Paper Citation Record · LEDGER

Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.07089.

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

pith.paper-citation-record.v1
2407.07089 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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:03:11.097678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:12:10.638301Z

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 664d1691-2a91-43c5-8dab-6676388a4ea0 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:16:04.737194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e5db7a3-dea7-46d5-aef7-5a1e41d1a48f · inbound

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging cites this paper.

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:03:11.097678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e861845f-27cf-443a-addd-d64be5b5b0ce · inbound

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation cites this paper.

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:12:10.642572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75ff8316-8028-4dc3-b38a-ede78f0a2170 · inbound

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning cites this paper.

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:52.958822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.