Paper Citation Record · LEDGER

Certified Data Removal from Machine Learning Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:1911.03030.

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

pith.paper-citation-record.v1
1911.03030 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:22.408427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.859666Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 f0ec1f06-a3a5-4d72-a4a1-cb6ced9b76e5 · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Certified Data Removal from Machine Learning Models

Reference 203

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:30:45.024270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f93e3e4-0095-4794-8590-4e0774d0bb77 · 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 Certified Data Removal from Machine Learning Models

Reference 214

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:56:23.548846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad2619d1-c30f-414d-b07f-07e42ccd213a · inbound

TOFU: A Task of Fictitious Unlearning for LLMs cites this paper.

TOFU: A Task of Fictitious Unlearning for LLMs Certified Data Removal from Machine Learning Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:07:39.267398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c86a0203-b634-4e95-96b3-ef2bcc9e2059 · inbound

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

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Certified Data Removal from Machine Learning Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:26:55.129944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74741e31-1b42-4031-905c-78fa0c23f10b · inbound

AdaProb: Efficient Machine Unlearning via Adaptive Probability cites this paper.

AdaProb: Efficient Machine Unlearning via Adaptive Probability Certified Data Removal from Machine Learning Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T17:15:43.732068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96938c6d-64a0-4c94-979f-ad87591cea51 · 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 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 2026-08-07T06:34:17.273281+00:00.

Observation f1094950-e7db-4215-abbd-80c37e78a14a · inbound

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

Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning Certified Data Removal from Machine Learning Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:31:44.880514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33f38e91-69a7-41bb-ac13-ca2bd42d1beb · inbound

DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge Certified Data Removal from Machine Learning Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:22.408427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc673a7-134f-4689-9483-1d23fb0737e5 · inbound

Model Immunization from a Condition Number Perspective cites this paper.

Model Immunization from a Condition Number Perspective Certified Data Removal from Machine Learning Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:21.862283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80afe54-171c-43b7-80ce-8e8ba7e26c2a · inbound

Existing Large Language Model Unlearning Evaluations Are Inconclusive cites this paper.

Existing Large Language Model Unlearning Evaluations Are Inconclusive Certified Data Removal from Machine Learning Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:52.568143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8438a1e0-4012-4a0e-a92c-2ec5f145be53 · inbound

Rescaled Influence Functions: Accurate Data Attribution in High Dimension cites this paper.

Rescaled Influence Functions: Accurate Data Attribution in High Dimension Certified Data Removal from Machine Learning Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:23.974299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43363dd3-a623-4840-a43a-7dbc0dcc090a · inbound

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 Certified Data Removal from Machine Learning Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:59.046002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b225a2de-e075-4831-9448-053fb308c440 · inbound

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning cites this paper.

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning Certified Data Removal from Machine Learning Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:24.456406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f48d7f-e39d-40b8-b9c2-d0adaecc95c0 · inbound

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

Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster Certified Data Removal from Machine Learning Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.690487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2849827f-2259-4c05-96d2-629045f4ef92 · inbound

How to Protect Models against Adversarial Unlearning? cites this paper.

How to Protect Models against Adversarial Unlearning? Certified Data Removal from Machine Learning Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:32.410118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a60822e9-67fa-4c1d-977c-4edf046822f0 · inbound

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

LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning Certified Data Removal from Machine Learning Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:42:04.338267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e73f4f-b707-4af4-b32f-bf722ddf3c94 · inbound

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

Membership Inference Attacks with False Discovery Rate Control Certified Data Removal from Machine Learning Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T22:28:05.998127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5913bc4a-eb20-416d-8a22-085e0e80a89e · 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 Certified Data Removal from Machine Learning Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:26.848088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061ef7a6-c120-435d-a384-a6d051b24680 · inbound

MRD-LiNet: A Novel Lightweight Hybrid CNN with Gradient-Guided Unlearning for Improved Drought Stress Identification cites this paper.

MRD-LiNet: A Novel Lightweight Hybrid CNN with Gradient-Guided Unlearning for Improved Drought Stress Identification Certified Data Removal from Machine Learning Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T23:48:44.894752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be9ecfc-2c29-42f5-8722-d7a74f20b5bf · inbound

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse cites this paper.

POUR: A Provably Optimal Method for Unlearning Representations via Neural Collapse Certified Data Removal from Machine Learning Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:54:08.290406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db1a8a41-70da-4d1c-8f7a-a533573eb3dc · 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 Certified Data Removal from Machine Learning Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:14:16.702622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4049400-a2a0-4881-9d10-1f7a519fc687 · inbound

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement cites this paper.

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement Certified Data Removal from Machine Learning Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:28:02.262288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eb4c419-60d8-4142-8389-fad401e10506 · inbound

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation cites this paper.

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation Certified Data Removal from Machine Learning Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:52.803762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a845f3ee-989b-47c6-9ad1-e4fae5085859 · inbound

Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach cites this paper.

Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach Certified Data Removal from Machine Learning Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:58.985340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 286b6881-7d05-4c59-8d86-ac92db1e1d8f · inbound

PrivEraserVerify: Efficient, Private, and Verifiable Federated Unlearning cites this paper.

PrivEraserVerify: Efficient, Private, and Verifiable Federated Unlearning Certified Data Removal from Machine Learning Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:15.095686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44551253-064f-4a92-8988-1daf560d2621 · inbound

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection cites this paper.

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection Certified Data Removal from Machine Learning Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:00.413001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a87212a3-8d6a-49a6-9754-2a8d6cdd9be1 · inbound

WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework cites this paper.

WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework Certified Data Removal from Machine Learning Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:30:31.199599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb298ed8-7b8d-4e07-984d-b74857cd4372 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Certified Data Removal from Machine Learning Models

Reference 156

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.277811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29c4a21b-cdbb-40a7-a08c-40457f3ca037 · inbound

Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers cites this paper.

Shape of Memory: a Geometric Analysis of Machine Unlearning in Second-Order Optimizers Certified Data Removal from Machine Learning Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:08.013774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0e5930a-3952-49c1-a2ce-914b1bc831f9 · inbound

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models cites this paper.

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models Certified Data Removal from Machine Learning Models

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:11:17.983004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3c38b21-e790-473f-8757-06047950767f · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Certified Data Removal from Machine Learning Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:31:13.841560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e25c4210-50b9-45d5-8d8f-4738e8b7295c · inbound

High-Dimensional Statistics: Reflections on Progress and Open Problems cites this paper.

High-Dimensional Statistics: Reflections on Progress and Open Problems Certified Data Removal from Machine Learning Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:35:08.080439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e167f291-901c-4bb9-8bf2-63986d95467e · inbound

Incentivizing User Data Contributions for LLM Improvement under Withdrawal Rights cites this paper.

Incentivizing User Data Contributions for LLM Improvement under Withdrawal Rights Certified Data Removal from Machine Learning Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:56.503928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae35552a-aea0-42a1-bd52-914bf70fa241 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Certified Data Removal from Machine Learning Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:28:38.871779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7be440a4-02b2-498b-806e-f3085b34b221 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Certified Data Removal from Machine Learning Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.643742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f02d012c-b2fd-47bd-858d-b2ef7e099354 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Certified Data Removal from Machine Learning Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:35:01.470457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aae2949a-fb97-4c59-8670-e47e75b1591d · inbound

Interference-Aware Multi-Task Unlearning cites this paper.

Interference-Aware Multi-Task Unlearning Certified Data Removal from Machine Learning Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:12.036997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b429f7ed-42f7-4b27-acc8-ce1c61aeac5e · 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 Certified Data Removal from Machine Learning Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:16.682429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29741a45-fed4-41de-b611-e116b8109e11 · inbound

Exact Unlearning in Reinforcement Learning cites this paper.

Exact Unlearning in Reinforcement Learning Certified Data Removal from Machine Learning Models

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:36:27.364431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 772f3959-9452-4678-a5e2-66d41fb7ce86 · inbound

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

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation Certified Data Removal from Machine Learning Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.213588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d223f281-473d-40e7-ba8b-a43bacc4d7c5 · inbound

TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations cites this paper.

TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations Certified Data Removal from Machine Learning Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:47.623965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd694a23-42ea-4b8d-a493-6081f72a7418 · inbound

FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters cites this paper.

FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters Certified Data Removal from Machine Learning Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:57.289762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97176f56-1580-4bb1-b1e6-bfce55e20460 · inbound

DFMU: Data-Frugal Machine Unlearning cites this paper.

DFMU: Data-Frugal Machine Unlearning Certified Data Removal from Machine Learning Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.861158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 843d8674-213b-49be-af00-1ec75328dec1 · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats Certified Data Removal from Machine Learning Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.755541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af236f9-48ae-4223-a374-580248292770 · inbound

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification cites this paper.

Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification Certified Data Removal from Machine Learning Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:43.498537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.