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  3. Adaptive Guidance for Retrieval-Augmented Masked Diffusion M
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Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models

PDF: https://arxiv.org/pdf/2603.17677v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models

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Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

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References: 0

Sources: 0

Coverage: 17%

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Builds On This
Understanding the Reversal Curse Mitigation in Masked Diffusion Models through Attention and Training Dynamics
Score 2.0down
Builds On This
Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
Score 4.0down
Builds On This
Sparsely Supervised Diffusion
Score 4.0down
Prior Work
EntRGi: Entropy Aware Reward Guidance for Diffusion Language Models
Score 5.0stable
Higher Viability
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
Score 7.0up
Higher Viability
Unifying Masked Diffusion Models with Various Generation Orders and Beyond
Score 6.0up
Higher Viability
Learning Context-Adaptive Motion Priors for Masked Motion Diffusion Models with Efficient Kinematic Attention Aggregation
Score 7.0up
Higher Viability
RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation
Score 7.0up

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