d3cf-f327-4362-a2c4-6e5e46eea040","year":2020},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.545271Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:074f81b2e45057553e899b036790de8aa5b53d71f8ba8f5542533f8985660c47","observation_id":"93f82f5d-6a1d-492d-90bd-86b8f285856a","resolution":{"observed_at":"2026-08-11T23:15:27.420252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.403301Z","title":"Multi-task curriculum learning based on gradient similarity","venue":null,"work_id":"349e850e-c9f3-4b46-b75c-0839432b093e","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.549494Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:9b24860c81629844dd21cf08622870063ced87f686d02a46fe4d9c9195eaffda","observation_id":"b988f6a5-7f6e-41ab-b046-7b25b815314f","resolution":{"observed_at":"2026-08-11T23:15:27.407291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.390340Z","title":"Intriguing properties of generative classifiers, 2024","venue":null,"work_id":"2a3f85bd-de78-4f68-956c-05a1793abf20","year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.554261Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:52bba78cff76e1c93edb080749474b27b06deceb137594d810b10328e87f6025","observation_id":"888350a1-ed1b-46d1-974a-1eecf040fc35","resolution":{"observed_at":"2026-08-11T23:15:27.394627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:26.558956Z","title":"Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.558956Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:d8bb219234c753c0e4df3b4740f8d1ea1fe9484eb272271de0ea01cce0e4cea0","observation_id":"3202c738-eb95-4410-995f-4cf89151813c","resolution":{"observed_at":"2026-08-11T23:15:26.558956Z","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":"2026-08-11T23:15:26.562736Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.562736Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:9be4597e8634d47057718e1eb7c86879feba10fbda44c6bbe0262db968cff3d6","observation_id":"7be8cc88-e12d-4134-92fc-0eb69a77859a","resolution":{"observed_at":"2026-08-11T23:15:26.562736Z","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":"2026-08-11T23:15:27.361542Z","title":"Fairdiff: Fair segmenta- tion with point-image diffusion","venue":null,"work_id":"fd2229be-915d-46b2-ab7e-6f46b575c00b","year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.566581Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:2f46b4dedbcc390263889216d6aee1e186936ae28352914da3f5c494b64c771b","observation_id":"1092cebf-d564-4caa-89b3-239c59cd1fc1","resolution":{"observed_at":"2026-08-11T23:15:27.365193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.349358Z","title":"Pareto multi-task learning, 2019","venue":null,"work_id":"c95c8075-8ff4-46b9-8d13-04edebcd9834","year":2019},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.570652Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:7d110890f330a80a7e7599f63f4e5be8264f985e5e3d7ef1bbf673f0a67de917","observation_id":"365ed43f-8657-4cae-ab7c-b6a957909088","resolution":{"observed_at":"2026-08-11T23:15:27.352928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.01714","last_updated":"2023-01-17T17:08:51Z","snapshot_observed_at":"2026-08-13T15:30:23.443579Z","submitted_at":"2022-06-03T17:47:04Z","title":"Compositional Visual Generation with Composable Diffusion Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.01714","snapshot_observed_at":"2026-08-11T23:15:26.575481Z","title":"Tenenbaum","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.575481Z"},"links":{"cited_paper":"/paper/2206.01714","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:d12ea670cb10d4cb7958701a875d23a1fdcb94ba966cd6ac8874fd96ff5d1be8","observation_id":"823b4c95-2bf5-4bce-adb4-a4863cbc13c8","resolution":{"observed_at":"2026-08-11T23:15:26.575481Z","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":"2026-08-11T23:15:27.336364Z","title":"A Closed-Form Solution to Universal Style Transfer","venue":null,"work_id":"b932f953-5588-4d77-9d32-d7568e7c3188","year":2019},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.580301Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:1794c796b4d876875e457d38a77d05a874f791b09d1996c362c09cb2e2fbad23","observation_id":"96133f8e-36b2-4c38-9506-ec00b94b7ea4","resolution":{"observed_at":"2026-08-11T23:15:27.341105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.323291Z","title":"Decoder network over lightweight recon- structed feature for fast semantic style transfer","venue":null,"work_id":"25f791aa-2e0d-4d42-a0ae-1bd833e09e93","year":2017},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.584368Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:fb3038b6b04f2c158536b14be828a145c6225c8a4a14ccf5c167c2cc9577c122","observation_id":"51e25520-657c-4b9b-9191-fb2454ead655","resolution":{"observed_at":"2026-08-11T23:15:27.327563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.309931Z","title":"Cross-stitch networks for multi-task learning,","venue":null,"work_id":"c46886c9-840b-443c-aab9-ce8d64b1bfd2","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.588294Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:76d86d66d84b177e3d6a63a4977cbd52ece38c7ab5c0ea90cc84d5125a21b242","observation_id":"146cccff-6772-432b-90fa-50e29fa01066","resolution":{"observed_at":"2026-08-11T23:15:27.314401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01017","last_updated":"2022-07-08T12:00:51Z","snapshot_observed_at":"2026-08-13T16:48:33.513314Z","submitted_at":"2022-02-02T13:21:53Z","title":"Multi-Task Learning as a Bargaining Game","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01017","snapshot_observed_at":"2026-08-11T23:15:26.592385Z","title":"Multi-task learning as a bargaining game","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.592385Z"},"links":{"cited_paper":"/paper/2202.01017","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:18579b78a91547c1046359294968cca9c3bdf881a2d3509db887b9318e86cf8a","observation_id":"ff101f43-c81a-4150-b1aa-52733e410d7a","resolution":{"observed_at":"2026-08-11T23:15:26.592385Z","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":"2026-08-11T23:15:27.296095Z","title":"Sankaranarayanan, and Phillip Isola","venue":null,"work_id":"2649076d-be78-45c8-8fb8-275a786e0397","year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.596505Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:e28b074e9768cd607280309df997919dd4ff66f3af803f7a067940c2f27f68e0","observation_id":"10a90a12-916c-4425-b68e-e49478872532","resolution":{"observed_at":"2026-08-11T23:15:27.300619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.281826Z","title":"Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022","venue":null,"work_id":"8c273ff2-2f42-41fd-80e3-7246d7edd0d6","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.600533Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:611c7ff5ce08d3cddfe7a40ec3ebbc6ef48bbba36b2c9a045c9660eceb489dd8","observation_id":"387e2038-5713-4c36-849b-ba73da704fd9","resolution":{"observed_at":"2026-08-11T23:15:27.286322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.268573Z","title":null,"venue":null,"work_id":"e7b5e35c-5496-4f23-b8eb-f628db3aa776","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.605317Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:81a3e034c0344977623490205bcba6592eb8650855eabac6b44f07e6a83a497f","observation_id":"3bb99d36-e02c-4f00-bef0-35e7e7deade3","resolution":{"observed_at":"2026-08-11T23:15:27.272799Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.242288Z","title":null,"venue":null,"work_id":"ce84793a-76af-40c6-99eb-68e1d5be41f6","year":2006},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.615232Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:3392b1a659e2e72944460616fe1272f21931a12b174fd2dfba9f3874034a085c","observation_id":"e01354e2-c919-4427-9ed6-fa4e34570dfb","resolution":{"observed_at":"2026-08-11T23:15:27.246372Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.228478Z","title":"Camouflaging an object from many viewpoints","venue":null,"work_id":"7196d3c3-9231-43ad-b30e-57c91670b4eb","year":2014},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.619349Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:487d21c9a51229d69addfbe3f0e1ac8e6eda7ae18662023fa179a6b1a4302e62","observation_id":"e1f7902f-7de1-4038-9122-ea4e47fc7d50","resolution":{"observed_at":"2026-08-11T23:15:27.233044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14988","last_updated":"2022-09-29T17:50:40Z","snapshot_observed_at":"2026-07-06T13:57:54.539656Z","submitted_at":"2022-09-29T17:50:40Z","title":"DreamFusion: Text-to-3D using 2D Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14988","snapshot_observed_at":"2026-08-11T23:15:26.623254Z","title":"Dreamfusion: Text-to-3d using 2d diffusion","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.623254Z"},"links":{"cited_paper":"/paper/2209.14988","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:7e7dee07ba5bc0e9aae4ca7e84765f9c4601b05ce4377be851dbeab691a0db0a","observation_id":"27677f4b-cc3c-4547-91d9-9f4be0ee2566","resolution":{"observed_at":"2026-08-11T23:15:26.623254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2102.12092","last_updated":"2021-02-26T23:26:05Z","snapshot_observed_at":"2026-07-06T10:44:09.403787Z","submitted_at":"2021-02-24T06:42:31Z","title":"Zero-Shot Text-to-Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.12092","snapshot_observed_at":"2026-08-11T23:15:26.627187Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.627187Z"},"links":{"cited_paper":"/paper/2102.12092","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:0e04bab3b4a1d0196d9300257f4446a6db1022bfb82458e03053eb6d82e9f07c","observation_id":"20d8dc6f-8bda-4245-951d-cea58b5dd8ec","resolution":{"observed_at":"2026-08-11T23:15:26.627187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10752","last_updated":"2022-04-13T11:38:44Z","snapshot_observed_at":"2026-07-06T12:20:47.369918Z","submitted_at":"2021-12-20T18:55:25Z","title":"High-Resolution Image Synthesis with Latent Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10752","snapshot_observed_at":"2026-08-11T23:15:26.631336Z","title":"High- resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.631336Z"},"links":{"cited_paper":"/paper/2112.10752","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:b97bd6fae83086ddd9d0df256cba6ab47f1405b4e976c4293d29188e42759970","observation_id":"a03037c2-8f13-4fe4-922d-e2ee66d1623b","resolution":{"observed_at":"2026-08-11T23:15:26.631336Z","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":"2026-08-11T23:15:26.635264Z","title":"U- net: Convolutional networks for biomedical image segmen- tation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.635264Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:47932c021f2a0cb5c093d34d833e4bdcea6b3e3f2f0504cb41176fd4d1c068be","observation_id":"0b4b4a7c-f195-4010-ac96-8fb122346f56","resolution":{"observed_at":"2026-08-11T23:15:26.635264Z","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":"2026-08-11T23:15:27.205069Z","title":"Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J","venue":null,"work_id":"9dd79a3d-4c45-4a24-ba75-8952f268c6d4","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.638782Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:9f22794d67849ce73b360840b5e77a988cd465f44b204fa740fcd3735756e3b0","observation_id":"2aaedb87-73f1-4811-9a8e-a545a3c0a709","resolution":{"observed_at":"2026-08-11T23:15:27.209750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.191348Z","title":"Multi-task learning as multi-objective optimization, 2019","venue":null,"work_id":"8e296084-38d4-4ccf-9bd5-3bd491e3348b","year":2019},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.642361Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:f8c4e903d84fc29876ddc43e740913b21ec6be151da68bbc35000beb65bff509","observation_id":"974cc415-eab3-4f81-8a40-8f9b35509030","resolution":{"observed_at":"2026-08-11T23:15:27.195533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.178426Z","title":"Independent component alignment for multi-task learning, 2023","venue":null,"work_id":"900c45b8-f6c6-4c30-b187-b612c7f35f99","year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.645883Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:984c4528b73bb2dd12963a7745a7a3471a03b3e1d558d252b0419e5c890b1c59","observation_id":"7b9a9de3-817c-41de-b956-da26c0ce61c4","resolution":{"observed_at":"2026-08-11T23:15:27.182622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.03585","last_updated":"2015-11-18T21:50:51Z","snapshot_observed_at":"2026-07-06T04:11:47.439779Z","submitted_at":"2015-03-12T04:51:37Z","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.03585","snapshot_observed_at":"2026-08-11T23:15:26.650009Z","title":"Weiss, Niru Mah- eswaranathan, and Surya Ganguli","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.650009Z"},"links":{"cited_paper":"/paper/1503.03585","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:82d1933b25329c58e1103f0aebcab08d41d0b461218940486f8cb525577bfc9b","observation_id":"e8b5b9ee-d34f-4208-825d-cfee2233a2f4","resolution":{"observed_at":"2026-08-11T23:15:26.650009Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-11T23:15:26.655129Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.655129Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:c21f7b8ba3c0756a3a7653f95361b2fe12c744e1c954d49f682ea35d8954cc12","observation_id":"1cccc0c8-653e-49ba-9fe8-b87a11704911","resolution":{"observed_at":"2026-08-11T23:15:26.655129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-11T23:15:26.659117Z","title":"Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.659117Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:d1d3c77dbd5c42c5c83ec5b11569b52b9466deff547481923eeb6ee33858e451","observation_id":"1f60e9e5-ce6d-45ad-8cc9-222ea0629ca7","resolution":{"observed_at":"2026-08-11T23:15:26.659117Z","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":"2026-08-11T23:15:27.163987Z","title":"Adashare: Learning what to share for efficient deep multi-task learning","venue":null,"work_id":"198d06ac-fc62-4e26-be87-8d2839f4a07b","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.663308Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:7c5be237fa276535ad644af55aa48d0b397eaef0e41979a19ab39c0cbb085a54","observation_id":"085e5794-ed3f-45ff-9e32-6140f79ebbf1","resolution":{"observed_at":"2026-08-11T23:15:27.169290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.134221Z","title":"tancik/Illusion-Diffusion, July 2024","venue":null,"work_id":"40f13bf3-e688-498a-9902-63ebbab74f06","year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.671320Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:2d5190fedf48480962e5b0b4e91805ee4fdfbb9d4b2a37f71635586594606a83","observation_id":"601176ee-51ca-4016-bb10-0d51c6c85e7c","resolution":{"observed_at":"2026-08-11T23:15:27.138848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:26.675951Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.675951Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:d3130bb1d31b573be81a0a32310548992043348e361a378d62fcc9b15b27a280","observation_id":"cfaeeb85-cc17-4557-9a7a-7dcd56885783","resolution":{"observed_at":"2026-08-11T23:15:26.675951Z","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":"2026-08-11T23:15:27.109550Z","title":"Pretraining is all you need for image-to-image translation, 2022","venue":null,"work_id":"a7ecde74-4d74-420f-80cd-8332a72548b4","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.680496Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:c4b5380b1316cb7082397b797b55ced83673f6b34c61b1b92ada5d4c09f05725","observation_id":"86760ca6-3f41-4e86-9a40-82dbdd18c6d6","resolution":{"observed_at":"2026-08-11T23:15:27.114696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.094427Z","title":"Toward quantifying ambiguities in artistic images,","venue":null,"work_id":"2c7615f9-ff7c-4a9e-a6bb-6e2fe257fe22","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.684632Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:635e717f9b35200bed14a736b8bef65126bf1cdb6b9550f47f00b9f5b44e59ee","observation_id":"18229d6a-d671-49b0-af58-e18eeab80f08","resolution":{"observed_at":"2026-08-11T23:15:27.099884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.079601Z","title":"Do current multi-task optimization meth- ods in deep learning even help?, 2022","venue":null,"work_id":"0d7ef845-c46d-459f-ba5f-1325435f725b","year":2022},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.688684Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:334956f94594f88b6a8e46a4a4b8d4b457cbd2176167daf226c8aa06f3ec8de1","observation_id":"b9442000-d7ab-4f14-b165-2b076b401ea4","resolution":{"observed_at":"2026-08-11T23:15:27.084202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.065577Z","title":"Gradient surgery for multi-task learning, 2020","venue":null,"work_id":"71fe1110-0542-4ca4-91d6-e51f21c8b469","year":2020},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.692791Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:2df96d0b9e5b2f267a19113c0ec7cc1af29f722e6670f3ca83333465e6ddff99","observation_id":"74f43279-d925-43b2-a899-95ac452fef70","resolution":{"observed_at":"2026-08-11T23:15:27.070007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.11236","last_updated":"2025-03-19T14:41:25Z","snapshot_observed_at":"2026-08-12T22:23:07.249788Z","submitted_at":"2024-10-15T03:43:51Z","title":"Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.11236","snapshot_observed_at":"2026-08-11T23:15:26.696775Z","title":"Ctrl-u: Robust conditional image genera- tion via uncertainty-aware reward modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.696775Z"},"links":{"cited_paper":"/paper/2410.11236","citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:f1b464fff6e2e184c6329f3fa0bd819508829e6b3ae2ecdc4ab7522cc912a18a","observation_id":"77ee7108-6132-491a-abb4-ab1fb0d0fff3","resolution":{"observed_at":"2026-08-11T23:15:26.696775Z","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":"2026-08-11T23:15:27.052048Z","title":"An overview of multi-task learn- ing","venue":null,"work_id":"7cc30e20-3b52-43b1-8122-b71e0850fa7f","year":2017},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.701046Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:34b56872fe734d419c99e1b7143ab1e790edb1aa92d4cebb898290aac61cf332","observation_id":"cb03a1ed-b59a-4176-af32-8733e5e993b6","resolution":{"observed_at":"2026-08-11T23:15:27.056314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.037819Z","title":"A survey on multi-task learn- ing","venue":null,"work_id":"ee70c0f9-ad94-49ff-abd0-1bf3bf84bd10","year":2021},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.705091Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:c8d28270150a4ff008177fa7a8c9da672e0cda9cd3977159001b60efa16f0613","observation_id":"cfab000b-3854-46e8-8b89-b87d2e286069","resolution":{"observed_at":"2026-08-11T23:15:27.042531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.024374Z","title":"Steps: Joint self-supervised nighttime image enhancement and depth estimation","venue":null,"work_id":"e29f000a-c5db-4348-975e-1d25f20a012c","year":2023},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.709098Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:cc49613be4c9f7541f9ea8e7f0a7ab1c9abec827aaf56371e2bd056ec6bb77d6","observation_id":"208824bc-da33-451f-9e82-cbcd54a49c49","resolution":{"observed_at":"2026-08-11T23:15:27.028699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.255399Z","title":null,"venue":null,"work_id":"160245c5-4e0e-4f07-aa85-32345a9c26a8","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.610330Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:8db882fddd0e29c229fa44c5aed16c0bdcdaf88f58db5cea9363f4e4cf60aa00","observation_id":"e0c4c508-ad44-408f-a027-5f8ff449fb67","resolution":{"observed_at":"2026-08-11T23:15:27.259548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.610326Z","title":"1, 2, 6, 11, 12","venue":null,"work_id":"7e70b7a2-a512-45ec-810c-dd77dd83a33d","year":null},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.462338Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:029aa0e1120b9153ebc7a0b39a2d69bdd4ca6f8c3d4cdbaa0ba2a38954ca82b3","observation_id":"426f27b1-8c11-476b-a804-e88f336605db","resolution":{"observed_at":"2026-08-11T23:15:27.615024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T23:15:27.148593Z","title":null,"venue":null,"work_id":"33be9ab8-1337-425d-af9f-783b781f9d8b","year":2020},"citing_paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning","version":1},"reference_index":8740,"source":"pdf_text","source_observed_at":"2026-08-11T23:15:26.667200Z"},"links":{"citing_paper":"/paper/2412.02693"},"observation_digest":"sha256:d0462ece20fca96371082eaa41b03225310b856fc3ac240a4cf3a6fc6c8d1447","observation_id":"a67c282d-7aad-497b-8657-ed8dbd96aa5c","resolution":{"observed_at":"2026-08-11T23:15:27.153204Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.02693","last_updated":"2024-12-03T18:59:28Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T19:54:23.092975Z","submitted_at":"2024-12-03T18:59:28Z","title":"Diffusion-based Visual Anagram as Multi-task Learning"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":1,"verified_fuzzy":41},"total_outbound_references":66},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2412.02693."}