Paper Citation Record · LEDGER

LUME: LLM Unlearning with Multitask Evaluations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.15097.

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

pith.paper-citation-record.v1
2502.15097 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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:35.075615Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:34:17.381388Z

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 11e1a793-6c1a-425b-a962-f257c446a40d · 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 LUME: LLM Unlearning with Multitask Evaluations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:35.075615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac7ca4e6-6aeb-474e-9f28-8c1134b9f87e · inbound

Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs cites this paper.

Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs LUME: LLM Unlearning with Multitask Evaluations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:31.029093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae07890-1773-42c1-8a46-f292f9afb30e · inbound

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

SoK: Machine Unlearning for Large Language Models LUME: LLM Unlearning with Multitask Evaluations

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:57.941093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d189b23-8856-46b7-88f3-a5cc8eee5655 · inbound

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss cites this paper.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss LUME: LLM Unlearning with Multitask Evaluations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:22:16.505947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dacfb12-1842-47aa-baaf-b6ff3b81fb5e · 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 LUME: LLM Unlearning with Multitask Evaluations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T23:39:08.183298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f028dcc5-5518-4891-8445-0c8d20696262 · inbound

RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning cites this paper.

RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning LUME: LLM Unlearning with Multitask Evaluations

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:34:17.383226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c041003f-2c40-466d-8882-082fdd437cb6 · inbound

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem cites this paper.

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem LUME: LLM Unlearning with Multitask Evaluations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T04:30:23.082717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.