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Paper Citation Record · LEDGER

Towards Adversarial Evaluations for Inexact Machine Unlearning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2201.06640.

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

pith.paper-citation-record.v1
2201.06640 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:30:25.232341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T07:35:28.970458Z

Reference resolution

0 of 0 outbound references displayed

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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 5c9a2b8b-06a5-4119-bcd4-e9b1cd691fed · 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 Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 114

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metadata mismatch
arxiv_id, observed 2026-05-16T17:56:23.437217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T17:56:23.281678Z digest=sha256:15f44e0f09acf267a9549e597f577bd616da58d168d413586927bb1d8be4d458

Observation 49f5169c-34d7-4002-a7b1-e77d0d16bb49 · inbound

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

TOFU: A Task of Fictitious Unlearning for LLMs Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 8

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verified exact
arxiv_id, observed 2026-05-16T11:07:39.262545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T11:07:39.215164Z digest=sha256:612ace67c187be07976b43011c810d18c64b6cfcac2936ae083fe6e23c74e1a8

Observation 4cb4eae9-c913-41a2-b0dd-41f591e89fa5 · inbound

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

AdaProb: Efficient Machine Unlearning via Adaptive Probability Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 5

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verified exact
arxiv_id, observed 2026-05-23T17:15:43.710629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T17:13:32.169844Z digest=sha256:2a3e4e8b133f07d17a1e66dcb8e1e0c25e7bc8f615407d55519088deb22ac4d4

Observation fea1e2c4-2743-483b-8006-1ebfc6448a25 · inbound

How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks? cites this paper.

How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks? Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 5

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verified exact
arxiv_id, observed 2026-05-23T00:05:13.557864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T00:02:33.008566Z digest=sha256:57d33e2af8ce65ad16b8e9527246d93ac72be93647488e24465119fe0bfc6f41

Observation 54145ae9-bfb9-444a-af65-73281999a64e · inbound

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

Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 10

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verified exact
arxiv_id, observed 2026-05-22T15:31:44.868200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T15:27:28.694532Z digest=sha256:34b5429cbec6820af9809c4510ce43b3fc001412e65de5d557de151db0a0de8a

Observation 6160eea2-6c05-42c2-aa63-94f1e15b068d · inbound

Soft Weighted Machine Unlearning cites this paper.

Soft Weighted Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:30:25.232341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:30:25.232341Z digest=sha256:64dc3c1af546260223149ff13891b7784e0028a077478445925dd99dc24a90a9

Observation 07fad513-a354-45bb-b525-dc59e1b8ce1c · inbound

Leveraging Per-Instance Privacy for Machine Unlearning cites this paper.

Leveraging Per-Instance Privacy for Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 2019

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unresolved
no resolver link, observed 2026-08-07T14:29:49.062968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:49.062968Z digest=sha256:c205a815e89a537f49344b5030eabe2d4e91373b1b49c33dc4cae1ba15b71b77

Observation 537c2138-d20e-4cda-bc81-9cb4ad84a4fb · inbound

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster cites this paper.

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 32

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unresolved
no resolver link, observed 2026-08-07T06:14:43.532788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:14:43.532788Z digest=sha256:8a799b6de046e46c0ce293204d76ee5f2ebf33bb086bd4964647fa4464f81c76

Observation eb2a5d9c-bf22-4beb-a556-ab72719c5d11 · inbound

The Space Complexity of Learning-Unlearning Algorithms cites this paper.

The Space Complexity of Learning-Unlearning Algorithms Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 43

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unresolved
no resolver link, observed 2026-08-07T00:53:48.044883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:53:48.044883Z digest=sha256:c167bfc7ae3037deec9da58cd8b24ed6856df1ea69e5870e3f89ffbc95f2fa72

Observation 0cb97f72-084f-41fc-9793-8d37e779812f · inbound

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

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 36

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verified exact
arxiv_id, observed 2026-05-19T09:37:14.158372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T09:35:00.520860Z digest=sha256:9e2749e51ee6a1a40540a8a2c37af2c1d72b5c5e970eef08da91b8649a505522

Observation df6a8472-27ce-451d-9f12-3e37fa7c3372 · inbound

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings cites this paper.

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 11

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unresolved
no resolver link, observed 2026-08-06T21:54:43.704896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.704896Z digest=sha256:ba800be2b66e09e9bd8bb72c76762ddb6d4c833e8c5ad9bff90c7554c81be659

Observation 05eb4748-003e-46da-8742-d0595e000b57 · inbound

Superior resilience to poisoning and amenability to unlearning in quantum machine learning cites this paper.

Superior resilience to poisoning and amenability to unlearning in quantum machine learning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 64

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unresolved
no resolver link, observed 2026-08-06T05:02:45.753783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:02:45.753783Z digest=sha256:7293fa337355582909730c0474d8c8e3530531dcefbffdaa5f56bb3a060ad70a

Observation a0ec3f1f-c00a-4141-bea8-7dfd077ce3e3 · inbound

Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:59.046471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:06:08.962042Z digest=sha256:3c1d3e08330920352d69bc8bf0e87b7da11a029eafb605dfb657d02890fa0c49

Observation 47c199c9-b379-4786-918b-f336d1b4a93d · inbound

Towards Reliable Testing of Machine Unlearning cites this paper.

Towards Reliable Testing of Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 23

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verified exact
arxiv_id, observed 2026-05-10T11:25:18.313289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T11:24:29.533446Z digest=sha256:708c41caba8088da8771da6ccb0cca6250685aaf2e164da4105376748fdb02ef

Observation e7b602cc-a05d-45e9-b53e-1e2a61da754d · 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 Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:08.534678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T18:36:21.189195Z digest=sha256:cc5ffbde9997eda3e0a374d6f5ce409663ed4ae95fc947daf32d1dafa28d1f61

Observation 4a99335e-ff20-4d78-a391-19e5ffb3c0a2 · 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 Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:35:28.971899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T07:30:02.278335Z digest=sha256:218eaf0df96e5ce3e8a949ce36c79ee6b46f1e10c8ab014e6fa21c488ef3d9a5

Observation 0b4e17ed-941f-4650-a9cc-70527b9c8554 · inbound

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

Exact Unlearning from Proxies Induces Closeness Guarantees on Approximate Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 71

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metadata mismatch
arxiv_id, observed 2026-05-12T07:16:29.645163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T03:33:03.867735Z digest=sha256:791848805c6a7d2ed6487da52e1e377d5554cbb7ef713c4c7237f410ee425f93

Observation 7c2866bd-ada0-4489-b514-6aabba126149 · inbound

RULER: Representation-Level Verification of Machine Unlearning cites this paper.

RULER: Representation-Level Verification of Machine Unlearning Towards Adversarial Evaluations for Inexact Machine Unlearning

Reference 4

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verified exact
arxiv_id, observed 2026-06-29T17:33:45.596286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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