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Paper Citation Record · LEDGER

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.02062.

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

pith.paper-citation-record.v1
2404.02062 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:18:31.159439Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:13:01.616667Z

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 5d8c8e29-0786-4bf4-ac7f-29fe5df3171d · inbound

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

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:18:31.159439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T14:18:31.159439Z digest=sha256:b562c60aa6c2465d9d6cf2752fb03ee9da46cc93d71b685bb45dd02ab4627a35

Observation cdba72d5-d301-4526-b4a5-e474eb42899b · inbound

Unified Parameter-Efficient Unlearning for LLMs cites this paper.

Unified Parameter-Efficient Unlearning for LLMs Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T05:31:00.559557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:31:00.559557Z digest=sha256:21de3ed33b20a5cc9fd3ef27e22fc50d71eebb31aa71f2cbfb5a285b49f060be

Observation cdbd91e4-1fa2-4b6e-805d-3f0fca39d322 · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:24:09.947299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:24:09.947299Z digest=sha256:537cfeeda20cfe15dd3d1b734c131f5a1b5e056e6c723a93c436292dd41fadd6

Observation 792dbc3d-cf5f-483a-a822-eb62507fcf63 · inbound

Revisiting the Past: Data Unlearning with Model State History cites this paper.

Revisiting the Past: Data Unlearning with Model State History Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.620783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T08:12:19.391973Z digest=sha256:7985f0c6f1efd2f51a016de03b6d5ea7c9afed845e68ebaeba1cc9ac0733a784

Observation a1f063c7-db8e-44f3-897d-b712801acff2 · inbound

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

Representation-Guided Parameter-Efficient LLM Unlearning Digital Forgetting in Large Language Models: A Survey of Unlearning Methods

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:06:19.297216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:8c0ae6be3d7a53ceb5208dce14da5c61a26622b1d020505a385c49b5b9cd868e