Paper Citation Record · LEDGER

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.20641.

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

pith.paper-citation-record.v1
2607.20641 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:51:16.321625Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f69a5cb-cac3-4bef-9c7a-5ebdfa592f19 · outbound

This paper cites Health insurance portability and accountability act,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Health insurance portability and accountability act,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.339060Z

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Unavailable: canonical work link unavailable.

Observation 4a62fda9-6673-4119-85a5-46d1a4b1d223 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Communication-efficient learning of deep networks from decentralized data,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.420144Z

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Observation 50ada90c-1478-4894-9b52-a44573dc53c4 · outbound

This paper cites Feder- ated reprogramming knowledge distillation for medical image classification,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Feder- ated reprogramming knowledge distillation for medical image classification,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.483911Z

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Observation cc012014-5fc3-4fb4-8486-f8c18f0138fa · outbound

This paper cites Probing the efficacy of federated parameter-efficient fine-tuning of vision transformers for medical image classifica- tion,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Probing the efficacy of federated parameter-efficient fine-tuning of vision transformers for medical image classifica- tion,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.548772Z

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Observation f52b26e2-c0aa-4419-b9cc-132f2547f6f6 · outbound

This paper cites Fedmlp: Federated multi-label medical image classification under task heterogeneity,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Fedmlp: Federated multi-label medical image classification under task heterogeneity,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.641071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84949ba-dd50-4902-ae24-633a2587bafd · outbound

This paper cites Rscfed: Random sampling consensus federated semi-supervised learning,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Rscfed: Random sampling consensus federated semi-supervised learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.813648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb9049f-5a9e-484e-ae14-b8560a68f9bf · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and con- fidence,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Fixmatch: Simplifying semi-supervised learning with consistency and con- fidence,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:13.971082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e0f178-6ef2-4a08-b3ba-6025e4c749ef · outbound

This paper cites Federated semi- supervised medical image classification via inter-client relation matching,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Federated semi- supervised medical image classification via inter-client relation matching,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:14.134259Z

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Observation dee20cb0-cdfa-4cad-b901-97d8be61cab8 · outbound

This paper cites FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:14.366311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c8a7bf9-28ea-4914-8b4c-ba2c45992c30 · outbound

This paper cites Towards federated learning against noisy labels via local self-regularization,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Towards federated learning against noisy labels via local self-regularization,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:14.501032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd877c58-e651-48ec-b269-1706d2e38073 · outbound

This paper cites Learning from the kernel and the range space,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Learning from the kernel and the range space,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:14.634375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58679f24-167f-4688-808d-19085ef5fa56 · outbound

This paper cites Blockwise recursive moore– penrose inverse for network learning,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Blockwise recursive moore– penrose inverse for network learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:14.789144Z

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Observation b8d87433-7d12-4fbf-a169-9d3758842b2a · outbound

This paper cites Acil: Analytic class-incremental learning with absolute memo- rization and privacy protection,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Acil: Analytic class-incremental learning with absolute memo- rization and privacy protection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:14.873800Z

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Observation 5b4c55d6-f5cb-4bf9-822c-8006511d00fd · outbound

This paper cites Afl: A single-round analytic approach for federated learning with pre-trained models,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Afl: A single-round analytic approach for federated learning with pre-trained models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.005140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e45c31a-0ffc-4403-ad51-933317d0e259 · outbound

This paper cites Embedded federated feature selection with dynamic sparse training: balancing accuracy-cost tradeoffs,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Embedded federated feature selection with dynamic sparse training: balancing accuracy-cost tradeoffs,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.155798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06e82cb-4f76-45a4-a9b1-dc9b2b19d535 · outbound

This paper cites Federated optimization in heterogeneous networks,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Federated optimization in heterogeneous networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.266746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3c6d36-5496-4463-a6f4-db3094751427 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated op- timization,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Tackling the objective inconsistency problem in heterogeneous federated op- timization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.419488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f3892d-0ad5-44ff-b98b-5c84160d6ebd · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Federated Learning Based on Dynamic Regularization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.534889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57647a4-568e-492b-988f-70ac781d0bc3 · outbound

This paper cites A theory of networks for approximation and learning,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification A theory of networks for approximation and learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.688614Z

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Unavailable: canonical work link unavailable.

Observation 6d39b4f3-f5fc-423c-9411-013af3624e01 · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and bench- marks on weakly-supervised classification and localization of common thorax diseases,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Chestx-ray8: Hospital-scale chest x-ray database and bench- marks on weakly-supervised classification and localization of common thorax diseases,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.801699Z

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Observation ce029901-69fc-4956-94bf-e470ab39a1d1 · outbound

This paper cites Class balanced adaptive pseudo labeling for federated semi-supervised learning,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Class balanced adaptive pseudo labeling for federated semi-supervised learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.898382Z

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Unavailable: canonical work link unavailable.

Observation ed69ea18-0d6c-4803-98da-8992e97717f6 · outbound

This paper cites Torchxrayvision: A library of chest x-ray datasets and models,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Torchxrayvision: A library of chest x-ray datasets and models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:15.998839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d7d6ac-27b1-45f8-bf6c-0b6f2792101b · outbound

This paper cites Deep residual learning for image recognition,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Deep residual learning for image recognition,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:16.103089Z

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Observation ef7c4267-68df-417d-adef-828ba93b8162 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:16.207728Z

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Unavailable: canonical work link unavailable.

Observation ec742e91-fc01-460d-929e-8772848ac3dc · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks,.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Efficientnet: Rethinking model scaling for convolutional neural networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:16.321625Z

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Pith citing papers

No inbound Pith citation observations are available.