Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.06671.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:56:29.986325Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T07:01:11.752794Z
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 d9a3416a-9131-4dbf-98ad-2b60279ea504 · inbound
Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters cites this paper.
Heterogeneous Federated Reinforcement Learning Using Wasserstein Barycenters Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:56:29.986325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 551a1d87-ca75-4e99-b823-f552c70bc379 · inbound
Robustness and Regularization in Hierarchical Re-Basin cites this paper.
Robustness and Regularization in Hierarchical Re-Basin Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:34:20.861641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f66785f6-5b0e-45cb-9e1c-0cd3d23d9024 · inbound
Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation cites this paper.
Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:01:11.756594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.