Paper Citation Record · LEDGER

Evaluating Machine Unlearning via Epistemic Uncertainty

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2208.10836.

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

pith.paper-citation-record.v1
2208.10836 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:18:31.125504Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:13:42.717762Z

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 b932f338-29b1-46cd-b1cf-8fef4e42ed82 · 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 Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 209

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:56:23.529038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b7a1fac-e3b4-4f65-b8b7-af45d6cdc983 · inbound

Machine Unlearning: A Comprehensive Survey cites this paper.

Machine Unlearning: A Comprehensive Survey Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:13:42.720296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13ff1def-de56-4c82-a290-bad278ab987c · inbound

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations cites this paper.

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:18:31.125504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af3d5be0-0cc7-4c76-a813-11173eab7a6a · inbound

Targeted Forgetting of Image Subgroups in CLIP Models cites this paper.

Targeted Forgetting of Image Subgroups in CLIP Models Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:15:29.557071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbb9168-1884-444a-acef-a8f54d492b16 · inbound

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

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:37:14.161389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2bb71b2b-31f1-4a20-a282-49ac62acc737 · inbound

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy cites this paper.

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:35.309152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e27fd56-4a96-4d59-930d-c1ac1ba4d62b · 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 Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:26.785208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf818cc-b5b1-4ab1-a6ed-2bd332ee3199 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Evaluating Machine Unlearning via Epistemic Uncertainty

Reference 120

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:06:19.304021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.