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Paper Citation Record · LEDGER

The Frontier of Data Erasure: Machine Unlearning for Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.15779.

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

pith.paper-citation-record.v1
2403.15779 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:31:00.885017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:37:14.067219Z

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 a24ead87-95bb-4e8b-bfb5-eb5afcd067d2 · inbound

Unified Parameter-Efficient Unlearning for LLMs cites this paper.

Unified Parameter-Efficient Unlearning for LLMs The Frontier of Data Erasure: Machine Unlearning for Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-12T05:31:00.885017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:31:00.885017Z digest=sha256:16cb67e2e5dfcd1739daf543a2d7dda897bf8f9b6d4a60402dcc0842c0262467

Observation ed5cde33-97f5-4705-a9a8-c5ecf7eb28f5 · inbound

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating cites this paper.

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating The Frontier of Data Erasure: Machine Unlearning for Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-09T20:04:50.134373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:04:50.134373Z digest=sha256:7e155d6ebfa0ce602b2db420dc79a6bf80c2ce803411c755405649e325250eb8

Observation 62674cbd-d081-4dbe-a09c-6a3eb37f1cc3 · inbound

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs The Frontier of Data Erasure: Machine Unlearning for Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T00:29:37.309383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:29:37.309383Z digest=sha256:447b647358792901fe3976e40f65da815da8ba30e14a44ab506a391350d8ebdc

Observation f7977ee7-5658-407d-8c95-cebdfc7e6e57 · inbound

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification cites this paper.

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification The Frontier of Data Erasure: Machine Unlearning for Large Language Models

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:37:14.068673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T09:35:00.520860Z digest=sha256:25d00eca28865702f1ee4e7b0b46edb3e65ee760e87f86f212f3db80512eb106

Observation 9ddcd2d9-da61-4fd5-9034-6ade2e73339a · inbound

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

Revisiting the Past: Data Unlearning with Model State History The Frontier of Data Erasure: Machine Unlearning for Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.693219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T08:12:19.391973Z digest=sha256:43564640189b61fa5f7c14e60d4937498857829d7153e3ba3b543665f23d7661