Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
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 uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume | Route /signal-canvas/uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume",
    "query_text": "Summarize Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume",
  "normalized_query": "2602.24195",
  "route": "/signal-canvas/uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume",
  "paper_ref": "uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume",
  "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: Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

PDF: https://arxiv.org/pdf/2602.24195v1

Source count: Pending verification

Coverage: 17%

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

Signal Canvas receipt window

Watch and verify: Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

/buildability/uncertainty-quantification-for-multimodal-large-language-models-with-incoherence-adjusted-semantic-volume

Watchwatch

Subject: Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

Verdict

Watch

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

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

Use Signal Canvas as the narrative proof surface

Use this Signal Canvas via API or MCP

Signal Canvas proof surface