MUSE: Machine Unlearning Six-Way Evaluation for Language Models | Paper Citation Record

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Provable unlearning in topic modeling and downstream tasks cites this paper.

Provable unlearning in topic modeling and downstream tasks MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 68

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SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? cites this paper.

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 48

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Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning cites this paper.

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 48

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Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification cites this paper.

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 22

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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 MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 37

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Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 118

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Position: Adversarial ML for LLMs Is Not Making Any Progress cites this paper.

Position: Adversarial ML for LLMs Is Not Making Any Progress MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 48

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Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond cites this paper.

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 17

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A mean teacher algorithm for unlearning of language models cites this paper.

A mean teacher algorithm for unlearning of language models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 33

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Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation cites this paper.

Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 32

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Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning cites this paper.

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 55

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GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 81

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DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 52

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Soft Weighted Machine Unlearning cites this paper.

Soft Weighted Machine Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 47

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Existing Large Language Model Unlearning Evaluations Are Inconclusive cites this paper.

Existing Large Language Model Unlearning Evaluations Are Inconclusive MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 30

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Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning cites this paper.

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 21

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LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 42

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SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 22

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Observation e2d4e09b-22ed-4b89-9cc6-e72f5ad8c016 · inbound

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models cites this paper.

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 29

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UCD: Unlearning in LLMs via Contrastive Decoding cites this paper.

UCD: Unlearning in LLMs via Contrastive Decoding MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 29

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Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 24

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Learning-Time Encoding Shapes Unlearning in LLMs cites this paper.

Learning-Time Encoding Shapes Unlearning in LLMs MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 20

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Observation c3c0b5c8-9c90-44da-8381-c5a14048f384 · inbound

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap cites this paper.

BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 11

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Observation 5424afb6-2c5a-4f12-853f-4b303c3e455c · inbound

Revisiting the Past: Data Unlearning with Model State History cites this paper.

Revisiting the Past: Data Unlearning with Model State History MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 33

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Observation 2cd7d9ee-e5a3-4973-b8a2-4d72d9ec25b7 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 2

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Generative Model Unlearning: A Survey through Target Events, Unlearning Operators, and Evaluation Protocols cites this paper.

Generative Model Unlearning: A Survey through Target Events, Unlearning Operators, and Evaluation Protocols MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 199

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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing cites this paper.

Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 33

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Towards Evaluation for Real-World LLM Unlearning cites this paper.

Towards Evaluation for Real-World LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 32

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Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection cites this paper.

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 32

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Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 7

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Observation d5284694-caef-428d-943e-5b3e02829325 · inbound

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding cites this paper.

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 36

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Observation bbdbad17-7e58-410f-8dc3-1c8951360247 · inbound

Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure cites this paper.

Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 7

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Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning cites this paper.

Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 8

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Observation dfb8a17f-185d-4a12-9cea-53a8c1f74f1d · inbound

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning cites this paper.

Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 23

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Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 29

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Observation eba51e6c-1fb3-4b13-9b9d-01d58ec8e8b0 · inbound

WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework cites this paper.

WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 17

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b6d0106-1bed-4227-8bdc-e731756d73c6 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 73

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Observation 57a917fe-4c04-4b85-a573-771860fcc28d · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 73

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Observation 0e07f16e-504c-44db-b0f7-10bfaebc619c · inbound

Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure cites this paper.

Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 7

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Observation 4b7f5735-28f5-4fc1-9da7-2fefddbc0db3 · inbound

Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score cites this paper.

Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 7

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Observation a6c81422-ca93-4f1b-8059-cc15fc64203f · inbound

Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score cites this paper.

Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 7

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Observation 841c9ec5-6578-4174-8d35-b6866b143533 · inbound

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models cites this paper.

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 26

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Observation 8a9e81d0-39a4-48b3-88b1-6202daedc88a · inbound

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models cites this paper.

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 26

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Observation 2a873adb-dd16-4a26-abd6-8c539d9214f1 · inbound

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter cites this paper.

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:06:59.999340Z

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Observation 4baaf2d9-a048-467d-9c7f-6d0fd4ba6ad7 · inbound

Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation cites this paper.

Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:13:30.064610Z

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Observation 3af74a01-7bdf-478f-8129-dc3d43b6dc95 · inbound

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models cites this paper.

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:49:35.714159Z

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Observation 457b952f-df6e-4b88-8bc7-37521c5f1998 · inbound

MAAT: Multi-phase Adapter-Aware Targeted Unlearning cites this paper.

MAAT: Multi-phase Adapter-Aware Targeted Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.542892Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90030ed3-5098-4213-be49-d2070ffa697d · inbound

De-attribute to Forget for LLM Unlearning cites this paper.

De-attribute to Forget for LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:52:49.581581Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c250104-6699-4201-be1c-bcffd617142b · inbound

De-attribute to Forget for LLM Unlearning cites this paper.

De-attribute to Forget for LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 9

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Observation 8238007e-411a-4bb2-afc6-a92cd9604c98 · inbound

Fast Unlearning at Scale via Margin Self-Correction cites this paper.

Fast Unlearning at Scale via Margin Self-Correction MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:26:18.062533Z

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Observation a07a52d5-52c7-4b21-8e3a-03d557c2b485 · inbound

Validity Threats for Foundation Model Research cites this paper.

Validity Threats for Foundation Model Research MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:36:44.922679Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 879dc37d-5290-4da2-bcb4-1eb5bd83786a · inbound

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference cites this paper.

REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.461974Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af338a49-efe6-4894-b39e-acdf64e19021 · inbound

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models cites this paper.

TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:38:19.408677Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 633aad87-478b-4d8c-a1c5-5bcfb818f2b8 · inbound

RepSelect: Robust LLM Unlearning via Representation Selectivity cites this paper.

RepSelect: Robust LLM Unlearning via Representation Selectivity MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:58:47.242685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f61c7d5a-09cf-4579-a4d0-d353e1896213 · inbound

PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning cites this paper.

PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:38:58.438059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9cae196f-d660-46f0-a27a-de7f16e113a4 · inbound

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty cites this paper.

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:23.805210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0decda2f-d75e-4e09-9462-3e134a1145ed · inbound

Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization cites this paper.

Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T08:04:14.297636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddcaab05-540d-4ce4-be78-b8944bc4a1d5 · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.900780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4836a0-1618-472d-be62-eebdb085f86e · inbound

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning cites this paper.

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T14:53:55.889424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cedb814f-d7ea-4431-aac1-e52433d7be06 · inbound

Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery Robustness cites this paper.

Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery Robustness MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T14:42:57.226963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f194926-2e08-48a9-9198-f9faa0fb5e09 · inbound

Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies cites this paper.

Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:46.603109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede6e981-d000-4367-8356-5d5a0cbe2c41 · inbound

GROM: Gradient-Free Rapid One-Shot Machine Unlearning cites this paper.

GROM: Gradient-Free Rapid One-Shot Machine Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T23:36:41.730207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers