Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-05-06
Score updated: 2026-05-06
Score fresh until: 2026-06-05
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 unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks | Route /signal-canvas/unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks

MCP example

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    "mode": "paper",
    "paper_ref": "unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks",
    "query_text": "Summarize Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks"
  }
}

source_context

{
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  "mode": "paper",
  "query": "Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks",
  "normalized_query": "2605.03598",
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  "paper_ref": "unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks",
  "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: Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks

PDF: https://arxiv.org/pdf/2605.03598v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-06T20:27:50.040Z

Signal Canvas receipt window

Not build-ready: Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks

/buildability/unifying-dynamical-systems-and-graph-theory-to-mechanistically-understand-computation-in-neural-networks

Ignoreblocked

Subject: Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks

Verdict

Ignore

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

Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks

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