{"as_of":"2026-08-12T13:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:66ba637679414f7f71ac7f9042fe4a2ec289db61628bb13df7e9e7d89c834d77","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:07:15.939580Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"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/2505.16253/citation-record","integrity":"/paper/2505.16253/integrity","json":"/paper/2505.16253/citation-record.json","paper":"/paper/2505.16253"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:07:19.746699Z","title":"Cifake: Image classification and explainable identification of AI-generated synthetic images,","venue":null,"work_id":"fd4e2e2d-b0eb-4073-93b7-afb57d3576ed","year":2024},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:13.983407Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:881a882a1a2d979c959c77b95a1773169aeb73572ac74abbb9db62191ddc099b","observation_id":"aae03a1b-c97e-4c7f-94a1-18de16f3ad4d","resolution":{"observed_at":"2026-08-07T15:07:19.811582Z","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":"2026-08-07T15:07:19.581054Z","title":"Columbia photographic images and photorealistic computer graphics dataset","venue":null,"work_id":"77b7ccb9-7243-4b18-aa3e-0f89f580462f","year":2004},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.063110Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:2eb681976ffd80a013f947f393645f8f730c7e600a0462eed8a05afa6f92030f","observation_id":"200868db-5a5b-44ce-88a5-4558df3959bd","resolution":{"observed_at":"2026-08-07T15:07:19.614043Z","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":"2026-08-07T15:07:19.509771Z","title":"Dataset for classification of computer graphic images and photographic images,","venue":null,"work_id":"caec3edf-7506-48d0-acf2-efd8bff54cc0","year":2022},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.145506Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:ec71a4e425e850abc40d782508c629ac06072117214d28493cf7c4d54e50d9f4","observation_id":"d9800eb6-da41-4672-bf06-c9b832da3a75","resolution":{"observed_at":"2026-08-07T15:07:19.533074Z","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":"2026-08-07T15:07:14.237477Z","title":"Subjective and Objective Quality Assessment of Multi-Attribute Retouched Face Images,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.237477Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:db7c6e9b63571f48b6188ba4d88faf36b8d9911caaf090af4bafe07f8024a329","observation_id":"4c43486a-ff09-486f-af05-fe7522723c02","resolution":{"observed_at":"2026-08-07T15:07:14.237477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05540","last_updated":"2024-09-09T12:00:17Z","snapshot_observed_at":"2026-07-06T19:12:27.820454Z","submitted_at":"2024-09-09T12:00:17Z","title":"Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild","version":1},"cited_work":{"arxiv_id":"2409.05540","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.05540","snapshot_observed_at":"2026-08-07T15:07:16.287480Z","title":"Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild","venue":"cs.CV","work_id":"29eae3af-480b-4cbe-b8ed-1cf0aa1b8e67","year":2024},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.305555Z"},"links":{"cited_paper":"/paper/2409.05540","citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:be164d43d348998dd21ff00b4c146e482cd29f9c1cd59dd40e2a6b153fd03981","observation_id":"07854c74-9eb1-4a34-a2ab-cb3385545f12","resolution":{"observed_at":"2026-08-07T15:07:16.341926Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-07T15:07:19.437148Z","title":"How realistic is photorealistic?,","venue":null,"work_id":"d125685a-a288-41c6-a638-1d88aede7a39","year":2005},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.375978Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:2d5f3fcac95d651cd9e58b7cf085f22e5b3c55b219673c8649b6999b592bd0d9","observation_id":"68f7e263-c6be-4da3-b225-b42fd8a7f5c5","resolution":{"observed_at":"2026-08-07T15:07:19.473538Z","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":"2026-08-07T15:07:19.279826Z","title":"Identifying computer graphics using HSV color model and statistical moments of characteristic functions,","venue":null,"work_id":"ef485aa0-235f-4203-bf26-ff126c14b18b","year":2007},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.473859Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:21be8c829f55b2d89d57e945de7373c564852d80514ca1ed6671e0428027b9b8","observation_id":"64c6375c-34dd-443d-aacf-b9b0eea92c9c","resolution":{"observed_at":"2026-08-07T15:07:19.338060Z","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":"2026-08-07T15:07:19.142319Z","title":"Physics-motivated features for distinguishing photographic images and computer graphics,","venue":null,"work_id":"ef0d5b88-41f1-4ffb-8826-a6ba7d949004","year":2005},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.531208Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:c193604e2637d6f887e8573e5583a0ea64aded3710e5490a740cff225988ece6","observation_id":"2530ad0d-9150-496b-a184-e6d86631b7e1","resolution":{"observed_at":"2026-08-07T15:07:19.192127Z","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":"1812.04948","last_updated":"2019-03-29T11:08:46Z","snapshot_observed_at":"2026-08-10T12:08:24.752628Z","submitted_at":"2018-12-12T13:59:43Z","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.04948","snapshot_observed_at":"2026-08-07T15:07:14.592599Z","title":"A Style-Based Generator Architecture for Generative Adversarial Net- works,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.592599Z"},"links":{"cited_paper":"/paper/1812.04948","citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:2bcf3f6e6797c56c1d37da0cac89f2015cf994a55d9ce97d384e0183f3af9e31","observation_id":"665b1f95-08dd-4d01-b90b-dfb332cc4bda","resolution":{"observed_at":"2026-08-07T15:07:14.592599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07397","last_updated":"2020-10-28T03:48:28Z","snapshot_observed_at":"2026-07-06T09:28:36.954658Z","submitted_at":"2020-06-12T18:15:55Z","title":"The DeepFake Detection Challenge (DFDC) Dataset","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07397","snapshot_observed_at":"2026-08-07T15:07:14.635601Z","title":"The deepfake detection challenge (dfdc) dataset,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.635601Z"},"links":{"cited_paper":"/paper/2006.07397","citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:bac25a3c6f82218aaebd965428e15d8b0e06c9176288a4ba37700db6abe6cf25","observation_id":"25f5932b-860a-4d1b-a653-4149790c854c","resolution":{"observed_at":"2026-08-07T15:07:14.635601Z","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":"2026-08-07T15:07:19.023311Z","title":"Synthetic faces high quality (sfhq) dataset,","venue":null,"work_id":"0c20545b-6a24-4b27-985f-ab6acaab27e0","year":2022},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.717702Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:eb5e5e4d675c7ff3cd755d541db33570809ec058fef4f6239c35f4a4f4094b4c","observation_id":"32702c53-51db-4d3d-b7e6-9031c66006ad","resolution":{"observed_at":"2026-08-07T15:07:19.086291Z","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":"2023.33065","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:07:16.169042Z","title":"Blind 3D-Synthesized Image Quality Measurement by Anal- ysis of Local and Global Statistical Properties,","venue":null,"work_id":"0625c23c-7db3-468c-a954-269d2c112760","year":2023},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.792555Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:2c66192b87d8d8c1a655734e70c5147e7cb2cf644d8160f0e58a59c2523f1241","observation_id":"e28b4fdf-564e-4de1-a9e7-5de344833f83","resolution":{"observed_at":"2026-08-07T15:07:16.204536Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"1809.11096","last_updated":"2019-02-25T21:32:06Z","snapshot_observed_at":"2026-07-06T07:04:57.275371Z","submitted_at":"2018-09-28T15:38:49Z","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.11096","snapshot_observed_at":"2026-08-07T15:07:14.854047Z","title":"Large Scale GAN Training for High Fidelity Natural Image Syn- thesis,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.854047Z"},"links":{"cited_paper":"/paper/1809.11096","citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:d52e9f6e2c647be75bdc2b1d5277ef31449ad9f1d92a6e2f836d3e59d9e7ae4a","observation_id":"034b7b38-c4a0-4808-b854-fca41925427a","resolution":{"observed_at":"2026-08-07T15:07:14.854047Z","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":"2026-08-07T15:07:18.869860Z","title":"An evaluation of deep learning- based computer generated image detection approaches,","venue":null,"work_id":"2fef6775-2fd5-448e-b5ec-b510201b063f","year":2019},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:14.942436Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:a81bf4164bd846da50aaf0a7edfc748e5b469e54d7a4edac6348055530ffeca7","observation_id":"718d58f2-cdbd-4d69-8b19-640be36e11e8","resolution":{"observed_at":"2026-08-07T15:07:18.935250Z","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":"2026-08-07T15:07:18.706561Z","title":"Exposing computer generated images by eye’s region classification via trans- fer learning of VGG19,","venue":null,"work_id":"35c465ed-a86f-4555-bd9f-bd1fa8a5d0cd","year":2017},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.004985Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:be9c0098ac3bb7cfb08c0f67b98ef878f9db5dfed2364319d4e860919079cfc7","observation_id":"3eacbc96-3f59-4506-91a4-8d06cbb6fc92","resolution":{"observed_at":"2026-08-07T15:07:18.794754Z","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":"2026-08-07T15:07:18.517289Z","title":"Distinguishing between natural and computer-generated images using convolutional neural networks,","venue":null,"work_id":"64d05e3d-3b1b-4a05-802a-f74d347c3bde","year":2018},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.066556Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:cf1a70a69fce393cfcb7de08cf21fb487fd4b2fe8918783ec5c704a66420f96d","observation_id":"fc025e76-f95b-4377-8c19-e0ab5225d9aa","resolution":{"observed_at":"2026-08-07T15:07:18.593951Z","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":"2026-08-07T15:07:18.329052Z","title":"CGNet: Detecting computer-generated images based on transfer learning with attention module,","venue":null,"work_id":"c6d22f14-28de-499e-ad0f-5249573ef551","year":2022},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.144829Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:8547a6565d5d92565deaf795bd2132215821c604a7dbce0948a7abf63eb4d8b3","observation_id":"7619677d-c323-4dcf-9132-9c4ae8980612","resolution":{"observed_at":"2026-08-07T15:07:18.430938Z","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":"2026-08-07T15:07:18.208735Z","title":"Detecting differences between pho- tographs and computer generated images,","venue":null,"work_id":"863ea3f5-760b-4ab2-af46-59a76fd6e426","year":2006},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.228276Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:37b5dfef5477ac3c156965f608a6b0ad815315714fe1354850232d01a16b888a","observation_id":"8994c3b0-8bf5-4a3f-bb43-ecbe2c6ca109","resolution":{"observed_at":"2026-08-07T15:07:18.289092Z","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":"2026-08-07T15:07:17.896610Z","title":"Digital image forensics for identifying com- puter generated and digital camera images,","venue":null,"work_id":"0d134249-35c7-4b39-86e2-0559d6c27448","year":2006},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.323741Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:6b2d3486bcf520201e78e65f472ef3f69daf8f50e25b82ff1a47a59b692fa9b1","observation_id":"22434554-500f-440e-8419-db92c805a488","resolution":{"observed_at":"2026-08-07T15:07:18.025792Z","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":"2026-08-07T15:07:17.409021Z","title":"Distinguishing computer graphics from photographic images using a multiresolution approach based on local binary patterns,","venue":null,"work_id":"8a1f7b92-3f51-4f4f-b66f-cb9663e85db4","year":2014},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.411646Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:05d89bac127fbafaf56bad23267b4b9d99a184a0b006324952a94576c8b2da1f","observation_id":"6805e4fe-431e-4e3e-a088-b58a370f5d40","resolution":{"observed_at":"2026-08-07T15:07:17.681835Z","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":"2026-08-07T15:07:17.265785Z","title":"Identification of natural images and computer- generated graphics based on statistical and textural features,","venue":null,"work_id":"76b98d7d-4595-4cd2-bba5-d07e2a7a87a7","year":2015},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.497500Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:13c32661d15d75a40a372c41a47e3f6673f0443b5e675c75800350c7a258ca49","observation_id":"d3be2eb3-dcc5-4f5d-8866-12206d4ae865","resolution":{"observed_at":"2026-08-07T15:07:17.310308Z","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":"2026-08-07T15:07:17.130016Z","title":"Distinguishing computer-generated images from pho- tographic images using two-stream convolutional neural network,","venue":null,"work_id":"f89e4727-b7a6-417a-9010-ec02ac718bcd","year":2021},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.562512Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:4d56ad06c15b9d1ae287f63d9db12cc3951efe7f06cc3abf0489c6e32f50d270","observation_id":"747f6ac6-cbdb-4461-9e96-659d60cc8ddb","resolution":{"observed_at":"2026-08-07T15:07:17.214310Z","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":"2026-08-07T15:07:17.037872Z","title":"Locally GAN-generated face detection based on an improved Xception,","venue":null,"work_id":"0fe52184-76b9-4bcb-a0b3-d0fd486a6a09","year":2021},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.633890Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:252041ee07bce96d5e2f1d54456b022a562016892646449d3f28c929b0fc7bb3","observation_id":"039d98f2-5f73-453d-b552-ecd20983cf4a","resolution":{"observed_at":"2026-08-07T15:07:17.081427Z","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":"2026-08-07T15:07:16.904280Z","title":"Detecting generated images by real images,","venue":null,"work_id":"b8040efa-ef67-4775-8449-e2a3aea8d6ed","year":2022},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.701562Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:07d2fa75e3bff65c4bf0d5ad8d88601079b28869e99405eaaaf740796b0f1efd","observation_id":"53491eb5-6014-4241-801c-d823f5f3bc55","resolution":{"observed_at":"2026-08-07T15:07:16.981946Z","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":"2026-08-07T15:07:16.686814Z","title":"Fake faces identification via convolutional neu- ral network,","venue":null,"work_id":"b8450b3c-3ce9-4a9a-831c-a84639870a3d","year":2018},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.771020Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:eb8826c74ac64e12522eb7ba905af0a382553ed1c08eb50b137d519301cc9035","observation_id":"fce082f5-acea-4dd6-8238-8c4f93fb7ce0","resolution":{"observed_at":"2026-08-07T15:07:16.733552Z","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":"2026-08-07T15:07:16.601804Z","title":"Detecting Computer-Generated Images by Using Only Real Images","venue":null,"work_id":"b09a6737-db04-4f3c-993a-d920b750512d","year":2024},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.843668Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:a77008c6ab09a97b8c5f1ea3c254a29b4727664d3c1d96876993048f987dbe96","observation_id":"97bef4a8-fda5-44b0-8165-d7503d814030","resolution":{"observed_at":"2026-08-07T15:07:16.649387Z","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":"2026-08-07T15:07:16.499085Z","title":"Detection of AI-Generated Synthetic Images with a Lightweight CNN","venue":null,"work_id":"177a2370-e762-4642-91bd-11ecb6013f8c","year":2024},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.891696Z"},"links":{"citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:6e5973b208036eeb684f7ab69f62ba0859fc4c68b43a4fe265de4ae96a20d46f","observation_id":"db79b93d-998e-43c4-8d87-86d3d9bb7d09","resolution":{"observed_at":"2026-08-07T15:07:16.565475Z","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":"2408.09371","last_updated":"2024-08-18T06:00:36Z","snapshot_observed_at":"2026-07-06T19:02:03.017798Z","submitted_at":"2024-08-18T06:00:36Z","title":"Detecting the Undetectable: Combining Kolmogorov-Arnold Networks and MLP for AI-Generated Image Detection","version":1},"cited_work":{"arxiv_id":"2408.09371","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.09371","snapshot_observed_at":"2026-08-07T15:07:16.003609Z","title":"Detecting the Undetectable: Combining Kolmogorov-Arnold Networks and MLP for AI-Generated Image Detection","venue":"cs.CV","work_id":"fac83d83-b103-402d-a84a-d16a6a28e87d","year":2024},"citing_paper":{"arxiv_id":"2505.16253","last_updated":"2025-05-22T05:43:40Z","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:15.939580Z"},"links":{"cited_paper":"/paper/2408.09371","citing_paper":"/paper/2505.16253"},"observation_digest":"sha256:0234c50d5a8df8370c4af505d4b031e380e5b349c6da30b482079efea8b7e0d3","observation_id":"e99f2d83-3fb4-4a45-9114-6fc19305bd0e","resolution":{"observed_at":"2026-08-07T15:07:16.037527Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2505.16253","last_updated":"2025-05-22T05:43:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T15:02:33.369779Z","submitted_at":"2025-05-22T05:43:40Z","title":"Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":21},"total_outbound_references":28},"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 12 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.16253."}