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Paper Citation Record · LEDGER

Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.11441.

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

pith.paper-citation-record.v1
2502.11441 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:57.164032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:25:44.943416Z

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 17caca51-13ab-4dab-b574-733b93dde7d0 · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:57.164032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:57.164032Z digest=sha256:382760ca018103b2f621b7db2f66d448309f88486ac9bdf509ff0d28634c8977

Observation 6f43e3d8-2be9-4d25-a8ad-4fe0bf5dc0b8 · inbound

Position: The Term "Machine Unlearning" Is Overused in LLMs cites this paper.

Position: The Term "Machine Unlearning" Is Overused in LLMs Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:25:44.945359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T23:21:28.103297Z digest=sha256:c5544d0ad41e5500fb129c1cd80d3f6764f37ac1024e22585ffe9bb42d16bfb3