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  1. Home
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  3. FlashSampling: Fast and Memory-Efficient Exact Sampling
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FlashSampling: Fast and Memory-Efficient Exact Sampling

Stale17d ago
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Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

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

Claims: 7

References: 0

Proof: verified

Freshness: stale

Source paper: FlashSampling: Fast and Memory-Efficient Exact Sampling

PDF: https://arxiv.org/pdf/2603.15854v1

Repository: https://github.com/FlashSampling/FlashSampling

Source count: 0

Coverage: 50%

Last proof check: 2026-03-18T22:54:37.070Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

FlashSampling: Fast and Memory-Efficient Exact Sampling

Overall score: 8/10
Lineage: 7495dc50a53c…
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Canonical Paper Receipt

Last verification: 2026-03-18T22:54:37.070Z

Freshness: stale

Proof: verified

Repo: active

References: 0

Sources: 0

Coverage: 50%

Missingness
  • - references
  • - distribution_readiness_scores
  • - paper_extraction_scorecards
Unknowns
  • - distribution readiness has not been computed yet

Mode Notes

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  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 8.0

GitHub Code Pulse

Stars
64
Health
C
Last commit
4/2/2026
Forks
5
Open repository

Key claims

Strong 6Mixed 0Weak 1

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Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models
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MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale
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Prior Work
98$\times$ Faster LLM Routing Without a Dedicated GPU: Flash Attention, Prompt Compression, and Near-Streaming for the vLLM Semantic Router
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FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding
Score 8.0stable
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LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models
Score 8.0stable

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3yr ROI

6-15x

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