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Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing

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Evidence Receipt

Freshness: 2026-04-10T17:22:54.133971+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing

PDF: https://arxiv.org/pdf/2604.07747v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-10T17:40:59.697Z

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Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing

Overall score: 5/10
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Canonical Paper Receipt

Last verification: 2026-04-10T17:40:59.697Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

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Dimensions overall score 5.0

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Builds On This
HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation
Score 4.0down
Higher Viability
KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance
Score 8.0up
Higher Viability
HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models
Score 8.0up
Higher Viability
Learning to Hint for Reinforcement Learning
Score 7.0up
Higher Viability
Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning
Score 7.0up
Competing Approach
Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning
Score 5.0stable
Competing Approach
Reinforcement-aware Knowledge Distillation for LLM Reasoning
Score 5.0stable
Competing Approach
HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation
Score 4.0down

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