Paper Citation Record · LEDGER

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.08607.

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

pith.paper-citation-record.v1
2406.08607 v1

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 2026-08-16T12:16:50.508668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:25:45.413350Z

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 7187d824-8036-463f-86dc-880087e368ff · inbound

Tool Unlearning for Tool-Augmented LLMs cites this paper.

Tool Unlearning for Tool-Augmented LLMs Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:01.249949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c66d339d-2884-458e-ac76-43e5ec22ac64 · inbound

A mean teacher algorithm for unlearning of language models cites this paper.

A mean teacher algorithm for unlearning of language models Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:50.508668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9044200-cb9f-4fe3-bee8-6f4195cfe4ec · inbound

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models cites this paper.

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:34:09.730997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab61ec58-ff85-439c-9251-29968fcf8662 · inbound

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning cites this paper.

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:52.118339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239c5f2b-a65e-4071-b595-32a44e304a32 · inbound

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

SoK: Machine Unlearning for Large Language Models Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:53.510288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8754f444-b417-4a46-85fc-5d45bb98d51b · inbound

SHRED: Retain-Set-Free Unlearning via Self-Distillation with Logit Demotion cites this paper.

SHRED: Retain-Set-Free Unlearning via Self-Distillation with Logit Demotion Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:25:45.415526Z

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.

Observation 9f1b4716-0afd-4cbe-9ed9-e8e7e91d0d1a · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.884717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10382f30-8b51-4862-aa6f-8543dbeb220e · inbound

Understanding Machine Unlearning Through the Lens of Mode Connectivity cites this paper.

Understanding Machine Unlearning Through the Lens of Mode Connectivity Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-31T23:27:27.090046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.