DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention

DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention | Route /signal-canvas/dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention",
    "query_text": "Summarize DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention",
  "normalized_query": "2603.08026",
  "route": "/signal-canvas/dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention",
  "paper_ref": "dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention

PDF: https://arxiv.org/pdf/2603.08026v1

Source count: Pending verification

Coverage: 17%

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

Signal Canvas receipt window

Watch and verify: DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention

/buildability/dyllm-efficient-diffusion-llm-inference-via-saliency-based-token-selection-and-partial-attention

Watchwatch

Subject: DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface