Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/emergent-neural-automaton-policies-learning-symbolic-structure-from-visuomotor-trajectories

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Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-03-30
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 72
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 emergent-neural-automaton-policies-learning-symbolic-structure-from-visuomotor-trajectories | Route /signal-canvas/emergent-neural-automaton-policies-learning-symbolic-structure-from-visuomotor-trajectories

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/emergent-neural-automaton-policies-learning-symbolic-structure-from-visuomotor-trajectories

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: 72

Proof: Verification pending

Freshness state: computing

Source paper: Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

PDF: https://arxiv.org/pdf/2603.25903v1

Source count: 3

Coverage: 50%

Last proof check: 2026-03-30T22:26:54.564Z

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Watch and verify: Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

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Subject: Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

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Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories

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