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Paper Citation Record · LEDGER

SoK: Machine Unlearning for Large Language Models

As of 16 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 3 inbound Pith citation observations for arXiv:2506.09227.

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

pith.paper-citation-record.v1
2506.09227 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:57.620815Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:36:41.718079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:57.088541Z

Reference resolution

100 of 123 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved87
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2a8a911-494f-4abd-9b95-3068adadc701 · outbound

This paper cites Nat- ural questions: a benchmark for question answering research,.

SoK: Machine Unlearning for Large Language Models Nat- ural questions: a benchmark for question answering research,

Reference 1

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Observation 695110a6-4b3f-47cb-88f8-0d185b706d1f · outbound

This paper cites Neural machine translation: A review,.

SoK: Machine Unlearning for Large Language Models Neural machine translation: A review,

Reference 2

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source=pdf_text observed=2026-08-07T04:58:45.337200Z digest=sha256:25fd9bde6ec6b3a736d8a0ebfc2013698eb76db0faf52e93f6dc811e0f967217

Observation 8bf123de-d475-45af-a9b8-6fa34e112dda · outbound

This paper cites Automatic text summarization: A comprehensive survey,.

SoK: Machine Unlearning for Large Language Models Automatic text summarization: A comprehensive survey,

Reference 3

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source=pdf_text observed=2026-08-07T04:58:45.606828Z digest=sha256:21ad1fd0eba4f8039c5b74d0ec1200cd10cfb9f880489ff7935c582bf2fe88eb

Observation d1b2f143-8681-451e-9007-4753d5b2b520 · outbound

This paper cites Deep Reinforcement Learning for Dialogue Generation.

SoK: Machine Unlearning for Large Language Models Deep Reinforcement Learning for Dialogue Generation

Reference 4

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source=pdf_text observed=2026-08-07T04:58:45.753558Z digest=sha256:c4dd6f6ae9063338409460aceaf074a7103c396c493bacb0bff6f1e7960745f0

Observation 7841f81e-911c-4df3-bcd1-f845f4879ae0 · outbound

This paper cites Regulating chatgpt and other large generative ai models,.

SoK: Machine Unlearning for Large Language Models Regulating chatgpt and other large generative ai models,

Reference 5

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source=pdf_text observed=2026-08-07T04:58:45.870170Z digest=sha256:8501dde6a6131cf63d1c6b7fa69e741c20e93eb181f26e135afd40086e196f04

Observation fc44dbfd-dad6-4365-9e26-77bd290c968f · outbound

This paper cites Chatgpt: a case study on copyright challenges for generative artificial intelligence systems,.

SoK: Machine Unlearning for Large Language Models Chatgpt: a case study on copyright challenges for generative artificial intelligence systems,

Reference 6

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source=pdf_text observed=2026-08-07T04:58:45.964571Z digest=sha256:1aa834fa8029bf8554c10513144a8e93b6e73ab4a2035d76bf48e375618dfacc

Observation f3ee2087-e78e-4ff2-9bee-87a8520123a0 · outbound

This paper cites an unresolved cited work.

SoK: Machine Unlearning for Large Language Models Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-07T04:58:46.136739Z digest=sha256:a048c7745c020816fe6383c65f3f7a9cc0cc7d1dcb4b5a00179fd1e7f9d25810

Observation f1733ab1-d666-4302-88fb-4eca27d66c91 · outbound

This paper cites The eu general data protection regulation (gdpr),.

SoK: Machine Unlearning for Large Language Models The eu general data protection regulation (gdpr),

Reference 8

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source=pdf_text observed=2026-08-07T04:58:46.208950Z digest=sha256:1a8d4517490445e64e50384ab65b692119983e474681b69bcab37510601e9e42

Observation 85560c87-2495-4b2e-b11c-b0b59a5fa920 · outbound

This paper cites The right to be forgotten,.

SoK: Machine Unlearning for Large Language Models The right to be forgotten,

Reference 9

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source=pdf_text observed=2026-08-07T04:58:46.366261Z digest=sha256:4236b74b55d4765bacffe25422fee1aab6a63ccf3ff30ec21cfd0134377df32e

Observation a09cf349-7d28-4003-9aff-ae26eaf6f772 · outbound

This paper cites Rethinking Machine Unlearning for Large Language Models.

SoK: Machine Unlearning for Large Language Models Rethinking Machine Unlearning for Large Language Models

Reference 10

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source=pdf_text observed=2026-08-07T04:58:46.495730Z digest=sha256:fbb7e9599a9fe8c2309037acabc4dc335b6fa1a1918f9a401080f924a56cbfca

Observation 011d7419-458f-4be2-8f52-104310b384bb · outbound

This paper cites TOFU: A task of fictitious unlearning for LLMs,.

SoK: Machine Unlearning for Large Language Models TOFU: A task of fictitious unlearning for LLMs,

Reference 11

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source=pdf_text observed=2026-08-07T04:58:46.627977Z digest=sha256:fca4692a3527b020664bf3c715b09b6ab4cac3b25413b62731d115f5babd7c11

Observation 540c3315-c100-4cf1-98f2-98a125d1957c · outbound

This paper cites Copyright Protection in Generative AI: A Technical Perspective.

SoK: Machine Unlearning for Large Language Models Copyright Protection in Generative AI: A Technical Perspective

Reference 12

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source=pdf_text observed=2026-08-07T04:58:46.799195Z digest=sha256:033804f87bc922f75c8cc3dbc066545052219ad2cce525be9d9a3c1be29997a2

Observation 37af3255-1ac2-47fc-b148-de73a3a79a6a · outbound

This paper cites Large Language Model Unlearning.

SoK: Machine Unlearning for Large Language Models Large Language Model Unlearning

Reference 13

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source=pdf_text observed=2026-08-07T04:58:46.938165Z digest=sha256:a398cdda26ab83575787a38267278b0d14b9fa06e5ac51f4b67d9730f856a59c

Observation e01561d6-eb5f-4d2b-ade6-33d9f1d75282 · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

SoK: Machine Unlearning for Large Language Models Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 14

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source=pdf_text observed=2026-08-07T04:58:47.100235Z digest=sha256:4f03f05f77b303d5a55eae3a4994b549c5428878a06be406b378a03e8aa897a8

Observation e72ab183-45da-47ed-b7ce-0eeb72745da9 · outbound

This paper cites The wmdp benchmark: Measuring and reducing malicious use with unlearning,.

SoK: Machine Unlearning for Large Language Models The wmdp benchmark: Measuring and reducing malicious use with unlearning,

Reference 15

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source=pdf_text observed=2026-08-07T04:58:47.261395Z digest=sha256:68f4fb18a941a8d1158b2822ac6acb55ecb58c6802127e1449a42be9fb807873

Observation 41a13be4-4340-41a2-8f86-ee4c1194b9d3 · outbound

This paper cites Offset Unlearning for Large Language Models.

SoK: Machine Unlearning for Large Language Models Offset Unlearning for Large Language Models

Reference 16

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source=pdf_text observed=2026-08-07T04:58:47.369439Z digest=sha256:1509bd685810abe775d7be06b56bb12e94d2aa99265e3b558d509533b00c9e61

Observation b5843064-5d0d-490a-81f2-bd9ec93c0d83 · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

SoK: Machine Unlearning for Large Language Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 17

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source=pdf_text observed=2026-08-07T04:58:47.445724Z digest=sha256:fe98ced94b7666367eb6d7c560fe0c5aa4982b7a7edfb6100ea9d6719e78f25e

Observation ac109b7f-5f92-46f8-b629-a73b92cdd20c · outbound

This paper cites Executive order 14110: Safe, secure, and trustworthy development and use of artificial intelligence,.

SoK: Machine Unlearning for Large Language Models Executive order 14110: Safe, secure, and trustworthy development and use of artificial intelligence,

Reference 18

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source=pdf_text observed=2026-08-07T04:58:47.521822Z digest=sha256:ef56dcbd5f49100f08845166e8357a62080b6aab606855664cdd460a3546479e

Observation 5927cac0-dfd3-4a10-8144-c53de090b600 · outbound

This paper cites Regulation (eu) 2024/1689 of the european parliament and of the council of 13 june 2024 laying down harmonised rules on artificial intelligence (artificial intelligence act),.

SoK: Machine Unlearning for Large Language Models Regulation (eu) 2024/1689 of the european parliament and of the council of 13 june 2024 laying down harmonised rules on artificial intelligence (artificial intelligence act),

Reference 19

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source=pdf_text observed=2026-08-07T04:58:47.598388Z digest=sha256:f2f30565354e389d133d8e6334105710630b099879337d09df459e18376af2da

Observation 60a0d538-2b93-4ee2-b266-119031b93e57 · outbound

This paper cites europa.eu/eli/reg/2016/679/oj, 2016, article 17.

SoK: Machine Unlearning for Large Language Models europa.eu/eli/reg/2016/679/oj, 2016, article 17

Reference 20

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source=pdf_text observed=2026-08-07T04:58:47.703731Z digest=sha256:cb7600646271b93f9114dbc4e4d42ac9dd056b36baaaa7c7f8afe70179995bdc

Observation 741b98e1-2cf2-4da4-aa30-477b43216a69 · outbound

This paper cites Knowledge unlearning for mitigating privacy risks in language models,.

SoK: Machine Unlearning for Large Language Models Knowledge unlearning for mitigating privacy risks in language models,

Reference 21

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source=pdf_text observed=2026-08-07T04:58:47.896544Z digest=sha256:7a66d301ab1d37f0748c42a82add24927351a9dd813c1fc5e2c8b8aa877cd590

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

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

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 be26b817-2819-4969-8b85-fa3560a95849 · outbound

This paper cites Machine unlearning of pre-trained large language models,.

SoK: Machine Unlearning for Large Language Models Machine unlearning of pre-trained large language models,

Reference 23

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source=pdf_text observed=2026-08-07T04:58:48.164666Z digest=sha256:1b85fe5f2c2769c3be50953ebd200ecf1ddcdee666b8844e8fbb8a4f80ddb744

Observation 33c538f9-c70f-4970-a0d2-8f7e26db4901 · outbound

This paper cites LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models.

SoK: Machine Unlearning for Large Language Models LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

Reference 24

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source=pdf_text observed=2026-08-07T04:58:48.250073Z digest=sha256:466e4a72a7b2fa426e9ff9db94ca6305f044d2580259437e542a6922e1b1ea25

Observation ef1255bb-f361-4ff7-a7ff-02a7649df1d8 · outbound

This paper cites Simplicity prevails: Rethinking negative preference optimization for llm unlearning,.

SoK: Machine Unlearning for Large Language Models Simplicity prevails: Rethinking negative preference optimization for llm unlearning,

Reference 25

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source=pdf_text observed=2026-08-07T04:58:48.382597Z digest=sha256:cd1a5478e16a3fe3d7a48bf0d45de91da7fcd145cc030a6ad5d4343931f928eb

Observation 98a8f17d-f918-48f3-8596-d8cc038a5684 · outbound

This paper cites Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.

SoK: Machine Unlearning for Large Language Models Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 26

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source=pdf_text observed=2026-08-07T04:58:48.482633Z digest=sha256:c368b0500b518d38ad63c3dafe7de28eafa2ae4a2f29d939309b72123c4b3a2e

Observation 6580580b-ca44-477e-a9d7-ac923c97bf54 · outbound

This paper cites GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs.

SoK: Machine Unlearning for Large Language Models GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:58:48.617618Z digest=sha256:a83aa1558b0f2a4c19872a98bb6797636ffc5921e1cffa5fae03833c965d86e1

Observation 31f4f4eb-f1a1-44a2-ae0f-382376664411 · outbound

This paper cites Dualoptim: Enhancing efficacy and stability in machine unlearning with dual optimizers,.

SoK: Machine Unlearning for Large Language Models Dualoptim: Enhancing efficacy and stability in machine unlearning with dual optimizers,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T04:58:48.707739Z digest=sha256:c922f340f2ec8f4ac837b4249229d5345671cfab1803b818db2913a42577b2a6

Observation 7452e0bb-5304-4f83-bb8d-6a268c387882 · outbound

This paper cites Soul: Unlocking the power of second- order optimization for llm unlearning,.

SoK: Machine Unlearning for Large Language Models Soul: Unlocking the power of second- order optimization for llm unlearning,

Reference 29

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source=pdf_text observed=2026-08-07T04:58:48.786658Z digest=sha256:81106896fdc5c14383449508da106b50ca4bf865c443e469dbaf441d6c60a698

Observation b71c4b26-3025-431d-9da9-770031f54b99 · outbound

This paper cites A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning.

SoK: Machine Unlearning for Large Language Models A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning

Reference 30

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source=pdf_text observed=2026-08-07T04:58:48.869438Z digest=sha256:3de73a5108185eea0bd2ab95a6718ff1f8c45a38abe93a8e39b4027a5922ddad

Observation 541325ed-e9aa-4b8d-9e56-da47651392ab · outbound

This paper cites Sophia: A scalable stochastic second-order optimizer for language model pre-training,.

SoK: Machine Unlearning for Large Language Models Sophia: A scalable stochastic second-order optimizer for language model pre-training,

Reference 31

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source=pdf_text observed=2026-08-07T04:58:48.971144Z digest=sha256:4cba4cefe886c84957328cab079df2ccc312af26d17d0092e8d6f43e21282194

Observation 46d4a011-5719-4896-9fdb-c01dca31572c · outbound

This paper cites To each (textual sequence) its own: Improving memorized-data unlearning in large language models,.

SoK: Machine Unlearning for Large Language Models To each (textual sequence) its own: Improving memorized-data unlearning in large language models,

Reference 32

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source=pdf_text observed=2026-08-07T04:58:49.052873Z digest=sha256:ce76717f8fbb62efdc87805e41eab6ba12a93a4641040b6020d46ad452c23628

Observation 2a15ff80-e7bb-48ef-9d98-495f7f144214 · outbound

This paper cites Fine-grained pluggable gradient ascent for knowledge unlearning in language models,.

SoK: Machine Unlearning for Large Language Models Fine-grained pluggable gradient ascent for knowledge unlearning in language models,

Reference 33

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source=pdf_text observed=2026-08-07T04:58:49.197354Z digest=sha256:f23be8940acf21025e6969523a9cc0db578b0f1f8fc96527df61f19d96637d66

Observation 2c0c6e71-48c9-48fc-bba9-1ca722da39e7 · outbound

This paper cites Selective forgetting: Advancing machine unlearning techniques and evaluation in language models,.

SoK: Machine Unlearning for Large Language Models Selective forgetting: Advancing machine unlearning techniques and evaluation in language models,

Reference 34

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source=pdf_text observed=2026-08-07T04:58:49.318232Z digest=sha256:0afe2566bc9568a024de508e9c4994841ce68c46e6f314c2d9bce2366519113a

Observation 0cb1daa1-d990-46fe-a08f-336b13d45d13 · outbound

This paper cites Editing Models with Task Arithmetic.

SoK: Machine Unlearning for Large Language Models Editing Models with Task Arithmetic

Reference 35

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source=pdf_text observed=2026-08-07T04:58:49.481998Z digest=sha256:a2064474f3358269eecbb76167169e8dc7528725339e568b265510ad76cf1adf

Observation dbbed9b2-66ed-4c38-aa5d-b9be6dbb26e1 · outbound

This paper cites NegMerge: Sign-Consensual Weight Merging for Machine Unlearning.

SoK: Machine Unlearning for Large Language Models NegMerge: Sign-Consensual Weight Merging for Machine Unlearning

Reference 36

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source=pdf_text observed=2026-08-07T04:58:49.567825Z digest=sha256:48c7fe0093c5c6411f986fec07c80a7252d9b1e182dd7f11f905c0dd4af8feeb

Observation be4618b9-eea1-4b11-bff4-819f9e48e549 · outbound

This paper cites When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers,.

SoK: Machine Unlearning for Large Language Models When is task vector provably effective for model editing? a generalization analysis of nonlinear transformers,

Reference 37

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source=pdf_text observed=2026-08-07T04:58:49.666294Z digest=sha256:30e13edf785c8edda37d62ba09c1d962528fa81c482e404eb6043de49a1d65f6

Observation ddb0c48a-8707-4f56-ba71-25fb7b7943a0 · outbound

This paper cites Exact Unlearning of Finetuning Data via Model Merging at Scale.

SoK: Machine Unlearning for Large Language Models Exact Unlearning of Finetuning Data via Model Merging at Scale

Reference 38

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source=pdf_text observed=2026-08-07T04:58:49.775435Z digest=sha256:c25ee8bbdd684bf683bda880a41e5e5f4a335e37ac3ea2d81ae7406fcd6bd1fe

Observation 6a56a2b5-6aff-49f5-86b2-33c6fbfddf40 · outbound

This paper cites Towards robust and parameter-efficient knowledge unlearning for llms,.

SoK: Machine Unlearning for Large Language Models Towards robust and parameter-efficient knowledge unlearning for llms,

Reference 39

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Observation 5cbec085-34bb-468b-82df-2648e995cb9d · outbound

This paper cites Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models.

SoK: Machine Unlearning for Large Language Models Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models

Reference 40

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Observation 1f5a3982-23a1-4ea9-a5b0-ddc62cb76040 · outbound

This paper cites Towards Safer Large Language Models through Machine Unlearning.

SoK: Machine Unlearning for Large Language Models Towards Safer Large Language Models through Machine Unlearning

Reference 41

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source=pdf_text observed=2026-08-07T04:58:50.184699Z digest=sha256:1cf5071d406a770f71f1a51eee60712c7044009f9e3f6528b8dd05bc859739cd

Observation 0f9ad620-70be-4810-ba75-5ac03d734d9f · outbound

This paper cites Knowledge Sanitization of Large Language Models.

SoK: Machine Unlearning for Large Language Models Knowledge Sanitization of Large Language Models

Reference 42

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source=pdf_text observed=2026-08-07T04:58:50.356703Z digest=sha256:d08a75b93afd7e0c8e1439612bde3bbb0538fc9c861d8be43f9090ee5135581f

Observation 458ec0b4-ef63-45c2-96e7-6dee5938ec90 · outbound

This paper cites Suv: Scalable large language model copyright compliance with regularized selective unlearning,.

SoK: Machine Unlearning for Large Language Models Suv: Scalable large language model copyright compliance with regularized selective unlearning,

Reference 43

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Observation d69c8966-0943-4b31-b2a0-1a927c408261 · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

SoK: Machine Unlearning for Large Language Models Who's Harry Potter? Approximate Unlearning in LLMs

Reference 44

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source=pdf_text observed=2026-08-07T04:58:50.652465Z digest=sha256:9c4765261228e7ed1e3badb4f1b93b50957eec2e846b863846e259b613142dde

Observation 89dc4c79-2e06-4fbb-a6e8-3a8e3ea02736 · outbound

This paper cites Revisiting who’s harry potter: Towards targeted unlearning from a causal intervention perspective,.

SoK: Machine Unlearning for Large Language Models Revisiting who’s harry potter: Towards targeted unlearning from a causal intervention perspective,

Reference 45

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Observation 7ccede47-4758-4982-88eb-b6db828048bc · outbound

This paper cites ReLearn: Unlearning via Learning for Large Language Models.

SoK: Machine Unlearning for Large Language Models ReLearn: Unlearning via Learning for Large Language Models

Reference 46

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Observation 1c155057-8dd0-4c6f-8360-47f0c6d29757 · outbound

This paper cites Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning.

SoK: Machine Unlearning for Large Language Models Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning

Reference 47

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source=pdf_text observed=2026-08-07T04:58:51.094738Z digest=sha256:6e9d33c6e05121cba2e279e22d69e2159466c242fe6ac597ab684b78f6412cbe

Observation 03d47b21-c76b-49d6-921c-39089b70d8d9 · outbound

This paper cites When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?.

SoK: Machine Unlearning for Large Language Models When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Reference 48

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source=pdf_text observed=2026-08-07T04:58:51.297979Z digest=sha256:5c12781400e3307901959f739c250f3a3485729c9cf85f7f831f223e549920ed

Observation 59c10ee8-6992-478c-85fb-39b18986eb4e · outbound

This paper cites (De)-Indexing and the Right to be Forgotten.

SoK: Machine Unlearning for Large Language Models (De)-Indexing and the Right to be Forgotten

Reference 49

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source=pdf_text observed=2026-08-07T04:58:51.450766Z digest=sha256:9ea4bd715de45507330c32c5ed5c66d7030626d7da88167c19aa9c3d0e94cd9c

Observation 181ab00f-b161-4a09-9534-ffd81d1b815d · outbound

This paper cites Agents Are All You Need for LLM Unlearning.

SoK: Machine Unlearning for Large Language Models Agents Are All You Need for LLM Unlearning

Reference 50

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Observation dadf4eac-3060-49cd-aa76-33251f7fba4d · outbound

This paper cites Large Language Model Unlearning via Embedding-Corrupted Prompts.

SoK: Machine Unlearning for Large Language Models Large Language Model Unlearning via Embedding-Corrupted Prompts

Reference 51

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Observation 67d8790f-a8ce-4112-a99f-a3525d2f1900 · outbound

This paper cites On Effects of Steering Latent Representation for Large Language Model Unlearning.

SoK: Machine Unlearning for Large Language Models On Effects of Steering Latent Representation for Large Language Model Unlearning

Reference 52

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source=pdf_text observed=2026-08-07T04:58:51.906387Z digest=sha256:4c380cc0fd6c24fc9a2ca48f3676fb1b4f1fd0f4d65cb52efc54193de106049e

Observation e6de26aa-61ef-4483-ae7e-4f53ccadff0c · outbound

This paper cites Lunar: Llm unlearning via neural activation redirection,.

SoK: Machine Unlearning for Large Language Models Lunar: Llm unlearning via neural activation redirection,

Reference 53

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source=pdf_text observed=2026-08-07T04:58:52.096265Z digest=sha256:105fada94f00022f419cc8b052ba54c670b9b0ec4d02703e87007929f726a66e

Observation 93e33716-0ce7-4054-870c-6dad66632d07 · outbound

This paper cites Improving LLM Unlearning Robustness via Random Perturbations.

SoK: Machine Unlearning for Large Language Models Improving LLM Unlearning Robustness via Random Perturbations

Reference 54

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source=pdf_text observed=2026-08-07T04:58:52.271389Z digest=sha256:c8d1a79348a9749e7413908e65b2c8cb5f7e2baa6d5a4d2851a45e76872f3085

Observation 7f83ac4d-9571-4e71-9a35-608db8edf746 · outbound

This paper cites Falcon: Fine-grained activation manipulation by con- trastive orthogonal unalignment for large language model,.

SoK: Machine Unlearning for Large Language Models Falcon: Fine-grained activation manipulation by con- trastive orthogonal unalignment for large language model,

Reference 55

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source=pdf_text observed=2026-08-07T04:58:52.402839Z digest=sha256:49405b564ab86aa56e955fea85f6aea9a6d97c54a88bb1f0ce3408191b7f4788

Observation 55050b82-5c97-4120-92a4-365ee0bfe3de · outbound

This paper cites Large Scale Knowledge Washing.

SoK: Machine Unlearning for Large Language Models Large Scale Knowledge Washing

Reference 56

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Observation a89729e2-b50d-401f-be1b-8e289c77b581 · outbound

This paper cites Applying sparse autoencoders to unlearn knowledge in language models,.

SoK: Machine Unlearning for Large Language Models Applying sparse autoencoders to unlearn knowledge in language models,

Reference 57

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source=pdf_text observed=2026-08-07T04:58:52.577426Z digest=sha256:a6aa22024fc0cddb754da7e2c382f650cb71467cd284aff1db0ebddfb05b8217

Observation 61955e22-50ad-4e5f-b3b7-fe0841d24d8f · outbound

This paper cites Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning.

SoK: Machine Unlearning for Large Language Models Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning

Reference 58

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Observation d6839ed8-d124-487a-9f75-4cd47b8b2667 · outbound

This paper cites SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders.

SoK: Machine Unlearning for Large Language Models SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse Autoencoders

Reference 59

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source=pdf_text observed=2026-08-07T04:58:52.744243Z digest=sha256:30820ae8742720f7fe7d3c01ca9deb339b3b2e37ed2c3e086c02c65775c9a654

Observation 8b0a48c4-26ba-42b7-ba84-d7bbd801a14f · outbound

This paper cites SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs.

SoK: Machine Unlearning for Large Language Models SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

Reference 60

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source=pdf_text observed=2026-08-07T04:58:52.920539Z digest=sha256:a93e4f6e905db1d28bd9a6384aa178614fdcffea5e60a1f204a02075bc714346

Observation 09c11543-87df-4910-b514-aff7b7f94f74 · outbound

This paper cites Unlearn what you want to forget: Efficient unlearning for llms,.

SoK: Machine Unlearning for Large Language Models Unlearn what you want to forget: Efficient unlearning for llms,

Reference 61

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Observation 537859a9-e9dd-44f5-a058-c534f85804ea · outbound

This paper cites A general framework to enhance fine-tuning-based llm unlearning,.

SoK: Machine Unlearning for Large Language Models A general framework to enhance fine-tuning-based llm unlearning,

Reference 62

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Observation bff3a6b0-4e7b-4eae-9e76-65c285bf2720 · outbound

This paper cites On large language model continual unlearning,.

SoK: Machine Unlearning for Large Language Models On large language model continual unlearning,

Reference 63

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source=pdf_text observed=2026-08-07T04:58:53.186062Z digest=sha256:52d4fed71aa0ac5b44fb9962e8c6c44b45aa95d6e20a4a517e5d63b4bd9d0b88

Observation 07ac3877-9315-4275-ab1d-768667ab50b6 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

SoK: Machine Unlearning for Large Language Models Lora: Low-rank adaptation of large language models

Reference 64

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Observation 5bc3dc5b-84db-4f79-9c3a-d7cac5d73925 · outbound

This paper cites Dissecting Language Models: Machine Unlearning via Selective Pruning.

SoK: Machine Unlearning for Large Language Models Dissecting Language Models: Machine Unlearning via Selective Pruning

Reference 65

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source=pdf_text observed=2026-08-07T04:58:53.393410Z digest=sha256:facd0ed6c834e7c186056715f392621b141e5b07737c91d080138d69ff7a90a4

Observation 69bd6a6c-b91d-4c17-afdd-9d3036851d51 · outbound

This paper cites Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models.

SoK: Machine Unlearning for Large Language Models Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models

Reference 66

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source=pdf_text observed=2026-08-07T04:58:53.446062Z digest=sha256:996fb8fa30981f8e494a1a26948e49c5bcf6ebbcfeb2774d28b2f56655d255d3

Observation 239c5f2b-a65e-4071-b595-32a44e304a32 · outbound

This paper cites Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference.

SoK: Machine Unlearning for Large Language Models Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 67

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source=pdf_text observed=2026-08-07T04:58:53.510288Z digest=sha256:2ac7793af16c5c7adba775cfdcf3d3327d8cf71752c78a5106166db747c5ccfa

Observation 288ca9e8-4228-4e6d-8f97-4209e5d4640f · outbound

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

SoK: Machine Unlearning for Large Language Models GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection

Reference 68

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source=pdf_text observed=2026-08-07T04:58:53.560741Z digest=sha256:9d841bec832b50b7e9e0590fcafaa2a592051634e11770e46a836cad7f44a773

Observation 5694db29-7caa-40b7-8bdb-df941bfffc84 · outbound

This paper cites Machine unlearn- ing,.

SoK: Machine Unlearning for Large Language Models Machine unlearn- ing,

Reference 69

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source=pdf_text observed=2026-08-07T04:58:53.629926Z digest=sha256:1d65936c9b304e90ab2e4cbba86cb34ab458a45d6240189cacc97c523e27f033

Observation 1392be23-961b-47ef-809a-4f81764997e0 · outbound

This paper cites Continual learning and private unlearning,.

SoK: Machine Unlearning for Large Language Models Continual learning and private unlearning,

Reference 70

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source=pdf_text observed=2026-08-07T04:58:53.681242Z digest=sha256:41473e952c4d5860fe18d774b84a50c50e1ee7ed2d411bd282ff99e3046a7d86

Observation 556f5d68-cb6a-49c0-bddc-8b436e67d8e9 · outbound

This paper cites Amnesiac machine learn- ing,.

SoK: Machine Unlearning for Large Language Models Amnesiac machine learn- ing,

Reference 71

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Observation ea80b641-ec1b-4548-a926-5f2e10ad6eec · outbound

This paper cites Unrolling sgd: Understanding factors influencing machine unlearning,.

SoK: Machine Unlearning for Large Language Models Unrolling sgd: Understanding factors influencing machine unlearning,

Reference 72

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source=pdf_text observed=2026-08-07T04:58:53.855929Z digest=sha256:ad2b227190e9324bdff7763824a9739b60c986668646852e2768dfc9af5b8334

Observation f162f687-197d-4f9c-9149-10062df384a0 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

SoK: Machine Unlearning for Large Language Models Direct preference optimization: Your language model is secretly a reward model,

Reference 73

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source=pdf_text observed=2026-08-07T04:58:53.947050Z digest=sha256:3144a7d2bae22cc6716805c54ff2ad6262eb5069238b8dbae0b6700b0f92a087

Observation 24db68ee-413d-4d98-bc1d-88dc71693ea9 · outbound

This paper cites In-context unlearning: Language models as few-shot unlearners,.

SoK: Machine Unlearning for Large Language Models In-context unlearning: Language models as few-shot unlearners,

Reference 74

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source=pdf_text observed=2026-08-07T04:58:54.032725Z digest=sha256:d196f839951c21629147c476445a1689e6ebe60751135180b9c5f4e49a906854

Observation 1099b699-d62b-4093-93ec-065d5f2ba57b · outbound

This paper cites Effective Skill Unlearning through Intervention and Abstention.

SoK: Machine Unlearning for Large Language Models Effective Skill Unlearning through Intervention and Abstention

Reference 75

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Observation 1bf48889-6d17-4b21-8bdf-c3229c88297c · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

SoK: Machine Unlearning for Large Language Models Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 76

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source=pdf_text observed=2026-08-07T04:58:54.198805Z digest=sha256:4570188bf3423a1b76f05d86b62327e51f69f2b03df86b2ced6adf032e8cf1b1

Observation 0d54275c-7e79-4867-9181-1280e5d23567 · outbound

This paper cites A survey on sparse autoencoders: Interpreting the internal mechanisms of large language models,.

SoK: Machine Unlearning for Large Language Models A survey on sparse autoencoders: Interpreting the internal mechanisms of large language models,

Reference 77

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Observation 84581d35-2e4f-4ed6-ab83-3f6e935f2669 · outbound

This paper cites Sparse autoencoder.

SoK: Machine Unlearning for Large Language Models Sparse autoencoder

Reference 78

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Observation 0204ef64-b392-4be4-b75c-75a100fc894c · outbound

This paper cites Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization.

SoK: Machine Unlearning for Large Language Models Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

Reference 79

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Observation 3a15d6c4-3df6-4668-bded-274961d69056 · outbound

This paper cites Faithun: Toward faithful forgetting in language models by investigating the intercon- nectedness of knowledge,.

SoK: Machine Unlearning for Large Language Models Faithun: Toward faithful forgetting in language models by investigating the intercon- nectedness of knowledge,

Reference 80

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Observation 1c89c312-022e-4c57-a227-440df51af68b · outbound

This paper cites Does localization inform unlearning? a rigorous examination of local parameter attribution for knowledge unlearning in language models,.

SoK: Machine Unlearning for Large Language Models Does localization inform unlearning? a rigorous examination of local parameter attribution for knowledge unlearning in language models,

Reference 81

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Observation 5691558b-44ab-4adf-8cf4-e8be89a0989e · outbound

This paper cites Position: LLM Unlearning Benchmarks are Weak Measures of Progress.

SoK: Machine Unlearning for Large Language Models Position: LLM Unlearning Benchmarks are Weak Measures of Progress

Reference 82

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Observation 14620483-7a98-41d3-8f62-091906cdee59 · outbound

This paper cites Eight Methods to Evaluate Robust Unlearning in LLMs.

SoK: Machine Unlearning for Large Language Models Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 83

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Observation 095dbdaf-e89f-44f7-a7cb-a0a4b223d73e · outbound

This paper cites Rethinking llm memorization through the lens of adversarial com- pression,.

SoK: Machine Unlearning for Large Language Models Rethinking llm memorization through the lens of adversarial com- pression,

Reference 84

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Observation 965ab5fe-7bf0-4d58-bc7d-aef674c6449d · outbound

This paper cites Towards robust knowledge unlearning: An adversarial framework for assess- ing and improving unlearning robustness in large language models,.

SoK: Machine Unlearning for Large Language Models Towards robust knowledge unlearning: An adversarial framework for assess- ing and improving unlearning robustness in large language models,

Reference 85

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Observation eba1948e-9ca9-4672-998a-7fce7e839ef4 · outbound

This paper cites Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting.

SoK: Machine Unlearning for Large Language Models Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting

Reference 86

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Observation 5b1255d6-84dc-4ff2-ab09-3f2032116ac9 · outbound

This paper cites Jogging the memory of unlearned models through targeted relearning attacks,.

SoK: Machine Unlearning for Large Language Models Jogging the memory of unlearned models through targeted relearning attacks,

Reference 87

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Observation 05db6b0c-4c39-45c1-b414-7200b4451c18 · outbound

This paper cites Do Unlearning Methods Remove Information from Language Model Weights?.

SoK: Machine Unlearning for Large Language Models Do Unlearning Methods Remove Information from Language Model Weights?

Reference 88

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Observation 872d6c64-5a5a-485a-8ec8-02294b2e57ba · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

SoK: Machine Unlearning for Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 89

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Observation 327fdb90-64a5-45fc-bfc1-5389dc665752 · outbound

This paper cites Dissecting fine-tuning unlearning in large language models,.

SoK: Machine Unlearning for Large Language Models Dissecting fine-tuning unlearning in large language models,

Reference 90

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Observation 8ee2cbfa-5134-40f4-93c8-64ede0b948ae · outbound

This paper cites Soft prompt threats: Attacking safety alignment and unlearning in open-source llms through the embedding space,.

SoK: Machine Unlearning for Large Language Models Soft prompt threats: Attacking safety alignment and unlearning in open-source llms through the embedding space,

Reference 91

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Observation c14925c6-c744-4086-90a2-422dbd557792 · outbound

This paper cites Textual Unlearning Gives a False Sense of Unlearning.

SoK: Machine Unlearning for Large Language Models Textual Unlearning Gives a False Sense of Unlearning

Reference 92

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Observation 994e55d8-5312-43ae-a6c3-a26e0c8d02ea · outbound

This paper cites Improving align- ment and robustness with circuit breakers,.

SoK: Machine Unlearning for Large Language Models Improving align- ment and robustness with circuit breakers,

Reference 93

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Observation e0f7a7bc-d7d8-4483-96be-0304af7dc20d · outbound

This paper cites Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models.

SoK: Machine Unlearning for Large Language Models Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models

Reference 94

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Observation 78d5efb2-d9ce-4458-aec5-744b2da74c5e · outbound

This paper cites From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks.

SoK: Machine Unlearning for Large Language Models From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 95

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Observation 5005722b-8bbe-4704-ad8b-5d49f4afbd9d · outbound

This paper cites UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning.

SoK: Machine Unlearning for Large Language Models UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning

Reference 96

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Observation 24f111fd-ddc3-43d3-a549-e9759b03a617 · outbound

This paper cites DUSK: Do Not Unlearn Shared Knowledge.

SoK: Machine Unlearning for Large Language Models DUSK: Do Not Unlearn Shared Knowledge

Reference 97

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Observation 17caca51-13ab-4dab-b574-733b93dde7d0 · outbound

This paper cites Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning.

SoK: Machine Unlearning for Large Language Models Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning

Reference 98

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Observation 316560a6-fa8d-4678-a76d-92f7c9a8922b · outbound

This paper cites Keeping an eye on llm unlearning: The hidden risk and remedy,.

SoK: Machine Unlearning for Large Language Models Keeping an eye on llm unlearning: The hidden risk and remedy,

Reference 99

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Observation 38b68d78-507d-40b9-be4d-0cbb827a43bb · outbound

This paper cites A Closer Look at Machine Unlearning for Large Language Models.

SoK: Machine Unlearning for Large Language Models A Closer Look at Machine Unlearning for Large Language Models

Reference 100

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source=pdf_text observed=2026-08-07T04:58:57.620815Z digest=sha256:fc9dae2727677294ade381ce9ad2bacdc7d1fff02554fb8b60170f09bb2ccb6c

Pith citing papers

Observation b9a1016d-0843-427e-b8de-2f653e106e57 · inbound

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance cites this paper.

Probe-Geometry Alignment: Erasing the Cross-Sequence Memorization Signature Below Chance SoK: Machine Unlearning for Large Language Models

Reference 20

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Observation 98cab560-06bd-407c-a196-a0897581ddd7 · inbound

Selective Capability Unlearning in End-to-End Spoken Language Understanding cites this paper.

Selective Capability Unlearning in End-to-End Spoken Language Understanding SoK: Machine Unlearning for Large Language Models

Reference 22

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arxiv_id, observed 2026-07-04T16:09:57.090471Z

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Observation 47b6fd73-dd63-4825-a3ed-def457b0ae90 · inbound

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

GROM: Gradient-Free Rapid One-Shot Machine Unlearning SoK: Machine Unlearning for Large Language Models

Reference 43

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