Paper Citation Record · LEDGER

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning

As of 18 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.15923.

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

pith.paper-citation-record.v1
2506.15923 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:22.173653Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

37 of 37 outbound references displayed

verified exact0
verified fuzzy28
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59b50b2f-71fc-4c84-bd44-d358beae860f · outbound

This paper cites Federated learning: Collaborative ma- chine learning without centralized training data,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Federated learning: Collaborative ma- chine learning without centralized training data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:27.012740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbe718a3-98ac-4528-81d8-1473ea8bbfd0 · outbound

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

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:19.476076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b0af50-bea2-49d6-9752-922fc4a50e21 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:19.548735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f640f15-5a0f-4ac3-9ec3-71f100c99232 · outbound

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

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:19.621023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d91d7adb-8821-45dd-b006-80c839ca995f · outbound

This paper cites A state-of-the-art survey on solving non-iid data in federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning A state-of-the-art survey on solving non-iid data in federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.848685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a0fe614-d37a-4475-a29f-b1ac213b280d · outbound

This paper cites A comprehensive survey on client selection strategies in federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning A comprehensive survey on client selection strategies in federated learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:19.765638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562c4355-87f5-4322-a1ec-37e5db74ffce · outbound

This paper cites Oort: Efficient federated learning via guided participant selection,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Oort: Efficient federated learning via guided participant selection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.706146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a8d79f7-415f-4ab0-b1da-3c3f99fe2f07 · outbound

This paper cites Eiffel: Efficient and fair scheduling in adaptive federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Eiffel: Efficient and fair scheduling in adaptive federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.501382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac6de132-6a77-4c7d-b66b-3645dfd63a5e · outbound

This paper cites Diverse client selection for federated learning via submodular max- imization,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Diverse client selection for federated learning via submodular max- imization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.354648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fd72af9-9377-4050-a22b-9d709f172b36 · outbound

This paper cites Fast-convergent federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Fast-convergent federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:26.156638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8ac5b94-141d-4603-931f-a4748eae0bb9 · outbound

This paper cites A pre- liminary study of improving evolutionary multi-objective optimization via knowledge transfer from single-objective problems,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning A pre- liminary study of improving evolutionary multi-objective optimization via knowledge transfer from single-objective problems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.990047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5ee3114-eff8-4a6f-b4ae-2bbdc1f57ff5 · outbound

This paper cites Fairness-aware client selection for federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Fairness-aware client selection for federated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.828746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb327192-77e4-45e8-bb37-4cc874d424d8 · outbound

This paper cites Lyapunov- based optimization of edge resources for energy-efficient adaptive fed- erated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Lyapunov- based optimization of edge resources for energy-efficient adaptive fed- erated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.665264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee798c59-e2ee-4edb-84b1-762357c6c3a5 · outbound

This paper cites Joint client selection and cpu frequency control in wireless federated learning networks with power constraints,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Joint client selection and cpu frequency control in wireless federated learning networks with power constraints,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.501741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 779bb972-dcef-4817-80bf-44874db4f810 · outbound

This paper cites A greedy agglomerative framework for clus- tered federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning A greedy agglomerative framework for clus- tered federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.336813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b5a5698-df5f-48cb-9b67-3516b12e0bcf · outbound

This paper cites Dynamic federated learning for gmec with time-varying wireless link,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Dynamic federated learning for gmec with time-varying wireless link,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.211385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea66bdd0-949c-4527-932f-fe7a5e147381 · outbound

This paper cites Mflces: Multi-level federated edge learning algorithm based on client and edge server selection,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Mflces: Multi-level federated edge learning algorithm based on client and edge server selection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:25.037547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eceaa40c-c020-4c0b-9d6c-4ca80a02863e · outbound

This paper cites Budgeted online selection of candidate iot clients to participate in federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Budgeted online selection of candidate iot clients to participate in federated learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.916329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3da5918-e50f-49d5-91ee-51daa63f444f · outbound

This paper cites Pre-treatment quality of life as a predictor of distant metastasis- free survival and overall survival in patients with head and neck cancer who underwent free flap reconstruction,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Pre-treatment quality of life as a predictor of distant metastasis- free survival and overall survival in patients with head and neck cancer who underwent free flap reconstruction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.746684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6aa4f0a-cf52-43b2-87bc-8dd384eb1fb5 · outbound

This paper cites Deep reinforcement learning assisted federated learning algorithm for data management of iiot,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Deep reinforcement learning assisted federated learning algorithm for data management of iiot,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.590815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5dba6ce9-b66d-4e2e-8beb-c8e1f45a2851 · outbound

This paper cites Deep-reinforcement-learning-assisted client selection in nonorthogonal- multiple-access-based federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Deep-reinforcement-learning-assisted client selection in nonorthogonal- multiple-access-based federated learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:21.022566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71e5548c-bca5-4ce4-815a-3f9fbf90563b · outbound

This paper cites Deep reinforcement learning: A brief survey,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Deep reinforcement learning: A brief survey,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.503969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e463369-4799-4f03-8a88-c94c2eda2330 · outbound

This paper cites A buffered semi-asynchronous mechanism with mab for efficient federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning A buffered semi-asynchronous mechanism with mab for efficient federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.377226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 710dc479-78c0-43a0-be89-bff87cfc1a54 · outbound

This paper cites Online client selection for asynchronous federated learning with fairness considera- tion,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Online client selection for asynchronous federated learning with fairness considera- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.206612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17e20299-860e-486c-88ed-18de7bd9839b · outbound

This paper cites A novel reputation-aware client selection scheme for federated learning within mobile environments,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning A novel reputation-aware client selection scheme for federated learning within mobile environments,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:24.064365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59a84a6e-8c4f-434c-9a2f-38d1aa117406 · outbound

This paper cites Block-racs: Towards reputation- aware client selection and monetization mechanism for federated learn- ing,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Block-racs: Towards reputation- aware client selection and monetization mechanism for federated learn- ing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:23.944976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a5ff2ad3-7b6a-46e6-86b9-20232d174f63 · outbound

This paper cites The collective wisdom in the covid-19 research: Comparison and synthesis of epidemi- ological parameter estimates in preprints and peer-reviewed articles,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning The collective wisdom in the covid-19 research: Comparison and synthesis of epidemi- ological parameter estimates in preprints and peer-reviewed articles,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:23.821248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be7963a8-9931-4ff5-b836-a4e548d252fd · outbound

This paper cites Reputation-aware federated learning client selection based on stochastic integer programming,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Reputation-aware federated learning client selection based on stochastic integer programming,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:23.668629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 510f5f6c-6992-443a-8ebd-570e87cbd128 · outbound

This paper cites Active Federated Learning.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Active Federated Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:21.640401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cdd6a76-802a-4ff7-9e32-2444b5d3b85d · outbound

This paper cites Towards understanding biased client selection in federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Towards understanding biased client selection in federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:23.496876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d5515d4-426b-44c1-aad3-c57024e74798 · outbound

This paper cites Client selection in federated learning based on gradients importance,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Client selection in federated learning based on gradients importance,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:21.768246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00bdbc8-066b-41bd-96c8-e9603293da9c · outbound

This paper cites Gradient coreset for federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Gradient coreset for federated learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:23.338056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5862a969-40e4-4af0-b875-aacff0d0f239 · outbound

This paper cites Federated learning with client selection and gradient compression in heterogeneous edge systems,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Federated learning with client selection and gradient compression in heterogeneous edge systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:22.985053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3a6b910-753e-415a-809d-1c38e5bc957f · outbound

This paper cites Fedcor: Correlation-based active client selection strategy for heteroge- neous federated learning,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Fedcor: Correlation-based active client selection strategy for heteroge- neous federated learning,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:22.003463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f2e4439-5be9-4370-b79b-b957372dea51 · outbound

This paper cites Cifar-10 (canadian institute for advanced research),.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Cifar-10 (canadian institute for advanced research),

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:22.742140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d55a5ee3-2d9d-4b8e-852c-b897ff66f06a · outbound

This paper cites Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms,.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:22.404396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2966bfe4-5ccf-481b-a962-c094654a0175 · outbound

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

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:22.173653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.