LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks | Signal Canvas | ScienceToStartup

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Signal Canvas proof surface

Canonical route: /signal-canvas/llm-grounded-explainability-for-port-congestion-prediction-via-temporal-graph-attention-networks

stale

Proof freshness: stale
Proof status: unverified
Display score: 6/10
Last proof check: 2026-03-19
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 33%

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 llm-grounded-explainability-for-port-congestion-prediction-via-temporal-graph-attention-networks | Route /signal-canvas/llm-grounded-explainability-for-port-congestion-prediction-via-temporal-graph-attention-networks

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/llm-grounded-explainability-for-port-congestion-prediction-via-temporal-graph-attention-networks

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: LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

PDF: https://arxiv.org/pdf/2603.04818v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-03-19T18:48:05.835Z

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Watch and verify: LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

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Subject: LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

Verdict

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

LLM-Grounded Explainability for Port Congestion Prediction via Temporal Graph Attention Networks

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