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Paper Citation Record · LEDGER

Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.01218.

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

pith.paper-citation-record.v1
2403.01218 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:49.488893Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3afa6197-83cb-426f-b11c-9082de27da4b · inbound

Provable unlearning in topic modeling and downstream tasks cites this paper.

Provable unlearning in topic modeling and downstream tasks Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T17:31:06.698339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:31:06.698339Z digest=sha256:ae97e411b283747fa3baf71b18d500a89add915ea7a8edb12f3297062a1144ac

Observation 54cf8356-e70c-476f-99a7-1c3da55c11e4 · inbound

Improved Localized Machine Unlearning Through the Lens of Memorization cites this paper.

Improved Localized Machine Unlearning Through the Lens of Memorization Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T23:31:33.299914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:31:33.299914Z digest=sha256:9068e604645162cef307496b578967830963089692c27ee0e47f22ef1f1ef251

Observation 10b4e1f8-294d-41a3-9d4f-855878e40833 · inbound

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning cites this paper.

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:46.300764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:46.300764Z digest=sha256:fb2bf01ffcc0d9e77759cbaeae17cb28b34a7618e6a467bec56a6f63234c1930

Observation 4a456561-9e8f-4b22-be48-b0ed851b1590 · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T21:24:10.136812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:24:10.136812Z digest=sha256:726adbbf1b77f93fccf9b0286389a72d6537869c7e3e4582f04e6b7cb67423f9

Observation 51734bf1-74c9-4d4a-a829-ef0e1b27a97a · inbound

Privacy-Aware Lifelong Learning cites this paper.

Privacy-Aware Lifelong Learning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:49.488893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:49.488893Z digest=sha256:4e1465fd4fc341b758e47ef388e493d403b9adae0b937d3cb4b4c1016d939938

Observation 09296905-7f77-473c-afd8-ed639170dc26 · inbound

PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs cites this paper.

PANORAMA: A synthetic PII-laced dataset for studying sensitive data memorization in LLMs Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:27.735672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:27.735672Z digest=sha256:1620caa6fef2b8e9aa2a6c8bb64c78e41bc5955b2f66862ec0a0d99b8ad02cb1

Observation 6a0d760c-6bb4-4caa-a031-24d1afbfcd25 · inbound

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

Leveraging Per-Instance Privacy for Machine Unlearning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:49.140311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:49.140311Z digest=sha256:dae8d41d534d6283ea06e6ff56674c26443c07639737bde1e80ca8a28efd4eff

Observation e1ed3a60-a893-4ac0-a82c-a8a37837d875 · inbound

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

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T06:14:43.918350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:14:43.918350Z digest=sha256:944c6d2d86518cc09fbd645794f8bf30099f00d4941a7ee9042008961b734ab4

Observation 0c69d530-14a6-447e-abf7-5c5bcaba969e · inbound

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

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:37:14.137667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T09:35:00.520860Z digest=sha256:a6f1ccf9beaa9ac4869b77d44b571578508148c85281ebedca828638ef0812bf

Observation d8c176b3-fc97-43f9-bc42-912bc6db502c · 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 Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T22:45:49.309697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:45:49.309697Z digest=sha256:3ad196881f0b77a3dfbc9ac8d644fa42fcfd7f5b4ace71529358bae9e29927ae

Observation e857a40b-0dde-4bd4-84b9-806574db8f47 · inbound

Is your algorithm unlearning or untraining? cites this paper.

Is your algorithm unlearning or untraining? Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:30:59.245653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T18:06:08.962042Z digest=sha256:f846ada0d2e105a2afbee551afe0cbfc3f10c51ae0a23d687fbecca588eaab28

Observation 034448fe-aec8-4bad-931e-e10e9affba8c · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 160

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.231008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:4b57bd0beef9762742fd61200326c0fb6181fc8104c5adf115ffe3a1a766a473

Observation 2c380a94-11a3-4fd3-9692-b2c656a9db2a · 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 Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:08.562236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T18:36:21.189195Z digest=sha256:aa010dc6f49c63386f4741548599f1b269e00fde86c20b209edfb5cfbce654c3

Observation d53c8906-d34c-486a-bdf3-3b0d36b57efb · 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 Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:35:28.963850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T07:30:02.278335Z digest=sha256:29b6f1241f7e8ed011b649ed4d4fb4c6322ec69cad0f92f6990e3c24602828cf

Observation db3e31f5-8cf9-4fcc-8d95-1febb5eb4a0d · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:21.773060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T05:56:38.042978Z digest=sha256:f8b2ec3359b823306f9978a7cf62210c636faeb0491f027437bc016ff54ddc13

Observation ff2c1f8e-febd-4eaa-9d22-1162a397a426 · inbound

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

Gradient Concentration, Not Weight Saliency, Explains Representation-Level Class Unlearning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T07:47:11.473093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:47:11.473093Z digest=sha256:82725a41987ee66dd518da395d8be75e019e196762ba29de375bec21d00a8dcb