Paper Citation Record · LEDGER

Rethinking Machine Unlearning for Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2402.08787.

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

pith.paper-citation-record.v1
2402.08787 v6

Coverage vector

measured 0 of 0 reference resolution

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:02.574517Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.086273Z

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Outbound references

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Pith citing papers

Observation 50e28d32-0a46-46fb-aa52-3a339740de21 · inbound

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

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

Reference 14

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Source-reported events for the cited work

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Observation 6cda715d-932d-4854-ba4e-75e82e7bf2a5 · inbound

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods cites this paper.

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods Rethinking Machine Unlearning for Large Language Models

Reference 6

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Observation 64cbfa99-d5cf-4c25-9d76-2221eddbe8b1 · inbound

On the Impact of Fine-Tuning on Chain-of-Thought Reasoning cites this paper.

On the Impact of Fine-Tuning on Chain-of-Thought Reasoning Rethinking Machine Unlearning for Large Language Models

Reference 20

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Observation 1b61839b-4d5f-44e7-96ba-3ea293755980 · inbound

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations cites this paper.

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations Rethinking Machine Unlearning for Large Language Models

Reference 23

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Observation ac07f6ba-934b-464b-9584-51ee7c22bccc · inbound

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models cites this paper.

From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models Rethinking Machine Unlearning for Large Language Models

Reference 42

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Observation 0d8ec195-df60-4b9e-a301-cf15269430b4 · 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? Rethinking Machine Unlearning for Large Language Models

Reference 37

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Observation 754b813c-a367-4d43-ab82-cee2e48374bd · inbound

Unified Parameter-Efficient Unlearning for LLMs cites this paper.

Unified Parameter-Efficient Unlearning for LLMs Rethinking Machine Unlearning for Large Language Models

Reference 53

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Observation 9058515f-f44d-4285-950e-24fae4c36e92 · inbound

Learning to Forget using Hypernetworks cites this paper.

Learning to Forget using Hypernetworks Rethinking Machine Unlearning for Large Language Models

Reference 28

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Observation fe35c3a6-2a8b-4786-bf4d-1bcb337d3aa7 · inbound

Copyright-Protected Language Generation via Adaptive Model Fusion cites this paper.

Copyright-Protected Language Generation via Adaptive Model Fusion Rethinking Machine Unlearning for Large Language Models

Reference 44

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Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science Rethinking Machine Unlearning for Large Language Models

Reference 63

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Observation ff638570-73b1-43fb-8d68-257702baefe4 · 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 Rethinking Machine Unlearning for Large Language Models

Reference 34

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Observation 327580e7-1e70-4c6a-8392-93f85def5b65 · 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 Rethinking Machine Unlearning for Large Language Models

Reference 16

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Observation d148ccbc-3443-467b-ae44-7209132950ff · inbound

Multi-Objective Large Language Model Unlearning cites this paper.

Multi-Objective Large Language Model Unlearning Rethinking Machine Unlearning for Large Language Models

Reference 7

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

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

Reference 18

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Observation 7f2c20d6-36f8-41b4-bf61-8c61cea2a639 · inbound

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

Open Problems in Machine Unlearning for AI Safety Rethinking Machine Unlearning for Large Language Models

Reference 78

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Observation 43fa941f-bc85-45fa-9306-d71125a8692c · inbound

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating cites this paper.

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating Rethinking Machine Unlearning for Large Language Models

Reference 43

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Observation 9a67d7ca-f77f-4652-8175-fc201462abfa · inbound

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities cites this paper.

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities Rethinking Machine Unlearning for Large Language Models

Reference 42

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Observation 4b8c5de1-8909-4e67-8d58-6f9a875dd5e6 · inbound

A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks cites this paper.

A Survey of Theory of Mind in Large Language Models: Evaluations, Representations, and Safety Risks Rethinking Machine Unlearning for Large Language Models

Reference 28

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Observation 9eaf6612-b391-464a-99a2-ef01f4b73d78 · inbound

Knowledge Swapping via Learning and Unlearning cites this paper.

Knowledge Swapping via Learning and Unlearning Rethinking Machine Unlearning for Large Language Models

Reference 2022

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Automatic Calibration for Membership Inference Attack on Large Language Models cites this paper.

Automatic Calibration for Membership Inference Attack on Large Language Models Rethinking Machine Unlearning for Large Language Models

Reference 14

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OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models cites this paper.

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Rethinking Machine Unlearning for Large Language Models

Reference 34

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Retrieval Augmented Generation Evaluation for Health Documents cites this paper.

Retrieval Augmented Generation Evaluation for Health Documents Rethinking Machine Unlearning for Large Language Models

Reference 25

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Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M cites this paper.

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M Rethinking Machine Unlearning for Large Language Models

Reference 20

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Observation f51eee70-a9c4-4760-9381-122a9066d5b0 · inbound

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

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Rethinking Machine Unlearning for Large Language Models

Reference 41

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Observation d39c5397-f114-4499-8a31-5338f1812098 · inbound

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models cites this paper.

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models Rethinking Machine Unlearning for Large Language Models

Reference 23

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Observation 5be0cd80-0b1d-4ffa-b66e-88c4344deaff · inbound

Certified Unlearning for Neural Networks cites this paper.

Certified Unlearning for Neural Networks Rethinking Machine Unlearning for Large Language Models

Reference 26

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LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent Rethinking Machine Unlearning for Large Language Models

Reference 5

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

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

Reference 10

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SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks cites this paper.

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Rethinking Machine Unlearning for Large Language Models

Reference 55

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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 Rethinking Machine Unlearning for Large Language Models

Reference 20

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Observation d911cbf0-64e7-4088-87b8-f12be1720d27 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Rethinking Machine Unlearning for Large Language Models

Reference 33

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Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design cites this paper.

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Rethinking Machine Unlearning for Large Language Models

Reference 4

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers cites this paper.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Rethinking Machine Unlearning for Large Language Models

Reference 32

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EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget cites this paper.

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget Rethinking Machine Unlearning for Large Language Models

Reference 10

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A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning cites this paper.

A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning Rethinking Machine Unlearning for Large Language Models

Reference 33

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Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Rethinking Machine Unlearning for Large Language Models

Reference 150

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Observation eeadee5a-7e13-44c2-a440-688dff4375f9 · inbound

Model Unlearning Objectives Vary for Distinct Language Functions cites this paper.

Model Unlearning Objectives Vary for Distinct Language Functions Rethinking Machine Unlearning for Large Language Models

Reference 5

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Observation fd323305-a778-437b-bdb4-bb0392a572eb · inbound

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation cites this paper.

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation Rethinking Machine Unlearning for Large Language Models

Reference 38

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Observation 84ea8f7a-581a-4011-b8ea-915e215c93b2 · inbound

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

RepSelect: Robust LLM Unlearning via Representation Selectivity Rethinking Machine Unlearning for Large Language Models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:58:47.212712Z

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Observation 486c8d15-0ffb-47b5-8b3e-eecb406617b3 · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Rethinking Machine Unlearning for Large Language Models

Reference 74

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Observation c51865bc-c2e9-4872-9020-5b5fe8f91b92 · inbound

MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs cites this paper.

MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs Rethinking Machine Unlearning for Large Language Models

Reference 8

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Understanding Machine Unlearning Through the Lens of Mode Connectivity cites this paper.

Understanding Machine Unlearning Through the Lens of Mode Connectivity Rethinking Machine Unlearning for Large Language Models

Reference 45

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Policy-Masked Private Experts: Auditable and Reversible Capability Access Control in Sparse MoE Models cites this paper.

Policy-Masked Private Experts: Auditable and Reversible Capability Access Control in Sparse MoE Models Rethinking Machine Unlearning for Large Language Models

Reference 19

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MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning cites this paper.

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning Rethinking Machine Unlearning for Large Language Models

Reference 185

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