Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.06360.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:48.018067Z
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 2026-08-07T06:34:17.273281+00:00.
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.
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.
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.
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 2026-08-07T06:34:17.273281+00:00.