Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/optimizing-multi-agent-weather-captioning-via-text-gradient-descent-a-training-free-approach-with-consensus-aware-gradie

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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%

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Agent Handoff

Canonical ID optimizing-multi-agent-weather-captioning-via-text-gradient-descent-a-training-free-approach-with-consensus-aware-gradie | Route /signal-canvas/optimizing-multi-agent-weather-captioning-via-text-gradient-descent-a-training-free-approach-with-consensus-aware-gradie

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/optimizing-multi-agent-weather-captioning-via-text-gradient-descent-a-training-free-approach-with-consensus-aware-gradie

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

PDF: https://arxiv.org/pdf/2603.21673v1

Source count: Pending verification

Coverage: 17%

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

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Watch and verify: Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

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Watchwatch

Subject: Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

Verdict

Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

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