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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:08.508353Z

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 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.

source=arxiv_source observed=2026-08-07T15:26:08.508353Z digest=sha256:b300e76e3125d0dd8dcb3a49534d35d8762326893754614aa9d9947eaf8ce0b6

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.

source=pdf_text observed=2026-08-07T12:05:54.452560Z digest=sha256:cadf67b48ce3c6c6dbaf73071bd1b40ae8f340587eb56eca5f1a222df63ec941

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.

source=pdf_text observed=2026-08-07T05:33:34.030285Z digest=sha256:ac1e1340030d0f1ddab7c12e70528218dcd3b2e5fe7278e071d28ee62f65abae

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.

source=pdf_text observed=2026-08-07T04:58:57.806488Z digest=sha256:b078961f230d7406d05056f6d6064ee24c918e910879fcf3879bb2d8d76ad1f8

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.

source=pdf_text observed=2026-08-07T04:16:59.067718Z digest=sha256:7077d1a7f6271fffe015aaca42cd086447154b44c572df41b88bda34d0e192a5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:12:19.391973Z digest=sha256:75383b3fccc7f973dbfd21f68df15c0419a006b78ca253eab35a0e8310629cf8

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.

source=pdf_text observed=2026-08-06T17:21:33.624575Z digest=sha256:a7dd716bf0b59b4e2fabc59041db2c55c9a6cb0b691f0667796e7b5be82ff74a

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.

source=pdf_text observed=2026-08-06T05:48:02.612369Z digest=sha256:f9b0a589efb540e2967e83ab071f6b3a28ac2d59df1b4cca1568f69409ee6bd6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T04:02:58.743426Z digest=sha256:59d4139ec8babae38af59fe7447d876896b717d80b94e9cef8ab8943bb9edab7