Paper Citation Record · LEDGER

Towards Unbounded Machine Unlearning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.09880.

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

pith.paper-citation-record.v1
2302.09880 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:14:44.280997Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T11:07:39.276906Z

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 262b02f3-9cc0-438a-ae40-513f03a18a0a · inbound

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

TOFU: A Task of Fictitious Unlearning for LLMs Towards Unbounded Machine Unlearning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:07:39.279381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ec23b30-fc55-4941-af2d-cf9d659c74c1 · inbound

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

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster Towards Unbounded Machine Unlearning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T06:14:44.280997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be89b94-6fd7-4ef5-a3d7-b40e2f1af942 · inbound

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

The Space Complexity of Learning-Unlearning Algorithms Towards Unbounded Machine Unlearning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:50.128823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation becacbd2-3666-47e4-8e07-1ae40a455b79 · inbound

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble cites this paper.

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble Towards Unbounded Machine Unlearning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:30:35.135760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 797d0a27-f12d-4ee3-a08c-2559a4ef2789 · inbound

Machine Unlearning for Streaming Forgetting cites this paper.

Machine Unlearning for Streaming Forgetting Towards Unbounded Machine Unlearning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:55.803673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84cd682e-5edf-42d4-ab0f-751ce55cc7a5 · inbound

Efficient Unlearning through Maximizing Relearning Convergence Delay cites this paper.

Efficient Unlearning through Maximizing Relearning Convergence Delay Towards Unbounded Machine Unlearning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.612640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee689732-e088-4efb-beed-fdae4b194b76 · 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 Towards Unbounded Machine Unlearning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:43.503645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.