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  3. Reinforce to Learn, Elect to Reason: A Dual Paradigm for Vid
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Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning

Fresh8d ago
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Evidence Receipt

Freshness: 2026-04-07T20:12:52.192841+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning

PDF: https://arxiv.org/pdf/2604.04379v1

Source count: 0

Coverage: 0%

Last proof check: 2026-04-07T20:12:52.192Z

Paper Conversation

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Paper Mode

Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning

Overall score: 7/10
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Canonical Paper Receipt

Last verification: 2026-04-07T20:12:52.192Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 0%

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Dimensions overall score 7.0

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Builds On This
Native Reasoning Models: Training Language Models to Reason on Unverifiable Data
Score 6.0down
Prior Work
Seeing with You: Perception-Reasoning Coevolution for Multimodal Reasoning
Score 7.0stable
Prior Work
Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
Score 7.0stable
Prior Work
Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs
Score 7.0stable
Prior Work
$\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solving
Score 7.0stable
Prior Work
Reinforcing Structured Chain-of-Thought for Video Understanding
Score 7.0stable
Prior Work
Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR
Score 7.0stable
Competing Approach
Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
Score 7.0stable

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