Perception-R1: Pioneering Perception Policy with Reinforcement Learning | Paper Citation Record

Observation ae8d8474-6395-471d-9ed2-dad6e7b3dcb0 · inbound

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models cites this paper.

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 134

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Observation 3363e78c-dbd3-49b5-a566-eea2ce310682 · inbound

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning cites this paper.

UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 64

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Observation 131b1d12-7e74-488f-9639-5a66260a5684 · inbound

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning cites this paper.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 58

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Observation 54ee01f6-ba4b-4c0a-bea4-e51e7d7f9665 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 88

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Observation 512576cf-8bdd-4828-88db-3d113f7ce37f · inbound

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning cites this paper.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:54.235680Z

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Observation d68c3269-b1d9-48f9-8ace-48cd4b1d7387 · inbound

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 62

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Observation 3a2ae015-0241-454b-8d78-6ab933a81cb4 · inbound

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time cites this paper.

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 78

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Observation f6575182-2a03-4c9a-a160-4fad195fd962 · inbound

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning cites this paper.

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 67

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Observation d120e7ae-903b-489a-aa89-14f38d5d8a2f · inbound

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning cites this paper.

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:05.125750Z

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Observation b2f7a081-d9ec-4414-bb4c-2ecd80e87187 · inbound

Efficient Medical VIE via Reinforcement Learning cites this paper.

Efficient Medical VIE via Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 53

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Observation 318971f5-3c8e-4986-9e14-17882b99da2e · inbound

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning cites this paper.

PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 45

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Observation b5c2021d-9678-414a-904f-2e5d2f55041b · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:52:07.981908Z

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Observation ca86a00a-d62e-4365-a261-53a173b04924 · inbound

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models cites this paper.

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:29:16.461188Z

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Observation 05bd08eb-7222-4cb6-880d-87c3c8d19e68 · inbound

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal cites this paper.

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:25:49.286524Z

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Observation b47c1fe3-3739-4914-b810-0b8a7b30ce6a · inbound

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models cites this paper.

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 107

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Observation 09e4aa05-6496-48db-a02d-4fc0d6edfcf2 · inbound

VIDEOP2R: Video Understanding from Perception to Reasoning cites this paper.

VIDEOP2R: Video Understanding from Perception to Reasoning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:25:22.654708Z

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Observation 2865d547-2a01-4168-afe4-567ee1a15d04 · inbound

OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.

OneThinker: All-in-one Reasoning Model for Image and Video Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:11:26.599580Z

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Observation 2dd413a9-b3c8-492c-8eac-b7f26b238764 · inbound

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension cites this paper.

RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 45

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Observation 71fe76fd-1a14-4f4b-bde2-9582ca997613 · inbound

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild cites this paper.

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:41:24.002284Z

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Observation 7a2cbe96-a7ea-458a-8649-21e4cc364f6a · inbound

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning cites this paper.

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 74

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Observation 1d764c15-923c-4e85-99a5-88fa76f4428e · inbound

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? cites this paper.

Can Textual Reasoning Improve the Performance of MLLMs on Fine-grained Visual Classification? Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:53:00.616722Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 134255b6-36c8-4b8f-ab2e-40551bd5d901 · inbound

CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning cites this paper.

CamReasoner: Reinforcing Camera Movement Understanding via Structured Spatial Reasoning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:02:42.508887Z

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Observation 1453a838-9af6-498b-a1f3-d2f3aca6e466 · inbound

PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment cites this paper.

PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T19:57:33.519473Z

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Observation 653f93b5-ec73-4dff-97e5-21730460aae8 · inbound

CodePercept: Code-Grounded Visual STEM Perception for MLLMs cites this paper.

CodePercept: Code-Grounded Visual STEM Perception for MLLMs Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 58

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Observation 83b88eaf-9ed7-4802-aeb5-e0b6c180f8db · inbound

V-Reflection: Transforming MLLMs from Passive Observers to Active Interrogators cites this paper.

V-Reflection: Transforming MLLMs from Passive Observers to Active Interrogators Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:58:28.586668Z

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Observation 03360d8f-d0ee-411e-aba6-b93696797b5d · inbound

Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models cites this paper.

Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:53.791165Z

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Observation 471b1c4a-5dc7-4667-8d48-6679a0729125 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 110

Resolution: verified exact; local_arxiv, observed 2026-07-05T11:41:02.677026Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b3b8c61-45ed-4b6e-b32b-58230ffa91b3 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:10.303502Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 013d3648-2590-407f-9943-9e8bc8b7be78 · inbound

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models cites this paper.

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:08.633735Z

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Observation 754de6ce-fdbc-4d95-8492-d22ba9e68312 · inbound

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding cites this paper.

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:08.342294Z

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Observation 3bc4e86f-2a6c-4127-9d6a-d4392f44e1d4 · inbound

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:09.309286Z

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Observation 9cc4566b-bd7b-40b5-8c5a-6c53122a417a · inbound

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression cites this paper.

Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:26.126862Z

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Observation a9c3f915-f5ba-46bf-b7f4-de634d8f2efa · inbound

Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model cites this paper.

Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:29.071938Z

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Observation aede9686-4b49-444d-97bf-70e3bd2a780f · inbound

Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model cites this paper.

Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:48:00.502847Z

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Observation 739c202d-54a7-48c9-a7a5-0a7ededea585 · inbound

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves cites this paper.

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:39:48.044228Z

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Observation c1c34f59-9dc7-4120-afc6-d10ba06562ba · inbound

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves cites this paper.

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:43:43.444374Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 048032d9-4f39-43d3-b943-7d2ca08caca8 · inbound

VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation cites this paper.

VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:38:56.151767Z

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Observation 772dcefb-41e5-4bf0-9feb-5315db61efca · inbound

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era cites this paper.

Reasoning Portability: Guiding Continual Learning for MLLMs in the RLVR Era Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 58

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Observation c023d8d4-1963-497e-8158-a53ef0397e09 · inbound

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models cites this paper.

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:28:04.573557Z

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Observation 8c666529-1689-4752-93a3-7448513c3cd5 · inbound

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization cites this paper.

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:15.876522Z

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Observation 3c63fc7a-baf4-4113-8d65-f3e6dcbb0f01 · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:09:54.977454Z

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Observation 00dc9687-0d54-45e4-9029-c3c156ae5d36 · inbound

Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning cites this paper.

Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual Reasoning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:26:58.415910Z

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Observation 35d974e9-fbad-4f29-9edf-19989a11d0e1 · inbound

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences cites this paper.

DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 57

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Observation 54621a2c-7471-45b4-94fc-9b72a41f2ae0 · inbound

Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment cites this paper.

Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 55

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Observation 141dcf71-7f39-4c77-a1a5-63b7bb52163e · inbound

IoU-PD: IoU-Aware Privileged Distillation for Visual Grounding with Multimodal Large Language Models cites this paper.

IoU-PD: IoU-Aware Privileged Distillation for Visual Grounding with Multimodal Large Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 120

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Observation 8cb68f21-faca-4452-8d73-7fbfea0e70dc · inbound

IoU-PD: IoU-Aware Privileged Distillation for Visual Grounding with Multimodal Large Language Models cites this paper.

IoU-PD: IoU-Aware Privileged Distillation for Visual Grounding with Multimodal Large Language Models Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 120

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Observation 86241d39-3a7a-48cf-b4fd-83c5afcb81af · inbound

Hi-Token: Hierarchical Coordinate Tokenization for Generative Visual Grounding cites this paper.

Hi-Token: Hierarchical Coordinate Tokenization for Generative Visual Grounding Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 118

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Observation 4189cd70-4d04-4c72-8181-5dc7d919a096 · inbound

SCOUT: Unlocking Enhanced Spatial Reasoning via Structured Chain-of-Thought and Multi-Objective Process Reward cites this paper.

SCOUT: Unlocking Enhanced Spatial Reasoning via Structured Chain-of-Thought and Multi-Objective Process Reward Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 52

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