Paper Citation Record · LEDGER

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.05374.

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

pith.paper-citation-record.v1
2502.05374 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:54:39.597195Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:07:21.193836Z

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 96f2d857-7d42-450c-9f52-a4256fff3063 · inbound

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction cites this paper.

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:39.597195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0028ab0-70e5-42c8-aa8d-6fab9f174cdd · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:46:17.126942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation baec5ee2-7527-47d8-86f8-be60b8bc359f · inbound

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding cites this paper.

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:05.091763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4672d14-3c18-4119-9aed-c9a3155faf7e · inbound

A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning cites this paper.

A Mechanistic Perspective and Circuit-Guided Difficulty Metric for Unlearning Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T10:37:00.505705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d51c13-3af9-4581-903d-91401588614b · inbound

CURE:Circuit-Aware Unlearning for LLM-based Recommendation cites this paper.

CURE:Circuit-Aware Unlearning for LLM-based Recommendation Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:48:02.702494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0542f4da-eb24-4f04-a9a3-409c50cd9583 · inbound

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity cites this paper.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T12:04:13.336341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a74234-2753-4ed1-9408-5aae69c5b456 · inbound

Efficient Unlearning through Maximizing Relearning Convergence Delay cites this paper.

Efficient Unlearning through Maximizing Relearning Convergence Delay Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:56.577842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ed1d545-3f53-4970-9a98-ec7d678047db · inbound

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries cites this paper.

One Step to the Side: Why Defenses Against Malicious Finetuning Fail Under Adaptive Adversaries Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.058445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1c62547-500c-4c05-9b81-11151dd56fb8 · inbound

BARRIER: Bounded Activation Regions for Robust Information Erasure cites this paper.

BARRIER: Bounded Activation Regions for Robust Information Erasure Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:18:54.702131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 011b2cb6-9d87-4316-aa80-dd30117b79c0 · inbound

Measuring the Depth of LLM Unlearning via Activation Patching cites this paper.

Measuring the Depth of LLM Unlearning via Activation Patching Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:34:40.189857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46a2a673-a505-484a-acce-7abcbd568720 · inbound

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation cites this paper.

TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:07:21.195871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e592eb6e-c3db-40f5-ab67-07e50cd110fd · 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 Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.920395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4302c2c-2f46-42f0-bf67-10cf3bde04e7 · inbound

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

Understanding Machine Unlearning Through the Lens of Mode Connectivity Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T23:27:26.144256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbfe937-109d-4674-be52-26d3e5097bbd · inbound

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration cites this paper.

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T00:35:49.649177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.