{"as_of":"2026-08-16T21:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ee2a95a5ad2f97150455341681de54b1bd4a4fabf7f9a447b1a6a9d8a83a23f9","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:19:05.428062Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T16:14:14.170230Z","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":"2026-05-11T09:06:00.789634Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"cited_work":{"arxiv_id":"2506.11371","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.11371","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv:2506.11371 (2025)","venue":null,"work_id":"4bd55499-a437-49eb-a7c7-606ae2744558","year":2025},"citing_paper":{"arxiv_id":"2604.11720","last_updated":"2026-04-13T16:56:48Z","snapshot_observed_at":"2026-08-16T13:22:34.813218Z","submitted_at":"2026-04-13T16:56:48Z","title":"On the Robustness of Watermarking for Autoregressive Image Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T16:14:14.170230Z"},"links":{"cited_paper":"/paper/2506.11371","citing_paper":"/paper/2604.11720"},"observation_digest":"sha256:e55b1a90ce6e7c2ac08735b881ecdc38dd82aa254a458cbe30d7decde324265a","observation_id":"30e302cf-8d94-4810-a189-9c54d087f3dd","resolution":{"observed_at":"2026-05-11T09:06:00.797620Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.11371/citation-record","integrity":"/paper/2506.11371/integrity","json":"/paper/2506.11371/citation-record.json","paper":"/paper/2506.11371"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:19:07.512002Z","title":null,"venue":null,"work_id":"a7f3f099-2b60-4363-871f-c65bdcdceb23","year":2022},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:00.616471Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:1cf1dd9f4c3db14f0d2ebda0d4b4be68dcda23f129e411adeb3118ccc633137f","observation_id":"5830fedc-f87d-4c83-82b4-90041986ca0f","resolution":{"observed_at":"2026-08-07T04:19:07.669702Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-07T04:19:00.777669Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:00.777669Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:1dda4676ddc5b90e1c5df77db6b4a2d71dbbf90c350fbb864e434839519dbfbf","observation_id":"e052cce3-dfc9-446d-aed4-1c099923b8dd","resolution":{"observed_at":"2026-08-07T04:19:00.777669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09194","last_updated":"2023-05-25T02:57:16Z","snapshot_observed_at":"2026-08-16T15:29:55.086910Z","submitted_at":"2023-05-25T02:57:16Z","title":"Undetectable Watermarks for Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09194","snapshot_observed_at":"2026-08-07T04:19:00.943875Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:00.943875Z"},"links":{"cited_paper":"/paper/2306.09194","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:d6e6094dccce7648d52763322bdc14a0d06b2d2b4a4958f1cceded7e5f84bd55","observation_id":"841a0dc8-0bf3-457c-95ff-fc8eca96c136","resolution":{"observed_at":"2026-08-07T04:19:00.943875Z","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":"2026-08-07T04:19:07.285957Z","title":null,"venue":null,"work_id":"c8dac922-df6b-46ac-a17e-1a5f5cd4382d","year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.077152Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:0ca962b0a34ffddaaae599be82a03fe034a56270831f135ce7da04292bd977b7","observation_id":"296085c4-9117-4e5c-83e8-ce988728e7e6","resolution":{"observed_at":"2026-08-07T04:19:07.372310Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:19:01.238660Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.238660Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:d0e15397e35afea4bec520c78822f8a3e5f9825f88e7787455b190e48e4af1c5","observation_id":"50f6104b-4197-4ede-8b0b-d35afbc12364","resolution":{"observed_at":"2026-08-07T04:19:01.238660Z","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":"2026-08-07T04:19:07.089435Z","title":null,"venue":null,"work_id":"d1fbbc9d-7fa7-4885-bff7-e0f186b2578f","year":2021},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.376173Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:8614e1f1f5333906bc680239b7d7724dd1dd7d1ccd4f6ca8581dba6a321ccc9e","observation_id":"844badd7-f855-4b79-a8ca-200c55461cb1","resolution":{"observed_at":"2026-08-07T04:19:07.145239Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:19:06.849476Z","title":null,"venue":null,"work_id":"00f09c70-fe16-418f-bdd6-d67eadce0578","year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.527734Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:b33b53b1b41fc6ed8aec57edc3010f3848f81f0c55781545b29aea34086b3725","observation_id":"61623ef2-7ce6-4fc8-81a0-ad1e66c1053a","resolution":{"observed_at":"2026-08-07T04:19:06.947115Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07369","last_updated":"2025-04-21T21:40:23Z","snapshot_observed_at":"2026-08-16T13:10:57.919782Z","submitted_at":"2024-10-09T18:33:06Z","title":"An Undetectable Watermark for Generative Image Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07369","snapshot_observed_at":"2026-08-07T04:19:01.651218Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.651218Z"},"links":{"cited_paper":"/paper/2410.07369","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:08ca1ce44e486d09a32655c09f6c419dee3f9d6e2b543c0d3646e8c8c1f5fcf3","observation_id":"b5e5c9bf-bca2-4988-98b8-697d37a11400","resolution":{"observed_at":"2026-08-07T04:19:01.651218Z","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":"2026-08-07T04:19:01.789680Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.789680Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:64906cfcb4e9ef4a7f89d1160249e84738a1a03191c18fd422a261ab212a5e72","observation_id":"fb6d530b-21c0-4403-a4fa-9ace52acc303","resolution":{"observed_at":"2026-08-07T04:19:01.789680Z","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":"2026-08-07T04:19:01.951347Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:01.951347Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:27eb8e722e9881fc1482fc68e68fdca17eb8800ee22751095254a3bd8bf785bd","observation_id":"f5807e59-7c93-4ec7-a827-5b13c74277fb","resolution":{"observed_at":"2026-08-07T04:19:01.951347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10669","last_updated":"2023-10-18T02:02:08Z","snapshot_observed_at":"2026-08-16T14:58:27.811000Z","submitted_at":"2023-09-22T12:46:38Z","title":"Unbiased Watermark for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10669","snapshot_observed_at":"2026-08-07T04:19:02.069273Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.069273Z"},"links":{"cited_paper":"/paper/2310.10669","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:26c2404c15693169b889b56baba4b14ec88f55ec6bfa4c0032e87d1e7fdf6643","observation_id":"f998304e-e3ca-437b-8f40-9ed188e951bb","resolution":{"observed_at":"2026-08-07T04:19:02.069273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.10226","last_updated":"2024-05-01T22:04:31Z","snapshot_observed_at":"2026-08-16T16:00:24.738354Z","submitted_at":"2023-01-24T18:52:59Z","title":"A Watermark for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.10226","snapshot_observed_at":"2026-08-07T04:19:02.150641Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.150641Z"},"links":{"cited_paper":"/paper/2301.10226","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:45fb697c39f3eec2007764b4d2337d7702b2148c20484a75726432a3eca2b77d","observation_id":"75be4442-5dcc-4d90-baa0-56100468aa28","resolution":{"observed_at":"2026-08-07T04:19:02.150641Z","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":"2026-08-07T04:19:02.287559Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.287559Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:332c64f3709cf3e09c48ac05820d28b9dcb3780a4a6d51b19bdadf0650ffd32a","observation_id":"526cb094-3553-4fc0-a652-2646f2ece5d0","resolution":{"observed_at":"2026-08-07T04:19:02.287559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15593","last_updated":"2024-06-06T04:53:25Z","snapshot_observed_at":"2026-08-16T15:12:29.041340Z","submitted_at":"2023-07-28T14:52:08Z","title":"Robust Distortion-free Watermarks for Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15593","snapshot_observed_at":"2026-08-07T04:19:02.381094Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.381094Z"},"links":{"cited_paper":"/paper/2307.15593","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:81ce1d8d8790b4e7eda0e79929f84a61bfbb7e866e50a207e8dbb569e7192552","observation_id":"4517af35-a311-45a5-a753-49030cbbfbf6","resolution":{"observed_at":"2026-08-07T04:19:02.381094Z","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":"2026-08-07T04:19:02.470684Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.470684Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:8e49a0433510875072915b07cf37b3f9a3c673ba199af30520f955d02f36c0af","observation_id":"603b0f76-7de0-4f69-88a2-549dff54fe3b","resolution":{"observed_at":"2026-08-07T04:19:02.470684Z","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":"2026-08-07T04:19:02.595757Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.595757Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:ae0ef15da9c36ac959f8eb395ece5434345c6e105cb3d00520914a6426076310","observation_id":"3e57b24d-9431-4bbb-b065-32448a6bc047","resolution":{"observed_at":"2026-08-07T04:19:02.595757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14604","last_updated":"2025-02-07T21:04:06Z","snapshot_observed_at":"2026-08-16T13:50:11.170537Z","submitted_at":"2024-05-23T14:17:29Z","title":"Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14604","snapshot_observed_at":"2026-08-07T04:19:02.712147Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.712147Z"},"links":{"cited_paper":"/paper/2405.14604","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:8bffef2ebdfe1d8b4783f77ef9557015485ae6f28f97c16980eb914bc2688cbf","observation_id":"0757ecd5-4e04-47fb-8d17-dfe36c370fc8","resolution":{"observed_at":"2026-08-07T04:19:02.712147Z","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":"2026-08-07T04:19:02.863626Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:02.863626Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:13c7c6c5dd3117c3cf67ee75ce071663310d926c221c3dbefc9330d56c431d8e","observation_id":"2370dc56-1937-44cd-9a31-c9ee0273f96b","resolution":{"observed_at":"2026-08-07T04:19:02.863626Z","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":"2026-08-07T04:19:03.051010Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.051010Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:44191480194e04039469f82cf8e7cccaa6ddfdfcbc2998bb49148e4bf9ce71f9","observation_id":"57823b47-969f-4739-8e05-b9da053250fa","resolution":{"observed_at":"2026-08-07T04:19:03.051010Z","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":"2026-08-07T04:19:03.189009Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.189009Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:a7371b366861b4fb008f1d4d9966cd0d4f25f5edb19042549ab0990205ba6d6c","observation_id":"cd48f684-d12a-48f0-b4a5-69ef4397c2ce","resolution":{"observed_at":"2026-08-07T04:19:03.189009Z","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":"2026-08-07T04:19:03.335947Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.335947Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:ebf73f8dee02cba3fbc16a4122f96203a10d54a26c97c7d44ae05afd04b91842","observation_id":"0c42b716-0fa3-48bb-8015-fe5a6ecafc45","resolution":{"observed_at":"2026-08-07T04:19:03.335947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-07T04:19:03.512806Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.512806Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:ce82cd97b572cfecfa8aa3397be220ff5bb82c228afd0998bb3d8fa698d93766","observation_id":"3538f335-aa58-4f7c-9af9-bdc66fe43993","resolution":{"observed_at":"2026-08-07T04:19:03.512806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05222","last_updated":"2024-05-08T02:46:43Z","snapshot_observed_at":"2026-08-06T07:46:37.713769Z","submitted_at":"2023-07-11T12:45:39Z","title":"Emu: Generative Pretraining in Multimodality","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05222","snapshot_observed_at":"2026-08-07T04:19:03.648199Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.648199Z"},"links":{"cited_paper":"/paper/2307.05222","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:4e21441f37649d774696e661cc95be8c9a524b6466f26a7339e262d7c99fc5a8","observation_id":"a6941399-7afc-4e85-8fea-18f5fc3e2678","resolution":{"observed_at":"2026-08-07T04:19:03.648199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09818","last_updated":"2025-03-21T05:54:00Z","snapshot_observed_at":"2026-08-12T11:54:14.007649Z","submitted_at":"2024-05-16T05:23:41Z","title":"Chameleon: Mixed-Modal Early-Fusion Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09818","snapshot_observed_at":"2026-08-07T04:19:03.820952Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.820952Z"},"links":{"cited_paper":"/paper/2405.09818","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:ffe4eff97966e5d917571614268b792429280a489aea47473f361e36b0aa3f11","observation_id":"125fd123-7c68-4fae-bfd0-e98e1f38a040","resolution":{"observed_at":"2026-08-07T04:19:03.820952Z","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":"2026-08-07T04:19:06.518086Z","title":null,"venue":null,"work_id":"f7aebd6b-32ac-4524-b0e9-41e0b53f28ef","year":2017},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:03.957536Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:662516af952de28a8412706b41e1c98e91b56fd8d29b273948463001ab0791d7","observation_id":"fa3c0c86-f703-424d-bca2-d44098d24ee3","resolution":{"observed_at":"2026-08-07T04:19:06.687375Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.18869","last_updated":"2024-09-27T16:06:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-27T16:06:11Z","title":"Emu3: Next-Token Prediction is All You Need","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.18869","snapshot_observed_at":"2026-08-07T04:19:04.137308Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.137308Z"},"links":{"cited_paper":"/paper/2409.18869","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:e4c41228805b5bf22ccc4815e70cad1ba6b8132e2abe6b0d1c136efc98371eaf","observation_id":"27753d20-1f2c-4c62-a2b7-5535e179682c","resolution":{"observed_at":"2026-08-07T04:19:04.137308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06942","last_updated":"2024-01-04T05:00:34Z","snapshot_observed_at":"2026-07-06T15:53:46.393481Z","submitted_at":"2023-07-13T17:58:32Z","title":"InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06942","snapshot_observed_at":"2026-08-07T04:19:04.292024Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.292024Z"},"links":{"cited_paper":"/paper/2307.06942","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:d910bb31699eb120d1b1aa51e40636bb946a28d0fb784eb8692422e44868b978","observation_id":"b53b07d8-dadc-49c1-b29b-1c4f81601bb7","resolution":{"observed_at":"2026-08-07T04:19:04.292024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20030","last_updated":"2023-07-04T03:52:06Z","snapshot_observed_at":"2026-08-16T15:27:50.585865Z","submitted_at":"2023-05-31T17:00:31Z","title":"Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.20030","snapshot_observed_at":"2026-08-07T04:19:04.399635Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.399635Z"},"links":{"cited_paper":"/paper/2305.20030","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:9352310bb709c44180fc31bcaf7ba414f5bec973693c3dde711262d8d135013c","observation_id":"9d92df29-2a95-4244-82f6-d97f3d9c1377","resolution":{"observed_at":"2026-08-07T04:19:04.399635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07710","last_updated":"2024-06-25T07:08:17Z","snapshot_observed_at":"2026-08-16T14:52:58.177757Z","submitted_at":"2023-10-11T17:57:35Z","title":"A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07710","snapshot_observed_at":"2026-08-07T04:19:04.535200Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.535200Z"},"links":{"cited_paper":"/paper/2310.07710","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:8cde905b75a2cbc7fff36aac227cb3132f50b111c36c9ef1211875aa119ff7fb","observation_id":"dd449817-9181-4be2-86d0-79b408e04569","resolution":{"observed_at":"2026-08-07T04:19:04.535200Z","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":"2026-08-07T04:19:06.247700Z","title":null,"venue":null,"work_id":"519e6dcf-389b-49e0-91df-735d39193945","year":2024},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.689607Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:97733d86b834b38dbc40fdb5f2b0c5ee8e58e0efa8edb867d6ac66a48c1f5c15","observation_id":"415330a7-f43d-4b78-80b9-806dbd301d0b","resolution":{"observed_at":"2026-08-07T04:19:06.369105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:19:05.977693Z","title":null,"venue":null,"work_id":"1a2bf544-dcdc-4f72-81d7-9423f0a3c706","year":2018},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.830191Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:bf0467ff0a007ca10cda978218941c0e4c0152ce3768df7f698a1353dbbd7089","observation_id":"9a78fab8-e4bb-428b-abdb-28a14272f375","resolution":{"observed_at":"2026-08-07T04:19:06.109021Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.17439","last_updated":"2023-10-13T04:50:04Z","snapshot_observed_at":"2026-08-16T15:19:50.368078Z","submitted_at":"2023-06-30T07:24:32Z","title":"Provable Robust Watermarking for AI-Generated Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.17439","snapshot_observed_at":"2026-08-07T04:19:04.984172Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:04.984172Z"},"links":{"cited_paper":"/paper/2306.17439","citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:3f5b4b135ad58807b3cb459fec93d3d1fffcfb4b2f004fc57ccdc396e543f365","observation_id":"1f0e044f-a459-4a82-ade2-3ba98518385e","resolution":{"observed_at":"2026-08-07T04:19:04.984172Z","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":"2026-08-07T04:19:05.738830Z","title":null,"venue":null,"work_id":"a6a860f7-b3ea-4c23-8bf3-c759e9e2f02b","year":2022},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:05.167341Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:bc538769f9b9b98ebdf7c4ce8142f8b306f3ef4bc21e8e1c5612f7383b5a441a","observation_id":"3c41d549-0cc8-4f63-8701-5df7af5e68e7","resolution":{"observed_at":"2026-08-07T04:19:05.821390Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-07T04:19:05.291205Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:05.291205Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:59f055be6ce00774ab7d3b0084d0cf584447dbfd1151beabfea7e38077987657","observation_id":"3111bc3e-6ece-4c1f-ba25-528c8536e58f","resolution":{"observed_at":"2026-08-07T04:19:05.291205Z","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":"2026-08-07T04:19:05.428062Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T04:19:05.428062Z"},"links":{"citing_paper":"/paper/2506.11371"},"observation_digest":"sha256:506bb52cf89bb8b7edbfef950df1866c412a9d922c29faade01c1b16f123835d","observation_id":"50afcd02-9227-42d8-8c7a-5f1994d76007","resolution":{"observed_at":"2026-08-07T04:19:05.428062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.11371","last_updated":"2025-06-13T00:15:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T07:48:03.303925Z","submitted_at":"2025-06-13T00:15:54Z","title":"A Watermark for Auto-Regressive Image Generation Models"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":35},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.11371."}