{"as_of":"2026-08-09T19:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f9ff1aa13306f72fc2a4e2499312e9092a771c09dce333a9f1667b24e8c0af01","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T10:54:31.366554Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T23:59:07.337827Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2507.10236","last_updated":"2026-05-15T17:35:28Z","snapshot_observed_at":"2026-07-06T21:56:49.263374Z","submitted_at":"2025-07-14T12:56:55Z","title":"Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T23:31:40.691896Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2507.10236"},"observation_digest":"sha256:b12371e3de4d6551c02e857d8c7a0cf117aca3e916d7fadeb1cde2f1f5774155","observation_id":"20fa8876-ca99-4d39-9d33-71cd9885a710","resolution":{"observed_at":"2026-05-21T23:34:26.632524Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2604.14570","last_updated":"2026-04-16T03:02:04Z","snapshot_observed_at":"2026-07-06T23:02:18.425249Z","submitted_at":"2026-04-16T03:02:04Z","title":"Deepfake Detection Generalization with Diffusion Noise","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T11:22:31.988852Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2604.14570"},"observation_digest":"sha256:430e9b525ffbd0ff6ec272a9bbec4a701f220aa908c6bd99c6572e9079160bd4","observation_id":"1d51f4d5-e142-4ff4-a370-0d4f01ebdd47","resolution":{"observed_at":"2026-05-10T11:25:19.565553Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2605.20787","last_updated":"2026-05-25T11:44:54Z","snapshot_observed_at":"2026-07-06T23:31:18.520630Z","submitted_at":"2026-05-20T06:32:55Z","title":"Findings of the Counter Turing Test: AI-Generated Image Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T05:43:20.457145Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2605.20787"},"observation_digest":"sha256:c89102ea6ab8b4dfd72539f78b4926442eae92ec6bd14d30e21c5fd92704c4b5","observation_id":"07068e94-74cc-49f3-a7b0-1b7ca127996a","resolution":{"observed_at":"2026-05-21T05:43:58.689775Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2605.20787","last_updated":"2026-05-25T11:44:54Z","snapshot_observed_at":"2026-07-06T23:31:18.520630Z","submitted_at":"2026-05-20T06:32:55Z","title":"Findings of the Counter Turing Test: AI-Generated Image Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-22T10:02:20.521421Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2605.20787"},"observation_digest":"sha256:3c7febf31a40a11d8f7fb5709e69e5d1a31abae556c073b39a27032d5823fd79","observation_id":"bc6e6069-072a-4e0b-9d5e-f22a3bc1f946","resolution":{"observed_at":"2026-05-22T10:04:47.235135Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2605.20787","last_updated":"2026-05-25T11:44:54Z","snapshot_observed_at":"2026-07-06T23:31:18.520630Z","submitted_at":"2026-05-20T06:32:55Z","title":"Findings of the Counter Turing Test: AI-Generated Image Detection","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T17:29:30.513227Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2605.20787"},"observation_digest":"sha256:a0f3a601b877480d3f5ef550590db1c6dcad2890f61423c9666de4e17cd9f5b9","observation_id":"22118147-2c75-42ef-8e8f-42d20238966e","resolution":{"observed_at":"2026-06-30T17:34:57.781822Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2605.27348","last_updated":"2026-05-27T04:58:33Z","snapshot_observed_at":"2026-08-07T23:02:18.275913Z","submitted_at":"2026-05-26T17:50:17Z","title":"When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T18:00:33.346957Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2605.27348"},"observation_digest":"sha256:c5db36953388be159464b066ab099fad33370d466c84530464cf85f33ab6aa36","observation_id":"0f4c2e5a-6cd6-4b9b-b219-b3473902a681","resolution":{"observed_at":"2026-06-29T18:03:47.979903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2606.18554","last_updated":"2026-06-17T00:08:35Z","snapshot_observed_at":"2026-08-06T14:23:49.960091Z","submitted_at":"2026-06-17T00:08:35Z","title":"Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T21:32:27.296146Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2606.18554"},"observation_digest":"sha256:210433cc5f44f0d6d194d12bff1a109b6cec40dc4c4a2e329ca3da455ffc5e2f","observation_id":"dc0618f1-4757-4d6c-a945-281b57d74863","resolution":{"observed_at":"2026-07-03T23:59:07.340047Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2606.19259","last_updated":"2026-07-26T10:39:04Z","snapshot_observed_at":"2026-08-02T10:54:29.254205Z","submitted_at":"2026-06-17T16:37:16Z","title":"TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T21:32:28.782685Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2606.19259"},"observation_digest":"sha256:87988d52260f4d03aac6f232dc1b249cb186a255986ab0fd2ba0b38d05e77c79","observation_id":"2dd54f11-7561-47bb-a73b-004d6fe602b7","resolution":{"observed_at":"2026-07-03T23:59:07.309359Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-08-02T10:54:31.366554Z","title":"Towards universal fake image detectors that generalize across generative models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19259","last_updated":"2026-07-26T10:39:04Z","snapshot_observed_at":"2026-08-02T10:54:29.254205Z","submitted_at":"2026-06-17T16:37:16Z","title":"TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T10:54:31.366554Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2606.19259"},"observation_digest":"sha256:9943eff1fa24b5d3f4d2e238d389c604135e7d4f61840fd1992993b2b5b4000a","observation_id":"75080abf-4380-4a8a-89f4-975049573611","resolution":{"observed_at":"2026-08-02T10:54:31.366554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":"2302.10174","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-07-03T23:59:07.337827Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":"0df3a9b4-f9c6-4aee-83ca-af6e1fceba6f","year":2024},"citing_paper":{"arxiv_id":"2606.28510","last_updated":"2026-06-26T18:05:08Z","snapshot_observed_at":"2026-08-07T22:06:21.947417Z","submitted_at":"2026-06-26T18:05:08Z","title":"Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T01:08:22.794058Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2606.28510"},"observation_digest":"sha256:2694f0b66a932a3df453858d2be970ff1200f4b968810189160d63a23c538dd8","observation_id":"4ed508f1-bafd-4f98-bef3-9e36424f8889","resolution":{"observed_at":"2026-07-01T15:45:48.506953Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10174","snapshot_observed_at":"2026-08-02T07:41:39.190072Z","title":"Towards universal fake image detectors that generalize across generative models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16283","last_updated":"2026-07-10T09:47:16Z","snapshot_observed_at":"2026-08-05T13:41:29.483241Z","submitted_at":"2026-07-10T09:47:16Z","title":"GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T07:41:39.190072Z"},"links":{"cited_paper":"/paper/2302.10174","citing_paper":"/paper/2607.16283"},"observation_digest":"sha256:48363bc277de604518d776d057b8816ff471bbea3bca85e924db18dfef0c6819","observation_id":"2c74660a-f68b-4461-8b97-760c89d81e01","resolution":{"observed_at":"2026-08-02T07:41:39.190072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2302.10174/citation-record","integrity":"/paper/2302.10174/integrity","json":"/paper/2302.10174/citation-record.json","paper":"/paper/2302.10174"},"outbound":[],"paper":{"arxiv_id":"2302.10174","last_updated":"2024-04-01T04:00:31Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T09:10:17.410802Z","submitted_at":"2023-02-20T18:59:04Z","title":"Towards Universal Fake Image Detectors that Generalize Across Generative Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2302.10174."}