Paper Citation Record · LEDGER

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.22086.

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

pith.paper-citation-record.v1
2410.22086 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:50.460021Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:06:23.502715Z

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 2c0264e7-727a-4c98-84e3-6ef488dcb208 · inbound

A mean teacher algorithm for unlearning of language models cites this paper.

A mean teacher algorithm for unlearning of language models Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:50.460021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e051496-4f74-47e7-b95d-80b90dcd5000 · inbound

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning cites this paper.

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:32.972167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a8f17d-f918-48f3-8596-d8cc038a5684 · inbound

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

SoK: Machine Unlearning for Large Language Models Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:48.482633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f2529c-d1eb-4529-8a7c-589116b905a9 · inbound

OFMU: Optimization-Driven Framework for Machine Unlearning cites this paper.

OFMU: Optimization-Driven Framework for Machine Unlearning Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:06:23.506306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3cfae992-8233-4610-bfbd-4beb9d159b33 · inbound

OFMU: Optimization-Driven Framework for Machine Unlearning cites this paper.

OFMU: Optimization-Driven Framework for Machine Unlearning Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:41.220056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbd3bd6-e3de-495f-92b0-cf8921f5a2e2 · 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 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:04.249213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba463ea-85de-4889-80c2-77b9307c5b78 · 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 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.787330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.