Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Federated Tumor Segmentation (FeTS) Challenge
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.05874.
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 2026-08-07T23:36:53.773969Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T21:29:58.072503Z
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 06c0bd4f-4d8f-465c-95e5-06126e83d93a · inbound
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification cites this paper.
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification The Federated Tumor Segmentation (FeTS) Challenge
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:29:58.074913Z
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 5cd1fb33-4c7b-4f05-a5e1-618227e13a2f · inbound
PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning cites this paper.
PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning The Federated Tumor Segmentation (FeTS) Challenge
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:36:53.773969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6781148d-f5b9-45d6-ad8d-883c18a77862 · inbound
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models cites this paper.
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models The Federated Tumor Segmentation (FeTS) Challenge
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:13:13.048023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 570fb158-a9a0-44b5-a6b2-40c8e6222b4b · inbound
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation cites this paper.
Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation The Federated Tumor Segmentation (FeTS) Challenge
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:32:00.225890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be3302b8-27bb-4a74-ba7b-424d959b0780 · inbound
Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study cites this paper.
Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study The Federated Tumor Segmentation (FeTS) Challenge
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:51:06.759788Z
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.