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Paper Citation Record · LEDGER

MUSE: Machine Unlearning Six-Way Evaluation for Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 62 inbound Pith citation observations for arXiv:2407.06460.

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

pith.paper-citation-record.v1
2407.06460 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 62 of 62 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 62 of 62 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:50.551418Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-03T21:38:58.436663Z

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Outbound references

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Pith citing papers

Observation 7cfe5f19-fc28-4410-9806-fa905941697d · inbound

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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source=arxiv_source observed=2026-08-12T17:31:06.823745Z digest=sha256:a257962fd1a5d52e2769e6faa5601359e6dea120e6687cf84b2dfd26cfa9874e

Observation e4beb9fb-b200-48e9-9000-95c87b717ebd · inbound

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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Observation 065b298f-7bc1-4c76-b6d8-e70ba4f6b894 · inbound

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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source=arxiv_source observed=2026-08-11T17:49:46.447333Z digest=sha256:18be1854504f68be7f6a994888ed2802ee7c531b130007baf60026a5968024f2

Observation da60dcc1-9cb8-4c35-920f-aa87e740f06f · inbound

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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source=pdf_text observed=2026-08-11T10:18:41.740224Z digest=sha256:8dabea5df1c82a75da08a15d9b4777f76174fd5cec427558350af3b38eb3a913

Observation 26ba975b-bc1e-4f27-939f-0963c74af78e · 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 MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 37

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source=pdf_text observed=2026-08-11T14:16:49.677777Z digest=sha256:5f29af962e0f79d869356637b5b9a4b645dd2df62cd63bffeef18bde1a28e625

Observation 7001cd92-4c0c-4c74-823e-cc29d81ff227 · inbound

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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source=arxiv_source observed=2026-08-10T21:24:10.600656Z digest=sha256:bb3f7694912534bd08e4a190a32467a953314624792a2ae68062d0cfd5ecc207

Observation cd521757-5615-4c90-b3a7-32f2265481c2 · inbound

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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source=pdf_text observed=2026-08-09T12:47:21.769132Z digest=sha256:1d8e39cd41619bcaff10f96a51b9cb8bb5d28d8e3f31d15e27af650824e99ba6

Observation ddfc1d88-f0b5-441c-8aca-648ac6319223 · inbound

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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Observation c1deea37-69a1-4a89-bc16-d9cdb1945884 · inbound

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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source=arxiv_source observed=2026-08-16T12:16:50.551418Z digest=sha256:5011a56c448e707163469074c87e32babd1944db89dae21389e625ff1b83294b

Observation 06a39523-be7b-4db6-bb71-93e88631fff1 · inbound

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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source=arxiv_source observed=2026-08-15T22:53:25.360494Z digest=sha256:93ff295dd1bfed36c234a0fa9a11d44b42de9b2c9fc224ea25a50291396c914c

Observation 4f4fa29e-1e18-4c2e-9f65-6c0c63f24500 · inbound

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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source=arxiv_source observed=2026-08-15T20:48:52.247841Z digest=sha256:2e5bc88b0d7755310b7c3aca246a98c843eba598a22c184016893d8cb68e33dd

Observation 2dfbce3b-c3c3-498e-abc0-679dba0b83e5 · inbound

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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Observation e789e429-c5b3-4189-a863-8e90f5c4afca · inbound

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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source=pdf_text observed=2026-08-07T15:26:24.479036Z digest=sha256:c6f355de000428742bbafcd222e9499c892e4099d521561ab50dc86fb7387322

Observation 298f3af4-4bbd-471a-bf90-6ecce7fcabe7 · inbound

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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source=pdf_text observed=2026-08-07T14:30:25.553798Z digest=sha256:86a9d58af0b816bf0af268c3b9a5caec6ca86b744c8dd636511d7f5f0cccfbf2

Observation f6532211-495d-4c8c-b26b-ee0b292edd2b · inbound

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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source=pdf_text observed=2026-08-07T12:05:54.371943Z digest=sha256:ab4ec11fa7b907faa76b6cbabc58f9e90507ff44d110daf96a84a56724b2a5ce

Observation a61dfad5-5159-4e1a-b8c3-72049051dcfa · inbound

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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source=arxiv_source observed=2026-08-07T12:03:35.340707Z digest=sha256:e3a09ccb7d1d2a380ab40fab6dad47a16f7443ab58f20e2aa25425c884c7cccb

Observation 2f95ffdf-d5b7-41d7-a272-ec7ff84e6c92 · inbound

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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Observation d8ce1b9e-f8b6-417c-9ac0-81717c534434 · inbound

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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source=pdf_text observed=2026-08-07T04:58:48.049419Z digest=sha256:30472af7c0ea1212d86d7f64f3cdf6fc004093d9c34da03b23e54f17935c4991

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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Observation 53dedfd4-d3c9-427d-bd74-50ad5c774532 · inbound

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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source=pdf_text observed=2026-08-07T04:22:59.893510Z digest=sha256:8b3f76454e79b7e5ea3bfeda81b2b0bf12025105bac4cfbebac2487bc7d9f89a

Observation bfda0d67-4b66-49d4-b861-afc01e3400c4 · inbound

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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source=pdf_text observed=2026-08-07T00:29:37.694372Z digest=sha256:e11567ccfeeac3e4bff10f0c2d4c0dafc105833b50b6a76ea3458fd3edc92ce2

Observation c3425d73-98b0-4dca-819c-658d0e4f2418 · inbound

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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source=pdf_text observed=2026-08-07T13:01:32.351221Z digest=sha256:72de16bc5fdb60c34e910786f089e13bc3c87eed88cbf341592809a26ef16484

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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arxiv_id, observed 2026-05-19T08:13:01.585580Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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Observation 5cdee685-445a-4502-ad10-7677107f5350 · inbound

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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source=pdf_text observed=2026-08-06T13:54:40.262600Z digest=sha256:b33e38f11c52ff9d09c959fbbda12c4b42d45f6cac735cdb939b2f88cd2adf00

Observation e9c49e96-915c-4cf4-8478-029fac4002f8 · inbound

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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source=arxiv_source observed=2026-08-15T19:27:58.533567Z digest=sha256:e590cc82837acefddf21bee72561082c6b34ad7ea14006de9c5ff64690e207c8

Observation 5eb0a70d-e603-4544-9080-e74b651b3c44 · inbound

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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source=pdf_text observed=2026-08-06T05:48:02.822371Z digest=sha256:6a375f1204b4e878781139f8eff4f5b1bdd0d247c0050caeddb456fb33e9fa4e

Observation 1bab24fd-e85a-41a8-90b7-908a059962b5 · inbound

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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source=arxiv_source observed=2026-08-05T17:56:10.350918Z digest=sha256:8acbdf1dc92ed58defb258fae80bc038eae427598ac1fce96893bf3c54f0cda5

Observation 08e3a370-d0db-4d45-9589-281a4936e596 · inbound

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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arxiv_id, observed 2026-05-18T10:46:16.938171Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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source=pdf_text observed=2026-08-03T23:39:08.936375Z digest=sha256:35a47ae0ebf02130438484ef3e25e9a60d93b0362fe697c0017e6bd0a8fd5082

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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source=pdf_text observed=2026-08-03T10:20:04.095859Z digest=sha256:83a7cccdf972563af05edd64a67eeca972f3d1fec609cc4902d6c62d7f043c22

Observation 8481e362-c866-4789-bb18-144ca51a1323 · inbound

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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arxiv_id, observed 2026-05-13T19:48:11.175802Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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source=pdf_text observed=2026-07-13T10:41:51.251736Z digest=sha256:639a806bdbbf5ff8d642e99ad1d64a054bcc5ed0409f90c47fbe132d4b67ecb2

Observation 0c03fe8b-b2e5-4041-b3a2-4c3649245373 · inbound

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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arxiv_id, observed 2026-05-11T05:30:59.204979Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:06:08.962042Z digest=sha256:b728e8ff1d441d2e9e78fb78ef270203ffcb4ba4804f0872990654e469d60318

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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arxiv_id, observed 2026-05-10T14:30:31.157785Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T14:28:20.140501Z digest=sha256:c3746404a0c5f60b721ff5d123f602004b4689cfb125828b7bc5ddebeb1c1b80

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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metadata mismatch
arxiv_id, observed 2026-05-11T16:11:08.525284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T18:36:21.189195Z digest=sha256:05b81e4d7cee9257d56e692bcb71251bbff71818815ad451364761833d9beb0b

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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metadata mismatch
arxiv_id, observed 2026-07-01T07:35:28.979483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T07:30:02.278335Z digest=sha256:849e254aa7ed9f4151b56fd571086944f357a353f82ec38bab4f093389b67262

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:26:02.728058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T16:00:56.896665Z digest=sha256:dbcb32b7090460658bb9a5826bdbab5a3931ee407a59dc49d68772bd9e1581bb

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:31:09.975020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T16:23:03.679700Z digest=sha256:08e2407107fafc2639fa6d41475869d41ed9e0675125b194f91b6d06ffc6a2a8

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:20:58.631656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:46:27.821026Z digest=sha256:bb6590841d2e6b45c78112b041ea8b99a8f030c415a98e72f7f9d3305cfeda93

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:51:10.997326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T10:53:27.265815Z digest=sha256:1e4f0fd2849963b7ae0ff2e52ad8bfa857e6b6742d322539b4aa774f667816ce

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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unresolved
no resolver link, observed 2026-08-04T05:20:43.560527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:20:43.560527Z digest=sha256:92aaf2c25d7594aa4f74045544f529e9adf010579fb5d0443cdf13cc5aab27d7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:06:44.126131Z digest=sha256:7acb012fc8a891e65afbbf508e22980369eb642bd948c1f1d122e4e5e7dca5fc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-15T02:13:17.039114Z digest=sha256:be7aa171bd0c6a0eb8f0793d20e78efcb173e1bc24ecd98e0f91ff17689bd65d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T04:45:29.248815Z digest=sha256:edca8352796d70690f85e38e49aec3d42b453bbedcf2977bb57771c3a87f046d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T08:17:06.614775Z digest=sha256:7b5606f3d14ee0949f2f8e081eade731069b686e39e18844dc13c4f854e30397

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T23:47:32.605612Z digest=sha256:f51d3cf814e25a315580aa7ed72ad20883e144e03ff358f2d57aed0e4de4b755

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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unresolved
no resolver link, observed 2026-07-12T15:34:59.671830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T15:34:59.671830Z digest=sha256:6b6c4f4dce900e3d7a3ddb96b513bd64707f749fe54624575c4a1e8fa40698b1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T15:21:26.391287Z digest=sha256:080a3d89295d1ee3d4f71cd1f120db5f6b2d11a12aa40b91b5f8d6c5c43b7c29

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T06:52:41.653304Z digest=sha256:792bab7be78843bd274988730b224cb4fe02abf8a683dda460468c7e30cc51ae

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T22:18:43.046828Z digest=sha256:941e5595ffbd8ff720768d4ef736d7774078246129aba1581689d11b1bd3db69

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T07:42:45.896118Z digest=sha256:b2bbb3f23ac9492557b2e8401903c624fb5510b49b349546b92c920b435ed019

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T03:34:32.388152Z digest=sha256:f5e5b897b628c45e5f6e8eb22ecfb0ade614c9413d10e6a213b45a84e8aebfcf

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T00:21:01.852830Z digest=sha256:3c00b36c9ce6f465ef2ac663fd6d656866c7c9e64db8dd564c83df9e12719824

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-02T21:10:35.240433Z digest=sha256:4f516ccff3beab8c67de79be9334ea82d46c8829b7ed18f84eb962946a6f3009

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:04:14.297636Z digest=sha256:c51deff96f61915d420ade68c3b9fcd6368a683c03edc1ae16b03c8ecf97d537

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:25:19.900780Z digest=sha256:3fd569638b70c36d0b565feaa4ce537b3ec61478b571f41da39d28d7f8f4d15b

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.

source=pdf_text observed=2026-08-01T14:53:55.889424Z digest=sha256:55de9956b83655f38284ace67ca8bf0191cca09dc6d0ac35b1f93ef78efd353f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:42:57.226963Z digest=sha256:90b188e97874f170bbf3dfd390f03a27ed6232e7d370a07ac4bda37f75fe0c6c

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.

source=arxiv_source observed=2026-08-06T18:54:46.603109Z digest=sha256:dfcc724c7a725a1b945d8b8c87c6e9623a69bd138bc2773b8040d0f946a5148a

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.

source=arxiv_source observed=2026-08-07T23:36:41.730207Z digest=sha256:f80051310771c4d96433499d38f087574d93d4bf2ccca67880de83100c1a076c