Paper Citation Record · LEDGER

Module-Aware Parameter-Efficient Machine Unlearning on Transformers

As of 9 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2508.17233.

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

pith.paper-citation-record.v1
2508.17233 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:06:15.656644Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:29:07.836856Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

verified exact4
verified fuzzy16
unresolved40
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f31df106-1d86-4515-9273-77a8a75cdf48 · outbound

This paper cites GPT-4 Technical Report.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers GPT-4 Technical Report

Reference 1

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Observation fdcdd88d-35c7-4c24-a058-bc0235c20e07 · outbound

This paper cites Fisher information and natural gradient learning in random deep networks.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Fisher information and natural gradient learning in random deep networks

Reference 2

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Observation 75407343-aa16-472a-bcf3-fd18e3a49f95 · outbound

This paper cites Machine unlearning.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Machine unlearning

Reference 3

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Observation 137c0281-dfc0-4de5-973c-b04125376d41 · outbound

This paper cites Towards making systems forget with machine unlearning.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Towards making systems forget with machine unlearning

Reference 4

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Observation ef76b28b-ce35-44dd-82b7-799fb81b2489 · outbound

This paper cites Machine Unlearning in Large Language Models.

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

Reference 5

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Observation bba8714a-d797-441d-ae1d-a39977259a4a · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

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Observation 56258cf6-8917-4d07-8443-2c2caa3e9b90 · outbound

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

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods

Reference 7

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Observation e7056a38-ea2d-44f9-9b56-dec1254c3b40 · outbound

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

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Who's Harry Potter? Approximate Unlearning in LLMs

Reference 8

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Observation a048bfb8-33ce-4826-851b-76387aadcafb · outbound

This paper cites Fast machine unlearning without retraining through selective synaptic dampening.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Fast machine unlearning without retraining through selective synaptic dampening

Reference 9

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Observation c5c6b57a-2df2-453f-b308-1f30f5a05d7f · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 10

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Observation fa760806-608d-49d9-bc25-66322cf0bc44 · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 11

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Observation dc817490-3413-4359-b32b-8b28d4df525b · outbound

This paper cites Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models

Reference 12

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Observation af250d22-f5e4-4c13-ba6e-a871ae931d8d · outbound

This paper cites Certified data removal from machine learning models.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Certified data removal from machine learning models

Reference 13

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Observation 26e58c0d-ad24-4cdd-8da2-e5f87dac745d · outbound

This paper cites Visualizing and Understanding the Effectiveness of BERT.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Visualizing and Understanding the Effectiveness of BERT

Reference 14

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Observation 1a2c8ec2-4d47-49f3-a93a-7e62b25c7956 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Measuring Massive Multitask Language Understanding

Reference 15

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Observation 4f1ec356-daeb-4163-8ede-70315b359ef7 · outbound

This paper cites The euro- pean union general data protection regulation: what it is and what it means.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers The euro- pean union general data protection regulation: what it is and what it means

Reference 16

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Observation 0a786356-05c2-4543-a2fa-15357849d798 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

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Observation f1f1f6f7-38e0-4c52-b53f-11053fbdaacb · outbound

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

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Jogging the memory of unlearned llms through targeted relearning attacks

Reference 18

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Observation 9e7f3d12-1807-452b-9667-cc2853026d83 · outbound

This paper cites Eraser: Machine unlearning in mlaas via an inference serving-aware approach.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Eraser: Machine unlearning in mlaas via an inference serving-aware approach

Reference 19

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Observation 7429b3d1-32a4-4e56-8d1c-ff82fb1e5e4c · outbound

This paper cites FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information

Reference 20

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Observation c663cef0-6ea3-4f83-bfd8-72a7ca913636 · outbound

This paper cites Approximate data deletion from machine learning models.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Approximate data deletion from machine learning models

Reference 21

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Observation edb19c8f-64f9-4099-be8d-33873c085e82 · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 22

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Observation 61e97239-8964-4f75-aa9f-a76a3d786e71 · outbound

This paper cites SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Reference 23

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Observation 8281c529-dd4c-4866-8096-fc7d9860d8d7 · outbound

This paper cites Understanding black-box predictions via influence functions.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Understanding black-box predictions via influence functions

Reference 24

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Observation 2487cb2a-1a5f-4086-9ec8-7eba0385deed · outbound

This paper cites A fast post-training pruning framework for transformers.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers A fast post-training pruning framework for transformers

Reference 25

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Observation 97bcf7f1-9e0f-4ced-93c4-a9e61d9e838d · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Optimal brain damage

Reference 26

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Observation 581e6de7-2cf2-4ced-a166-7f993cf5f204 · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 27

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Observation 1764beee-de77-4d4c-82e8-b558720965f0 · outbound

This paper cites Continual learning and private unlearning.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Continual learning and private unlearning

Reference 28

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Observation ac539a2c-8257-49f6-8b9c-314133d4bdcf · outbound

This paper cites Model sparsity can simplify machine unlearning.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Model sparsity can simplify machine unlearning

Reference 29

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Observation 4ae1c093-81c0-4854-8358-b65881886380 · outbound

This paper cites Certified minimax unlearning with generalization rates and deletion capacity.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Certified minimax unlearning with generalization rates and deletion capacity

Reference 30

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Observation 8c70ee11-a21f-4a96-8c24-5b92bc3ea90c · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Muter: Machine unlearning on adversarially trained models

Reference 31

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Observation 8e57d700-4c93-44b8-b725-93716675060d · outbound

This paper cites Rethinking Machine Unlearning for Large Language Models.

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

Reference 32

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 33

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Unlearning with Fisher Masking

Reference 34

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This paper cites An Adversarial Perspective on Machine Unlearning for AI Safety.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers An Adversarial Perspective on Machine Unlearning for AI Safety

Reference 35

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

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 36

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Learn to forget: Machine unlearning via neuron masking

Reference 37

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Observation 5105d15d-da70-4c1e-a4d8-6e2323ddb460 · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers TOFU: A Task of Fictitious Unlearning for LLMs

Reference 38

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers SSSE: Efficiently Erasing Samples from Trained Machine Learning Models

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Dissecting Language Models: Machine Unlearning via Selective Pruning

Reference 40

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Direct preference optimization: Your language model is secretly a reward model

Reference 41

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 42

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening

Reference 43

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Observation 899a50a0-ae1b-429f-80f9-40f9000317b0 · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal

Reference 44

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Observation 237cbc5c-9434-4dde-a132-ee2fdb76f8f4 · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Privacy risks of securing machine learning models against adversarial examples

Reference 45

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Observation 203fcfca-877d-4fd8-8672-30676c0300f0 · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers A Simple and Effective Pruning Approach for Large Language Models

Reference 46

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Zephyr: Direct Distillation of LM Alignment

Reference 48

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Attention is all you need

Reference 49

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 50

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Machine Unlearning of Features and Labels

Reference 51

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Why do pretrained language models help in downstream tasks? an analysis of head and prompt tuning

Reference 52

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Observation 980d8888-b7a2-483f-b141-150759e458c8 · outbound

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks

Reference 53

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Machine Unlearning of Pre-trained Large Language Models

Reference 54

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Large Language Model Unlearning

Reference 55

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Module-Aware Parameter-Efficient Machine Unlearning on Transformers Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 56

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This paper cites Unveiling Linguistic Regions in Large Language Models.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Unveiling Linguistic Regions in Large Language Models

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:06:16.059299Z

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Observation 22f59a24-4200-4a1b-a07c-d68e735f1dd1 · outbound

This paper cites Catastrophic Failure of LLM Unlearning via Quantization.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Catastrophic Failure of LLM Unlearning via Quantization

Reference 58

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Observation 20775a31-8b11-4c30-880a-5aec102c43a8 · outbound

This paper cites Unlike previous methods, this approach directly employs a Taylor expansion around the original model parameters.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers Unlike previous methods, this approach directly employs a Taylor expansion around the original model parameters

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:06:19.829110Z

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Observation 14acdc81-8570-4c20-aeb1-f1bc4005286d · outbound

This paper cites To further investigate this claim, we conducted a comparative analysis of three selective parameter update strategies: heads-only, filters- only, and heads&filters in Figure 7.

Module-Aware Parameter-Efficient Machine Unlearning on Transformers To further investigate this claim, we conducted a comparative analysis of three selective parameter update strategies: heads-only, filters- only, and heads&filters in Figure 7

Reference 60

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Pith citing papers

Observation 6137b76d-e9c0-4c01-89bf-dcc532ac5edc · inbound

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning cites this paper.

TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning Module-Aware Parameter-Efficient Machine Unlearning on Transformers

Reference 22

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