Paper Citation Record · LEDGER

Machine Unlearning of Features and Labels

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2108.11577.

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

pith.paper-citation-record.v1
2108.11577 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:58.646404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:16.684381Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2fc37ec-9352-41bd-a802-84a94e219e5b · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Machine Unlearning of Features and Labels

Reference 208

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:56:23.524445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA cites this paper.

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 2026-08-22T06:32:14.747728+00:00.

Observation 842b04df-974b-4e2a-b411-c3a72d2735a3 · inbound

A Review on Machine Unlearning cites this paper.

A Review on Machine Unlearning Machine Unlearning of Features and Labels

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T18:42:45.571050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f76e02-1334-43d7-9a97-92ffcfabd627 · inbound

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

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations Machine Unlearning of Features and Labels

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:18:31.626559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f7324f-32e6-466f-8825-d715d459b064 · inbound

MUNBa: Machine Unlearning via Nash Bargaining cites this paper.

MUNBa: Machine Unlearning via Nash Bargaining Machine Unlearning of Features and Labels

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:47.755167Z

Source-reported events for the cited work

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Observation 1429a869-8f51-47b2-b447-550444ff6519 · inbound

Siamese Machine Unlearning with Knowledge Vaporization and Concentration cites this paper.

Siamese Machine Unlearning with Knowledge Vaporization and Concentration Machine Unlearning of Features and Labels

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T04:41:55.412705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704b6e9a-a140-4930-a8a8-b81545c25b05 · inbound

A hybrid framework for effective and efficient machine unlearning cites this paper.

A hybrid framework for effective and efficient machine unlearning Machine Unlearning of Features and Labels

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:04.567403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c64f78-a3dc-4ced-a2cd-307206ec0c26 · inbound

Unlearning Clients, Features and Samples in Vertical Federated Learning cites this paper.

Unlearning Clients, Features and Samples in Vertical Federated Learning Machine Unlearning of Features and Labels

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:20.210721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae28cc41-b9c5-4bb0-b4f3-8cff0e8059f7 · inbound

Machine Unlearning via Information Theoretic Regularization cites this paper.

Machine Unlearning via Information Theoretic Regularization Machine Unlearning of Features and Labels

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T18:31:20.896558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc953ad2-bd99-4a2c-93a3-72e81e236902 · inbound

SEMU: Singular Value Decomposition for Efficient Machine Unlearning cites this paper.

SEMU: Singular Value Decomposition for Efficient Machine Unlearning Machine Unlearning of Features and Labels

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:19:04.558395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed6243c-2cc3-4641-91a1-2df66f22f3f4 · inbound

How to Achieve Higher Accuracy with Less Training Points? cites this paper.

How to Achieve Higher Accuracy with Less Training Points? Machine Unlearning of Features and Labels

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:07:58.646404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3f2853-da77-408a-8365-500b059eb11d · inbound

RUB: Evaluating Residual Knowledge in Unlearned Models cites this paper.

RUB: Evaluating Residual Knowledge in Unlearned Models Machine Unlearning of Features and Labels

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:45:33.024303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4be1d5c-acc2-462f-89e5-8e1ac19c58da · inbound

Efficient Machine Unlearning by Model Splitting and Core Sample Selection cites this paper.

Efficient Machine Unlearning by Model Splitting and Core Sample Selection Machine Unlearning of Features and Labels

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:36:06.567090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5246eba2-5a36-4ca2-8bd6-bb4a7d18819c · inbound

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning cites this paper.

Mirror Mirror on the Wall, Have I Forgotten it All? A New Framework for Evaluating Machine Unlearning Machine Unlearning of Features and Labels

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:11:08.666413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29aa2c2a-e2b7-4eff-bfb0-f37ce2daec81 · inbound

Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning cites this paper.

Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning Machine Unlearning of Features and Labels

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:31:44.861811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f495262-edee-4af1-a5d2-f7aaf0f68dc1 · inbound

Unlearning Algorithmic Biases over Graphs cites this paper.

Unlearning Algorithmic Biases over Graphs Machine Unlearning of Features and Labels

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:33:56.283886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac1799c-1782-42fb-9353-9569638ffdf7 · inbound

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 Machine Unlearning of Features and Labels

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:17.024507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0fbd1d-6c58-45ab-bb44-90c25eed3d5a · inbound

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement cites this paper.

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement Machine Unlearning of Features and Labels

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T18:38:40.393128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab94e9e7-25c3-45a3-9cd7-15a23c8c866f · inbound

On the Necessity of Output Distribution Reweighting for Effective Class Unlearning cites this paper.

On the Necessity of Output Distribution Reweighting for Effective Class Unlearning Machine Unlearning of Features and Labels

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:49.813721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ce1109-a11b-4a6c-9107-c7e33bd4f378 · inbound

Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster cites this paper.

Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster Machine Unlearning of Features and Labels

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.754214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8170fab7-ec1c-485d-af87-c27a11d6ed16 · inbound

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation cites this paper.

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation Machine Unlearning of Features and Labels

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T12:32:06.574535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ad36ca-4f5e-4519-be80-dccb02c2a659 · inbound

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning cites this paper.

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Machine Unlearning of Features and Labels

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T11:42:04.489651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46cb6d27-b84a-4589-889c-99bfe735ecdb · inbound

Membership Inference Attacks with False Discovery Rate Control cites this paper.

Membership Inference Attacks with False Discovery Rate Control Machine Unlearning of Features and Labels

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:06.197869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab6aca6-aa17-4db2-8330-da80ebc131a8 · inbound

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 Machine Unlearning of Features and Labels

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:26.791181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6ca2b3-fc54-4735-8246-5ace697e18f5 · inbound

Towards Source-Free Machine Unlearning cites this paper.

Towards Source-Free Machine Unlearning Machine Unlearning of Features and Labels

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T18:12:30.219842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e498ce8e-5765-405a-b93d-92b52333f0dd · inbound

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning cites this paper.

BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning Machine Unlearning of Features and Labels

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T17:58:48.552966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40522e4f-51d3-44d0-af8c-2924ed08ecec · inbound

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

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

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T17:06:14.689703Z

Source-reported events for the cited work

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Observation 5f62f9b1-b251-484a-a42a-913b92001bc2 · inbound

Unbiased Rectification for Sequential Recommender Systems Under Fake Orders cites this paper.

Unbiased Rectification for Sequential Recommender Systems Under Fake Orders Machine Unlearning of Features and Labels

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:27:48.223337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01b44095-2d97-444d-9e72-64461e62e0a8 · inbound

Efficient Unlearning through Maximizing Relearning Convergence Delay cites this paper.

Efficient Unlearning through Maximizing Relearning Convergence Delay Machine Unlearning of Features and Labels

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.618936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8224ae78-a0d5-44ad-9a8f-6343c309b2f1 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Machine Unlearning of Features and Labels

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.364173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc3b1a6e-9f4c-4a26-b7d6-1bf9861537f2 · inbound

Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification cites this paper.

Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification Machine Unlearning of Features and Labels

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:21:09.970687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe33ee14-85be-4f31-9bb8-99844bea8947 · inbound

BARRIER: Bounded Activation Regions for Robust Information Erasure cites this paper.

BARRIER: Bounded Activation Regions for Robust Information Erasure Machine Unlearning of Features and Labels

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:18:54.728151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc3ad69d-2cde-422f-bdf2-29b48ae1f1eb · inbound

Multi-Objective Reference-Aligned Machine Unlearning cites this paper.

Multi-Objective Reference-Aligned Machine Unlearning Machine Unlearning of Features and Labels

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.150440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76134e35-4bc9-4c0e-9ae9-63888fa58ed9 · inbound

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior cites this paper.

Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior Machine Unlearning of Features and Labels

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:16.686151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.