Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition

Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition | Signal Canvas | ScienceToStartup

Page Freshness

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Canonical route: /signal-canvas/hybrid-congestion-classification-framework-using-flow-guided-attention-and-empirical-mode-decomposition

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-05-07
Score updated: 2026-05-07
Score fresh until: 2026-06-06
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 hybrid-congestion-classification-framework-using-flow-guided-attention-and-empirical-mode-decomposition | Route /signal-canvas/hybrid-congestion-classification-framework-using-flow-guided-attention-and-empirical-mode-decomposition

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/hybrid-congestion-classification-framework-using-flow-guided-attention-and-empirical-mode-decomposition

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: Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition

PDF: https://arxiv.org/pdf/2605.04752v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-07T20:34:17.149Z

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Not build-ready: Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition

/buildability/hybrid-congestion-classification-framework-using-flow-guided-attention-and-empirical-mode-decomposition

Ignoreblocked

Subject: Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition

Verdict

Ignore

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

Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition

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