Paper Citation Record · LEDGER

A Survey of Machine Unlearning

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2209.02299.

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

pith.paper-citation-record.v1
2209.02299 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:27:21.659846Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:27:50.517134Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 87f7058d-6b21-4a13-8efe-f40b30716c56 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents A Survey of Machine Unlearning

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.450604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa0ce039-8eb6-4895-83c0-fa27b21933f7 · 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 A Survey of Machine Unlearning

Reference 225

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:56:23.593161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5f0b11c6-2377-44a3-b51a-9bb86746e015 · inbound

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

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning A Survey of Machine Unlearning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:26:55.061218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 233a7828-8a8a-4e50-a1ad-ffcca9b0da6f · inbound

Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey A Survey of Machine Unlearning

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.685021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 05843800-ac7b-4516-8142-e516993ca68f · inbound

Towards Certified Unlearning for Deep Neural Networks cites this paper.

Towards Certified Unlearning for Deep Neural Networks A Survey of Machine Unlearning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:03:30.827693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13e44458-e59d-4119-a8b5-755f8c82ccf7 · inbound

Verification of Machine Unlearning is Fragile cites this paper.

Verification of Machine Unlearning is Fragile A Survey of Machine Unlearning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:25:50.530736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b26aca3-9352-48ec-b76e-c684eacfd66a · 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 A Survey of Machine Unlearning

Reference 2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 51ef4367-990e-455e-9b9c-5ce6da5793ff · inbound

Improving LLM Unlearning Robustness via Random Perturbations cites this paper.

Improving LLM Unlearning Robustness via Random Perturbations A Survey of Machine Unlearning

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:42:33.305756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2926b40-36db-440f-bbd6-cf0e4dffe47f · inbound

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification cites this paper.

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification A Survey of Machine Unlearning

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:37:14.096946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3bfd1dc0-b989-46fa-998a-1b0ee199bd14 · inbound

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset cites this paper.

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset A Survey of Machine Unlearning

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:11.096584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de9b93d3-a2b9-4a7a-95e7-b39c4115a8a4 · inbound

The Measure of Deception: An Analysis of Data Forging in Machine Unlearning cites this paper.

The Measure of Deception: An Analysis of Data Forging in Machine Unlearning A Survey of Machine Unlearning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:42:47.381428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ad36c83-7027-4ce1-bd45-4a21c8f3cdf0 · inbound

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning cites this paper.

Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning A Survey of Machine Unlearning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T11:27:21.659846Z

Source-reported events for the cited work

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Observation 3b53cb84-2fb3-4ec0-9c7f-647e33159785 · inbound

Sequential Subspace Noise Injection Prevents Accuracy Collapse in Certified Unlearning cites this paper.

Sequential Subspace Noise Injection Prevents Accuracy Collapse in Certified Unlearning A Survey of Machine Unlearning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T11:54:00.531779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0262184-fde4-478a-a7ca-69d87b64ceb7 · inbound

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking cites this paper.

Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking A Survey of Machine Unlearning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:14:16.709173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30d6ff40-aee3-4d08-8871-2a772226a895 · inbound

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cites this paper.

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning A Survey of Machine Unlearning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:42.937561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f488c9b-4442-46db-895e-813cf26d687d · inbound

Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? A Survey of Machine Unlearning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:30:59.091610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea9c61c9-e3d3-4ae1-802c-4562b0a5603f · inbound

Efficient Unlearning through Maximizing Relearning Convergence Delay cites this paper.

Efficient Unlearning through Maximizing Relearning Convergence Delay A Survey of Machine Unlearning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:26:02.126798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 029e2b83-f3d3-4829-b3f0-242669f1fb0e · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning A Survey of Machine Unlearning

Reference 170

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.238002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55aace70-1b85-45f7-8716-daad0026da0a · inbound

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning cites this paper.

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning A Survey of Machine Unlearning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:06.628672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 76563ab7-f778-46a2-acb0-f5b095739400 · inbound

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning cites this paper.

LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning A Survey of Machine Unlearning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:22.709970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b909d24-14da-4cc0-9f5b-6350ea53c0e1 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set A Survey of Machine Unlearning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:11:08.422074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bbfd3178-f5e8-4fc0-957d-3b77679e9460 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set A Survey of Machine Unlearning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:35:28.966420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0ebff3d4-484e-45c0-ad47-46d492a4b47b · inbound

Exact Unlearning from Proxies Induces Closeness Guarantees on Approximate Unlearning cites this paper.

Exact Unlearning from Proxies Induces Closeness Guarantees on Approximate Unlearning A Survey of Machine Unlearning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:16:29.654347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2820ef4-1245-4ca6-a90e-b35fe4707ac5 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces A Survey of Machine Unlearning

Reference 264

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:17:55.456533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50f88544-41c4-4a76-8530-1214203f75fe · inbound

Inducing Artificial Uncertainty in Language Models cites this paper.

Inducing Artificial Uncertainty in Language Models A Survey of Machine Unlearning

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:12:55.532482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 23f2d5c5-b87c-4ce2-9cc3-e2d1b9ccfe2a · inbound

PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement cites this paper.

PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement A Survey of Machine Unlearning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T06:18:42.939955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c520f5ea-e749-4cc4-ac76-52ed112c4d5a · inbound

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking cites this paper.

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking A Survey of Machine Unlearning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:27:50.536199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c4e83d2-82e0-4b60-8bf4-3716a429421f · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks A Survey of Machine Unlearning

Reference 65

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T15:47:23.283798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04950356-b81b-4b3a-a91f-8eccbf16b081 · inbound

Gradient Concentration, Not Weight Saliency, Explains Representation-Level Class Unlearning cites this paper.

Gradient Concentration, Not Weight Saliency, Explains Representation-Level Class Unlearning A Survey of Machine Unlearning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T07:47:11.843091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eeebce0-7065-43ba-8a9b-fad81bb182cc · inbound

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

DECAF: De-Clustering for Adaptive Representational Unlearning A Survey of Machine Unlearning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T23:33:51.371798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab6abdc-541c-4fee-92a5-a3540fafe80d · inbound

LU-500: A Logo Benchmark for Concept Unlearning cites this paper.

LU-500: A Logo Benchmark for Concept Unlearning A Survey of Machine Unlearning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T23:06:19.152638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.