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Paper Citation Record · LEDGER

Merging by Matching Models in Task Parameter Subspaces

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.04339.

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

pith.paper-citation-record.v1
2312.04339 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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:03:16.746943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:16:04.552795Z

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 5405d659-fab2-4564-a559-84899d84efa1 · 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 Merging by Matching Models in Task Parameter Subspaces

Reference 204

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.555370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:27af2823ab869371d922c2758765939ad917bd57adc71685917b0016db4b8efa

Observation d399499e-34dc-4109-9d73-28622bd6b344 · inbound

Harnessing Optimization Dynamics for Curvature-Informed Model Merging cites this paper.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Merging by Matching Models in Task Parameter Subspaces

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T17:03:16.746943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:03:16.746943Z digest=sha256:d247d43725c5d9c5ac349049c14445e54539cb589d5d9fa1db8698934500f430

Observation 3e67ab7d-e9a3-4324-ad88-9759cc133275 · inbound

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.

Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective Merging by Matching Models in Task Parameter Subspaces

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-01T16:24:20.830090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:24:20.830090Z digest=sha256:4a729d2cc9fee1feab348405497fc01bffdf94cca2137c2147c65b4c6663e4b2

Observation 32d96f41-490c-48f5-9cae-e869ceddfdcd · inbound

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs cites this paper.

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs Merging by Matching Models in Task Parameter Subspaces

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T06:05:51.230965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:05:51.230965Z digest=sha256:a102b8a1ffa61ff87f711fcf37b037b97fe9cacaabae15cf0d077fb07f98b669