Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:49.488893Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 3afa6197-83cb-426f-b11c-9082de27da4b · inbound
Provable unlearning in topic modeling and downstream tasks Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54cf8356-e70c-476f-99a7-1c3da55c11e4 · inbound
Improved Localized Machine Unlearning Through the Lens of Memorization Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10b4e1f8-294d-41a3-9d4f-855878e40833 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a456561-9e8f-4b22-be48-b0ed851b1590 · inbound
Open Problems in Machine Unlearning for AI Safety Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 43
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51734bf1-74c9-4d4a-a829-ef0e1b27a97a · inbound
Privacy-Aware Lifelong Learning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09296905-7f77-473c-afd8-ed639170dc26 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a0d760c-6bb4-4caa-a031-24d1afbfcd25 · inbound
Leveraging Per-Instance Privacy for Machine Unlearning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1ed3a60-a893-4ac0-a82c-a8a37837d875 · inbound
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c69d530-14a6-447e-abf7-5c5bcaba969e · inbound
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 48
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.
Observation d8c176b3-fc97-43f9-bc42-912bc6db502c · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e857a40b-0dde-4bd4-84b9-806574db8f47 · inbound
Is your algorithm unlearning or untraining? Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 13
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.
Observation 034448fe-aec8-4bad-931e-e10e9affba8c · inbound
Representation-Guided Parameter-Efficient LLM Unlearning Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Reference 160
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.
Observation 2c380a94-11a3-4fd3-9692-b2c656a9db2a · inbound
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
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.
Observation d53c8906-d34c-486a-bdf3-3b0d36b57efb · inbound
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
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.
Observation db3e31f5-8cf9-4fcc-8d95-1febb5eb4a0d · inbound
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
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.
Observation ff2c1f8e-febd-4eaa-9d22-1162a397a426 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.