Constrained latent state modeling: A unifying perspective on representation learning under competing constraints

Constrained latent state modeling: A unifying perspective on representation learning under competing constraints | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/constrained-latent-state-modeling-a-unifying-perspective-on-representation-learning-under-competing-constraints

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Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-05-18
Score updated: 2026-05-18
Score fresh until: 2026-06-17
References: 0
Source count: 4
Coverage: 67%

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 constrained-latent-state-modeling-a-unifying-perspective-on-representation-learning-under-competing-constraints | Route /signal-canvas/constrained-latent-state-modeling-a-unifying-perspective-on-representation-learning-under-competing-constraints

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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: Constrained latent state modeling: A unifying perspective on representation learning under competing constraints

PDF: https://arxiv.org/pdf/2605.15995v1

Repository: https://github.com/gwenole-quellec/clsm

Source count: 4

Coverage: 67%

Last proof check: 2026-05-18T20:33:44.838Z

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Subject: Constrained latent state modeling: A unifying perspective on representation learning under competing constraints

Constrained latent state modeling: A unifying perspective on representation learning under competing constraints

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