Paper Citation Record · LEDGER

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2505.22522.

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

pith.paper-citation-record.v1
2505.22522 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:21.806879Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T01:40:12.513570Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T01:43:27.754803Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 413e039e-37b2-44ff-afb7-e8c9b1fa6d40 · outbound

This paper cites Pattern Recognition , 110424.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Pattern Recognition , 110424

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:24.632326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9daefe81-cf10-4358-911f-2db5f08da0ef · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:20.794197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67529c3a-721d-42ff-a59a-9156c96b20e1 · outbound

This paper cites an unresolved cited work.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:12:23.963910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18972740-b027-470e-b9f9-f671d596f900 · outbound

This paper cites FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:12:22.048714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 192e26b8-b31b-419e-a9d3-8c054949331b · outbound

This paper cites IEEE Transactions on Medical Imaging 42, 1969–1981.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation IEEE Transactions on Medical Imaging 42, 1969–1981

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:23.519236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc78d33b-a7ca-44d3-9243-73757c1e455f · outbound

This paper cites Medical image analysis 35, 489–502.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Medical image analysis 35, 489–502

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:23.337208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f6b8165-e27e-4894-a243-5875fa49ca77 · outbound

This paper cites an unresolved cited work.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:12:23.019631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9303503-273f-4f6b-86c0-8174df155266 · outbound

This paper cites Nature 634, 970–978.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Nature 634, 970–978

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.814724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ad3a488-954e-4534-aedb-d5631778901e · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems Early Access.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation IEEE Transactions on Neural Networks and Learning Systems Early Access

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.608346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 279667a4-fb7d-4abf-be8c-ba57748e0479 · outbound

This paper cites BMC public health 14, 1–9.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation BMC public health 14, 1–9

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:23.184819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5a3d7f1-f59d-4249-9f47-8faa603312d6 · outbound

This paper cites an unresolved cited work.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Unresolved cited work

Reference 2015

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:12:23.731903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 77cc0585-1e3b-4d0c-841e-cccc7bda1d73 · outbound

This paper cites 1501–1510.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation 1501–1510

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:24.374373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0b48152-76cb-406f-b2c3-bd1015edcbcb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:20.383699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9153239-ac32-42b8-aede-8d16a33282a3 · outbound

This paper cites 1087–1095.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation 1087–1095

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:24.162885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1567cb6-72b0-4ae8-a2b9-ac50694e1bc7 · outbound

This paper cites Yuan Zhang et al.:Preprint submitted to ElsevierPage 16 of 16 Medical Image Analysis (2025) Fig.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation Yuan Zhang et al.:Preprint submitted to ElsevierPage 16 of 16 Medical Image Analysis (2025) Fig

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:22.406390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e60b367f-ed50-4d8d-9411-488c3620c020 · outbound

This paper cites URL:https://cosas.grand-challenge.org/.

PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation URL:https://cosas.grand-challenge.org/

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:12:24.814732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 6a4ee604-6fa6-4349-aab8-9cbfde47935d · inbound

FedStain: Modeling Higher-Order Stain Statistics for Federated Domain Generalization in Computational Pathology cites this paper.

FedStain: Modeling Higher-Order Stain Statistics for Federated Domain Generalization in Computational Pathology PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:43:27.756997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.