Paper Citation Record · LEDGER

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.17509.

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

pith.paper-citation-record.v1
2410.17509 v2

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:57:22.801802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:51:35.500508Z

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 1aee6993-1ce1-4400-a885-220489536c0f · 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? WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:22.801802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9edc7df-58a0-4387-9c96-75a07e6a84bd · inbound

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models cites this paper.

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:56:31.561334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2153070-07ab-4e3c-ac8b-8c1828c582db · inbound

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory cites this paper.

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:35.504867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3fd6fca-17ea-4a86-915f-9f6ce9d2ac10 · inbound

One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models cites this paper.

One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:05.138513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.