Paper Citation Record · LEDGER

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption

As of 12 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2509.01587.

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

pith.paper-citation-record.v1
2509.01587 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:26:29.023886Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

21 of 21 outbound references displayed

verified exact6
verified fuzzy2
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9a89626-3904-4d67-ab8f-4b1c37cf632d · outbound

This paper cites URL https://doi.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption URL https://doi

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T12:26:30.999028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea783d9c-e6d0-4854-b629-890774346325 · outbound

This paper cites Petsiuk, A.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Petsiuk, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:26:32.453620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b119b6c1-ae9c-4ccb-b12e-b87e06eefbee · outbound

This paper cites Adaptive Federated Optimization.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Adaptive Federated Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:28.156594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682a382d-7999-40c2-ae02-e31fb2bcf8af · outbound

This paper cites org/10.1007/978-3-030-28954-6_14.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption org/10.1007/978-3-030-28954-6_14

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:27.515553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1283005-fb54-4d96-a8d2-aadb0b22e539 · outbound

This paper cites Ruan and C.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Ruan and C

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:26:32.151237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0723bf0d-79c5-470b-8856-0a9aa1e71092 · outbound

This paper cites Evaluation of Saliency-based Explainability Method.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Evaluation of Saliency-based Explainability Method

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:26:30.357087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f0d1267-d315-4bd2-9e3d-7ffd882ffc36 · outbound

This paper cites doi: 10.18653/v1/2021.privatenlp-1.1.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption doi: 10.18653/v1/2021.privatenlp-1.1

Reference 18

Resolution: verified exact; doi, observed 2026-08-05T12:26:29.266938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f377c95e-afb9-4722-a342-7e434bcd111b · outbound

This paper cites A Field Guide to Federated Optimization.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption A Field Guide to Federated Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:28.617032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c959a6-0e3b-4b5f-b4d0-930b34c24e4c · outbound

This paper cites Approximate and Weighted Data Reconstruction Attack in Federated Learning.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Approximate and Weighted Data Reconstruction Attack in Federated Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:26:29.914836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a267acda-a4b6-434c-964b-931eb4555e86 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:28.872604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74371b1c-40f3-4900-88da-cd86b54c0cd2 · outbound

This paper cites FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:26:29.521492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c195b65c-bca2-46b0-87a4-6bd7da46a791 · outbound

This paper cites an unresolved cited work.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Unresolved cited work

Reference 2009

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:26:32.580440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 153e7fb7-ffc6-462d-a043-2c35c8523cc0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Adam: A Method for Stochastic Optimization

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:27.595445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82714924-b602-4463-9bc8-12b1c04eed9f · outbound

This paper cites URL https://ieeexplore.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption URL https://ieeexplore

Reference 2017

Resolution: verified exact; raw_fallback, observed 2026-08-05T12:26:31.814868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c541feed-aa02-4b0d-a986-ff2ccb12497a · outbound

This paper cites On the Convergence of Clustered Federated Learning.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption On the Convergence of Clustered Federated Learning

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:26:30.694021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81fbb3b2-5728-4545-a195-feeab0a62462 · outbound

This paper cites an unresolved cited work.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:27.444526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd8d3a3-256e-457b-a01c-c344e6e85875 · outbound

This paper cites Three Approaches for Personalization with Applications to Federated Learning.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Three Approaches for Personalization with Applications to Federated Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:27.982200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd375fb9-b249-4490-89ff-aefcb1f2b187 · outbound

This paper cites an unresolved cited work.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:26:32.718238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6cc94f20-ba36-4b35-b254-be41d94f618b · outbound

This paper cites an unresolved cited work.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Unresolved cited work

Reference 2022

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T12:26:31.383553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1cc619fd-0d84-4572-8322-bae6d9542d2a · outbound

This paper cites an unresolved cited work.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:28.465445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86f8c8b-b6b5-4884-9874-969030195e51 · outbound

This paper cites Understanding Membership Inferences on Well-Generalized Learning Models.

One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption Understanding Membership Inferences on Well-Generalized Learning Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T12:26:27.803064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.