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Paper Citation Record · LEDGER

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.12777.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.12777 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:58.808212Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T23:16:24.611967Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 150cd519-5ed9-470c-b18f-56ebf94dff56 · inbound

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning cites this paper.

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:16:49.572410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:16:49.572410Z digest=sha256:d82eb880a412e08786df6dd7ae32e785c94d09bbe341b7582b962cd3cd285cb7

Observation 76acb422-f78c-4443-a7e2-e0e0303c7a4b · inbound

ACE: Anti-Editing Concept Erasure in Text-to-Image Models cites this paper.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:30:29.635757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:29.635757Z digest=sha256:459727191b4a7b75896471f8474642196a7a52c9775bd808f83b4e1c306d7cc2

Observation e5a65b83-adc6-4f71-a968-3181920fb00b · inbound

ForgetMe: Evaluating Selective Forgetting in Generative Models cites this paper.

ForgetMe: Evaluating Selective Forgetting in Generative Models Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T12:32:58.808212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:32:58.808212Z digest=sha256:b192c19a1ce24ddb72bfc7ed635834959f22399e462b830ba957feb5b238dfe8

Observation e68bce3d-2fe5-464f-b2c4-db09c1233093 · inbound

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts cites this paper.

Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T12:29:39.670194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:29:39.670194Z digest=sha256:b2c81d440cfb2712b2fe5e858cd27a236db89e03bd55f54bb58c04fb51706ff2

Observation 3e767700-9355-409a-ba1e-02c579cb7107 · inbound

Backdoor Defense in Diffusion Models via Spatial Attention Unlearning cites this paper.

Backdoor Defense in Diffusion Models via Spatial Attention Unlearning Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:42:30.160910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:30.160910Z digest=sha256:91583b6d0334ba3c28d71838cbe91f9e2a0cd7bcd929c3ec30562a0c2523fa05

Observation 6ee764f8-618a-4b98-a698-68a2050b6a50 · inbound

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy cites this paper.

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:14.557082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:14.557082Z digest=sha256:3a539044ac10ae83604fc340c868712711c4476c224811fd330f47c0a0854d00

Observation 043d15d0-338f-49b5-b116-86d31b0954c5 · inbound

Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns cites this paper.

Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T19:59:03.295846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:59:03.295846Z digest=sha256:d40a6f2a280eeff6b01c92ecf78acb9b1ebb39f0229c7e6de68ac478abfddeb2

Observation 73a12c38-e935-4d38-bb32-16b00a203dea · inbound

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models cites this paper.

CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion Models Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:16:24.613927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:28:30.844629Z digest=sha256:f4d633d738ef0f62ed898944851013019c682b068a60f1edcf3efc35cf635065

Observation a08eccf4-597d-4179-b087-cf1b982bb84f · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-02T10:20:54.737018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:20:54.737018Z digest=sha256:3006a127ea478410213f86b3d62eac685e1d3c80b953879f17898291e924924b

Observation 733ee8e4-4800-496d-8d65-e599f2ec57a9 · inbound

LU-500: A Logo Benchmark for Concept Unlearning cites this paper.

LU-500: A Logo Benchmark for Concept Unlearning Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T23:06:19.016522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:06:19.016522Z digest=sha256:223f596b055c9ce0e39f7caa3312ae0930342b3e41b8eeb57fa60478fcb1af76