Paper Citation Record · LEDGER

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2406.10890.

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

pith.paper-citation-record.v1
2406.10890 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:59:38.793662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.796436Z

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 08ac2b93-4d2d-43a9-b897-1b2d75bd93af · inbound

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? cites this paper.

SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:22.814903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 984238e2-2900-4fbc-986d-f80573f50b35 · inbound

Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models cites this paper.

Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T16:14:25.010447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac514c39-7efb-4e84-8b08-c4c7027ab9fd · inbound

Tool Unlearning for Tool-Augmented LLMs cites this paper.

Tool Unlearning for Tool-Augmented LLMs RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T16:44:01.256316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5f7df0-f60d-496c-bbfd-171e6c38c44a · inbound

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness cites this paper.

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:59:38.793662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b24a09-19f4-4841-a360-f7e97fdef12c · inbound

Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation cites this paper.

Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:53:25.053205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4fc700-87ba-4de1-82cd-81b84410cc51 · inbound

Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing cites this paper.

Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:44.217593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28748ce8-d0b1-4bbf-8fdb-290c800cde06 · inbound

R-TOFU: Unlearning in Large Reasoning Models cites this paper.

R-TOFU: Unlearning in Large Reasoning Models RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:08.508353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49027b76-8cff-46ae-8ccd-55664d8e891d · inbound

Existing Large Language Model Unlearning Evaluations Are Inconclusive cites this paper.

Existing Large Language Model Unlearning Evaluations Are Inconclusive RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:54.452560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466abe6c-032d-449b-9502-6c610e096556 · inbound

LLM Unlearning Should Be Form-Independent cites this paper.

LLM Unlearning Should Be Form-Independent RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.030285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b07069-dcbb-4e68-a0a7-57aa66bb9538 · inbound

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

SoK: Machine Unlearning for Large Language Models RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:57.806488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56f72a9-7798-42c3-bc65-3fbfa7ee0543 · inbound

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models cites this paper.

Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:59.067718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352c0f47-50cc-4305-b6bb-29ecc78f6602 · inbound

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

Revisiting the Past: Data Unlearning with Model State History RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:13:01.698248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf7f6211-ac17-44a8-a2a4-8be6a0dcb4d7 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:33.624575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c278cd-5460-4480-a3e7-98ac5ede2096 · inbound

Towards Evaluation for Real-World LLM Unlearning cites this paper.

Towards Evaluation for Real-World LLM Unlearning RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:48:02.612369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da7337dd-f378-4e6e-9d48-137d0d916d7b · inbound

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations cites this paper.

Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:28:44.797839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.