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Paper Citation Record · LEDGER

Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.02880.

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

pith.paper-citation-record.v1
2407.02880 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:30.033146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:16:04.884389Z

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 54cbf0cf-59b8-4f2e-a25e-62b4113d52fc · 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 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

Reference 286

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.886326Z

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.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:18bef951ffc72d681cabba0cd02f9d858cd545af109cf15dd4b91791d554c0f6

Observation 7911f2e3-d599-409b-8c63-b65d1ced2927 · inbound

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization cites this paper.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:35:30.033146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:35:30.033146Z digest=sha256:d8bc2e12d76447bf3c3879eae14836362bd54f302f93246af24b539adcb1fb6c