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Paper Citation Record · LEDGER

The Federated Tumor Segmentation (FeTS) Challenge

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.05874.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2105.05874 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:01:12.139836Z

measured 0 of 1 external citation measurements

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:29:58.051805Z digest=sha256:31aca00741fe73c50c47a501165b276be3040a130675ff151b4bb7990662e826

Observation 3d1cc6d0-afeb-46f0-b6e5-cf50e26dff51 · inbound

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially cites this paper.

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially The Federated Tumor Segmentation (FeTS) Challenge

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T17:01:12.139836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:01:12.139836Z digest=sha256:1c48c0d494c34b1308af44dcf1664abf5c920656ee6b5a29a8fcfd2e8fb8de1c

Observation 4e470f9a-01ae-42da-8fa4-446b3653d9c1 · inbound

Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation cites this paper.

Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation The Federated Tumor Segmentation (FeTS) Challenge

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-09T12:34:11.735483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:34:11.735483Z digest=sha256:69bd340fbb60ea931f63dc2a05e13fa80cca2c75cc0da20f37f3d7becf9acda4

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.

source=pdf_text observed=2026-08-07T23:36:53.773969Z digest=sha256:a4eea73be88dab034f19c087612b2d334d1bc3024bcdc97cc2456c28dee944cc

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.

source=pdf_text observed=2026-08-07T00:13:13.048023Z digest=sha256:9dfbfc6a595a96943ee39477b15f6a6ed2e0397b3b6da6aef03723893a2b594c

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.

source=pdf_text observed=2026-08-06T11:32:00.225890Z digest=sha256:fb4226da9192d4e9ec10a1f502677ffdfa94eb822b1f062febba9761762ec4af

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T13:49:37.830759Z digest=sha256:4c3e4cdce22aa66194f5790e36b473da391e36be9c819685c339f19dfa2dd0f9