Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints

Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/unlearning-in-diffusion-models-a-unified-framework-with-kl-divergence-and-likelihood-constraints

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Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-06-01
Score updated: 2026-06-01
Score fresh until: 2026-07-01
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 unlearning-in-diffusion-models-a-unified-framework-with-kl-divergence-and-likelihood-constraints | Route /signal-canvas/unlearning-in-diffusion-models-a-unified-framework-with-kl-divergence-and-likelihood-constraints

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MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints

PDF: https://arxiv.org/pdf/2605.30825v1

Source count: 3

Coverage: 50%

Last proof check: 2026-06-01T20:32:59.358Z

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Not build-ready: Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints

/buildability/unlearning-in-diffusion-models-a-unified-framework-with-kl-divergence-and-likelihood-constraints

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Subject: Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints

Verdict

Ignore

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

Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints

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