{"as_of":"2026-08-12T21:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:71333aba2433b4d2d84a876387f17c5499d75b51acd07fc6fe861f4ec08f2194","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":27,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:50.648770Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T15:09:54.970421Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2503.12605","last_updated":"2025-03-23T13:47:43Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-16T18:39:13Z","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","version":2},"reference_index":245,"source":"pdf_text","source_observed_at":"2026-05-15T17:18:52.996467Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2503.12605"},"observation_digest":"sha256:ed9c8cd3db067ef787b1a6e3ccf85b9f88de6958a8cc8d599b6b515260abce44","observation_id":"c68ae557-5d86-4d4b-a033-12e69baae016","resolution":{"observed_at":"2026-05-15T17:18:53.556644Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2504.06958","last_updated":"2025-11-11T08:30:00Z","snapshot_observed_at":"2026-08-02T02:31:33.589341Z","submitted_at":"2025-04-09T15:09:27Z","title":"VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T20:56:07.247122Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2504.06958"},"observation_digest":"sha256:acd33c4923419b0406b60c5f3de1e8330decbe1c7a36472a79c2982934517c29","observation_id":"2c866938-5ec6-4e64-b313-5723a5276481","resolution":{"observed_at":"2026-05-15T20:56:07.673376Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2504.07615","last_updated":"2025-04-14T15:15:54Z","snapshot_observed_at":"2026-08-08T20:11:45.308315Z","submitted_at":"2025-04-10T10:05:15Z","title":"VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T01:13:57.368874Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2504.07615"},"observation_digest":"sha256:83d881ea199e1e552979456e4b10fab8f713370d4123805d4bcf9ad043faafe3","observation_id":"87cfbd50-de8b-49ec-b945-027c72db7606","resolution":{"observed_at":"2026-05-13T01:13:57.417184Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T15:42:50.648770Z","title":"Boosting the generalization and reasoning of vision language models with curriculum reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.14231","last_updated":"2025-05-20T11:40:43Z","snapshot_observed_at":"2026-08-12T14:22:37.782293Z","submitted_at":"2025-05-20T11:40:43Z","title":"UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:42:50.648770Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2505.14231"},"observation_digest":"sha256:ff793721f9eeab483462e3b4cbb48a45ab96c847e0358092aeb4e2a77c05ede1","observation_id":"ef240fc9-f479-47ad-bb22-f648706214c8","resolution":{"observed_at":"2026-08-07T15:42:50.648770Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T14:31:19.391570Z","title":"Boosting the generalization and reasoning of vision language models with curriculum reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18536","last_updated":"2025-05-24T06:01:48Z","snapshot_observed_at":"2026-08-07T22:01:21.366221Z","submitted_at":"2025-05-24T06:01:48Z","title":"Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models","version":1},"reference_index":121,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:19.391570Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2505.18536"},"observation_digest":"sha256:ea8c01e8051d4ed9ef8cdb51fbe7da88cbc5c9e17073ea120ed52213e9ecba91","observation_id":"49a03a3e-854f-4b06-978e-666e8a225aa5","resolution":{"observed_at":"2026-08-07T14:31:19.391570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T14:13:52.196940Z","title":"Boosting the generaliza- tion and reasoning of vision language models with curriculum reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19611","last_updated":"2025-05-26T07:27:18Z","snapshot_observed_at":"2026-08-10T07:36:32.550620Z","submitted_at":"2025-05-26T07:27:18Z","title":"Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:13:52.196940Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2505.19611"},"observation_digest":"sha256:5a0b3d4ba93080bc3f4de0be00cd344cbf7cd0ba7d7b5cbfa50f48f6e4c5beb2","observation_id":"c15369b9-d485-4683-a15b-39a08f08b63a","resolution":{"observed_at":"2026-08-07T14:13:52.196940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T12:41:21.033702Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23762","last_updated":"2025-05-29T17:59:51Z","snapshot_observed_at":"2026-08-10T17:18:04.954453Z","submitted_at":"2025-05-29T17:59:51Z","title":"ZeroGUI: Automating Online GUI Learning at Zero Human Cost","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:21.033702Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2505.23762"},"observation_digest":"sha256:440a81c94e73d6f2b0b6762f735d1e6a0ce5d23aaa873bbc9921d87bce138441","observation_id":"5fd999b5-d794-44e5-8d07-b494ae53ca2f","resolution":{"observed_at":"2026-08-07T12:41:21.033702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T05:27:05.136689Z","title":"Boosting the generalization and reasoning of vision language models with curriculum reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07905","last_updated":"2025-06-09T16:20:54Z","snapshot_observed_at":"2026-08-07T21:24:53.935343Z","submitted_at":"2025-06-09T16:20:54Z","title":"WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:27:05.136689Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2506.07905"},"observation_digest":"sha256:3fe97a83262bf600672934fe956ca41670a145ac3b290aee28274a38e9c0635e","observation_id":"6348801c-8c22-4cb9-8943-fd8dbb1ab974","resolution":{"observed_at":"2026-08-07T05:27:05.136689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T04:38:32.144672Z","title":"InProceedings of the ICCV, pages 22145– 22156","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10116","last_updated":"2025-06-11T18:55:36Z","snapshot_observed_at":"2026-08-10T02:13:44.709892Z","submitted_at":"2025-06-11T18:55:36Z","title":"ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T04:38:32.144672Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2506.10116"},"observation_digest":"sha256:b3bfeef01efe846bbfc6d481a00225c7783e01fcef59a4ddc6a94b5d3dfe7a79","observation_id":"8a7a9780-6cb9-4c16-a4e5-72318cf4db33","resolution":{"observed_at":"2026-08-07T04:38:32.144672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-07T00:57:01.730564Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12364","last_updated":"2025-06-22T13:42:54Z","snapshot_observed_at":"2026-08-07T00:49:22.617336Z","submitted_at":"2025-06-14T05:55:00Z","title":"MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:57:01.730564Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2506.12364"},"observation_digest":"sha256:5eaeb57695cbe0a2ecfd7641cb6bac984811725eff36fb04d7a6400239c0a1b7","observation_id":"6acd7ba0-3709-48da-8847-e86b78f7681a","resolution":{"observed_at":"2026-08-07T00:57:01.730564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2507.00748","last_updated":"2026-04-12T11:20:16Z","snapshot_observed_at":"2026-08-08T09:01:59.914584Z","submitted_at":"2025-07-01T13:48:57Z","title":"Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-19T06:50:02.607136Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2507.00748"},"observation_digest":"sha256:1311a889c0f19a3d64be0111f73cf849251ba02e63a5073b4fc00847b575f42e","observation_id":"0c20257e-3e3b-4776-aef8-ab908f7d19ba","resolution":{"observed_at":"2026-05-19T06:52:07.977161Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-06T15:12:01.785071Z","title":"arXiv preprint arXiv:2503.07065 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16518","last_updated":"2026-06-24T02:00:50Z","snapshot_observed_at":"2026-08-11T19:24:43.519560Z","submitted_at":"2025-07-22T12:27:08Z","title":"SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:01.785071Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2507.16518"},"observation_digest":"sha256:432ab469952e12f49484a7e6d2380b1695c2852ad54cdf71f0e8b71007125b5e","observation_id":"06c3a419-31f2-4e3d-8846-29766c49ee89","resolution":{"observed_at":"2026-08-06T15:12:01.785071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-05T20:28:55.647921Z","title":"Deng et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10955","last_updated":"2025-08-14T07:25:45Z","snapshot_observed_at":"2026-08-09T12:54:37.629481Z","submitted_at":"2025-08-14T07:25:45Z","title":"Empowering Multimodal LLMs with External Tools: A Comprehensive Survey","version":1},"reference_index":141,"source":"arxiv_source","source_observed_at":"2026-08-05T20:28:55.647921Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2508.10955"},"observation_digest":"sha256:f02e12c7196feb32151db34e665948c5ef152c4de5ba81bc67c663a6e3d3e968","observation_id":"f3a197cc-5b96-4ff5-ae41-bd22d2977949","resolution":{"observed_at":"2026-08-05T20:28:55.647921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-04T23:11:33.680238Z","title":"Boosting the generalization and reasoning of vision language models with curriculum reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.06759","last_updated":"2025-09-08T14:47:57Z","snapshot_observed_at":"2026-08-08T01:24:21.409658Z","submitted_at":"2025-09-08T14:47:57Z","title":"Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T23:11:33.680238Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2509.06759"},"observation_digest":"sha256:ec5b46ea71368a4c8c7b60a7ac1091828e3572d12605b72effd04cdd7dd37189","observation_id":"81da2cfc-2953-4d37-9707-0803e844cfca","resolution":{"observed_at":"2026-08-04T23:11:33.680238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-04T16:07:28.711477Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.16679","last_updated":"2025-09-20T13:11:28Z","snapshot_observed_at":"2026-08-12T18:46:01.485214Z","submitted_at":"2025-09-20T13:11:28Z","title":"Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T16:07:28.711477Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2509.16679"},"observation_digest":"sha256:6b2115cc9a3279facaac2dd49395b1900e2984ec50cfe458ad18963da3caa54d","observation_id":"994cb6c9-e3dc-4725-8a93-657b246f0fd7","resolution":{"observed_at":"2026-08-04T16:07:28.711477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-03T20:36:05.524886Z","title":"Boosting the generalization and reasoning of vision language models with curriculum reinforcement learning.arXiv preprint arXiv:2503.07065, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.19356","last_updated":"2026-07-17T04:00:04Z","snapshot_observed_at":"2026-08-08T13:36:41.910465Z","submitted_at":"2025-11-24T17:56:03Z","title":"Rethinking Reward Signals in Video GRPO: When Scores Become Targets","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T20:36:05.524886Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2511.19356"},"observation_digest":"sha256:8dfa0602c5418e890021800f452d604c6dd4b791ac8ca27a74e201bbcc3aa42c","observation_id":"7fbcfb2d-1706-4683-aed3-2eb00a406eee","resolution":{"observed_at":"2026-08-03T20:36:05.524886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2602.19974","last_updated":"2026-05-07T22:11:37Z","snapshot_observed_at":"2026-07-06T22:46:45.213871Z","submitted_at":"2026-02-23T15:39:53Z","title":"RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-15T20:33:09.627731Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2602.19974"},"observation_digest":"sha256:618e53f05df46029cef09974072a7a6b3de881ffd7d1ade8b176c076015e3431","observation_id":"be8d7fde-2bbf-49a6-83d9-053626d88997","resolution":{"observed_at":"2026-05-15T20:36:35.334320Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2604.05341","last_updated":"2026-04-07T02:25:36Z","snapshot_observed_at":"2026-07-06T22:54:04.491386Z","submitted_at":"2026-04-07T02:25:36Z","title":"Curr-RLCER:Curriculum Reinforcement Learning For Coherence Explainable Recommendation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T19:43:11.384787Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2604.05341"},"observation_digest":"sha256:e7a3b554f3faba9ebc029ed61fe6d4bd41bfedf9d301a083e6dee2a7ae359bd6","observation_id":"b4429a10-cffb-411e-9217-1b9d4f2b86c7","resolution":{"observed_at":"2026-05-10T22:35:49.933305Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2604.16557","last_updated":"2026-07-30T13:33:20Z","snapshot_observed_at":"2026-08-09T11:29:22.831265Z","submitted_at":"2026-04-17T08:39:07Z","title":"S-GRPO: Unified Post-Training for Large Vision-Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T08:18:59.432486Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2604.16557"},"observation_digest":"sha256:4c925c99c7aaed8ab256e1f9b0c14de2222edab3978de88cc233e1afadcc2951","observation_id":"4c59afd4-f3ee-41e1-bbb5-a5d8f8f33cc3","resolution":{"observed_at":"2026-05-10T08:22:37.495818Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-08-02T16:10:54.025142Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.16557","last_updated":"2026-07-30T13:33:20Z","snapshot_observed_at":"2026-08-09T11:29:22.831265Z","submitted_at":"2026-04-17T08:39:07Z","title":"S-GRPO: Unified Post-Training for Large Vision-Language Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T16:10:54.025142Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2604.16557"},"observation_digest":"sha256:bfd395ce12f47da2361bbafd07594b03e62a81d606d597139bc5df28defcf1be","observation_id":"80d34535-592e-4bde-815e-ce842d8991ec","resolution":{"observed_at":"2026-08-02T16:10:54.025142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2605.09188","last_updated":"2026-05-09T22:05:59Z","snapshot_observed_at":"2026-08-11T00:30:42.674771Z","submitted_at":"2026-05-09T22:05:59Z","title":"DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T03:12:49.428954Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2605.09188"},"observation_digest":"sha256:1b93c9a283d71c59a2f27a0c894067a4ec9af5a550dd6edf5acda714c7df1e05","observation_id":"d1b1a740-f640-4f1f-9599-3afc69605ee2","resolution":{"observed_at":"2026-05-12T03:16:19.353516Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2605.10761","last_updated":"2026-05-11T15:57:35Z","snapshot_observed_at":"2026-08-02T12:12:15.627459Z","submitted_at":"2026-05-11T15:57:35Z","title":"RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T03:55:55.359488Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2605.10761"},"observation_digest":"sha256:c6e11ec9c2c8b0375ab1b8673a8d093f2219365e47d0ba7c113e8db8ae94dc13","observation_id":"e1d6424c-6e84-42cb-abdf-bcddad31fd48","resolution":{"observed_at":"2026-05-12T03:56:21.641871Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2605.17037","last_updated":"2026-05-16T15:16:00Z","snapshot_observed_at":"2026-07-06T23:28:06.971959Z","submitted_at":"2026-05-16T15:16:00Z","title":"D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-05-19T20:21:48.657926Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2605.17037"},"observation_digest":"sha256:4293e5fa6b3e71ea9beac576d8137d6bee1e95bf034b226b137b1482debc46ce","observation_id":"22522478-2499-4884-aed2-626270644382","resolution":{"observed_at":"2026-05-19T20:22:45.283893Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2606.06294","last_updated":"2026-06-21T07:27:04Z","snapshot_observed_at":"2026-08-04T09:48:32.503414Z","submitted_at":"2026-06-04T15:31:22Z","title":"Towards One-to-Many Temporal Grounding","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-06-28T02:11:48.455492Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2606.06294"},"observation_digest":"sha256:e644dcf49b61dc90a0dc1868f2288ede73f970ca8d42cd022a3a49c34e5708f8","observation_id":"7cb9933f-e0ff-4e72-9b76-03f0233c8ed6","resolution":{"observed_at":"2026-07-02T12:16:57.688274Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2606.09059","last_updated":"2026-06-08T05:49:09Z","snapshot_observed_at":"2026-08-06T20:24:34.875535Z","submitted_at":"2026-06-08T05:49:09Z","title":"Stage-1 Controls the Entropy Regime, Not the Outcome","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T17:16:39.814082Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2606.09059"},"observation_digest":"sha256:19ba497c1d4572b682dd32ac14b734ec4ea3014511e057e5909f6a15192801d7","observation_id":"e7c2e331-f3c0-4d96-ab6b-e6e9a403e464","resolution":{"observed_at":"2026-07-03T00:17:29.710973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2606.23557","last_updated":"2026-06-22T16:28:11Z","snapshot_observed_at":"2026-08-05T01:24:53.186762Z","submitted_at":"2026-06-22T16:28:11Z","title":"Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T08:38:46.044079Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2606.23557"},"observation_digest":"sha256:7805171996d35a51322e6f31a97e234e9e4b00c461e3fb44507ba76a7b3d6657","observation_id":"efe7a114-88d6-46da-9f60-3ac4fa777060","resolution":{"observed_at":"2026-07-04T10:39:45.368196Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2503.07065","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07065","snapshot_observed_at":"2026-07-04T15:09:54.970421Z","title":"arXiv preprint arXiv:2503.07065 , year=","venue":null,"work_id":"45c3a58c-d62f-4f0b-84d6-98d7c29563e4","year":2025},"citing_paper":{"arxiv_id":"2606.26196","last_updated":"2026-06-24T15:20:32Z","snapshot_observed_at":"2026-07-07T00:00:31.981360Z","submitted_at":"2026-06-24T15:20:32Z","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","version":1},"reference_index":176,"source":"pdf_text","source_observed_at":"2026-06-26T01:50:54.242508Z"},"links":{"cited_paper":"/paper/2503.07065","citing_paper":"/paper/2606.26196"},"observation_digest":"sha256:b59145acac2a98038a437808c4099d28ae35c614b4bf152cf3aa024e2491a441","observation_id":"f5baae0b-b052-45ef-9647-37a64218d44a","resolution":{"observed_at":"2026-07-04T15:09:54.971976Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.07065/citation-record","integrity":"/paper/2503.07065/integrity","json":"/paper/2503.07065/citation-record.json","paper":"/paper/2503.07065"},"outbound":[],"paper":{"arxiv_id":"2503.07065","last_updated":"2025-03-10T08:48:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T17:17:34.989308Z","submitted_at":"2025-03-10T08:48:50Z","title":"Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2503.07065."}