Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.03641.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:49.305405Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:16:04.938641Z
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 b5411824-b695-4e99-a2ab-b26f99993eec · 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 Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy
Reference 124
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:16:04.940982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3d1431ea-9386-482a-9145-e3729770bf4d · inbound
How to Merge Your Multimodal Models Over Time? cites this paper.
How to Merge Your Multimodal Models Over Time? Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:24:43.197297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce33e99e-f12c-47b3-8911-6b8c0012f999 · inbound
RanDeS: Randomized Delta Superposition for Multi-Model Compression cites this paper.
RanDeS: Randomized Delta Superposition for Multi-Model Compression Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:02:49.305405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.