Paper Citation Record · LEDGER

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation

As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.22580.

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

pith.paper-citation-record.v1
2506.22580 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:08:38.678403Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy7
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51d31c1c-2c2c-4ccd-8c89-494efe0c45d7 · outbound

This paper cites In: 9th International Con- ference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7,.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: 9th International Con- ference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:42.087180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e56b19f1-e3d4-4814-8328-715588bc2972 · outbound

This paper cites Image Analysis and Stereology39(3), 161–167 (2020).

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Image Analysis and Stereology39(3), 161–167 (2020)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:41.487814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d9009dd-d785-452e-ba19-1a1b330c15d9 · outbound

This paper cites In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: International Conference on Med- ical Image Computing and Computer-Assisted Intervention

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:41.208915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f8e7d08f-62fa-43cc-81a5-8787b38573f5 · outbound

This paper cites In: The Twelfth International Conference on Learn- ing Representations (2024), https://openreview.net/forum?id=TdhkAcXkRi.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: The Twelfth International Conference on Learn- ing Representations (2024), https://openreview.net/forum?id=TdhkAcXkRi

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:41.026448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e9aa1e29-fbe9-4c3d-9429-1f2d27cd34d3 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:36.308279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b810da0b-751d-436d-b143-73d1161da99d · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:40.858707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6c49b052-2fc1-4bbf-b0b6-874fbb965fb0 · outbound

This paper cites Advances and Open Problems in Federated Learning.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Advances and Open Problems in Federated Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:36.547882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4de581e-d3fc-4b10-847f-950026a9f02f · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation On the Convergence of FedAvg on Non-IID Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:36.668044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 958acb3b-efbb-446c-bbf8-55f86eece975 · outbound

This paper cites FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:08:39.662463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ceaf2a0a-3cd9-4343-b7bc-31f5d017c07a · outbound

This paper cites IEEE Transactions on Medical Imaging 39(9), 2713–2724 (Sep 2020).

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation IEEE Transactions on Medical Imaging 39(9), 2713–2724 (Sep 2020)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:36.947211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5202d22-ca84-442a-ad35-4277602d8f16 · outbound

This paper cites FedCostWAvg: A new averaging for better Federated Learning.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation FedCostWAvg: A new averaging for better Federated Learning

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:08:39.224382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 48ce3d31-1fb4-4bf4-9d35-de193b721446 · outbound

This paper cites In: Artificial intelligence and statistics.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: Artificial intelligence and statistics

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:37.179104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab939dce-1c3a-4847-b91c-58c0547c794b · outbound

This paper cites Medical image analysis59, 101570 (2020).

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Medical image analysis59, 101570 (2020)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:37.292941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b36cea5-752e-4a2b-8c67-d43845b66c90 · outbound

This paper cites Generalized Federated Learning via Sharpness Aware Minimization.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Generalized Federated Learning via Sharpness Aware Minimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:37.399374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d851788-4d3c-48c1-9fa8-b53177195ae5 · outbound

This paper cites Adaptive Federated Optimization.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Adaptive Federated Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:37.540722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61531c8b-ec81-4418-bcb1-8c47d7c72ce4 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:37.693441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5818b379-b891-4631-8e1a-da09f8f83197 · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Federated Optimization in Heterogeneous Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:37.841336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9aa126-1030-40de-ae9e-44ac1717a937 · outbound

This paper cites Scientific Reports 10(1), 12598 (Jul 2020).

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Scientific Reports 10(1), 12598 (Jul 2020)

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T22:08:40.685630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 34d5ce2e-a87a-40f4-b684-3582ed0b3d87 · outbound

This paper cites an unresolved cited work.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:08:40.384721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 04b8ffaf-50ea-47e4-912d-7452dc8a95c6 · outbound

This paper cites JSM Biomed Imaging Data Pap2 (01 2015).

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation JSM Biomed Imaging Data Pap2 (01 2015)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:40.108500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25f1dd7d-93a7-4745-828b-083240b61929 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:08:38.390258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 029a6141-0344-4474-a514-7fbce967685a · outbound

This paper cites Inverse Distance Aggregation for Federated Learning with Non-IID Data.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Inverse Distance Aggregation for Federated Learning with Non-IID Data

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:08:38.960727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c98c181-8e60-4f77-bb3f-75ea2d8146a0 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations, ICLR 2023, Ki- gali, Rwanda, May 1-5, 2023.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation In: The Eleventh International Conference on Learning Representations, ICLR 2023, Ki- gali, Rwanda, May 1-5, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:08:39.922794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9089e9c5-22e2-4ee2-bbda-f02a961c5a00 · outbound

This paper cites an unresolved cited work.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:08:41.769888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.