Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification | Signal Canvas | ScienceToStartup

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Signal Canvas proof surface

Canonical route: /signal-canvas/demographic-fairness-in-multimodal-llms-a-benchmark-of-gender-and-ethnicity-bias-in-face-verification

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
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 demographic-fairness-in-multimodal-llms-a-benchmark-of-gender-and-ethnicity-bias-in-face-verification | Route /signal-canvas/demographic-fairness-in-multimodal-llms-a-benchmark-of-gender-and-ethnicity-bias-in-face-verification

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/demographic-fairness-in-multimodal-llms-a-benchmark-of-gender-and-ethnicity-bias-in-face-verification

MCP example

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  }
}

source_context

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  "query": "Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification",
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  "topic_slug": null,
  "benchmark_ref": null,
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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

PDF: https://arxiv.org/pdf/2603.25613v1

Source count: Pending verification

Coverage: 17%

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

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Not build-ready: Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

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Subject: Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

Verdict

Ignore

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

Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

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