{"as_of":"2026-08-08T12:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:397693537a8c521fa588868645b6de303975973ea904b422aedb14f2a38799d0","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:37:01.428991Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.08821/citation-record","integrity":"/paper/2502.08821/integrity","json":"/paper/2502.08821/citation-record.json","paper":"/paper/2502.08821"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T23:37:01.837509Z","title":"https://www.aiornot.com,","venue":null,"work_id":"d5b28008-a70d-4670-9f33-81c795245468","year":2025},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.297481Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:94c0b619c7cf13032a8da2f0b71af163fc739cc814fbed53e449390833272db1","observation_id":"4285fe6a-61ae-4b5e-841e-7880719b7eee","resolution":{"observed_at":"2026-08-07T23:37:01.841724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.790242Z","title":"Mapping the ethics of generative ai: A comprehensive scoping review","venue":null,"work_id":"b1f86dab-d53e-4d4e-b13a-f81e226238a5","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.323966Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:b45714ac1a7fb9d978734134d0ebffee76b702a9f5bb64259bf40bfcde17d70f","observation_id":"1e10ca93-eb30-46f7-8dc4-2257c95e16e2","resolution":{"observed_at":"2026-08-07T23:37:01.793868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.780153Z","title":"Learn- ing from class-imbalanced data: Review of methods and applications","venue":null,"work_id":"d1b36db4-d471-4f45-bb1a-7a68e575baa2","year":2017},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.327676Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:ad318483bda040fb607c964914779c2a6ab2484661adf102bce509ce5eb9b29a","observation_id":"43986053-e970-4082-a30c-0c6f66c58f13","resolution":{"observed_at":"2026-08-07T23:37:01.783720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01023","last_updated":"2024-07-01T07:13:14Z","snapshot_observed_at":"2026-08-04T04:09:21.588074Z","submitted_at":"2024-07-01T07:13:14Z","title":"DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers","version":1},"cited_work":{"arxiv_id":"2407.01023","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.01023","snapshot_observed_at":"2026-08-07T23:37:01.548182Z","title":"DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers","venue":"cs.LG","work_id":"88de1057-694a-4e05-a4dd-52c08b5fd0cf","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.335556Z"},"links":{"cited_paper":"/paper/2407.01023","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:5bb3afe4278e162d33db28260a5cd95b4c1047bd8b27b30dc7403b8d03b50b65","observation_id":"1ef1f13b-a68a-44f4-8ae2-55964476bf13","resolution":{"observed_at":"2026-08-07T23:37:01.552368Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.770047Z","title":"Densely con- nected convolutional networks","venue":null,"work_id":"20f1a6b1-20bd-4e6f-8388-842bb4c24107","year":2017},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.339696Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:ba8f4c41fa0eef1ce3390e0fd86d140bf0545b178819ee0006313db19ceccba9","observation_id":"7caa41ab-e254-4f01-b8ef-61189aabcb3c","resolution":{"observed_at":"2026-08-07T23:37:01.773478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04970","last_updated":"2025-02-07T14:36:55Z","snapshot_observed_at":"2026-07-06T20:32:52.772976Z","submitted_at":"2025-02-07T14:36:55Z","title":"Gradient-based Explanations for Deep Learning Survival Models","version":1},"cited_work":{"arxiv_id":"2502.04970","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.04970","snapshot_observed_at":"2026-08-07T23:37:01.532664Z","title":"Gradient-based Explanations for Deep Learning Survival Models","venue":"stat.ML","work_id":"4148d82e-31af-49ce-b56c-c83a3cf791ad","year":2025},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.343477Z"},"links":{"cited_paper":"/paper/2502.04970","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:f70ca30f90c6e52071f1f2c4dec0112c8ac6e2ca33882d04fca8f364cd65eb97","observation_id":"aba82160-9121-4974-a925-45a1ce2a5618","resolution":{"observed_at":"2026-08-07T23:37:01.536794Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.759640Z","title":"Highly scalable deep learning training system with mixed- precision: Training imagenet in four minutes,","venue":null,"work_id":"b2f7fb42-aa14-4b98-8d77-68616ec04347","year":2018},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.347724Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:82ce587973f4a72729dfeca8aae243397eeaf96839feca046028d2db8a4d2783","observation_id":"d62d3e13-83ef-4ab0-985e-a5ab0eb677f1","resolution":{"observed_at":"2026-08-07T23:37:01.763509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.749687Z","title":"A recipe for training neural networks,","venue":null,"work_id":"ffa252f8-9230-4d77-ad48-204666a0c011","year":2019},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.355452Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:31c4e6d1a756a4f4bce9d584babb88f945066bf163be8cb14df8e2406a135fa1","observation_id":"34af8c27-b611-4afb-a18a-b71667a314f8","resolution":{"observed_at":"2026-08-07T23:37:01.753375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.729117Z","title":"[Li et al., 2024] Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, and Bo Luo","venue":null,"work_id":"ac0c76f1-d4c4-451a-90c1-e218107cad63","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.362560Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:f5bce28e3d0a78ff0519d6bb75e51a88281695f37b62e3c047549184eafed17f","observation_id":"78286b8c-e350-4dcf-a197-8ae08a127138","resolution":{"observed_at":"2026-08-07T23:37:01.732679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14257","last_updated":"2022-06-28T19:16:58Z","snapshot_observed_at":"2026-07-06T13:25:43.254971Z","submitted_at":"2022-06-28T19:16:58Z","title":"Cosmic Neutrinos as a Window to Departures from Special Relativity","version":1},"cited_work":{"arxiv_id":"2206.14257","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.14257","snapshot_observed_at":"2026-08-07T23:37:01.506939Z","title":"Cosmic Neutrinos as a Window to Departures from Special Relativity","venue":"hep-ph","work_id":"173c9789-d191-4234-a05e-d2a5139ba45c","year":2022},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.366110Z"},"links":{"cited_paper":"/paper/2206.14257","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:3a41356a0710ca2322723ea44c4e5eda6505a6ea9f89a70bf0d373381ed35b80","observation_id":"b2c1c673-3a8b-461b-988d-37da4dd1fd97","resolution":{"observed_at":"2026-08-07T23:37:01.511955Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.708723Z","title":"Mobilenetv2: Inverted residuals and linear bottlenecks","venue":null,"work_id":"91fc6124-08bb-4c28-ae84-940e120a1a37","year":2018},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.373519Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:e2a109a66342e32f48caacee7c39c62816cc2ebed4a9c337a1dcc8da062bb05e","observation_id":"94e18e62-161b-418b-92c3-ec05bb0356d2","resolution":{"observed_at":"2026-08-07T23:37:01.712184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.698933Z","title":"Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra","venue":null,"work_id":"dfac1075-f35c-4ccd-86ad-2ef66c9b80ad","year":2017},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.377543Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:636f9dfe9abb606e51140cd24fed26407b83a848ea776235e83f42b0842ccbb3","observation_id":"3d9f3a11-cd8d-45e0-a5df-ef4258f7e660","resolution":{"observed_at":"2026-08-07T23:37:01.702300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.688638Z","title":"The rise of creative machines: Exploring the im- pact of generative ai,","venue":null,"work_id":"8608cec0-cf74-48cd-be78-953c7db11ddb","year":2023},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.381173Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:922ea8c729fef263b40d681e33b9b8c5ef5abce9b855df7348e4051d6fb4490c","observation_id":"7106c2ca-8d99-4c74-97be-4d77ba8b7153","resolution":{"observed_at":"2026-08-07T23:37:01.692289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.667870Z","title":"Deep inside convolutional networks: Visualising image classification models and saliency maps,","venue":null,"work_id":"1671a495-00e0-440f-91aa-072fc719a2c4","year":2014},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.388037Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:50f71ca512660d302cfdcc088274376dedc37fa89877826e07b82304adf6739c","observation_id":"eba47d9c-6eec-469c-9d77-40c5dcf04345","resolution":{"observed_at":"2026-08-07T23:37:01.671636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03825","last_updated":"2017-06-12T19:53:30Z","snapshot_observed_at":"2026-07-06T05:46:32.599765Z","submitted_at":"2017-06-12T19:53:30Z","title":"SmoothGrad: removing noise by adding noise","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03825","snapshot_observed_at":"2026-08-07T23:37:01.391723Z","title":"Smooth- grad: removing noise by adding noise","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.391723Z"},"links":{"cited_paper":"/paper/1706.03825","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:89c9423f0adaf08d7051dced1dd9b0d4f0b7ae19162cf563b17550d9a3e5bcfd","observation_id":"01ff91b2-d2ad-4156-9393-e9ba1f373e5e","resolution":{"observed_at":"2026-08-07T23:37:01.391723Z","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":"2026-08-07T23:37:01.657083Z","title":"Deep unsupervised learning using nonequilibrium thermody- namics","venue":null,"work_id":"8a0cdf8d-3b84-4635-9e2b-28e7ddbcb7f6","year":2015},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.395553Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:6a1309ece2f4e37dfc4f63ff0b08088fa432a2d9ac212af6066d17736aa4f38e","observation_id":"976e7f9d-33b1-40a4-ae4b-0ae088b7f376","resolution":{"observed_at":"2026-08-07T23:37:01.660978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.645648Z","title":"Evaluating the social impact of generative ai systems in systems and society,","venue":null,"work_id":"6729a82b-5cbc-4764-a8e8-b02a35dff199","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.399633Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:b932a95bc3bf354c57ce30940132d72f8b4e00d3c5e20e555b103d102813dc3c","observation_id":"3da0dab7-0747-4d21-9e4e-6dd8758d2b4e","resolution":{"observed_at":"2026-08-07T23:37:01.649846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.634259Z","title":"Axiomatic attribution for deep net- works","venue":null,"work_id":"7516d95a-b426-4bf8-a753-5561c3cb88d5","year":2017},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.403209Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:fd95e44f529cdb372c4102aee06b0ef91543abf6bb48b43975ec90191dbe8eab","observation_id":"4ce7deb0-93dd-49bf-bcd3-c7f60c72a2e7","resolution":{"observed_at":"2026-08-07T23:37:01.637975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.14896","last_updated":"2023-07-06T11:53:19Z","snapshot_observed_at":"2026-08-04T19:36:09.411861Z","submitted_at":"2022-10-26T17:54:20Z","title":"DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.14896","snapshot_observed_at":"2026-08-07T23:37:01.406670Z","title":"Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.406670Z"},"links":{"cited_paper":"/paper/2210.14896","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:3125af9c109aa12f31ed5a912383ea1fc3b9d7bcbc1d5f69f6025018000a5a96","observation_id":"04416910-d268-405a-9aea-3c6cade0e4e3","resolution":{"observed_at":"2026-08-07T23:37:01.406670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05981","last_updated":"2024-07-25T13:37:16Z","snapshot_observed_at":"2026-08-01T13:42:00.594904Z","submitted_at":"2024-02-08T08:02:57Z","title":"Anatomizing Deep Learning Inference in Web Browsers","version":2},"cited_work":{"arxiv_id":"2402.05981","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.05981","snapshot_observed_at":"2026-08-07T23:37:01.469762Z","title":"Anatomizing Deep Learning Inference in Web Browsers","venue":"cs.LG","work_id":"b0c9b5fd-9c8f-4ec4-95e9-17b191469d23","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.410393Z"},"links":{"cited_paper":"/paper/2402.05981","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:28631155c5dafa607ed696427da25cf614fa88d0f71f0b445b12a554571a6daa","observation_id":"5e25bd1c-d1cd-47be-a0a2-90a3089aa4a9","resolution":{"observed_at":"2026-08-07T23:37:01.475992Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.622795Z","title":"https://www.wikiart.org/,","venue":null,"work_id":"f11a8205-0218-4d32-b951-d82382cf4606","year":2025},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.414081Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:d51874ce6184a54053a0d8354633af331eb89342edfc7cd4fea6d14814552d9c","observation_id":"b75e44d7-98fc-4889-b62c-8042f4030579","resolution":{"observed_at":"2026-08-07T23:37:01.626565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.612020Z","title":"A comprehensive survey of image augmentation techniques for deep learning.Pattern Recog- nition, 137:109347, May","venue":null,"work_id":"30acb196-6044-441c-9d68-b51f1ca8a2e7","year":2023},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.418171Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:05055f90e82f9e12d7f262d456c6fdc678fdaa5a57fa2254eca5073969c01809","observation_id":"3e5fc24b-f7a6-417f-a6c6-dfe7f0a6e7f3","resolution":{"observed_at":"2026-08-07T23:37:01.615925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.600431Z","title":"A sanity check for ai-generated image detection, 06","venue":null,"work_id":"9e0863eb-0f6c-4f6e-b697-0fbcdd50be56","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.421779Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:3d2360130b08ce9e36e9f97b2d86a87bb1f3331d9fd48597dc30086baa5a0949","observation_id":"7cd94898-080f-4d4d-99ea-e7f62c03ff66","resolution":{"observed_at":"2026-08-07T23:37:01.604545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09194","last_updated":"2021-03-03T21:41:33Z","snapshot_observed_at":"2026-07-06T09:48:57.151465Z","submitted_at":"2020-08-20T20:25:18Z","title":"On Attribution of Deepfakes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.09194","snapshot_observed_at":"2026-08-07T23:37:01.425284Z","title":"On attribution of deepfakes","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.425284Z"},"links":{"cited_paper":"/paper/2008.09194","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:2d64b799a66c45e7080137b6b4f5940098f15b6528df41f3425ec95eaad16564","observation_id":"ababd32c-00ea-4c37-bd5c-1f1a3862890c","resolution":{"observed_at":"2026-08-07T23:37:01.425284Z","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":"2026-08-07T23:37:01.589197Z","title":"Patchcraft: Explor- ing texture patch for efficient ai-generated image detec- tion, 2024","venue":null,"work_id":"9f8c8438-d08b-4bf1-9a45-a257ff5b100b","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.428991Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:2af569cf0f3d94fe9ab1db94061c8e91c08f1608416c316108ea1f8276a203af","observation_id":"5ddbf231-1ada-4c63-b874-2634c85f440d","resolution":{"observed_at":"2026-08-07T23:37:01.593154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.801030Z","title":"Ai-generated image detection: Passive or water- mark?,","venue":null,"work_id":"5a08fd6c-89c0-469d-939c-1b2b82257b1a","year":2025},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.319827Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:76d6e4720d845930ee5b6e805331b26bbe5b815d8258f495674d530e752d3021","observation_id":"fc8faf33-85eb-4e19-8bce-03001c54b8df","resolution":{"observed_at":"2026-08-07T23:37:01.805555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T23:37:01.307113Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.307113Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:2e63aedde59eea71e6083ddd3708b8e13eb62e34aac45adbee8896f162c90231","observation_id":"98656326-78d0-481f-b871-b6b456ec98f9","resolution":{"observed_at":"2026-08-07T23:37:01.307113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-08-07T23:37:01.331457Z","title":"Deep residual learning for image recog- nition","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.331457Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:0a6f7164e7e27823d9508ba695d8a785a33b003ad5872656560680a05c14df95","observation_id":"c47be477-368d-40b9-86f4-5b4c07fb3e78","resolution":{"observed_at":"2026-08-07T23:37:01.331457Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.08272","last_updated":"2020-10-01T01:15:28Z","snapshot_observed_at":"2026-07-06T09:48:19.033988Z","submitted_at":"2020-08-19T05:28:08Z","title":"Compiling ONNX Neural Network Models Using MLIR","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.08272","snapshot_observed_at":"2026-08-07T23:37:01.351277Z","title":"Compiling onnx neural net- work models using mlir.arXiv preprint arXiv:2008.08272,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.351277Z"},"links":{"cited_paper":"/paper/2008.08272","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:2ded0a80db16a1dd51e71a699c335efc2ab05d572b997f2594b09194b351b75c","observation_id":"5da1d094-c491-4ef3-896e-47a2bef3a989","resolution":{"observed_at":"2026-08-07T23:37:01.351277Z","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":"2026-08-07T23:37:01.739237Z","title":"[Kholy, 2024a] Adam El Kholy","venue":null,"work_id":"a720924f-081f-4c74-85c9-fe29f0300204","year":2025},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.359010Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:8b1355f9380e65e7bc5fe31806ba4c87ebdc2ecef789d054dccb563d113a6a87","observation_id":"1b9b578f-e622-44b1-8e6c-edceef53ff8d","resolution":{"observed_at":"2026-08-07T23:37:01.742899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.812861Z","title":"Improving interpretability and robustness for the detection of ai-generated images,","venue":null,"work_id":"2b37543e-676d-4637-a8ef-f9556e4a1aa0","year":2024},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.311532Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:f46e9cae609217d74099b343315998f894466e62ee5e0fd4c2867468aa269db7","observation_id":"fde3f795-f6df-4100-b1a6-bf72b5edf89a","resolution":{"observed_at":"2026-08-07T23:37:01.817327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.718803Z","title":"Mixed precision training,","venue":null,"work_id":"503c6a84-d50b-4c47-aa05-5b79e30cbc1f","year":2018},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.369951Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:6d8460f01615f64e66291db4f0de2ee56183265c42e0a205f6f3b5bc8fd40e6b","observation_id":"b7043576-6b15-44f9-9f9a-ff1ed81d8a19","resolution":{"observed_at":"2026-08-07T23:37:01.722380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T23:37:01.678201Z","title":"Shorten and T.M","venue":null,"work_id":"90adfdfa-fd8f-4272-9310-4f16d029d86e","year":2019},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.384579Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:60674873705d66d379c83d818d0541c9f5d833e06a38ab24668623dd4290b9ff","observation_id":"f284a174-d2a4-469d-8489-ec4f280740da","resolution":{"observed_at":"2026-08-07T23:37:01.681640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.2661","last_updated":"2014-06-10T18:58:17Z","snapshot_observed_at":"2026-07-06T03:46:00.791740Z","submitted_at":"2014-06-10T18:58:17Z","title":"Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.2661","snapshot_observed_at":"2026-08-07T23:37:01.315540Z","title":"Goodfellow, Jean Pouget- Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.315540Z"},"links":{"cited_paper":"/paper/1406.2661","citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:509723fdfebc3b056afacc57fc6d40c20ff6cb8614d002f478b820c7fc634e63","observation_id":"14b37725-c483-455c-a773-30093f6b11b5","resolution":{"observed_at":"2026-08-07T23:37:01.315540Z","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":"2026-08-07T23:37:01.824829Z","title":"[Bach et al., 2015] Sebastian Bach, Alexander Binder, Gr´egoire Montavon, Frederick Klauschen, Klaus-Robert M¨uller, and Wojciech Samek","venue":null,"work_id":"f86b1a6c-8d3d-46d5-b020-d29cc53cd99c","year":2025},"citing_paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T23:37:01.303033Z"},"links":{"citing_paper":"/paper/2502.08821"},"observation_digest":"sha256:812c5c746bad3e92373ec7ad7888c01e2b26fa72afedbc7aea2c8a772fccc815","observation_id":"566bd6b0-e7f2-45a5-9eae-abb1dececec0","resolution":{"observed_at":"2026-08-07T23:37:01.829915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.08821","last_updated":"2025-05-08T04:42:55Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T23:31:49.273273Z","submitted_at":"2025-02-12T22:24:49Z","title":"DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":7,"verified_exact":3,"verified_fuzzy":24},"total_outbound_references":35},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2502.08821."}