Paper Citation Record · LEDGER

Equitable Federated Learning with NCA

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.21735.

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

pith.paper-citation-record.v1
2506.21735 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:25:10.135324Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

28 of 28 outbound references displayed

verified exact2
verified fuzzy22
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d0cb0f3-12d5-4d39-8dcf-0b10209fc0db · outbound

This paper cites Federated learning for medical image analysis: A survey.Pattern Recognition, page 110424, 2024.

Equitable Federated Learning with NCA Federated learning for medical image analysis: A survey.Pattern Recognition, page 110424, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:14.667102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72a839b7-25e8-40db-b6c3-b8f6f8975d53 · outbound

This paper cites Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey.Electronics, 12(12):2703, 2023.

Equitable Federated Learning with NCA Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey.Electronics, 12(12):2703, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:14.491848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 610d994c-cb1b-4b57-a41a-60ed36906bd7 · outbound

This paper cites Federated learning for smart healthcare: A survey.ACM Computing Surveys (Csur), 55(3):1–37, 2022.

Equitable Federated Learning with NCA Federated learning for smart healthcare: A survey.ACM Computing Surveys (Csur), 55(3):1–37, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:14.317985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 196b248b-d5c3-4da7-9fd2-c3cdd8602140 · outbound

This paper cites Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review.npj Digital Medicine, 5(1):162, 2022.

Equitable Federated Learning with NCA Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review.npj Digital Medicine, 5(1):162, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:14.102098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5dba71de-a948-419a-9400-e8d7582d26b0 · outbound

This paper cites PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis.

Equitable Federated Learning with NCA PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical Image Analysis

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:25:10.558860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 522c2e15-2bfe-405b-983e-61aef00c7e86 · outbound

This paper cites Intrinisic Gradient Compression for Federated Learning.

Equitable Federated Learning with NCA Intrinisic Gradient Compression for Federated Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:25:10.384996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc0f915e-3a42-44f4-a136-fff3e5657ac6 · outbound

This paper cites FedFMS: Exploring Federated Foun- dation Models for Medical Image Segmentation.

Equitable Federated Learning with NCA FedFMS: Exploring Federated Foun- dation Models for Medical Image Segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:13.827200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f1fc5d6-eb9c-4047-b58f-f9ce48486a1a · outbound

This paper cites FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks.

Equitable Federated Learning with NCA FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:25:08.103184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a067ed-d314-431e-9e99-b58f6ea3725c · outbound

This paper cites No one left behind: Inclusive federated learning over heterogeneous devices.

Equitable Federated Learning with NCA No one left behind: Inclusive federated learning over heterogeneous devices

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:13.635307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61ad14fe-0fec-4382-a52a-ee322730ca16 · outbound

This paper cites Med-nca: Robust and lightweight segmentation with neural cellular automata.

Equitable Federated Learning with NCA Med-nca: Robust and lightweight segmentation with neural cellular automata

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:13.453650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e7ab077-372a-4321-8fe3-cd39059e5b92 · outbound

This paper cites Unsupervised training ofneuralcellularautomataonedgedevices.

Equitable Federated Learning with NCA Unsupervised training ofneuralcellularautomataonedgedevices

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:13.290933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 782718dd-2605-4d8b-9d91-a131e538dc59 · outbound

This paper cites The evolution of mobile phone surveys in low- and middle-income countries: A study of coverage structure.International Journal of Public Opinion Research, 35(4):edad031, 10 2023.

Equitable Federated Learning with NCA The evolution of mobile phone surveys in low- and middle-income countries: A study of coverage structure.International Journal of Public Opinion Research, 35(4):edad031, 10 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:13.130336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 20869c3a-259d-4f93-9705-11d598251699 · outbound

This paper cites Building trusted federated learning: Key technologies and challenges.Journal of Sensor and Actuator Net- works, 12(1), 2023.

Equitable Federated Learning with NCA Building trusted federated learning: Key technologies and challenges.Journal of Sensor and Actuator Net- works, 12(1), 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:12.903236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f42c01f9-c29b-41a4-afcc-793e0ed37e29 · outbound

This paper cites Preservingprivacyandsecurityinfederatedlearning.

Equitable Federated Learning with NCA Preservingprivacyandsecurityinfederatedlearning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:12.739691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1648512-bf12-48d8-92cc-d357b128063b · outbound

This paper cites FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.

Equitable Federated Learning with NCA FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T22:25:08.825599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fc51e2a-e376-4cfb-b950-1c0aaa618a20 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Equitable Federated Learning with NCA TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:25:08.954904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13661709-29ff-4d29-b2ca-80c4b97d3b2e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Equitable Federated Learning with NCA U-net: Convolutional networks for biomedical image segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:12.544512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 156585da-1c6d-4fdf-b6dc-b3e8ce04cb78 · outbound

This paper cites Growing neural cellular automata.Distill, 5(2):e23, 2020.

Equitable Federated Learning with NCA Growing neural cellular automata.Distill, 5(2):e23, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:12.376786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ab79ac7-99fa-4cdd-8222-cbb938ac8858 · outbound

This paper cites Topology-aware federated learning in edge computing: A comprehensive survey.

Equitable Federated Learning with NCA Topology-aware federated learning in edge computing: A comprehensive survey

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:12.203862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56c1fec5-d328-4677-9033-35e3cb741b1b · outbound

This paper cites Communication- efficient federated learning over capacity-limited wireless networks.IEEE Trans- actions on Cognitive Communications and Networking, 2024.

Equitable Federated Learning with NCA Communication- efficient federated learning over capacity-limited wireless networks.IEEE Trans- actions on Cognitive Communications and Networking, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:11.979981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 234ccaff-7316-435c-bdb9-4c5f963b8c6e · outbound

This paper cites Federated dropout—a simple approach for enabling federated learning on resource constrained devices.IEEE wireless communications letters, 11(5):923–927, 2022.

Equitable Federated Learning with NCA Federated dropout—a simple approach for enabling federated learning on resource constrained devices.IEEE wireless communications letters, 11(5):923–927, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:11.787496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1975ad37-446a-4c23-a2d4-c22409bc93c8 · outbound

This paper cites Fedsz: Leveraging error-bounded lossy compression for federated learning communications.

Equitable Federated Learning with NCA Fedsz: Leveraging error-bounded lossy compression for federated learning communications

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:11.541021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08846902-2b6d-4464-ae47-e23bb20b3b46 · outbound

This paper cites In- verting gradients-how easy is it to break privacy in federated learning?Advances in neural information processing systems, 33:16937–16947, 2020.

Equitable Federated Learning with NCA In- verting gradients-how easy is it to break privacy in federated learning?Advances in neural information processing systems, 33:16937–16947, 2020

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:11.443394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b1b1010-fc05-42da-be60-6ce9138c4e1a · outbound

This paper cites Source inference attacks in federated learning.

Equitable Federated Learning with NCA Source inference attacks in federated learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:11.293526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 260556a1-2109-4269-a9b5-b4d52a91d1db · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers.

Equitable Federated Learning with NCA Homomorphic encryption for arithmetic of approximate numbers

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:11.101431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1670363c-a475-48f9-97f4-650527200cea · outbound

This paper cites Fetal ab- dominal structures segmentation dataset using ultrasonic images.Mendeley Data, 2023.

Equitable Federated Learning with NCA Fetal ab- dominal structures segmentation dataset using ultrasonic images.Mendeley Data, 2023

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:10.930328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 87181e22-024c-4a8c-900d-04b1a6364657 · outbound

This paper cites Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016.

Equitable Federated Learning with NCA Mimic-iii, a freely accessible critical care database.Scientific data, 3(1):1–9, 2016

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:25:10.039307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d3b40c-eb1c-4913-a362-9ab4664ba23e · outbound

This paper cites Adaptive gradient sparsification for efficient federated learning: An online learning approach.

Equitable Federated Learning with NCA Adaptive gradient sparsification for efficient federated learning: An online learning approach

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:25:10.714056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.