{"as_of":"2026-08-12T20:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a9b0a96731f99eb9132d8eda734d1aa3460b5039ba218d3544349a5c5c1b383b","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":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":44,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:36:01.053166Z","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":"2026-07-04T16:29:57.248099Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2503.17352","last_updated":"2025-11-11T08:13:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-21T17:52:43Z","title":"OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-19T06:59:03.112252Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2503.17352"},"observation_digest":"sha256:a0554811637ab6b60060d68b6f93460d4d2b820144eb69e3909baa063cc476d6","observation_id":"884e815e-c5c4-4874-8ba5-349dc1358242","resolution":{"observed_at":"2026-05-19T06:59:03.299659Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_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},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-17T05:35:13.118221Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2505.15436"},"observation_digest":"sha256:cf08b575ce99702a95a2ec745dad212ea3147a0f727846e1d79ee8de537ab3c8","observation_id":"b95d8041-f1e2-4f76-a90b-ab6dbf56b8f8","resolution":{"observed_at":"2026-05-17T05:35:13.201395Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T15:01:38.528553Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16673","last_updated":"2025-05-22T13:39:32Z","snapshot_observed_at":"2026-08-07T14:55:04.641472Z","submitted_at":"2025-05-22T13:39:32Z","title":"R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T15:01:38.528553Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2505.16673"},"observation_digest":"sha256:7f13893f3306e4c7e0929b4043afbe0601c61fbcb9eb93db566dd5a50e4a5551","observation_id":"5a912158-fb1e-4d4a-a7ea-2af8962ac3b9","resolution":{"observed_at":"2026-08-07T15:01:38.528553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T14:31:17.317950Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","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":97,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:17.317950Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2505.18536"},"observation_digest":"sha256:7642fb7a504a92cb7692f52fb181690c4d225e10943f4f4866ff03707e2276f7","observation_id":"967f09ed-0582-4c9f-8691-c1c707ee491e","resolution":{"observed_at":"2026-08-07T14:31:17.317950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T14:12:05.877103Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.19702","last_updated":"2025-05-26T08:54:14Z","snapshot_observed_at":"2026-08-12T00:35:40.510710Z","submitted_at":"2025-05-26T08:54:14Z","title":"Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:12:05.877103Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2505.19702"},"observation_digest":"sha256:438b933f73ff8ecfb534b4d9f592fe43d33700481406b8a9f9b54d03e2e76c25","observation_id":"9a8b3ec2-4343-4921-9602-85df3d133902","resolution":{"observed_at":"2026-08-07T14:12:05.877103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T14:51:35.404157Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21523","last_updated":"2025-06-20T08:41:41Z","snapshot_observed_at":"2026-08-08T02:35:34.040619Z","submitted_at":"2025-05-23T05:08:40Z","title":"More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:51:35.404157Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2505.21523"},"observation_digest":"sha256:22de52a6a89dfc9e6cf587431b3db50cc3d4b07571b5335375046e2870730482","observation_id":"b2522fcd-2a76-43c9-970d-72cd89da76a5","resolution":{"observed_at":"2026-08-07T14:51:35.404157Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T13:12:57.363121Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.22334","last_updated":"2025-07-23T07:37:08Z","snapshot_observed_at":"2026-08-08T13:10:29.457567Z","submitted_at":"2025-05-28T13:21:38Z","title":"Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T13:12:57.363121Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2505.22334"},"observation_digest":"sha256:263cee80e59d020b83016ce23a9588b6bd192432670252fb177aa93172d22d95","observation_id":"39f7e458-7dd4-4b3b-9084-63c8f4085552","resolution":{"observed_at":"2026-08-07T13:12:57.363121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T11:52:04.646937Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement.arXiv preprint arXiv:2504.07934, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.01300","last_updated":"2025-06-02T04:23:21Z","snapshot_observed_at":"2026-08-10T13:34:27.916880Z","submitted_at":"2025-06-02T04:23:21Z","title":"ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:52:04.646937Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2506.01300"},"observation_digest":"sha256:a8c66d58a15c178feb6555401483bf7ba389cf21ae50996f4cfebedfbcb37790","observation_id":"f9d85935-da37-4c4a-a56d-c37c6088d6a0","resolution":{"observed_at":"2026-08-07T11:52:04.646937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T11:35:47.087104Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.02096","last_updated":"2025-06-02T17:45:16Z","snapshot_observed_at":"2026-08-11T11:45:46.615149Z","submitted_at":"2025-06-02T17:45:16Z","title":"SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T11:35:47.087104Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2506.02096"},"observation_digest":"sha256:d8a0bdadc4e4a4c51c39d85bf09656bdd07e31e37a33bd6f7971d0437c5a41e4","observation_id":"04625a6a-c12b-4741-a4d4-b573b244768e","resolution":{"observed_at":"2026-08-07T11:35:47.087104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T05:52:18.654116Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement.arXiv preprint arXiv:2504.07934, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-10T00:01:32.411574Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.654116Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:967d8723a0b3a2d922c1a10b818eae6bde87c10881c93c33c3f34666ee6ee228","observation_id":"73127110-abe6-4cc4-9e98-5bb17a5fec37","resolution":{"observed_at":"2026-08-07T05:52:18.654116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-07T04:40:11.821726Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10128","last_updated":"2025-06-11T19:16:54Z","snapshot_observed_at":"2026-08-08T03:17:29.512287Z","submitted_at":"2025-06-11T19:16:54Z","title":"ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T04:40:11.821726Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2506.10128"},"observation_digest":"sha256:b903c4c04f5bc56a8d7a65e34855b5499f70ca4fae16147a326d6b975966bc0a","observation_id":"a9559091-c7ca-459c-8da7-146301ceae8d","resolution":{"observed_at":"2026-08-07T04:40:11.821726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-06T22:10:22.226382Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement.arXiv:2504.07934, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.22434","last_updated":"2025-06-27T17:59:27Z","snapshot_observed_at":"2026-08-09T16:37:51.559760Z","submitted_at":"2025-06-27T17:59:27Z","title":"MiCo: Multi-image Contrast for Reinforcement Visual Reasoning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:10:22.226382Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2506.22434"},"observation_digest":"sha256:42227a187a3e83745edbecfc3b770409a2864b444a96629af8539dc0311ee653","observation_id":"fa107860-b77c-457c-bd26-239bb6829ccf","resolution":{"observed_at":"2026-08-06T22:10:22.226382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-06T11:35:16.945350Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.22607","last_updated":"2025-07-31T09:09:45Z","snapshot_observed_at":"2026-08-09T20:47:50.407542Z","submitted_at":"2025-07-30T12:23:21Z","title":"VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T11:35:16.945350Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2507.22607"},"observation_digest":"sha256:01dc51e5d96344d4a4f906640380a9d87b8af743bcb905611aaaef9311a51092","observation_id":"305f264d-089d-4270-bb78-93469a4b5cfe","resolution":{"observed_at":"2026-08-06T11:35:16.945350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-05T23:03:10.133767Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.06009","last_updated":"2025-08-08T04:39:16Z","snapshot_observed_at":"2026-08-06T16:03:13.511884Z","submitted_at":"2025-08-08T04:39:16Z","title":"MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T23:03:10.133767Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2508.06009"},"observation_digest":"sha256:9d14433df61deab5b3266866b7a29ec504c9316adadbb55141d69db881a53b50","observation_id":"f055fe9b-4553-40eb-bc57-d58d410b375a","resolution":{"observed_at":"2026-08-05T23:03:10.133767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-05T13:24:39.870088Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.00676","last_updated":"2025-08-31T03:08:02Z","snapshot_observed_at":"2026-08-07T21:36:21.058533Z","submitted_at":"2025-08-31T03:08:02Z","title":"LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T13:24:39.870088Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2509.00676"},"observation_digest":"sha256:347555c081f472b2a256bd82c533128613260ea4c570616334f8466ba38710e7","observation_id":"47e2937b-eda5-4503-9d59-4ba53a5bd6b7","resolution":{"observed_at":"2026-08-05T13:24:39.870088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-04T08:15:57.524813Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.21978","last_updated":"2026-06-18T16:29:38Z","snapshot_observed_at":"2026-08-09T00:06:37.608642Z","submitted_at":"2025-10-24T19:08:48Z","title":"Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models","version":2},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-04T08:15:57.524813Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2510.21978"},"observation_digest":"sha256:211e59edc41eeebd260a5e6740a2f933895a5546d90f98111317260087714ceb","observation_id":"e60e136a-4e8a-40ab-bd9b-f467fdabf639","resolution":{"observed_at":"2026-08-04T08:15:57.524813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_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},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-16T05:32:29.266583Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2511.05271"},"observation_digest":"sha256:f0d3631edadc1faeb76b435fa7fd685b607b872d5b55458946f4b70776c6b125","observation_id":"588ea2e5-6f30-46fa-9f66-4532d18477e5","resolution":{"observed_at":"2026-05-16T05:32:29.455296Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-03T03:21:13.921539Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.08503","last_updated":"2026-06-04T07:08:18Z","snapshot_observed_at":"2026-08-08T03:26:45.601937Z","submitted_at":"2026-02-09T10:55:13Z","title":"Learning Self-Correction in Vision-Language Models via Rollout Augmentation","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-03T03:21:13.921539Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2602.08503"},"observation_digest":"sha256:f3ed756099a83ac0de9274004dd14efb48eb587c08f5069d7728978cf3391f64","observation_id":"1478b99e-35d9-45ef-b481-a9237ec9ca09","resolution":{"observed_at":"2026-08-03T03:21:13.921539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-02T19:58:27.284572Z","title":"Sota with less: Mcts-guided sample selec- tion for data-efficient visual reasoning self-improvement","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.00461","last_updated":"2026-06-10T06:57:00Z","snapshot_observed_at":"2026-08-12T20:25:39.865322Z","submitted_at":"2026-02-28T04:42:34Z","title":"ReMoT: Reinforcement Learning with Motion Contrast Triplets","version":3},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-08-02T19:58:27.284572Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2603.00461"},"observation_digest":"sha256:7ade19be85ceeee83c44e833e185cdb519290df6c566bcce7b367e4faf2739ad","observation_id":"e2d32b3c-dea8-4a39-80a6-782201174bce","resolution":{"observed_at":"2026-08-02T19:58:27.284572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2603.14184","last_updated":"2026-05-20T12:33:19Z","snapshot_observed_at":"2026-07-06T22:49:06.164294Z","submitted_at":"2026-03-15T02:21:05Z","title":"Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-21T11:56:29.743281Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2603.14184"},"observation_digest":"sha256:0b06272dfb8462eee8b6a8e8303b44556f87ad07231d6f25737856a0c6179373","observation_id":"c71b368f-6819-4534-9280-31d87dd2d01d","resolution":{"observed_at":"2026-05-21T12:00:04.251113Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.03179","last_updated":"2026-04-03T16:56:34Z","snapshot_observed_at":"2026-07-06T22:52:25.307426Z","submitted_at":"2026-04-03T16:56:34Z","title":"Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-13T20:48:52.130130Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.03179"},"observation_digest":"sha256:7025a6eb2691bd1c6522289409b6f33641b3c186c468f242b0bc11a8e34e9cf6","observation_id":"9d1ad665-f26d-4244-bee5-b3d8153020c9","resolution":{"observed_at":"2026-05-13T20:53:16.231096Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.08545","last_updated":"2026-04-09T17:59:57Z","snapshot_observed_at":"2026-08-10T23:18:23.568914Z","submitted_at":"2026-04-09T17:59:57Z","title":"Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T18:35:21.514502Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.08545"},"observation_digest":"sha256:f4e3002db146a16fdc4c4d3274df160ce84a6b267b4ba343d620ee28462abb6b","observation_id":"70b3a7de-b31a-4d89-aa60-a6bcf3c4d78d","resolution":{"observed_at":"2026-05-11T00:20:53.915067Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.10219","last_updated":"2026-05-28T16:20:33Z","snapshot_observed_at":"2026-08-11T08:56:43.424434Z","submitted_at":"2026-04-11T13:59:05Z","title":"Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-10T16:03:15.222571Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.10219"},"observation_digest":"sha256:7436c82d27b64a40327a2d3a628df91c3d874b419b05fb3e36cbdedba407f10d","observation_id":"a1e423e2-ed19-4823-9544-cf39f1c1b1e9","resolution":{"observed_at":"2026-05-11T09:25:59.078095Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-12T22:48:45.647588Z","title":"Available: https://arxiv.org/abs/2504.07934","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.10219","last_updated":"2026-05-28T16:20:33Z","snapshot_observed_at":"2026-08-11T08:56:43.424434Z","submitted_at":"2026-04-11T13:59:05Z","title":"Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-07-12T22:48:45.647588Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.10219"},"observation_digest":"sha256:2b55279171fb1ba3f6cb78d860e77eeedba47526ad7b2174b23efc2a412189b4","observation_id":"a02e4845-b209-41b1-9f77-774585094b34","resolution":{"observed_at":"2026-07-12T22:48:45.647588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.19264","last_updated":"2026-04-21T09:28:34Z","snapshot_observed_at":"2026-07-31T12:03:21.545054Z","submitted_at":"2026-04-21T09:28:34Z","title":"DR-MMSearchAgent: Deepening Reasoning in Multimodal Search Agents","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-10T03:21:30.732925Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.19264"},"observation_digest":"sha256:cc448303e409c375b974821a87fd34183b5e4ed065fadf7616741452b664e7b1","observation_id":"6a9263d9-5e58-49e1-970e-4bfcfa85a00d","resolution":{"observed_at":"2026-05-11T12:41:01.163336Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.20705","last_updated":"2026-04-22T15:46:42Z","snapshot_observed_at":"2026-08-11T00:41:13.716564Z","submitted_at":"2026-04-22T15:46:42Z","title":"SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-10T01:23:32.849326Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.20705"},"observation_digest":"sha256:eec71fcd1fd716baabd394b3fe5a4b202cd99ff377883f5797b62971c8c6d31b","observation_id":"4bbacae6-4a7b-4f3b-aaeb-2cb579d8f937","resolution":{"observed_at":"2026-05-11T13:36:08.856150Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.21268","last_updated":"2026-04-23T04:23:31Z","snapshot_observed_at":"2026-08-11T05:33:32.889261Z","submitted_at":"2026-04-23T04:23:31Z","title":"Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-05-09T23:05:05.251150Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.21268"},"observation_digest":"sha256:3167c89de05526d00380cf60e1972b49660cd310d8c3d34622f20eee14a65a61","observation_id":"f693a19e-16f1-44d6-b921-05860080a572","resolution":{"observed_at":"2026-05-11T14:16:06.142584Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.21718","last_updated":"2026-04-26T23:28:29Z","snapshot_observed_at":"2026-08-11T01:00:18.605708Z","submitted_at":"2026-04-22T09:01:04Z","title":"Building a Precise Video Language with Human-AI Oversight","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-10T00:37:31.858728Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.21718"},"observation_digest":"sha256:c9e6dc37a98de4493e6371138c3ae2c5c2f4fea989ca06e5dbf8b9892bcef674","observation_id":"06990ab1-b734-4eab-9a9e-73a7c6db852f","resolution":{"observed_at":"2026-05-11T13:46:04.410651Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2604.22498","last_updated":"2026-04-24T12:26:49Z","snapshot_observed_at":"2026-08-11T13:39:31.014053Z","submitted_at":"2026-04-24T12:26:49Z","title":"CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-08T12:26:01.568507Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2604.22498"},"observation_digest":"sha256:e3a2d680d839d111fd1c69207cb5d4349ed666585f741406cbc1df0da92fe8b9","observation_id":"39021625-41ec-4258-b314-47fc36e33e18","resolution":{"observed_at":"2026-05-11T19:16:08.355431Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.00814","last_updated":"2026-05-08T16:52:48Z","snapshot_observed_at":"2026-08-11T17:42:17.660482Z","submitted_at":"2026-05-01T17:54:37Z","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-09T18:53:06.494640Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.00814"},"observation_digest":"sha256:eb5e2d680acdab7b0efb6159c31c513adbc4e1a72b23416a3c3852edac709eb0","observation_id":"d3f0cc98-2210-40c5-8975-c22e86850d8b","resolution":{"observed_at":"2026-05-11T16:01:22.419357Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.00814","last_updated":"2026-05-08T16:52:48Z","snapshot_observed_at":"2026-08-11T17:42:17.660482Z","submitted_at":"2026-05-01T17:54:37Z","title":"Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-11T01:49:15.136031Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.00814"},"observation_digest":"sha256:631a5fcbf9a56b9a2866ab1d45c2917db049cc690911a0f175a58a100ddd91fb","observation_id":"7e640e53-610c-4f6a-bfda-62784bf90ac2","resolution":{"observed_at":"2026-05-11T01:50:51.588858Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.02730","last_updated":"2026-05-04T15:31:11Z","snapshot_observed_at":"2026-08-02T14:48:33.210016Z","submitted_at":"2026-05-04T15:31:11Z","title":"Perceptual Flow Network for Visually Grounded Reasoning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-08T18:40:55.753827Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.02730"},"observation_digest":"sha256:cf6eafcbedd3271fd0d9c2763a355322458cb419d685c440f0d39519d0ac906d","observation_id":"df048a35-a7fe-4496-b6f0-40e77bff5d6d","resolution":{"observed_at":"2026-05-09T06:15:38.894927Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.16416","last_updated":"2026-05-13T16:50:24Z","snapshot_observed_at":"2026-08-01T18:16:06.477491Z","submitted_at":"2026-05-13T16:50:24Z","title":"CAVE: A Structured Credit Assignment Approach for Fragmented Visual Evidence Reasoning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-20T21:10:56.533649Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.16416"},"observation_digest":"sha256:6287f22a9095c3ec69638a77526d1330f7f441b1b5cf674d63b4be73de437977","observation_id":"4d5b7c2b-cedb-443c-8a5a-f1b444c17e44","resolution":{"observed_at":"2026-05-20T21:13:44.763007Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.19852","last_updated":"2026-06-03T11:11:28Z","snapshot_observed_at":"2026-07-06T23:30:30.141040Z","submitted_at":"2026-05-19T13:44:26Z","title":"Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-20T06:16:47.650748Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.19852"},"observation_digest":"sha256:96416007dfd3ef26b98f7c57a30796c923c1a3af532733511c61236363151dda","observation_id":"f7bfaa8b-890e-4b97-96d6-22cb3912dfb7","resolution":{"observed_at":"2026-05-20T06:18:05.253285Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.21988","last_updated":"2026-05-21T04:38:02Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T04:38:02Z","title":"Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-22T07:45:56.473188Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.21988"},"observation_digest":"sha256:374e50f1e40d9da65cebe90bdaba1ea67adca4082c316062aeeb948397592497","observation_id":"69a5d072-97fc-4bbb-8a42-0a05eb72b807","resolution":{"observed_at":"2026-05-22T07:46:14.794643Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2605.25571","last_updated":"2026-05-25T08:26:34Z","snapshot_observed_at":"2026-08-11T23:46:03.759864Z","submitted_at":"2026-05-25T08:26:34Z","title":"AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-29T22:56:39.504430Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2605.25571"},"observation_digest":"sha256:fc3b548e5b78808580e6a07d8493fbea4c091ae53610d7dea7a5f7a97746e996","observation_id":"fd0d599e-858d-4314-b105-19810a7dee72","resolution":{"observed_at":"2026-06-30T00:14:04.632391Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2606.04503","last_updated":"2026-06-03T06:34:42Z","snapshot_observed_at":"2026-07-06T23:44:37.797802Z","submitted_at":"2026-06-03T06:34:42Z","title":"Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T06:55:09.927034Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2606.04503"},"observation_digest":"sha256:e621584d9cba97820ebb3e3812d36048bbf6619cc477e5bd5e3ddaab3643eab7","observation_id":"76f19e51-4722-4db9-b7e5-7bdd6e629898","resolution":{"observed_at":"2026-07-02T07:26:46.252644Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2606.08035","last_updated":"2026-06-06T07:56:25Z","snapshot_observed_at":"2026-08-07T06:09:41.751927Z","submitted_at":"2026-06-06T07:56:25Z","title":"DyCo-RL: Dynamic Cross-Modal Coordination for Visual Reasoning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T20:08:29.208550Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2606.08035"},"observation_digest":"sha256:41ab5c8eab1415d3c7eaf00dc2f00c37eab0f8472a04f4b09ee0c07ea1e9b20e","observation_id":"054e8c7e-f438-48cc-b2d1-32f7f80c9388","resolution":{"observed_at":"2026-07-02T20:47:23.075925Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2606.23543","last_updated":"2026-06-22T16:17:30Z","snapshot_observed_at":"2026-08-09T03:52:59.244753Z","submitted_at":"2026-06-22T16:17:30Z","title":"VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-26T08:34:27.719022Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2606.23543"},"observation_digest":"sha256:33ea8babee5a9c9bf30ac7d720f57ce4b8a8f58e0131c3a0d54046a3eeb01e08","observation_id":"d864721f-d0b0-4ffc-b656-4f7331d7ed9a","resolution":{"observed_at":"2026-07-04T10:39:46.112526Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2606.24233","last_updated":"2026-06-23T07:22:22Z","snapshot_observed_at":"2026-08-06T19:51:08.157500Z","submitted_at":"2026-06-23T07:22:22Z","title":"Latent Visual States for Efficient Multimodal Reasoning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-26T00:38:11.619574Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2606.24233"},"observation_digest":"sha256:36e03e9e2ebd20e3ca10377a9261b1b15cc03dff5cc42c03410b016cf3379288","observation_id":"38cde0c3-4f48-4539-a80e-1b65579130f1","resolution":{"observed_at":"2026-07-04T16:29:57.249633Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":"2504.07934","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-07-04T16:29:57.248099Z","title":"Sota with less: Mcts-guided sample selection for data-efficient visual reasoning self-improvement","venue":null,"work_id":"3af2dc47-c7ba-4654-9a4e-89fdcbfa9bc0","year":2025},"citing_paper":{"arxiv_id":"2606.31933","last_updated":"2026-06-30T16:38:41Z","snapshot_observed_at":"2026-08-02T09:05:31.252280Z","submitted_at":"2026-06-30T16:38:41Z","title":"No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-01T05:35:08.200219Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2606.31933"},"observation_digest":"sha256:39ddc91ee0036171772e16ce56c2dfd97b7bbb877dec8733fa8f430630e076a3","observation_id":"6a07455b-2c78-496e-a08d-1d641ba59446","resolution":{"observed_at":"2026-07-01T10:25:41.282559Z","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":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-01T11:47:27.535628Z","title":"SoTA with less: MCTS-guided sample selection for data-efficient visual reasoning self-improvement.arXiv preprint arXiv:2504.07934, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19790","last_updated":"2026-07-22T06:17:57Z","snapshot_observed_at":"2026-08-06T04:55:07.559078Z","submitted_at":"2026-07-22T06:17:57Z","title":"Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T11:47:27.535628Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2607.19790"},"observation_digest":"sha256:a0b297ca7ef12285530fdd537c5acef27cf270a3a99cf286c705237a4d2d0085","observation_id":"bf766f73-9c7e-47ba-8f1b-5d285e2986d9","resolution":{"observed_at":"2026-08-01T11:47:27.535628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-05T23:40:44.227213Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03204","last_updated":"2026-08-04T06:47:08Z","snapshot_observed_at":"2026-08-09T06:29:33.276922Z","submitted_at":"2026-08-04T06:47:08Z","title":"Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T23:40:44.227213Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2608.03204"},"observation_digest":"sha256:0061247910c78c43d360e80c3ff989294226873920a5e608cad43f61a1896ce1","observation_id":"b90d450a-95dd-4a70-accb-41ccb8724fa9","resolution":{"observed_at":"2026-08-05T23:40:44.227213Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07934","snapshot_observed_at":"2026-08-11T00:36:01.053166Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07581","last_updated":"2026-08-05T04:00:09Z","snapshot_observed_at":"2026-08-12T20:14:10.469185Z","submitted_at":"2026-08-05T04:00:09Z","title":"Multi-Branch Policy Optimization for Multimodal Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T00:36:01.053166Z"},"links":{"cited_paper":"/paper/2504.07934","citing_paper":"/paper/2608.07581"},"observation_digest":"sha256:10c2c38461c232b80d75b86c89139ad52dbd6b03e272b3ab2a230bc81561f2e6","observation_id":"21dea8d1-a349-4d73-afc9-6085a711eb7e","resolution":{"observed_at":"2026-08-11T00:36:01.053166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.07934/citation-record","integrity":"/paper/2504.07934/integrity","json":"/paper/2504.07934/citation-record.json","paper":"/paper/2504.07934"},"outbound":[],"paper":{"arxiv_id":"2504.07934","last_updated":"2025-05-30T15:53:16Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T13:11:38.446061Z","submitted_at":"2025-04-10T17:49:05Z","title":"SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement"},"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 44 inbound Pith citation observations for arXiv:2504.07934."}