{"as_of":"2026-08-14T00:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:29d90c127735282d46857e45862a017d40746987551b3bcd22a75f42d01f687d","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":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:54:33.859863Z","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":"2026-07-04T12:49:52.859276Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-12T13:54:33.859863Z","title":"Autoregressive models in vision: A sur- vey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15867","last_updated":"2025-08-01T16:25:54Z","snapshot_observed_at":"2026-08-13T21:48:18.714974Z","submitted_at":"2024-11-24T15:06:57Z","title":"PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T13:54:33.859863Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2411.15867"},"observation_digest":"sha256:b03c93c4a74efeb3ec71b51212f10a2ec22681dba2023885cf951aa695c68387","observation_id":"bce9d780-065b-4b7d-85bf-3a1fd0ee2013","resolution":{"observed_at":"2026-08-12T13:54:33.859863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-12T12:10:27.372712Z","title":"Autoregressive models in vision: A sur- vey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17440","last_updated":"2025-03-25T23:08:48Z","snapshot_observed_at":"2026-08-13T17:05:58.825361Z","submitted_at":"2024-11-26T13:58:24Z","title":"Identity-Preserving Text-to-Video Generation by Frequency Decomposition","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-12T12:10:27.372712Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2411.17440"},"observation_digest":"sha256:41f6eb594a4af72a56bb744caef5172cac61f09d01bcf7df9a1f585559df6a45","observation_id":"3b0035df-556a-42d0-a748-2c8e81ab871e","resolution":{"observed_at":"2026-08-12T12:10:27.372712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-11T19:29:21.205007Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06787","last_updated":"2024-12-10T14:09:22Z","snapshot_observed_at":"2026-08-12T00:06:21.223993Z","submitted_at":"2024-12-09T18:59:56Z","title":"[MASK] is All You Need","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T19:29:21.205007Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2412.06787"},"observation_digest":"sha256:615ae92d5ee52a3749aab03bc898703c8d0e48c7863d2b01255c5d6601dabdae","observation_id":"ffca2200-517f-416f-a903-5e3ab4cda93e","resolution":{"observed_at":"2026-08-11T19:29:21.205007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-07T12:06:23.551098Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03191","last_updated":"2025-05-31T11:02:24Z","snapshot_observed_at":"2026-08-08T02:50:50.296059Z","submitted_at":"2025-05-31T11:02:24Z","title":"Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:23.551098Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2506.03191"},"observation_digest":"sha256:40b6c2e5e2f5a322867a6febbe91bd29d257b6b55c8fb1dcf17093fc45a5818b","observation_id":"b9586c45-5905-4b34-b0da-3be87381ae11","resolution":{"observed_at":"2026-08-07T12:06:23.551098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2506.18601","last_updated":"2026-04-07T16:31:10Z","snapshot_observed_at":"2026-08-13T14:43:35.991659Z","submitted_at":"2025-06-23T13:03:42Z","title":"BulletGen: Improving 4D Reconstruction with Bullet-Time Generation","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-19T08:02:14.123151Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2506.18601"},"observation_digest":"sha256:92f8b3d785724835c7da8eb069de157727d1b5fa4f11dacf71373f1f2d253b56","observation_id":"78fdd273-787d-4a46-bdf7-d02c1498ef5f","resolution":{"observed_at":"2026-05-19T08:03:01.094244Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-06T21:31:04.806091Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.24044","last_updated":"2025-06-30T16:50:02Z","snapshot_observed_at":"2026-08-12T19:26:12.850812Z","submitted_at":"2025-06-30T16:50:02Z","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","version":1},"reference_index":137,"source":"pdf_text","source_observed_at":"2026-08-06T21:31:04.806091Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2506.24044"},"observation_digest":"sha256:de02997b971c6f501ac2b87372a4ce64f5fa4de6ab74a3fe9fea9bad3333262d","observation_id":"5b25831e-5295-43d6-83c5-bfc7c54cf5a3","resolution":{"observed_at":"2026-08-06T21:31:04.806091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-05T21:18:49.044177Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09016","last_updated":"2025-09-10T05:08:47Z","snapshot_observed_at":"2026-08-09T06:48:43.608452Z","submitted_at":"2025-08-12T15:30:44Z","title":"A Survey on Training-free Alignment of Large Language Models","version":4},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-05T21:18:49.044177Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2508.09016"},"observation_digest":"sha256:d0ba4c330b9d50af3979418cb5e46bc0b80d6c2ae534f3082fb2a65239ad92e1","observation_id":"b0b0ce77-cd97-4ce9-b230-1575e9c3cc68","resolution":{"observed_at":"2026-08-05T21:18:49.044177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-05T13:00:48.189650Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01071","last_updated":"2025-09-01T02:24:34Z","snapshot_observed_at":"2026-08-12T19:48:15.336589Z","submitted_at":"2025-09-01T02:24:34Z","title":"A Unified Low-level Foundation Model for Enhancing Pathology Image Quality","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T13:00:48.189650Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2509.01071"},"observation_digest":"sha256:4230a67759b25493755ee8b3b33e602683cd708d666c39fc4754060b4ff457f1","observation_id":"e5ef6492-9158-4167-bb9e-38560576de78","resolution":{"observed_at":"2026-08-05T13:00:48.189650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2511.08416","last_updated":"2026-05-07T17:16:30Z","snapshot_observed_at":"2026-08-12T13:11:54.990270Z","submitted_at":"2025-11-11T16:27:43Z","title":"Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-17T23:40:01.988138Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2511.08416"},"observation_digest":"sha256:a671b418d81865e239ead2a1e34d4edfafac56f34b19ceb8261fcc98ccb8cc00","observation_id":"b63d9169-def5-4af6-ab4a-891d9b6a018c","resolution":{"observed_at":"2026-05-17T23:40:31.101868Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2605.00814","last_updated":"2026-05-08T16:52:48Z","snapshot_observed_at":"2026-08-13T11:26:37.424755Z","submitted_at":"2026-05-01T17:54:37Z","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-09T18:53:06.494640Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2605.00814"},"observation_digest":"sha256:23cea30e4964aefd07e4eaf8125f1b21c14b2f844bd2fd59c955fc7b2632b309","observation_id":"32756b07-7c5a-4a08-8075-2cd47f5efb29","resolution":{"observed_at":"2026-05-11T16:01:22.428411Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2605.00814","last_updated":"2026-05-08T16:52:48Z","snapshot_observed_at":"2026-08-13T11:26:37.424755Z","submitted_at":"2026-05-01T17:54:37Z","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-11T01:49:15.136031Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2605.00814"},"observation_digest":"sha256:84be58d273317393ff5f12413764d1242db891cb350e58066488662bdc52d6d5","observation_id":"feacafef-7fb4-4d97-94b4-479f6d129e74","resolution":{"observed_at":"2026-05-11T01:50:51.575223Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2606.01543","last_updated":"2026-06-01T01:43:48Z","snapshot_observed_at":"2026-08-12T14:31:04.552431Z","submitted_at":"2026-06-01T01:43:48Z","title":"PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-28T15:50:54.950899Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2606.01543"},"observation_digest":"sha256:39becc0f68aa1041285c6a7551f9dd43764fb5016f54d59d7fc117a21b8f9bd6","observation_id":"a077f488-522c-4d11-a33e-fa4372dce36e","resolution":{"observed_at":"2026-07-01T22:06:15.894857Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2606.15015","last_updated":"2026-06-18T06:53:24Z","snapshot_observed_at":"2026-07-06T23:52:28.557859Z","submitted_at":"2026-06-12T23:24:41Z","title":"NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T04:25:27.067362Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2606.15015"},"observation_digest":"sha256:3e7cf3d80b89d3fe8b9b8ac81c028193d934859bb3dcdb0e141485c1188bf673","observation_id":"23c1441d-9ebf-42aa-9d12-905d76aafc44","resolution":{"observed_at":"2026-07-03T17:18:43.309763Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":"2411.05902","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-07-04T12:49:52.859276Z","title":"Autoregressive models in vision: A survey","venue":null,"work_id":"e085dd0e-0753-4b2c-936c-15a5716ae909","year":2024},"citing_paper":{"arxiv_id":"2606.27147","last_updated":"2026-06-25T15:18:31Z","snapshot_observed_at":"2026-07-07T00:01:24.919835Z","submitted_at":"2026-06-25T15:18:31Z","title":"Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T05:51:01.446139Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2606.27147"},"observation_digest":"sha256:c8a85006efac841d9d689b1ca8ab687466bc6dd20f94d21928f7b9b4d53bb848","observation_id":"4e4dd0b6-d32f-4088-9f05-e56e3726c784","resolution":{"observed_at":"2026-07-04T12:49:52.860606Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05902","snapshot_observed_at":"2026-08-10T16:51:18.564403Z","title":"arXiv preprint arXiv:2411.05902 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07006","last_updated":"2026-08-07T09:20:40Z","snapshot_observed_at":"2026-08-12T23:11:40.851062Z","submitted_at":"2026-08-07T09:20:40Z","title":"Does More Retrieved Evidence Help Visual Retrieval-Augmented Generation with Diffusion Language Models?","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T16:51:18.564403Z"},"links":{"cited_paper":"/paper/2411.05902","citing_paper":"/paper/2608.07006"},"observation_digest":"sha256:4f86a958cfc0347a218c74d95be85cd1491e0a5447ebe27edb2b55cee1892c8f","observation_id":"76e2d6b2-bba3-4df6-8425-cba8a7dc73e6","resolution":{"observed_at":"2026-08-10T16:51:18.564403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.05902/citation-record","integrity":"/paper/2411.05902/integrity","json":"/paper/2411.05902/citation-record.json","paper":"/paper/2411.05902"},"outbound":[],"paper":{"arxiv_id":"2411.05902","last_updated":"2025-05-31T13:35:55Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T22:04:38.253152Z","submitted_at":"2024-11-08T17:15:12Z","title":"Autoregressive Models in Vision: A Survey"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.05902."}