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Paper Citation Record · LEDGER

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.06360.

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

pith.paper-citation-record.v1
2305.06360 v6

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 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:02.752561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:56:23.497213Z

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 eb9a4507-4de0-4ffb-af31-a4b214dba691 · 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 Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:56:23.499536Z

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=2026-05-16T17:56:23.281678Z digest=sha256:6871735cb0c23f797094a57b0aa4bc9dbb159d242984b3fff9d23362051eb03e

Observation 2720f78c-45d5-48a1-9ba4-c7413e8a1945 · inbound

Verifying Machine Unlearning with Explainable AI cites this paper.

Verifying Machine Unlearning with Explainable AI Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T16:37:21.588276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:37:21.588276Z digest=sha256:b5bff58b5405b6bf6c646fec3e455d0e3eb449ef78630bb941bedbaed3bdd77d

Observation b0764d43-9fbb-4435-8643-f3766da310ae · inbound

Moderating the Generalization of Score-based Generative Model cites this paper.

Moderating the Generalization of Score-based Generative Model Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T19:01:28.013965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:01:28.013965Z digest=sha256:1815433300c58f125f351291c2c27453b6390e6332f27cdd1b6ca3a82a05281b

Observation 346ce5cb-02ea-493e-a677-566ae7382196 · inbound

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning cites this paper.

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:48.018067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:48.018067Z digest=sha256:acbf7f3fe28b6d7ac314d0444d20f3d9543b1634aab4ed75f1f4c74437730463

Observation d3b20c0b-4364-4997-8470-c7fd5c11ace0 · inbound

How to Protect Models against Adversarial Unlearning? cites this paper.

How to Protect Models against Adversarial Unlearning? Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T17:26:34.482578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:26:34.482578Z digest=sha256:21b41c5c864191eb8d84bee2e156867c85522b28b9d54aba3eee546a078f3172

Observation da10a04e-33df-405e-843e-f407fc9a8cfa · inbound

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models cites this paper.

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T12:15:04.600890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:15:04.600890Z digest=sha256:06660222f0960ffee406b8dee395e8f4cee6de1c698c9e0040bcfc741b8bbe77

Observation 7ceb09d1-c438-4e57-a5b4-6796de74c85c · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 192

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:06:19.154871Z

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:a92ea82068bcdcdcd2e5d1f596d277014b0877b80e75ae4675ecdf731358f555

Observation 3dab48a7-776a-424e-a7da-e8552ac543c0 · inbound

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

MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

Reference 232

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:02.752561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:02.752561Z digest=sha256:d630d7bb6efa3ebebf31c33eea341fb5c26c2b576165712b4d15b86390b6ec1e