Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.09048.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:23:53.394920Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:01:09.254344Z
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 a4b622b5-bd90-4810-b996-66eb8767097b · inbound
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free cites this paper.
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:23:53.394920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 071edb2d-e8bc-4e7d-b603-008f854ff213 · inbound
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning cites this paper.
FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T20:06:14.196319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb5a17a2-fee1-4e3f-acb7-3ff5dd376667 · inbound
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection cites this paper.
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:01:09.259344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.