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Paper Citation Record · LEDGER

Towards Unbounded Machine Unlearning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:31.861788Z

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-16T11:07:39.215164Z digest=sha256:80cf25710ed8c23a1afd4d758e04b3b259e33c787ceaadc32b78b15925526bf6

Observation 9a73e739-16e3-41b2-b0fe-ea773c4c1740 · inbound

Multi-Objective Large Language Model Unlearning cites this paper.

Multi-Objective Large Language Model Unlearning Towards Unbounded Machine Unlearning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T23:27:37.737596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:27:37.737596Z digest=sha256:aacb5427a94b6bb49deb976e4a57ccbb4cdc1c975dde5cf31c76fcb6ab0c8d42

Observation 618c6c53-cb94-4c7a-ae56-b573dcc9aa40 · inbound

Fairness and Robustness in Machine Unlearning cites this paper.

Fairness and Robustness in Machine Unlearning Towards Unbounded Machine Unlearning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:31.861788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:07:31.861788Z digest=sha256:7a1b23c99cc49996a250115c3d8ff0db3127c7ce593a4420b73f21d7fee30a1a

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.

source=arxiv_source observed=2026-08-07T06:14:44.280997Z digest=sha256:8cdc801b5f5258db6dcbe1a64021d9af53e2dceb9ceff64cfbbf8da371d14557

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.

source=arxiv_source observed=2026-08-07T00:53:50.128823Z digest=sha256:5fb9d2b6e70ac4fff39f67617f426cebc84bf0afd65f24715a3055cb873699cf

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.

source=pdf_text observed=2026-08-07T00:30:35.135760Z digest=sha256:3827dbcdb6fede3e7c824e285f7b7ffa3021f4af8be9a9755de39e1fb17733db

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.

source=pdf_text observed=2026-08-06T15:43:55.803673Z digest=sha256:5202daf6343bbe82774f3f0af8cd4221fb65e0cff32f8dc819eea87f1347e09a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:37:24.974659Z digest=sha256:6451c0e41340277f585d61bd546b73fa77b050e8492a927f1dbeead852822d49

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.

source=pdf_text observed=2026-08-01T14:11:43.503645Z digest=sha256:f880043a874689a922df005cc51fcc003812aa1a1b4a22ed06a76bfa5d8b9381

Observation 25af2b6c-c4ae-485c-966c-8214c1e1a504 · inbound

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning cites this paper.

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning Towards Unbounded Machine Unlearning

Reference 184

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:02.570575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:02.570575Z digest=sha256:2981d8ebb01d96524632ee8c039f195d59147ebde94fe8505787f13378f4cd6c