Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.08607.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:44:01.249949Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T13:25:45.413350Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7187d824-8036-463f-86dc-880087e368ff · inbound
Tool Unlearning for Tool-Augmented LLMs Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Reference 31
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 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Reference 67
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 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9f1b4716-0afd-4cbe-9ed9-e8e7e91d0d1a · inbound
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
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 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.