Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.09770.
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 2026-08-10T18:53:50.555351Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:16:04.569001Z
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 c8d356aa-c9a9-4f98-ae46-871f777505d4 · 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 Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
Reference 208
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:16:04.571332Z
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 cdfc4921-ea93-43d4-b64c-194bbf870a36 · inbound
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond cites this paper.
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
Reference 171
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:53:50.555351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4746a38-e2b1-4551-b492-77aabfd60526 · inbound
Harmonizing and Merging Source Models for CLIP-based Domain Generalization cites this paper.
Harmonizing and Merging Source Models for CLIP-based Domain Generalization Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:56:15.672978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.