Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning

Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning

stale

Proof freshness: stale
Proof status: unverified
Display score: 2/10
Last proof check: 2026-04-29
Score updated: 2026-04-29
Score fresh until: 2026-05-29
References: 0
Source count: 3
Coverage: 50%

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 rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning | Route /signal-canvas/rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning",
    "query_text": "Summarize Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning",
  "normalized_query": "2604.24938",
  "route": "/signal-canvas/rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning",
  "paper_ref": "rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning",
  "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: Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning

PDF: https://arxiv.org/pdf/2604.24938v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-29T20:29:49.375Z

Signal Canvas receipt window

Not build-ready: Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning

/buildability/rethinking-layer-redundancy-in-large-language-models-calibration-objectives-and-search-for-depth-pruning

Ignoreblocked

Subject: Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Rethinking Layer Redundancy in Large Language Models: Calibration Objectives and Search for Depth Pruning

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface