{"as_of":"2026-08-02T02:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d781d6070087762f54c9b98188ec34a04854f45b7a29537f3ec44581898604d","coverage":[{"denominator":82,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":82,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T18:20:02.559108Z","state":"measured"},{"denominator":83,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":83,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-01T06:32:01.292127+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":"2026-07-30T21:38:08.611674Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.06777","snapshot_observed_at":"2026-07-30T21:38:08.611674Z","title":"Walk the talk: Bridging the reasoning-action gap for thinking with images via multimodal agentic policy optimization.arXivpreprintarXiv:2604.06777, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26769","last_updated":"2026-07-29T11:10:34Z","snapshot_observed_at":"2026-08-01T23:31:04.069748Z","submitted_at":"2026-07-29T11:10:34Z","title":"See2Think: Do Multimodal Models Really Use Intermediate Visual States?","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-30T21:38:08.611674Z"},"links":{"cited_paper":"/paper/2604.06777","citing_paper":"/paper/2607.26769"},"observation_digest":"sha256:99c03def1a3bcdcac74e21c7207cf9a847d40cb94bc438289e15819fe7f640e4","observation_id":"9b906d49-9f1c-4e96-80b6-e2f12fa6e915","resolution":{"observed_at":"2026-07-30T21:38:08.611674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.06777/citation-record","integrity":"/paper/2604.06777/integrity","json":"/paper/2604.06777/citation-record.json","paper":"/paper/2604.06777"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2502.13923","doi":"10.48550/arxiv.2502.13923","metadata_source":"pith","pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-07-11T01:17:45.013705Z","title":"Qwen2.5-VL Technical Report","venue":"cs.CV","work_id":"69dffacb-bfe8-442d-be86-48624c60426f","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:c2a3510cdc7fe5d977b93434f62f4347e638f9a6584650f0e59b8e6c6f5e3b9d","observation_id":"0824279e-b1b2-48f0-90fc-9e29c3eb427d","resolution":{"observed_at":"2026-05-11T00:45:50.219986Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07062","last_updated":"2025-05-11T17:28:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-11T17:28:30Z","title":"Seed1.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2505.07062","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.07062","snapshot_observed_at":"2026-07-08T16:15:06.198778Z","title":"Seed1.5-VL Technical Report","venue":"cs.CV","work_id":"0e8e025f-ca1e-49cc-aee2-33f3a0201f3c","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2505.07062","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:c817c1d5651e96b9f26be30e8f60519c10dbaa57616e31494cd3e27025e1884c","observation_id":"51bd245e-7b26-474a-af68-f51e37231b67","resolution":{"observed_at":"2026-05-11T05:26:06.820639Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Visual sketchpad: Sketching as a visual chain of thought for multimodal language models","venue":null,"work_id":"92024f07-ab46-4cf8-9320-b7b7f27b614b","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2ea293a70d262bb570c9a38d9a09f3f5ecce2715b54fba2688b59a1ebbf01eed","observation_id":"d4849641-f7b0-4652-aea1-879283ec4a98","resolution":{"observed_at":"2026-05-17T05:14:05.448632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-07-06T13:02:30.821172Z","title":"Thinking with images.https://openai.com/index/thinking-with-images/","venue":null,"work_id":"91261568-e2a7-412c-bb6b-c3761d5e97a3","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:c010a88339bba3bb7fd8f34bbf527b9e39d564016613ef4c53650127a2dff626","observation_id":"57061bdd-2297-40f8-8564-6eed3fef0bba","resolution":{"observed_at":"2026-05-17T05:14:05.451898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.14362","last_updated":"2026-03-01T04:59:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-20T13:48:11Z","title":"DeepEyes: Incentivizing \"Thinking with Images\" via Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2505.14362","doi":"10.48550/arxiv.2505.14362","metadata_source":"pith","pith_arxiv_id":"2505.14362","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"DeepEyes: Incentivizing \"Thinking with Images\" via Reinforcement Learning","venue":"cs.CV","work_id":"5f6cf57b-2407-4127-b39c-d8a61494e474","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2505.14362","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:17c4fa501d303838661c6daf04fc4dd1234ebff3acbb250c201627f113ed8729","observation_id":"c76b4e67-8fd3-4a5c-a447-1bf63fb47abe","resolution":{"observed_at":"2026-05-11T14:42:57.181531Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.11630","last_updated":"2025-08-15T17:59:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-15T17:59:49Z","title":"Thyme: Think Beyond Images","version":1},"cited_work":{"arxiv_id":"2508.11630","doi":"10.48550/arxiv.2508.11630","metadata_source":"pith","pith_arxiv_id":"2508.11630","snapshot_observed_at":"2026-07-11T03:17:52.050556Z","title":"Thyme: Think Beyond Images","venue":"cs.CV","work_id":"f91f31cb-6ce5-43a8-b71e-9fc90a2b4160","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2508.11630","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:304e073adb7fc7d573f334d7e5fd75bbbad5aac17cbde8288d0a6f1d757f872c","observation_id":"2734c21c-f751-4c00-b0be-0b6995e451fe","resolution":{"observed_at":"2026-05-15T00:33:29.495992Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.07969","last_updated":"2025-09-09T17:54:21Z","snapshot_observed_at":"2026-07-30T05:21:39.737665Z","submitted_at":"2025-09-09T17:54:21Z","title":"Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search","version":1},"cited_work":{"arxiv_id":"2509.07969","doi":"10.48550/arxiv.2509.07969","metadata_source":"pith","pith_arxiv_id":"2509.07969","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search","venue":"cs.CV","work_id":"8d8763c6-6201-4243-9dab-975ba02a78db","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2509.07969","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:91de054012a360a5e3f81be3007ffe5a2df6373238f44b8f196e5cb06bda5d2b","observation_id":"5faa6fd7-50f9-480d-be80-305e691693eb","resolution":{"observed_at":"2026-05-18T01:17:55.768539Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.17306","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T19:30:06.778872Z","title":"Deep but reliable: Advancing multi-turn reasoning for thinking with images","venue":null,"work_id":"7be57776-e33e-4157-9699-3bce9680f0a8","year":2026},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:fce94374712b4c5ecf436cec20b7a3b343742b948c7e1926b391ecaa7c20cf5b","observation_id":"0a36ce3a-39eb-4ed4-a0ae-01d8473eebaf","resolution":{"observed_at":"2026-05-11T00:45:50.046372Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Llavanext: Improved reasoning, ocr, and world knowledge.https://llava-vl.github.io/blog/ 2024-01-30-llava-next/","venue":null,"work_id":"6ff3bd6b-4033-41c3-8b74-2796d63884f5","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:d80cdba7eed1f9ebf43360f538c0d6a330f6ead8d516af5ff9bd560723b825eb","observation_id":"91322220-7493-4638-8c19-141e56fe2a83","resolution":{"observed_at":"2026-05-17T05:14:05.542218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10479","last_updated":"2025-04-19T03:47:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-14T17:59:25Z","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","version":3},"cited_work":{"arxiv_id":"2504.10479","doi":"10.48550/arxiv.2504.10479","metadata_source":"pith","pith_arxiv_id":"2504.10479","snapshot_observed_at":"2026-07-11T03:17:51.831519Z","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","venue":"cs.CV","work_id":"fe8637aa-12bc-4434-8d36-9f57b5eebcbe","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2504.10479","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:229a23646d2d82610f8081144371c0f00a72142f988327f9f1a0e8209f530887","observation_id":"99136b9d-790d-456a-8fd8-33e6f24f0326","resolution":{"observed_at":"2026-05-11T00:45:50.049454Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-05-20T07:54:09.017512+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T07:54:09.017512+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.01949","last_updated":"2025-07-02T17:57:28Z","snapshot_observed_at":"2026-07-06T21:51:14.737439Z","submitted_at":"2025-07-02T17:57:28Z","title":"Kwai Keye-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2507.01949","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.01949","snapshot_observed_at":"2026-07-08T06:34:41.887069Z","title":"Kwai keye-vl technical report","venue":"cs.CV","work_id":"fed210bf-996d-4575-8d81-8a68e02c9d03","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.01949","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:d03d807c57cee73836cf04640083b392be63325fb11a407b63d8778567a697e7","observation_id":"14d5b53b-7dab-4662-a12b-6e333a1b4f5e","resolution":{"observed_at":"2026-05-11T00:45:50.095758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.11737","last_updated":"2025-08-15T17:01:08Z","snapshot_observed_at":"2026-07-06T22:13:37.150049Z","submitted_at":"2025-08-15T17:01:08Z","title":"Ovis2.5 Technical Report","version":1},"cited_work":{"arxiv_id":"2508.11737","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.11737","snapshot_observed_at":"2026-07-02T22:27:25.902699Z","title":"Ovis2.5 Technical Report","venue":"cs.CV","work_id":"83cd504b-a082-4df2-8bff-919343fc7d99","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2508.11737","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2d9cbf21c532524b1ba7db4ebb9934b5bc498965851bf6d19148ce62f826f8ff","observation_id":"b602e8d3-fff2-446a-bea0-0b11e78b8181","resolution":{"observed_at":"2026-05-15T20:30:17.288454Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-07-10T01:56:41.215814Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"e75cd01d-f91f-4fd9-a87d-a647d354b34e","year":2021},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:46d401f5178207c1f0820c7ff4db58571bd6530bd66cddbcb80e0fa8828895dc","observation_id":"9c676ea5-6e55-4fa4-b1ba-e95346b6a391","resolution":{"observed_at":"2026-05-17T05:14:05.535839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation","venue":null,"work_id":"502040b9-6b03-488f-b8b0-8335f4e70d35","year":2022},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:f4eb4ed797162cfa4c0da29e4299f83d65bcd40bc035e1c4531b293e42537da8","observation_id":"74bfbb62-cd82-4e0c-a785-3622ec31e4ba","resolution":{"observed_at":"2026-05-17T05:14:05.539324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":"2d5737c3-1436-483e-9073-aec7a786b229","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:099ee3957eba5d2e775f6cbe636fc0e41ae4ef8e0d5fc047afc41f438e5fd3d3","observation_id":"ed505a88-b6fd-424b-ae49-9b8d9cf4d93c","resolution":{"observed_at":"2026-05-17T05:14:05.557477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Sigmoid loss for language image pre- training","venue":null,"work_id":"3ca25944-f661-4f5c-8f54-5f692f05cfef","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:34609c7cce02173edae428872cc8193aecd51fb2198376eaebdca2a477534a1c","observation_id":"aef8e27e-8660-4c24-a180-2b865840a4e7","resolution":{"observed_at":"2026-05-17T05:14:05.554326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Show and tell: A neural image caption generator","venue":null,"work_id":"fa807333-1761-457c-b864-cb7ea252aa24","year":2015},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:01b7e879eb9b68c50d67669195249ec2e53df1a78c0c97a85499579ccd9f3884","observation_id":"7e46cd40-1d3d-4923-ae93-887f65da2b20","resolution":{"observed_at":"2026-05-17T05:14:05.517695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Show, attend and tell: Neural image caption generation with visual attention","venue":null,"work_id":"7bbf054f-4e3d-45bc-b485-d367937f7e6b","year":2048},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:198f196812849d2c7b77334b013d7768d2a34a64f56ece46c7a03eebff0134b3","observation_id":"24f1d174-58b8-41e1-8930-5bd8892a1e65","resolution":{"observed_at":"2026-05-17T05:14:05.486859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Flamingo: a visual language model for few-shot learning","venue":null,"work_id":"39fcbd86-db14-4691-8094-da1b75745e68","year":2022},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:e2ceab368a835e9fd4d82d3e5cd473add7d7d031b33ca9461e79e18adcc8fb68","observation_id":"1affeafd-4778-41de-8ea4-492c579c9f8c","resolution":{"observed_at":"2026-05-17T05:14:05.499234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Visual instruction tuning","venue":null,"work_id":"8fb89518-d1f9-494e-8efa-77f20d19e5bb","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:ad82b0d5afeb521869fb9282ad2861554fe3043300a42cfc7fbd8a4584281efb","observation_id":"e592f24f-5b3f-44e7-bd48-d6409248ea92","resolution":{"observed_at":"2026-05-17T05:14:05.512973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Language models are few-shot learners","venue":null,"work_id":"7170c88e-e527-44d1-a5b2-83ab0eb8ec87","year":1901},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:6f4f0a69491b68c064aa950b9199506c56072fb41caa2321a561bed0dc9e59c6","observation_id":"3e6fb234-22c5-4528-ab7b-002c0213761a","resolution":{"observed_at":"2026-05-17T05:14:05.551624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":"2302.13971","doi":"10.48550/arxiv.2302.13971","metadata_source":"pith","pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-07-11T03:47:48.508181Z","title":"LLaMA: Open and Efficient Foundation Language Models","venue":"cs.CL","work_id":"c018fc23-6f3f-4035-9d02-28a2173b2b9d","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:d4fafc9d48fbf9acebda2c9536d2895907976f552a37eb20db0b02dcffb48fb0","observation_id":"1aad9eaf-692c-4b6c-9d23-69756211b4d7","resolution":{"observed_at":"2026-05-11T00:45:50.208622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T11:08:05.851253+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T11:08:05.851253+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T11:08:05.851253+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":"7f07b061-0854-43f5-a067-d5781e95d2ef","year":2022},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:0f7de90182a1846511a3194ce3207dc9cafc9ed4a39a27dba71a2b104715d83b","observation_id":"e885d802-26b6-456e-bc1a-5c0a1868753f","resolution":{"observed_at":"2026-05-17T05:14:05.458674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Improved baselines with visual instruction tuning","venue":null,"work_id":"1191d1e0-5e80-4225-a064-e1c04d70e44d","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2ce8cf202a13f190109827bdafe537de3bfce09809644832d74000cc94c46101","observation_id":"5a98bd98-33e3-4111-8a37-9cf928554a1f","resolution":{"observed_at":"2026-05-17T05:14:05.528701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, page 220101","venue":null,"work_id":"08c80ff0-8aba-4ad8-9e05-6bf9c3d3b939","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:313f0374e47780413045bd10c0c2366edf1daa12d239b601803d3c2a4249bc60","observation_id":"a0cfa46d-cecd-4c59-b462-3ed711aa4c48","resolution":{"observed_at":"2026-05-17T05:14:05.548450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-07-07T11:03:40.474471Z","title":"Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond","venue":null,"work_id":"b5c6eee0-36d1-4d4a-8258-f4ef8294b341","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:66cc3ac1e9337618900fecd7d7cf4f7027c06eb93eab7b5f29516483b08d3abc","observation_id":"f859988a-690c-41bb-97c1-c087a1441a09","resolution":{"observed_at":"2026-05-17T05:14:05.545536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":"2409.12191","doi":"10.48550/arxiv.2409.12191","metadata_source":"pith","pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-07-11T01:17:42.597062Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","venue":"cs.CV","work_id":"8abcfe4f-e0fb-44b7-9123-448fac95f90a","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:8b108dac1b78792c7c341c89e8f4e3023331613f0985a397e33f4cc8d1a7bbcd","observation_id":"9c2bf4f9-43de-4769-aff3-12657367f6ae","resolution":{"observed_at":"2026-05-11T00:45:50.212455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-07-11T02:19:33.884263+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T02:19:33.884263+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":"2511.21631","doi":"10.1016/j.neunet.2025.107777","metadata_source":"pith","pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3-VL Technical Report","venue":"cs.CV","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2ea4b11517da1ce2d3d1357a1cdb3a719af711a197cf28624348c2a1ad8b8527","observation_id":"e937d26b-8bb0-4fb0-b115-b42e3001aba0","resolution":{"observed_at":"2026-05-11T00:45:50.200508Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks","venue":null,"work_id":"903f81f4-d487-4483-a96d-ca5a5c1a1fd9","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:8467272c14a1c943dd5be62c0283f93d2f3897658ba85ae18153f4cb036dbcb8","observation_id":"dc01909e-d858-4ee6-975c-c22717e2873b","resolution":{"observed_at":"2026-05-17T05:14:05.462568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05271","last_updated":"2025-09-26T12:52:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-06T18:57:08Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","version":5},"cited_work":{"arxiv_id":"2412.05271","doi":"10.48550/arxiv.2412.05271","metadata_source":"pith","pith_arxiv_id":"2412.05271","snapshot_observed_at":"2026-07-11T01:17:44.298728Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","venue":"cs.CV","work_id":"ee70bdc8-4656-4849-ada7-ce42a2278d70","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2412.05271","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:356f1b0f49e5072aa22b585ad2d093e9ee22cd1f20325722e38ddf69818984e4","observation_id":"dbb5e3f9-8286-4f06-a8c7-c91cfe99e2a7","resolution":{"observed_at":"2026-05-11T00:45:50.204490Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-07-11T02:19:07.858539+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T02:19:07.858539+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18265","last_updated":"2025-08-27T14:39:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-25T17:58:17Z","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","version":2},"cited_work":{"arxiv_id":"2508.18265","doi":"10.48550/arxiv.2508.18265","metadata_source":"pith","pith_arxiv_id":"2508.18265","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","venue":"cs.CV","work_id":"b8f5e260-fff5-444e-bcf5-2c42cfefd83d","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2508.18265","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:ab814a05c2c919f2e812f35e85b30e0ef85c61e3b9dc67eb91099dd78cfc76d1","observation_id":"ef8d8350-e08d-4672-ad60-e45d15abe2c8","resolution":{"observed_at":"2026-05-11T00:45:50.062623Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20797","last_updated":"2024-06-17T17:51:50Z","snapshot_observed_at":"2026-07-06T18:23:15.098065Z","submitted_at":"2024-05-31T13:59:18Z","title":"Ovis: Structural Embedding Alignment for Multimodal Large Language Model","version":2},"cited_work":{"arxiv_id":"2405.20797","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.20797","snapshot_observed_at":"2026-07-04T19:50:10.268440Z","title":"Ovis: Structural embedding alignment for multimodal large language model","venue":null,"work_id":"6f4025f6-a13c-4549-b0dc-8f2bb5a5a954","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2405.20797","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:ed146bba285fb8bc20daf12a0d1e991b223380edef0bcdbe9759eb3ada7c3fa3","observation_id":"c5a2c74d-25d1-474d-85cf-87a7b22718e4","resolution":{"observed_at":"2026-05-11T00:45:50.076778Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03326","last_updated":"2024-10-26T16:35:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:59:44Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","version":3},"cited_work":{"arxiv_id":"2408.03326","doi":"10.48550/arxiv.2408.03326","metadata_source":"pith","pith_arxiv_id":"2408.03326","snapshot_observed_at":"2026-07-10T13:27:05.574543Z","title":"LLaVA-OneVision: Easy Visual Task Transfer","venue":"cs.CV","work_id":"f5f2452b-f2a9-49ac-b38d-c76e18cdfe49","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2408.03326","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:7bbb75feee679a7e066fe803fd23fe7d9053809eaed2c8bb3377776d10b120f7","observation_id":"749cd877-3525-4518-b60b-54876c5b3f08","resolution":{"observed_at":"2026-05-11T00:45:50.192737Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00923","last_updated":"2024-05-20T06:43:48Z","snapshot_observed_at":"2026-07-06T14:47:34.480641Z","submitted_at":"2023-02-02T07:51:19Z","title":"Multimodal Chain-of-Thought Reasoning in Language Models","version":5},"cited_work":{"arxiv_id":"2302.00923","doi":"10.48550/arxiv.2302.00923","metadata_source":"pith","pith_arxiv_id":"2302.00923","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Multimodal Chain-of-Thought Reasoning in Language Models","venue":"cs.CL","work_id":"cf983328-0c5e-4840-8f51-2b24cf4b21ee","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2302.00923","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:0010f88856b9e5f6af53055a5b1b877ef091f89c99b9a6adf0a0985584960e7b","observation_id":"d3cff9b5-13fd-4e3f-a775-4f383422ced1","resolution":{"observed_at":"2026-05-12T18:12:27.664923Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9b7d010b-2e32-4335-be79-3959b7d41b7f","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:243dad0e91ffc2cddf076da14dbff80e97ec7272510c9666e9e9fe0ccabc81e9","observation_id":"eff8e9f7-7997-4900-91e8-1a4f2be97088","resolution":{"observed_at":"2026-05-17T05:14:05.531990Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.19094","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T16:49:57.216393Z","title":"Satori-r1: Incentivizing multimodal reasoning through explicit visual anchoring","venue":null,"work_id":"386d4dbe-0f7f-41f7-96ba-86b90c02cba7","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:f15411f960096761bcbe009284c096b8aea8f6e57dacf93cc64be6585c7451f1","observation_id":"b6ecd65e-7569-467c-8290-ccb324a1b228","resolution":{"observed_at":"2026-05-11T00:45:50.180651Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02255","last_updated":"2024-01-21T03:47:06Z","snapshot_observed_at":"2026-07-06T16:27:15.027202Z","submitted_at":"2023-10-03T17:57:24Z","title":"MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts","version":3},"cited_work":{"arxiv_id":"2310.02255","doi":"10.1109/cvpr52734.2025.01245","metadata_source":"pith","pith_arxiv_id":"2310.02255","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts","venue":"cs.CV","work_id":"e22c3789-9e71-4242-b6ea-3e60e06e2b66","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2310.02255","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:df623ea36bd583db47469ffbc0b969527ea4bc301f58c12b2521d6b0c907f89e","observation_id":"fd9edc39-c727-4ea7-9be8-a6c37f628a02","resolution":{"observed_at":"2026-05-11T01:30:15.750849Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Toolformer: Language models can teach themselves to use tools","venue":null,"work_id":"e7f34ab5-95f4-472c-9e01-c62811b22476","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:ba2a171097c1813439c109bcff920e672824985c41c0fa81affc3e909444f47a","observation_id":"745a9d40-ea66-4c4d-bbf3-3a16a50535e7","resolution":{"observed_at":"2026-05-17T05:14:05.476636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-07-08T13:44:55.604657Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":"a1666e19-dcbf-4fde-9fa5-616fe1568897","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:c5e9dd3adab0ed5d2a9a3f33cd9b353f4ce7c225a2d2639f9ae783fcc90cc9e2","observation_id":"67f11fdf-69db-492a-b679-a7bfa042a3a2","resolution":{"observed_at":"2026-05-17T05:14:05.473160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11381","last_updated":"2023-03-20T18:31:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-20T18:31:47Z","title":"MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action","version":1},"cited_work":{"arxiv_id":"2303.11381","doi":"10.48550/arxiv.2303.11381","metadata_source":"pith","pith_arxiv_id":"2303.11381","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action","venue":"cs.CV","work_id":"6dc43db8-227d-438e-8658-0c8acecba08a","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2303.11381","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:4dee2b346e8484a768666a021ead74ecb1317c31c3e1f2158c302b216d530c2c","observation_id":"fd2f3094-b3b1-469d-aeba-98b6bcbed5c5","resolution":{"observed_at":"2026-05-14T01:17:58.977376Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Visual programming: Compositional visual reasoning without train- ing","venue":null,"work_id":"d4079c21-b266-49bc-992a-c0c02c09c7c7","year":2023},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:6b53455f7007a5efc0b5aca1439958bc487f738e744ef7ec839c3fe911ec86a5","observation_id":"dec36dd2-bf1e-4ce1-9f0c-2b9e015ebdbf","resolution":{"observed_at":"2026-05-17T05:14:05.483554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03262","last_updated":"2025-11-10T15:11:13Z","snapshot_observed_at":"2026-07-06T20:17:15.995064Z","submitted_at":"2025-01-04T02:08:06Z","title":"REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization","version":9},"cited_work":{"arxiv_id":"2501.03262","doi":"10.48550/arxiv.2501.03262","metadata_source":"pith","pith_arxiv_id":"2501.03262","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization","venue":"cs.CL","work_id":"557f9e99-cb00-4dd2-92fd-67ddcddbb35d","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2501.03262","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:b83fa1d16193e156223fe67a67fbc9572d8eff0bc4617fdb4105493392a09320","observation_id":"3a1d39f3-e894-4a73-ba7c-f4e92d44d3e4","resolution":{"observed_at":"2026-05-12T09:21:45.673967Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-05-23T21:52:56.973979+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T21:52:56.973979+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":"1707.06347","doi":"10.1016/j.artint.2010.12.005","metadata_source":"pith","pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Proximal Policy Optimization Algorithms","venue":"cs.LG","work_id":"240c67fe-d14d-4520-91c1-38a4e272ca19","year":2017},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:ff0c1925ac12cf582764f1b3c17a72ee266968e8406de7e30035cdd0d04b5a93","observation_id":"0732976c-d11f-4b3f-933b-3480377d370d","resolution":{"observed_at":"2026-05-11T00:45:50.162903Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14476","last_updated":"2025-05-20T01:37:34Z","snapshot_observed_at":"2026-08-02T01:40:54.187278Z","submitted_at":"2025-03-18T17:49:06Z","title":"DAPO: An Open-Source LLM Reinforcement Learning System at Scale","version":2},"cited_work":{"arxiv_id":"2503.14476","doi":"10.48550/arxiv.2503.14476","metadata_source":"pith","pith_arxiv_id":"2503.14476","snapshot_observed_at":"2026-07-11T03:07:50.815080Z","title":"DAPO: An Open-Source LLM Reinforcement Learning System at Scale","venue":"cs.LG","work_id":"64019d00-0b11-4bbd-b173-b46c8fad0157","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2503.14476","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:a3ff3b041fd24f69c1243143953b9c83b27a77ee38e3c9580c6a3a1e793a1b63","observation_id":"212f6652-4e15-4cbe-b609-52ebbbbe7b1a","resolution":{"observed_at":"2026-05-11T00:45:50.116532Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-05-24T09:23:06.254602+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T09:23:06.254602+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":"2402.03300","doi":"10.1016/0004-3702(73)90011-8","metadata_source":"pith","pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","venue":"cs.CL","work_id":"c5006563-f3ec-438a-9e35-b7b484f34828","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:9a826a5e0031f6ffd8893c439c15ed83645e4fd0b775f2fd2140762712bf664c","observation_id":"a90c4980-cc53-440d-a8c2-8112c29fea9a","resolution":{"observed_at":"2026-05-11T00:45:50.059446Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.18071","last_updated":"2025-07-28T11:11:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-24T03:50:32Z","title":"Group Sequence Policy Optimization","version":2},"cited_work":{"arxiv_id":"2507.18071","doi":"10.48550/arxiv.2507.18071","metadata_source":"pith","pith_arxiv_id":"2507.18071","snapshot_observed_at":"2026-07-10T14:27:07.145784Z","title":"Group Sequence Policy Optimization","venue":"cs.LG","work_id":"3a98b53b-9f52-4d95-adf7-89353c0a9a65","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.18071","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:e1d848f9920a32debdc3fc911ed61bd6aab841d10f4ce6c0a6092b90cf9a99a1","observation_id":"f020a5f1-104d-4d5c-b581-f4def7661036","resolution":{"observed_at":"2026-05-11T00:45:50.184268Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.20534","last_updated":"2026-02-03T04:57:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-28T05:35:43Z","title":"Kimi K2: Open Agentic Intelligence","version":2},"cited_work":{"arxiv_id":"2507.20534","doi":"10.1145/3448609","metadata_source":"pith","pith_arxiv_id":"2507.20534","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Kimi K2: Open Agentic Intelligence","venue":"cs.LG","work_id":"7f18284c-12d3-4137-bea1-1da97e8cf3c1","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.20534","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:0b4cc55f54aafb309c5674cd2c490a4af2c2b6f10dbf4c4699df0b10fcac9b23","observation_id":"4ee9354d-9266-4470-b354-2f84ff34aca4","resolution":{"observed_at":"2026-05-11T00:45:50.069676Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-05-25T01:23:16.170083+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T01:23:16.170083+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.05748","last_updated":"2025-09-01T03:21:53Z","snapshot_observed_at":"2026-08-01T23:54:19.712464Z","submitted_at":"2025-08-07T18:03:50Z","title":"WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent","version":3},"cited_work":{"arxiv_id":"2508.05748","doi":"10.48550/arxiv.2407.01476","metadata_source":"pith","pith_arxiv_id":"2508.05748","snapshot_observed_at":"2026-07-10T17:27:26.696327Z","title":"WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent","venue":"cs.IR","work_id":"b734fd16-d7cf-4129-ac4d-129f31964890","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2508.05748","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:6ba3029c6454939ac452e73ab0e6e65254082a20b9b395a1d316a7a281cdddc4","observation_id":"7b074a6a-42d9-4f4d-b6d9-ebadc9e61e0c","resolution":{"observed_at":"2026-05-15T18:56:24.054213Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.02592","last_updated":"2025-07-03T12:59:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-03T12:59:07Z","title":"WebSailor: Navigating Super-human Reasoning for Web Agent","version":1},"cited_work":{"arxiv_id":"2507.02592","doi":"10.48550/arxiv.2507.02592","metadata_source":"pith","pith_arxiv_id":"2507.02592","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"WebSailor: Navigating Super-human Reasoning for Web Agent","venue":"cs.CL","work_id":"fec5a195-1dd5-425a-b552-109af948a7dd","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.02592","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:256676fd866a28fbf2b08a45a97d3f9166efa7b6c5b312900de6a47e0ba40ee1","observation_id":"5cd4db6e-d670-4757-9327-b65a1ed2e3eb","resolution":{"observed_at":"2026-05-17T15:37:09.773663Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15061","last_updated":"2025-07-20T17:53:37Z","snapshot_observed_at":"2026-07-06T21:59:59.698990Z","submitted_at":"2025-07-20T17:53:37Z","title":"WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization","version":1},"cited_work":{"arxiv_id":"2507.15061","doi":"10.48550/arxiv.2507.15061","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.15061","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Webshaper: Agentically datasynthesizingviainformation-seekingformalization.arXivpreprint","venue":null,"work_id":"ed437781-612e-405b-916f-243b6f4d1443","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.15061","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:693166b1b14917c3af9b07549ce507b6273b9c999ab2e865d4ed6397be56422e","observation_id":"13040d64-8ccd-45cf-b01d-be7d383320dc","resolution":{"observed_at":"2026-05-11T00:45:50.158468Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.07773","last_updated":"2025-08-20T12:20:55Z","snapshot_observed_at":"2026-07-06T21:22:40.740091Z","submitted_at":"2025-05-12T17:23:34Z","title":"Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving","version":4},"cited_work":{"arxiv_id":"2505.07773","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.07773","snapshot_observed_at":"2026-07-04T16:29:57.263901Z","title":"Negar Maleki, Balaji Padmanabhan, and Kaushik Dutta","venue":null,"work_id":"1e04bff5-21b0-4db8-89e1-336111a65764","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2505.07773","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:d655ac59726929c5b4fdca009fcbd4ef5c711930b3e0e75a62613dd2f3b5fc02","observation_id":"fb5d1019-2f23-4e62-9b69-c82919ee8576","resolution":{"observed_at":"2026-05-11T00:45:50.167268Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.02479","last_updated":"2025-09-03T17:06:42Z","snapshot_observed_at":"2026-07-06T22:22:21.808673Z","submitted_at":"2025-09-02T16:30:19Z","title":"SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning","version":2},"cited_work":{"arxiv_id":"2509.02479","doi":"10.48550/arxiv.2509.02479","metadata_source":"pith","pith_arxiv_id":"2509.02479","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"SimpleTIR: End-to-end reinforcementlearningformulti-turntool-integratedreasoning.arXivpreprint","venue":"cs.LG","work_id":"7fab711c-66c5-439e-b937-3b87965f8efb","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2509.02479","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:010f37e2372169adf7a08de00c798e852d6d55ab794cb42d5d94e38a6bf0b8ed","observation_id":"91ff23a9-3d9f-4891-9a74-03c8c64502b9","resolution":{"observed_at":"2026-05-11T00:45:50.171881Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Explorer: Scaling exploration-driven web trajectory synthesis for multimodal web agents","venue":null,"work_id":"7d0e5681-2164-4dec-8a0f-c8b54a440974","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:fa37d4d1dfed6eb8c9532e5f063400a3c15fc00213d57a5853e4094b1421b31a","observation_id":"83bf4041-421f-4799-826c-c324198a0115","resolution":{"observed_at":"2026-05-17T05:14:05.502562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20073","last_updated":"2025-05-26T17:19:30Z","snapshot_observed_at":"2026-07-06T21:15:59.063396Z","submitted_at":"2025-04-24T17:57:08Z","title":"RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2504.20073","doi":"10.18653/v1/2025.acl-long.887","metadata_source":"pith","pith_arxiv_id":"2504.20073","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning","venue":"cs.LG","work_id":"b96383ee-f8dc-471f-aba4-bc5ce9b0b632","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2504.20073","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:c85c2b09e3b96da85fd0f38bfce9f37963448db921240014b98dec6bdf6e7211","observation_id":"943c6789-6844-4526-b83a-c2c61459f484","resolution":{"observed_at":"2026-05-13T07:13:34.687091Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23918","last_updated":"2025-07-03T16:49:39Z","snapshot_observed_at":"2026-07-06T21:49:47.325553Z","submitted_at":"2025-06-30T14:48:35Z","title":"Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers","version":3},"cited_work":{"arxiv_id":"2506.23918","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.23918","snapshot_observed_at":"2026-07-11T03:17:51.399835Z","title":"Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers","venue":"cs.CV","work_id":"760ebd7d-977d-4280-afae-adb421d49ed4","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2506.23918","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:5f40e67a9421a82a117dddb190d64e57059d6d1a7909fbd7be9b6606437deee8","observation_id":"65d14b92-343e-4f1f-b38a-dfc12d969005","resolution":{"observed_at":"2026-05-13T08:34:23.540456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.24514","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T13:29:52.004856Z","title":"Latent sketchpad: Sketching visual thoughts to elicit multimodal reasoning in mllms","venue":null,"work_id":"b88a3f18-3bbc-44da-82ee-292b974b146d","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:e8f96906d9631a85a16edcc78b9a86596b0106dc565bfeec1866fd5c7fdeccea","observation_id":"3a010412-b2be-4ea9-be83-e9400d76d655","resolution":{"observed_at":"2026-05-11T00:45:50.145785Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.21395","doi":"10.48550/arxiv.2511.21395","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Monet: Reasoning in latent visual space beyond images and language","venue":null,"work_id":"ce4ac531-7907-4d8a-afe2-9a0dae21ffa5","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:946ea28fbc5bb921134eea7d2ed8a38ca600895c2dd298e10429fe0e71d2da5f","observation_id":"17de2ce0-8681-41ed-b83c-c66a1fa2614b","resolution":{"observed_at":"2026-05-11T00:45:50.149921Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.24251","last_updated":"2025-10-05T04:01:18Z","snapshot_observed_at":"2026-07-06T22:31:00.843452Z","submitted_at":"2025-09-29T03:52:01Z","title":"Latent Visual Reasoning","version":2},"cited_work":{"arxiv_id":"2509.24251","doi":"10.48550/arxiv.2509.24251","metadata_source":"pith","pith_arxiv_id":"2509.24251","snapshot_observed_at":"2026-07-11T03:17:51.433935Z","title":"Latent Visual Reasoning","venue":"cs.CV","work_id":"b6468cfa-4f13-4e02-b0ec-24ff5cd6785a","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2509.24251","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:3654cfb1a667f0fc0b289774a4a66214866fd4d91ca9aba785e2caf858b86636","observation_id":"e1aa2929-42ee-4b61-91c8-3aa65be2d3db","resolution":{"observed_at":"2026-05-15T18:41:30.500607Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.05665","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T12:36:56.981467Z","title":"Interleaved latent visual reasoning with selective perceptual modeling","venue":null,"work_id":"d12dcb47-4b0a-42df-944f-f13015a4752d","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:860c6243441ad1558e7aa7677890d3204db9123b6fd3c0792fe8169670f7833f","observation_id":"598ea679-32ab-4f53-878f-369b9ebb2ee2","resolution":{"observed_at":"2026-05-11T00:45:50.087660Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.05271","last_updated":"2026-03-11T08:46:41Z","snapshot_observed_at":"2026-07-06T22:35:13.699594Z","submitted_at":"2025-11-07T14:31:20Z","title":"DeepEyesV2: Toward Agentic Multimodal Model","version":4},"cited_work":{"arxiv_id":"2511.05271","doi":"10.48550/arxiv.2511.05271","metadata_source":"pith","pith_arxiv_id":"2511.05271","snapshot_observed_at":"2026-07-11T03:17:51.290341Z","title":"DeepEyesV2: Toward Agentic Multimodal Model","venue":"cs.CV","work_id":"0bc8f779-a287-4c6f-95b2-daffd15ad044","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2511.05271","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2ceb9dc4f6890f051606132c7726d5196c092e56b5f312ed16c9c588dc04ff46","observation_id":"31f3e513-db5e-4382-af03-15f82102ef10","resolution":{"observed_at":"2026-05-16T05:32:29.694372Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15436","last_updated":"2025-12-05T05:44:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-21T12:18:15Z","title":"Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs","version":3},"cited_work":{"arxiv_id":"2505.15436","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.15436","snapshot_observed_at":"2026-07-08T23:55:43.041447Z","title":"Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs","venue":"cs.CV","work_id":"c157db40-f1a3-4bf3-b004-55183727b771","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2505.15436","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:9a90e79941c8a1377f3362b92271e678fadf4886deed263ff2a08a0729fe923b","observation_id":"052aa34e-c3d5-4b46-8620-57bb85519c02","resolution":{"observed_at":"2026-05-17T05:35:13.359401Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15966","last_updated":"2025-10-24T09:35:22Z","snapshot_observed_at":"2026-07-06T21:28:06.120576Z","submitted_at":"2025-05-21T19:35:08Z","title":"Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2505.15966","doi":"10.48550/arxiv.2505.15966","metadata_source":"pith","pith_arxiv_id":"2505.15966","snapshot_observed_at":"2026-07-10T13:37:06.857138Z","title":"Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning","venue":"cs.CV","work_id":"878c3e90-ce55-4ba3-a588-2abe369013e6","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2505.15966","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:ba09671e6becc3c6971894c3931fbe601bd2f9a223624dc76fd35c57526eee31","observation_id":"4101407c-c167-430d-89bf-2f14a241def1","resolution":{"observed_at":"2026-05-14T02:22:27.090901Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.05920","last_updated":"2026-04-20T01:54:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-08T12:05:05Z","title":"High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2507.05920","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.05920","snapshot_observed_at":"2026-07-04T16:29:57.242422Z","title":"High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning","venue":"cs.CV","work_id":"5628a193-01a7-494f-9970-cebea4ca12f8","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.05920","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:50f38f6582f4916b9ed45c3fa89cfebfe652a64b312d2881d6d4d4046a9c01a7","observation_id":"f5beb4e0-9243-4940-a28a-9be871b815b3","resolution":{"observed_at":"2026-05-11T00:45:50.112672Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.20670","last_updated":"2025-06-25T17:59:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-25T17:59:42Z","title":"MMSearch-R1: Incentivizing LMMs to Search","version":1},"cited_work":{"arxiv_id":"2506.20670","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.20670","snapshot_observed_at":"2026-07-10T07:26:54.458175Z","title":"MMSearch-R1: Incentivizing LMMs to Search","venue":"cs.CV","work_id":"19069633-beb6-4e5b-a373-e4becafff7eb","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2506.20670","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2969f54319f3c84e13fd1fa180f98348548193a8ed2c7e176ebd9a2c97995345","observation_id":"98f7b2a9-196c-4e0a-bc8e-28aa5b145015","resolution":{"observed_at":"2026-05-16T15:27:04.573030Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13348","last_updated":"2025-07-17T17:59:55Z","snapshot_observed_at":"2026-07-06T21:58:51.796148Z","submitted_at":"2025-07-17T17:59:55Z","title":"VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2507.13348","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.13348","snapshot_observed_at":"2026-07-04T15:09:55.252188Z","title":"Visionthink: Smart and efficient vision language model via reinforcement learning","venue":null,"work_id":"0794050e-4b73-47bd-b7a5-0f46305fd793","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.13348","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:40879ffe5e94dbee78c548f0741ba7270f5fc7b6802bc6e5053c86b98f1075ef","observation_id":"f55e675c-9e83-4278-b74b-1bb613346095","resolution":{"observed_at":"2026-05-11T00:45:50.083817Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21457","last_updated":"2026-06-08T14:20:16Z","snapshot_observed_at":"2026-07-06T21:31:35.572708Z","submitted_at":"2025-05-27T17:29:31Z","title":"ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2505.21457","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.21457","snapshot_observed_at":"2026-07-04T16:29:57.224762Z","title":"arXiv preprint arXiv:2505.21457 , year =","venue":"cs.CV","work_id":"2f6b9068-7d97-4dae-b9fb-d9c4acb49d40","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2505.21457","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:e67427a53d2a349e78b58a4d096fa3685ff8555c8427eacf5b05cb9ed933e19c","observation_id":"a3849417-c099-4ddc-a179-1b1a96fbc4f9","resolution":{"observed_at":"2026-06-09T03:07:59.867366Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.03746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T17:38:44.222743Z","title":"Thinking with programming vision: Towards a unified view for thinking with images","venue":null,"work_id":"10e5684e-4b08-4576-bb37-69825400baba","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:481f67c9350ca85df244e3b089c9d55920d0f0e58a9242852560d3e68303397b","observation_id":"68a4a4b5-454f-45a1-b45a-c0602ff4824d","resolution":{"observed_at":"2026-05-11T00:45:50.133336Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.02361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vacot: Rethinking visual data augmentation with vlms","venue":null,"work_id":"f0c08e77-dc5b-474a-9c99-47174cbc09fd","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:831fe288319cffa5880e1d3e1d36ad77115174defb9ec6a5f1311fa1b604cc3d","observation_id":"0d0649de-7dc6-4641-9d38-0bd76b0a6402","resolution":{"observed_at":"2026-05-11T00:45:50.052410Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.12916","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T19:20:06.655548Z","title":"arXiv preprint arXiv:2602.12916 , year=","venue":null,"work_id":"aa60742d-4e69-4e29-ae82-2a5c50343385","year":2026},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:b7c1d8b027f36891ce6ee9f7e5457870709c67bf4906030246f3156edeaf1f14","observation_id":"260d141c-5131-4670-8b54-78b2e1aa3899","resolution":{"observed_at":"2026-05-11T00:45:50.141554Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Hybridflow: A flexible and efficient rlhf framework","venue":null,"work_id":"8618b4bd-0aec-4687-92cb-cfabfa342455","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:5ce0e5c4a9d4e252546c9a1520b39b68e1d0922af8cbd2d32edb803330130869","observation_id":"04c301e5-6b5e-4bec-b822-39af19c9d3ae","resolution":{"observed_at":"2026-05-17T05:14:05.466157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Momentum-based variance reduction in non-convex sgd","venue":null,"work_id":"3836275b-83b0-4a84-8d3c-b386feccabe3","year":2019},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:b8292370e253eed144dd0d893a9a96b4992c71ae3fc970d2483a40833dbfa43e","observation_id":"605af6cb-b296-4c94-a8a3-a7e2f7df4831","resolution":{"observed_at":"2026-05-17T05:14:05.509515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Gpt-5 system card.https://cdn.openai.com/gpt-5-system-card.pdf","venue":null,"work_id":"e28e57f1-5c13-4571-bc31-3e8ef482e804","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:62ddc27e79c95dd75c1782d8d25df28413456ba577917c6c58f4ac4a5b987126","observation_id":"6ec6489e-66a8-4588-873a-de8b58b255bf","resolution":{"observed_at":"2026-05-17T05:14:05.455333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":"2507.06261","doi":"10.48550/arxiv.2503.19","metadata_source":"pith","pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-07-11T03:17:51.364436Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","venue":"cs.CL","work_id":"008df105-2fdd-45d8-857a-8e35868aecb6","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:63735ea278555e55a17f08737fc0760f050dd850f50c0368d13f318dcfcbb679","observation_id":"289660dd-1155-4bb1-9317-45204dd24262","resolution":{"observed_at":"2026-05-11T00:45:50.137506Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-07-05T23:51:35.588497Z","title":"V?: Guided visual search as a core mechanism in multimodal llms","venue":null,"work_id":"acf7b629-6975-4b9b-b89a-44f85bd5b32d","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:c712e06b28859c06cc67e9e3d81917d8db6591a5155f3484b7d291d0d4bc3fdf","observation_id":"898d3559-3658-4270-b87a-7cb07bf1ace5","resolution":{"observed_at":"2026-05-17T05:14:05.490077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Divide, conquer and combine: a training-free framework for high-resolution image perception in multimodal large lan- guage models","venue":null,"work_id":"dcd75a69-805b-4d98-a905-25a4b73a3804","year":2025},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:342e9f39b6127df89ff9ea90e6ac37a04ba4d1115b46483cc2ae130c3ccad7cf","observation_id":"a3d5a24d-02da-4bce-99e1-d61d13540fdb","resolution":{"observed_at":"2026-05-17T05:14:05.493060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13257","last_updated":"2025-02-05T08:44:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-23T17:59:51Z","title":"MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?","version":3},"cited_work":{"arxiv_id":"2408.13257","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.13257","snapshot_observed_at":"2026-07-08T06:34:41.869562Z","title":"MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?","venue":"cs.CV","work_id":"140d79fb-a3d2-4af2-a436-9d997c171f61","year":2024},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"cited_paper":"/paper/2408.13257","citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:db56c6aa34895fd9351b9bc7f144d5ea5f5f3488a0cfdda2baba47173b85c29f","observation_id":"c18c734a-b9b2-4098-9036-f621d47f9e38","resolution":{"observed_at":"2026-05-16T07:59:32.958879Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a42f2410-f858-4a4d-b51c-f0bd60551e36","year":null},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:d58d318d0526642396b15adc1f9eda519c5e419d418643feea1ca591f143f685","observation_id":"cc9c9c16-8d6b-44c9-b715-aab5dc443c4b","resolution":{"observed_at":"2026-05-17T05:14:05.495829Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"Varr(ˆgout|τ) =∥∇ θ logπ(τ)∥ 2 ·Var(r out) =C τ ·σ 2 out (21) Varr(ˆgsem|τ) =∥∇ θ logπ(τ)∥ 2 ·Var(r sem) =C τ ·σ 2 sem (22) whereC τ =∥∇ θ logπ(τ)∥ 2","venue":null,"work_id":"248c4c3d-f675-4c62-867e-f5973faa2437","year":null},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:f693eb8ad85af1b2ff47ce32bcf28f594438ce55d6994bbde29c1feee96d296c","observation_id":"548b0822-a4b1-491f-8913-215fcdb13900","resolution":{"observed_at":"2026-05-17T05:14:05.524735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"395553bf-3eae-4877-8687-29a129f771a1","year":null},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:440b020ae72138bc796390581f0b2d0eb43a374a7d7b7af4ff21339153eaf90f","observation_id":"1acc7250-554a-45a4-94eb-41be46b8fce1","resolution":{"observed_at":"2026-05-17T05:14:05.469357Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a6030c2b-7f9c-4803-883e-56e1656d1edf","year":null},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:77ebfbe2d081bc123999a26e5db671e189bd0414fcf2ca09fa8b4404e70d1b69","observation_id":"abf79b2a-3732-49bc-abe1-de71f31464d2","resolution":{"observed_at":"2026-05-17T05:14:05.521174Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"type\":\"function","venue":null,"work_id":"916a8bc2-96d2-4b41-9315-3f91c20c07e4","year":null},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:2c1683b647e958ba6c8407a426e3d74307171658a36d4b4748cb35619994bd24","observation_id":"57af2e20-13f1-428d-8ffc-563dc82ad2a8","resolution":{"observed_at":"2026-05-17T05:14:05.480070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+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":"2026-06-05T21:23:00.469572Z","title":"The input image resolution is dynamically handled, with a pixel constraint range of[10 6,2×10 6]pixels to support high-resolution visual reasoning","venue":null,"work_id":"e8e5695c-f69f-4d4c-8ed3-bf26c5e7cc3f","year":null},"citing_paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-10T18:20:02.559108Z"},"links":{"citing_paper":"/paper/2604.06777"},"observation_digest":"sha256:e701c29dc44fe8640d192ee2c2551061771ddb53a2455429685808edb9d8f147","observation_id":"3cea1cd7-16df-420a-9025-49d5f5ac1de9","resolution":{"observed_at":"2026-05-17T05:14:05.506196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.06777","last_updated":"2026-04-08T07:48:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T07:48:07Z","title":"Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization"},"reference_resolution":{"displayed":82,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":4,"verified_exact":45,"verified_fuzzy":29},"total_outbound_references":82},"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":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"thesis":"As of 2 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 1 inbound Pith citation observation for arXiv:2604.06777."}