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Paper Citation Record · LEDGER

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.10682.

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

pith.paper-citation-record.v1
2408.10682 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:44.288758Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:27:50.566162Z

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 2aee4deb-32c1-45e4-8e30-b774859904e4 · inbound

Open Problems in Machine Unlearning for AI Safety cites this paper.

Open Problems in Machine Unlearning for AI Safety Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models

Reference 153

Resolution
unresolved
no resolver link, observed 2026-08-10T21:24:10.806055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:24:10.806055Z digest=sha256:18e26f1abd593db020bf46f35df372d99d7b4a8da9d17337ca7754590c0ea4e3

Observation ba430034-643b-4d79-9e2d-fb3c4415ab78 · 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 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:44.288758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:44.288758Z digest=sha256:592e3ea8290f8340f05e97e65e5e4a42b0868e8940c6b920488225851e242afc

Observation e9b446f5-9593-4ab4-8bb8-172c1d9c5ae5 · inbound

Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods cites this paper.

Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:08.295456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:37:08.295456Z digest=sha256:3243f2807a5d70408d8309d13bd13546b40594ae9124f9f7456ccd1f26673306

Observation 1c0f021b-3948-469e-a28f-dc5f8d98e37a · inbound

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking cites this paper.

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:27:50.588982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-11T00:23:30.377235Z digest=sha256:6a4b43bd20d94019535c00fb006341ae71b50ba4859b1ee51aa4698bd9eb4e87