Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization | Paper Citation Record

Observation 0824279e-b1b2-48f0-90fc-9e29c3eb427d · outbound

This paper cites Qwen2.5-VL Technical Report.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Qwen2.5-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.219986Z

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Observation 51bd245e-7b26-474a-af68-f51e37231b67 · outbound

This paper cites Seed1.5-VL Technical Report.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Seed1.5-VL Technical Report

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:06.820639Z

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Observation d4849641-f7b0-4652-aea1-879283ec4a98 · outbound

This paper cites Visual sketchpad: Sketching as a visual chain of thought for multimodal language models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Visual sketchpad: Sketching as a visual chain of thought for multimodal language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.448632Z

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Observation 57061bdd-2297-40f8-8564-6eed3fef0bba · outbound

This paper cites Thinking with images.https://openai.com/index/thinking-with-images/.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Thinking with images.https://openai.com/index/thinking-with-images/

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.451898Z

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Observation c76b4e67-8fd3-4a5c-a447-1bf63fb47abe · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:42:57.181531Z

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Observation 2734c21c-f751-4c00-b0be-0b6995e451fe · outbound

This paper cites Thyme: Think Beyond Images.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Thyme: Think Beyond Images

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:33:29.495992Z

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Observation 5faa6fd7-50f9-480d-be80-305e691693eb · outbound

This paper cites Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:17:55.768539Z

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Observation 0a36ce3a-39eb-4ed4-a0ae-01d8473eebaf · outbound

This paper cites Deep but reliable: Advancing multi-turn reasoning for thinking with images.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Deep but reliable: Advancing multi-turn reasoning for thinking with images

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.046372Z

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Observation 91322220-7493-4638-8c19-141e56fe2a83 · outbound

This paper cites Llavanext: Improved reasoning, ocr, and world knowledge.https://llava-vl.github.io/blog/ 2024-01-30-llava-next/.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Llavanext: Improved reasoning, ocr, and world knowledge.https://llava-vl.github.io/blog/ 2024-01-30-llava-next/

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.542218Z

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Observation 99136b9d-790d-456a-8fd8-33e6f24f0326 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.049454Z

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Observation 14d5b53b-7dab-4662-a12b-6e333a1b4f5e · outbound

This paper cites Kwai Keye-VL Technical Report.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Kwai Keye-VL Technical Report

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.095758Z

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Observation b602e8d3-fff2-446a-bea0-0b11e78b8181 · outbound

This paper cites Ovis2.5 Technical Report.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Ovis2.5 Technical Report

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:30:17.288454Z

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Observation 9c676ea5-6e55-4fa4-b1ba-e95346b6a391 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Learning transferable visual models from natural language supervision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.535839Z

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Observation 74bfbb62-cd82-4e0c-a785-3622ec31e4ba · outbound

This paper cites BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.539324Z

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Observation ed505a88-b6fd-424b-ae49-9b8d9cf4d93c · outbound

This paper cites BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.557477Z

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Observation aef8e27e-8660-4c24-a180-2b865840a4e7 · outbound

This paper cites Sigmoid loss for language image pre- training.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Sigmoid loss for language image pre- training

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.554326Z

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Observation 7e46cd40-1d3d-4923-ae93-887f65da2b20 · outbound

This paper cites Show and tell: A neural image caption generator.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Show and tell: A neural image caption generator

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.517695Z

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Observation 24f1d174-58b8-41e1-8930-5bd8892a1e65 · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Show, attend and tell: Neural image caption generation with visual attention

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.486859Z

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Observation 1affeafd-4778-41de-8ea4-492c579c9f8c · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Flamingo: a visual language model for few-shot learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.499234Z

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Observation e592f24f-5b3f-44e7-bd48-d6409248ea92 · outbound

This paper cites Visual instruction tuning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Visual instruction tuning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.512973Z

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Observation 3e6fb234-22c5-4528-ab7b-002c0213761a · outbound

This paper cites Language models are few-shot learners.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Language models are few-shot learners

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.551624Z

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Observation 1aad9eaf-692c-4b6c-9d23-69756211b4d7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.208622Z

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Observation e885d802-26b6-456e-bc1a-5c0a1868753f · outbound

This paper cites Training language models to follow instructions with human feedback.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Training language models to follow instructions with human feedback

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.458674Z

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Observation 5a98bd98-33e3-4111-8a37-9cf928554a1f · outbound

This paper cites Improved baselines with visual instruction tuning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Improved baselines with visual instruction tuning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.528701Z

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Observation a0cfa46d-cecd-4c59-b462-3ed711aa4c48 · outbound

This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, page 220101.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, page 220101

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.548450Z

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Observation f859988a-690c-41bb-97c1-c087a1441a09 · outbound

This paper cites Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.545536Z

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Observation 9c2bf4f9-43de-4769-aff3-12657367f6ae · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.212455Z

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Observation e937d26b-8bb0-4fb0-b115-b42e3001aba0 · outbound

This paper cites Qwen3-VL Technical Report.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Qwen3-VL Technical Report

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.200508Z

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Observation dc01909e-d858-4ee6-975c-c22717e2873b · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.462568Z

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Observation dbb5e3f9-8286-4f06-a8c7-c91cfe99e2a7 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.204490Z

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Observation ef8d8350-e08d-4672-ad60-e45d15abe2c8 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.062623Z

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Observation c5a2c74d-25d1-474d-85cf-87a7b22718e4 · outbound

This paper cites Ovis: Structural Embedding Alignment for Multimodal Large Language Model.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.076778Z

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Observation 749cd877-3525-4518-b60b-54876c5b3f08 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization LLaVA-OneVision: Easy Visual Task Transfer

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.192737Z

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Observation d3cff9b5-13fd-4e3f-a775-4f383422ced1 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Multimodal Chain-of-Thought Reasoning in Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:12:27.664923Z

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Observation eff8e9f7-7997-4900-91e8-1a4f2be97088 · outbound

This paper cites an unresolved cited work.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-17T05:14:05.531990Z

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Observation b6ecd65e-7569-467c-8290-ccb324a1b228 · outbound

This paper cites Satori-r1: Incentivizing multimodal reasoning through explicit visual anchoring.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Satori-r1: Incentivizing multimodal reasoning through explicit visual anchoring

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.180651Z

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Observation fd9edc39-c727-4ea7-9be8-a6c37f628a02 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:30:15.750849Z

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Observation 745a9d40-ea66-4c4d-bbf3-3a16a50535e7 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Toolformer: Language models can teach themselves to use tools

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.476636Z

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Observation 67f11fdf-69db-492a-b679-a7bfa042a3a2 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization React: Synergizing reasoning and acting in language models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.473160Z

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Observation fd2f3094-b3b1-469d-aeba-98b6bcbed5c5 · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:17:58.977376Z

Source-reported events for the cited work

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Observation dec36dd2-bf1e-4ce1-9f0c-2b9e015ebdbf · outbound

This paper cites Visual programming: Compositional visual reasoning without train- ing.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Visual programming: Compositional visual reasoning without train- ing

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.483554Z

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Observation 3a1d39f3-e894-4a73-ba7c-f4e92d44d3e4 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:21:45.673967Z

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Observation 0732976c-d11f-4b3f-933b-3480377d370d · outbound

This paper cites Proximal Policy Optimization Algorithms.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Proximal Policy Optimization Algorithms

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.162903Z

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Observation 212f6652-4e15-4cbe-b609-52ebbbbe7b1a · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.116532Z

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Observation a90c4980-cc53-440d-a8c2-8112c29fea9a · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.059446Z

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Observation f020a5f1-104d-4d5c-b581-f4def7661036 · outbound

This paper cites Group Sequence Policy Optimization.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Group Sequence Policy Optimization

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.184268Z

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Observation 4ee9354d-9266-4470-b354-2f84ff34aca4 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Kimi K2: Open Agentic Intelligence

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.069676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 7b074a6a-42d9-4f4d-b6d9-ebadc9e61e0c · outbound

This paper cites WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:56:24.054213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 5cd4db6e-d670-4757-9327-b65a1ed2e3eb · outbound

This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization WebSailor: Navigating Super-human Reasoning for Web Agent

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:37:09.773663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 13040d64-8ccd-45cf-b01d-be7d383320dc · outbound

This paper cites WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.158468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation fb5d1019-2f23-4e62-9b69-c82919ee8576 · outbound

This paper cites Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:45:50.167268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 91ff23a9-3d9f-4891-9a74-03c8c64502b9 · outbound

This paper cites SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.171881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 83bf4041-421f-4799-826c-c324198a0115 · outbound

This paper cites Explorer: Scaling exploration-driven web trajectory synthesis for multimodal web agents.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Explorer: Scaling exploration-driven web trajectory synthesis for multimodal web agents

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.502562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 943c6789-6844-4526-b83a-c2c61459f484 · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:13:34.687091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 65d14b92-343e-4f1f-b38a-dfc12d969005 · outbound

This paper cites Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:34:23.540456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 3a010412-b2be-4ea9-be83-e9400d76d655 · outbound

This paper cites Latent sketchpad: Sketching visual thoughts to elicit multimodal reasoning in mllms.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Latent sketchpad: Sketching visual thoughts to elicit multimodal reasoning in mllms

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.145785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 17de2ce0-8681-41ed-b83c-c66a1fa2614b · outbound

This paper cites Monet: Reasoning in latent visual space beyond images and language.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Monet: Reasoning in latent visual space beyond images and language

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.149921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation e1aa2929-42ee-4b61-91c8-3aa65be2d3db · outbound

This paper cites Latent Visual Reasoning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Latent Visual Reasoning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:41:30.500607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 598ea679-32ab-4f53-878f-369b9ebb2ee2 · outbound

This paper cites Interleaved latent visual reasoning with selective perceptual modeling.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Interleaved latent visual reasoning with selective perceptual modeling

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.087660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 31f3e513-db5e-4382-af03-15f82102ef10 · outbound

This paper cites DeepEyesV2: Toward Agentic Multimodal Model.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization DeepEyesV2: Toward Agentic Multimodal Model

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:32:29.694372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 052aa34e-c3d5-4b46-8620-57bb85519c02 · outbound

This paper cites Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:35:13.359401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 4101407c-c167-430d-89bf-2f14a241def1 · outbound

This paper cites Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:22:27.090901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation f5beb4e0-9243-4940-a28a-9be871b815b3 · outbound

This paper cites High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.112672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 98f7b2a9-196c-4e0a-bc8e-28aa5b145015 · outbound

This paper cites MMSearch-R1: Incentivizing LMMs to Search.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization MMSearch-R1: Incentivizing LMMs to Search

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:27:04.573030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation f55e675c-9e83-4278-b74b-1bb613346095 · outbound

This paper cites VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.083817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a3849417-c099-4ddc-a179-1b1a96fbc4f9 · outbound

This paper cites ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-06-09T03:07:59.867366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 68a4a4b5-454f-45a1-b45a-c0602ff4824d · outbound

This paper cites Thinking with programming vision: Towards a unified view for thinking with images.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Thinking with programming vision: Towards a unified view for thinking with images

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.133336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 0d0649de-7dc6-4641-9d38-0bd76b0a6402 · outbound

This paper cites Vacot: Rethinking visual data augmentation with vlms.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Vacot: Rethinking visual data augmentation with vlms

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:50.052410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 260d141c-5131-4670-8b54-78b2e1aa3899 · outbound

This paper cites arXiv preprint arXiv:2602.12916 , year=.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization arXiv preprint arXiv:2602.12916 , year=

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:45:50.141554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 04c301e5-6b5e-4bec-b822-39af19c9d3ae · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Hybridflow: A flexible and efficient rlhf framework

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.466157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 605af6cb-b296-4c94-a8a3-a7e2f7df4831 · outbound

This paper cites Momentum-based variance reduction in non-convex sgd.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Momentum-based variance reduction in non-convex sgd

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.509515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 6ec6489e-66a8-4588-873a-de8b58b255bf · outbound

This paper cites Gpt-5 system card.https://cdn.openai.com/gpt-5-system-card.pdf.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Gpt-5 system card.https://cdn.openai.com/gpt-5-system-card.pdf

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.455333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 289660dd-1155-4bb1-9317-45204dd24262 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:45:50.137506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 898d3559-3658-4270-b87a-7cb07bf1ace5 · outbound

This paper cites V?: Guided visual search as a core mechanism in multimodal llms.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization V?: Guided visual search as a core mechanism in multimodal llms

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.490077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation a3d5a24d-02da-4bce-99e1-d61d13540fdb · outbound

This paper cites Divide, conquer and combine: a training-free framework for high-resolution image perception in multimodal large lan- guage models.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Divide, conquer and combine: a training-free framework for high-resolution image perception in multimodal large lan- guage models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.493060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation c18c734a-b9b2-4098-9036-f621d47f9e38 · outbound

This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:59:32.958879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation cc9c9c16-8d6b-44c9-b715-aab5dc443c4b · outbound

This paper cites an unresolved cited work.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-05-17T05:14:05.495829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 548b0822-a4b1-491f-8913-215fcdb13900 · outbound

This paper cites Varr(ˆgout|τ) =∥∇ θ logπ(τ)∥ 2 ·Var(r out) =C τ ·σ 2 out (21) Varr(ˆgsem|τ) =∥∇ θ logπ(τ)∥ 2 ·Var(r sem) =C τ ·σ 2 sem (22) whereC τ =∥∇ θ logπ(τ)∥ 2.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Varr(ˆgout|τ) =∥∇ θ logπ(τ)∥ 2 ·Var(r out) =C τ ·σ 2 out (21) Varr(ˆgsem|τ) =∥∇ θ logπ(τ)∥ 2 ·Var(r sem) =C τ ·σ 2 sem (22) whereC τ =∥∇ θ logπ(τ)∥ 2

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.524735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 1acc7250-554a-45a4-94eb-41be46b8fce1 · outbound

This paper cites an unresolved cited work.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-05-17T05:14:05.469357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation abf79b2a-3732-49bc-abe1-de71f31464d2 · outbound

This paper cites an unresolved cited work.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-05-17T05:14:05.521174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 57af2e20-13f1-428d-8ffc-563dc82ad2a8 · outbound

This paper cites type":"function.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization type":"function

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.480070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

Observation 3cea1cd7-16df-420a-9025-49d5f5ac1de9 · outbound

This paper cites The input image resolution is dynamically handled, with a pixel constraint range of[10 6,2×10 6]pixels to support high-resolution visual reasoning.

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization The input image resolution is dynamically handled, with a pixel constraint range of[10 6,2×10 6]pixels to support high-resolution visual reasoning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T05:14:05.506196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

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Reference resolution

Outbound references

Pith citing papers