{"as_of":"2026-08-13T06:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:74e377759f1552aa7940b32a3ad30c0308076cd27545c9e58eb9a41db962397f","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:01:01.597505Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2411.14755/citation-record","integrity":"/paper/2411.14755/integrity","json":"/paper/2411.14755/citation-record.json","paper":"/paper/2411.14755"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:01:02.067312Z","title":"Denoising diffusion prob- abilistic models,","venue":null,"work_id":"1f53c8ad-816a-4c97-a991-adf67e5b4a30","year":2020},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.437803Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:153e3b046af3ce5cb4c909ab662f1542ee9b4ccc589cca8f63d9cd7f9ce129f4","observation_id":"477b8260-c1a9-44b6-b528-c23b55139dbc","resolution":{"observed_at":"2026-08-12T15:01:02.073063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:02.052933Z","title":"Disrupting anti-spoofing systems by images of consistent identity,","venue":null,"work_id":"89a40382-f16f-4df5-8548-efd69640cf85","year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.443020Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:c96b04d71abc9514388cefbdff7523da825b5a8d1da3b38db58d10ae92770e11","observation_id":"60236dbf-122b-48a6-b0a4-a6f6c273c70c","resolution":{"observed_at":"2026-08-12T15:01:02.058732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:02.038093Z","title":"Cnn-generated images are surprisingly easy to spot... for now,","venue":null,"work_id":"b6dc01fe-5233-4991-b297-3bbdec50c103","year":2020},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.449479Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:16d7991680fbb39ca56bded15726d79a2fc4dac523882f619ffb9a2814cd8c1c","observation_id":"f2e08d2d-56b7-4fab-8939-edf516876da6","resolution":{"observed_at":"2026-08-12T15:01:02.044514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:02.013833Z","title":"On the detection of synthetic images generated by diffusion models,","venue":null,"work_id":"31ad00a6-e23c-49a3-a007-6db3a275352e","year":2023},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.455092Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:64f0d3edc8ab4c782d36ede9ce2e76d87dd52e42650089c90b4c3756e11aa702","observation_id":"6b039a23-2bf3-4054-a822-09e19b9684ff","resolution":{"observed_at":"2026-08-12T15:01:02.019762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09739","last_updated":"2024-11-28T18:15:41Z","snapshot_observed_at":"2026-08-12T23:43:00.775361Z","submitted_at":"2024-06-14T06:00:14Z","title":"Decoupling Forgery Semantics for Generalizable Deepfake Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09739","snapshot_observed_at":"2026-08-12T15:01:01.459673Z","title":"Decoupling forgery semantics for generalizable deepfake detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.459673Z"},"links":{"cited_paper":"/paper/2406.09739","citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:7e29fc67d52c0ad9767eb57e33e9fc6dade48c92c2b7f5e0d2342247f85635e8","observation_id":"4ab7baf9-d227-44d9-ab1f-583e27048a54","resolution":{"observed_at":"2026-08-12T15:01:01.459673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00045","last_updated":"2025-07-26T02:37:03Z","snapshot_observed_at":"2026-08-13T04:37:43.199286Z","submitted_at":"2024-01-22T15:08:19Z","title":"Detecting Multimedia Generated by Large AI Models: A Survey","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00045","snapshot_observed_at":"2026-08-12T15:01:01.465780Z","title":"Detecting multimedia generated by large ai models: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.465780Z"},"links":{"cited_paper":"/paper/2402.00045","citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:025d5e08c1c53e84d783edb292188c8a71a2600d63e661263c08f5817ab164ee","observation_id":"3aab2cdd-315b-4258-9e6d-899a4d4ff591","resolution":{"observed_at":"2026-08-12T15:01:01.465780Z","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":"2026-08-12T15:01:01.994877Z","title":"Towards universal fake image detectors that generalize across generative models,","venue":null,"work_id":"07d6da53-c033-49a8-946c-94adac157937","year":2023},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.470998Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:736c4bd86ce155dc0a91bfb6c0df1f622c265dff64d98c01615692345a0fe70e","observation_id":"989b40eb-050a-4e3e-b648-a8304b909398","resolution":{"observed_at":"2026-08-12T15:01:02.002266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.974958Z","title":"Synthesizing black-box anti- forensics deepfakes with high visual quality,","venue":null,"work_id":"c77bfffd-e077-47fa-ad57-342e328eebcc","year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.476055Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:37217ebd6abe7049df0b75353b7325c648e2c6a517f375e62aa0afcd14f0f34c","observation_id":"7aa4d5b2-7521-4cd1-b0a6-e54bbf349980","resolution":{"observed_at":"2026-08-12T15:01:01.981263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.957798Z","title":"Anti-forensics for face swapping videos via adversarial training,","venue":null,"work_id":"df280940-e4e7-4d2a-afae-8f82f2ce5eff","year":2021},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.481214Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:b671e0cd06327fb366f3e425eddfed543f45efdc77c140f690505169fc6a19ce","observation_id":"3bc54cd3-e961-4c72-87d1-6f1f95db0fbf","resolution":{"observed_at":"2026-08-12T15:01:01.962279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.942163Z","title":"High-resolution image synthesis with latent diffu- sion models,","venue":null,"work_id":"7538913f-5085-43d5-9118-f0e36181156f","year":2022},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.493102Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:5c80db74df4383dc957ac0f625b0f6cbecb04d93f35d481e50ef793e99668d7d","observation_id":"f964d573-d97d-4098-9ac3-74c813ffc08d","resolution":{"observed_at":"2026-08-12T15:01:01.947736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.917552Z","title":"Detecting and simu- lating artifacts in gan fake images,","venue":null,"work_id":"16f335e3-f3ab-4f21-a120-c9a0e1813dad","year":2019},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.499222Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:d783586097c23bac32e7ca11040555691f008291c926d1b485ffed9052893d0c","observation_id":"c0a7b879-1ffa-44c0-bda1-49989873bb41","resolution":{"observed_at":"2026-08-12T15:01:01.931784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.891155Z","title":"Clipping the decep- tion: Adapting vision-language models for universal deepfake detection,","venue":null,"work_id":"07671d51-8b1d-4962-8781-0f74f352746d","year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.506987Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:35b6904da9092782afe11a5cc45a5b298a905dff358e52bdc86257eb4f7a31b0","observation_id":"bde122ee-83d7-4422-bbd5-b017c1c1787a","resolution":{"observed_at":"2026-08-12T15:01:01.905527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.872922Z","title":"Preserv- ing fairness generalization in deepfake detection,","venue":null,"work_id":"bb72a589-e47a-49f7-be4a-5d0b6e03ee98","year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.513808Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:acd842ed38b111e14fc93403f35b294aba53482263748d696ab6191e94d26c85","observation_id":"a6225cb2-6a62-4cd0-b342-11260aa32fa2","resolution":{"observed_at":"2026-08-12T15:01:01.878513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.859333Z","title":"Improving fairness in deepfake detection,","venue":null,"work_id":"5188f255-00d9-488a-be02-96be683790bb","year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.524062Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:4655afa2e29509b298bd8b6582c96644ce5baf7ade68bda58cf8cbf08d771698","observation_id":"7fd5c055-420e-424d-a5da-3561966a4312","resolution":{"observed_at":"2026-08-12T15:01:01.863543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.536086Z","title":"Learning trans- ferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.536086Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:b848b9a22bf1bbd66cc418f1f731a5320badf87586d09775fe24182c271c907a","observation_id":"8b000914-5b6a-49b9-996e-1ce26e7d96f5","resolution":{"observed_at":"2026-08-12T15:01:01.536086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10196","last_updated":"2018-02-26T15:33:34Z","snapshot_observed_at":"2026-07-06T06:06:26.276752Z","submitted_at":"2017-10-27T15:28:35Z","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10196","snapshot_observed_at":"2026-08-12T15:01:01.542624Z","title":"Progres- sive growing of gans for improved quality, stability, and variation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.542624Z"},"links":{"cited_paper":"/paper/1710.10196","citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:3ff80f387712be40f5c0fddfc5cafd51a81d0d1b5cee9c34c6ec047aaded5108","observation_id":"26f74572-8b9e-4a67-93b4-1e4df121fdeb","resolution":{"observed_at":"2026-08-12T15:01:01.542624Z","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":"2026-08-12T15:01:01.548062Z","title":"Unpaired image-to-image translation using cycle-consistent adversarial networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.548062Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:1c3c7f84f0df30998e6591173ce141b2f6758a8be891f4147b8924dff1daf955","observation_id":"cad92c59-e814-4129-ab1d-6aaee1c1a2d2","resolution":{"observed_at":"2026-08-12T15:01:01.548062Z","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":"2026-08-12T15:01:01.558619Z","title":"A style-based generator architecture for generative adversarial networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.558619Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:7f0832b2249046ab33d9b4fff33fdd2bb36b889a1b25ef0684d0f46b46af9bf5","observation_id":"affc0b4a-2fb6-4193-9155-21b2950d3faa","resolution":{"observed_at":"2026-08-12T15:01:01.558619Z","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":"2026-08-12T15:01:01.811905Z","title":"Analyzing and improving the image quality of stylegan,","venue":null,"work_id":"399f0c0b-b560-4694-89b2-8081138db6cc","year":2020},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.564831Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:ef74a3211cf268b3045d5f5a5b820f38bf2f4e0c33f29c4d3129c964dd66d78a","observation_id":"b834f540-f34a-4e5c-9642-b16a58f1c984","resolution":{"observed_at":"2026-08-12T15:01:01.816808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10741","snapshot_observed_at":"2026-08-12T15:01:01.571877Z","title":"Glide: Towards photorealistic image generation and editing with text-guided diffusion models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.571877Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:116cc44dc4e9c84fcbc88eea5a406e5e18a4828c3879f26af014ba82b35f6422","observation_id":"b8ed9738-9db0-4f9f-a730-51a6a8be4ea1","resolution":{"observed_at":"2026-08-12T15:01:01.571877Z","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":"2026-08-12T15:01:01.789397Z","title":"Leveraging frequency analysis for deep fake image recognition,","venue":null,"work_id":"9fcb2cff-d6c6-4c43-a7f1-2f09e89731d3","year":2020},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.581254Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:4c672b2ac42adb092abdbba932f3399c7871f2f52ae748db63bbaeb5764e0e93","observation_id":"647612c8-96e7-46c0-8535-e51c6c0b65c8","resolution":{"observed_at":"2026-08-12T15:01:01.794226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.765093Z","title":"Fusing global and local features for generalized ai-synthesized image detection,","venue":null,"work_id":"05693b5d-76b8-4e6f-8bdc-4d0b8764a869","year":2022},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.587680Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:1b2c72ffc2119badfc8521daaf0571c9c3db0e839fd1d1db3d78c4eb583eabda","observation_id":"6e9b283a-4a77-4233-805b-4339347afc14","resolution":{"observed_at":"2026-08-12T15:01:01.770151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.745952Z","title":"Learning on gradients: Generalized artifacts representation for gan-generated images detection,","venue":null,"work_id":"74920658-e7c1-43ef-b659-7136236b1217","year":2023},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.593559Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:b01252398a4ab386057aefad69cc1a60f0615d80fd14e18ab977b9f5fe0f5e10","observation_id":"38f33856-efec-451f-b9d4-6b0284bb9f1d","resolution":{"observed_at":"2026-08-12T15:01:01.752904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:01:01.726709Z","title":"Clip-adapter: Better vision-language models with feature adapters,","venue":null,"work_id":"e310c79f-26b7-4972-a6d6-4ed85881d9fe","year":2024},"citing_paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:01:01.597505Z"},"links":{"citing_paper":"/paper/2411.14755"},"observation_digest":"sha256:a1a7623b4f57612260be26903fac9a0939046144b16797d22f7e5d3334337795","observation_id":"f13ca193-72aa-49b4-a953-6991c0396165","resolution":{"observed_at":"2026-08-12T15:01:01.734633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.14755","last_updated":"2024-11-22T06:23:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T14:53:29.878244Z","submitted_at":"2024-11-22T06:23:58Z","title":"FairAdapter: Detecting AI-generated Images with Improved Fairness"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":24},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.14755."}