Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T16:10:12.689957Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2603.28730.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-07-13T16:10:12.689957Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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76 of 76 outbound references displayed
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Vision-Language Models as Success Detectors
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning GPT-4o System Card
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning $\pi^{*}_{0.6}$: a VLA That Learns From Experience
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Observation 7c10364a-a134-4915-bea2-4dc4370cfd46 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning and Berg-Kirkpatrick, T
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning OpenVLA: An Open-Source Vision-Language-Action Model
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Let's Verify Step by Step
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Observation 342f070f-c0a6-4305-b008-e204e5b415bb · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Unresolved cited work
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Observation 7baa9a60-b7cb-47c7-ae76-730587a39393 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning L., Berg, J., Sharma, A., Schaal, S., Finn, C., Gupta, A., and Levine, S
Reference 30
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Observation c5b4e255-8cd4-44c7-b2db-b736049f7868 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Unresolved cited work
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Observation 51f198e4-d4b5-4957-a463-d0b23162bab7 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Unresolved cited work
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Observation 0e9d3458-f541-44cc-bb1f-2ae14dbf8d0c · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
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Reference 34
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Observation 6d0827d1-adc2-4eab-bcd0-d3b0fc0e9b57 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Vision Language Models are In-Context Value Learners
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Observation 1af7843f-5822-4b11-b749-04224eecdc08 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning J., Kumar, V ., Zhang, A., Bastani, O., and Jayaraman, D
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Observation 00521669-6dec-42f6-945a-8f2473994a8e · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
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Observation 5880f5f0-3f52-4486-a046-4f97ab4df8ca · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Continuously Improving Mobile Manipulation with Autonomous Real-World RL
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Observation 5de3b609-1808-437b-a62d-46500b7d2574 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
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Observation 451c0277-5997-4e89-aeab-2e8b5d7e67de · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Reference 40
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Observation 64cf7f14-e689-4011-b9e2-ba1b2b6d5818 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Y ., Harada, D., and Russell, S
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Spacethinker dataset
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Unresolved cited work
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning OpenAI GPT-5 System Card
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Observation 71b8a253-e382-444a-82bd-f86446f8b43c · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Unresolved cited work
Reference 53
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Observation 91189df2-b21b-4b71-b119-1d036bc5e6ac · outbound
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Reference 54
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Real-World Offline Reinforcement Learning from Vision Language Model Feedback
Reference 55
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Observation 8e582b40-d12d-421b-8bb9-ac4cc3893c17 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Code as Reward: Empowering Reinforcement Learning with VLMs
Reference 56
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Observation 6a8c27e3-8764-4a95-9a01-36ee6c1cc348 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Steering Your Diffusion Policy with Latent Space Reinforcement Learning
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Unresolved cited work
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning Rank2Reward: Learning Shaped Reward Functions from Passive Video
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SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning GRAPE: Generalizing Robot Policy via Preference Alignment
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Observation b32a9b70-1144-4ada-b084-601e50e53e42 · outbound
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning To prevent optimistic extrapolation and reward hacking, training data must include authentic non-expert behaviors spanning varying degrees of task completion
Reference 75
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Reference 76
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