Paper Citation Record · LEDGER

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA

As of 5 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2411.08443.

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

pith.paper-citation-record.v1
2411.08443 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T17:31:22.791816Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:34:00.967431Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact12
verified fuzzy32
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15e94cc3-5ea5-4327-8eac-bd2326e68b8a · outbound

This paper cites Kga: A general machine unlearning framework based on knowledge gap alignment.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Kga: A general machine unlearning framework based on knowledge gap alignment

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.856293Z

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Observation 1b26aca3-9352-48ec-b76e-c684eacfd66a · outbound

This paper cites A Survey of Machine Unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA A Survey of Machine Unlearning

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:15.768375Z

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Observation 9339211d-71b4-44aa-b94c-bafe59a9c84a · outbound

This paper cites Machine unlearning: A survey.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Machine unlearning: A survey

Reference 3

Resolution: verified exact; doi, observed 2026-05-23T17:33:14.939230Z

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Observation df16dd89-94f8-4002-a29d-6fc1c302960d · outbound

This paper cites Machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Machine unlearning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.853181Z

Source-reported events for the cited work

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Observation caa616bc-dda1-4857-b2a0-bf6d6a9f6510 · outbound

This paper cites Erm-ktp: Knowledge-level machine unlearning via knowledge transfer.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Erm-ktp: Knowledge-level machine unlearning via knowledge transfer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.849842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96938c6d-64a0-4c94-979f-ad87591cea51 · outbound

This paper cites Certified Data Removal from Machine Learning Models.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Certified Data Removal from Machine Learning Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:15.764538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7164e663-3028-4db7-b719-4fbdf6c6d620 · outbound

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

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:33:15.759839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 395e9262-6af1-4e3c-86b4-7c5ee83b0034 · outbound

This paper cites Towards making systems forget with machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Towards making systems forget with machine unlearning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.846665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5432e53d-85fd-4a54-96d3-b5a90ab9ff42 · outbound

This paper cites Remember what you want to forget: Algorithms for machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Remember what you want to forget: Algorithms for machine unlearning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.843579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 62d97fc9-ac42-400d-bb77-e5219ea73103 · outbound

This paper cites Differential privacy.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Differential privacy

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.840305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc709d89-c2e4-417f-89a5-b37b4880caae · outbound

This paper cites Making ai forget you: Data deletion in machine learning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Making ai forget you: Data deletion in machine learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.837772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50f503ea-5d7a-405f-b827-2930143bb906 · outbound

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

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Unrolling sgd: Understanding factors influencing machine unlearning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.834458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b4c5f0f-3f98-485d-9acf-397a7f96716a · outbound

This paper cites Approximate data deletion from machine learning models.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Approximate data deletion from machine learning models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.831636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6ff40a6-2845-4e38-81a7-29847183d05d · outbound

This paper cites Descent-to-delete: Gradient-based methods for machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Descent-to-delete: Gradient-based methods for machine unlearning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.828904Z

Source-reported events for the cited work

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Observation c70272ee-dc9e-48e5-8d91-119f3145764e · outbound

This paper cites Amnesiac machine learning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Amnesiac machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.826186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be3e1734-cfcc-4c3c-8ea4-21736b22e9dc · outbound

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

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Eternal sunshine of the spotless net: Selective forgetting in deep networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.823456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0710489a-86b1-4364-bd78-d56e5097f1ba · outbound

This paper cites Machine Unlearning of Features and Labels.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Machine Unlearning of Features and Labels

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:15.755912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 953123ae-70c0-493f-905f-695c709a222c · outbound

This paper cites On the necessity of auditable algorithmic definitions for machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA On the necessity of auditable algorithmic definitions for machine unlearning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.803595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99a60d1f-58d1-49e0-9ada-ec3db3d3d889 · outbound

This paper cites Fast yet effective machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Fast yet effective machine unlearning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.797130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5eb230f4-cb5c-43b4-9547-aaf169ae5a05 · outbound

This paper cites Zero- shot machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Zero- shot machine unlearning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.813414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7782e7fe-b8da-4608-b1c8-22219c32caef · outbound

This paper cites Few-Shot Unlearning by Model Inversion.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Few-Shot Unlearning by Model Inversion

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:33:15.751205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22460448-134d-4c48-b9d3-5f624a131617 · outbound

This paper cites Learning to unlearn: Instance-wise unlearning for pre-trained classifiers.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Learning to unlearn: Instance-wise unlearning for pre-trained classifiers

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.793795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 347fc03b-ce3d-4d64-808f-d64463d03fc3 · outbound

This paper cites Mixed-privacy forgetting in deep networks.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Mixed-privacy forgetting in deep networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.800280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6902d1d1-7faf-460a-ba9b-3d1a2b8ba4d2 · outbound

This paper cites Deep unlearning via randomized conditionally independent hessians.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Deep unlearning via randomized conditionally independent hessians

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.806910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32e34dd4-006c-4578-b25b-522f1c6ec66d · outbound

This paper cites Efficient two-stage model retraining for machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Efficient two-stage model retraining for machine unlearning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.810255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eac4c85e-c643-41d1-976e-ec4d8a7a3705 · outbound

This paper cites ARCANE: an efficient architecture for exact machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA ARCANE: an efficient architecture for exact machine unlearning

Reference 26

Resolution: verified exact; doi, observed 2026-05-23T17:33:14.945431Z

Source-reported events for the cited work

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Observation 4d1401a1-4e98-4830-9b26-1e1991b841aa · outbound

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

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Understanding black-box predictions via influence functions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.787534Z

Source-reported events for the cited work

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Observation a9860c89-8be9-4c81-b847-bee3217a0381 · outbound

This paper cites Can bad teaching induce forgetting? unlearning in deep networks using an incompetent teacher.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Can bad teaching induce forgetting? unlearning in deep networks using an incompetent teacher

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.784402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81432edb-1778-4702-a92a-380d48929345 · outbound

This paper cites Fitnets: Hints for thin deep nets.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Fitnets: Hints for thin deep nets

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.781183Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20ccefd0-8507-4449-8c77-ae704dd943df · outbound

This paper cites Auto-Encoding Variational Bayes.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Auto-Encoding Variational Bayes

Reference 30

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Source-reported events for the cited work

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Observation fc3c6cd6-e6f4-4125-a1de-68ec0971369e · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA High- resolution image synthesis with latent diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.790421Z

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Observation 440c34c4-6d57-4c25-a77a-53994f3c8be0 · outbound

This paper cites Towards unbounded machine unlearning.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Towards unbounded machine unlearning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.775082Z

Source-reported events for the cited work

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Observation c959b8b2-440c-4085-9a91-b0614a328f0d · outbound

This paper cites Knowledge distillation: A survey.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Knowledge distillation: A survey

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.771664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 229d39c8-ca58-47d4-aacb-32ac64b49621 · outbound

This paper cites Learning multiple layers of features from tiny images.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Learning multiple layers of features from tiny images

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.778156Z

Source-reported events for the cited work

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Observation f8dd380a-7c6e-4fb6-b468-5ddcb043f76d · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:33:15.773534Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e7df35c5-409c-4617-96bb-b011c4027879 · outbound

This paper cites Learning word vectors for sentiment analysis.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Learning word vectors for sentiment analysis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.765328Z

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Observation b08c7647-9448-406f-aeac-182a1f71108d · outbound

This paper cites Deep residual learning for image recognition.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Deep residual learning for image recognition

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.762671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 587847cd-6e3a-4743-b08a-5b22ba66965e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:33:15.736472Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b9d0a7b-aa03-48d2-8c7f-13b8f156d5c4 · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA ImageNet Large Scale Visual Recognition Challenge

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.768717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 94cc924b-db9e-4fe5-8c99-b4c0e5a1eb6c · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:33:15.777649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a24f0065-710d-4937-85b0-754c8a8d2c52 · outbound

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

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-23T17:33:15.746561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 02d906a4-4cd1-44f4-8519-6eb539e91361 · outbound

This paper cites Language models are unsupervised multitask learners.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Language models are unsupervised multitask learners

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.820255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 511818b6-a589-4107-93bb-eccc219cd090 · outbound

This paper cites Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Boundary unlearning: Rapid forgetting of deep networks via shifting the decision boundary

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.816900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fb24a125-624d-45d2-a09f-e0e93e07b5e3 · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA Catastrophic forgetting in connectionist networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T17:33:16.859241Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 6b905087-c4ee-4c63-ba5e-995b2f83b844 · inbound

DECAF: De-Clustering for Adaptive Representational Unlearning cites this paper.

DECAF: De-Clustering for Adaptive Representational Unlearning Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA

Reference 127

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.