Paper Citation Record · LEDGER

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.23583.

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

pith.paper-citation-record.v1
2506.23583 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:43:10.439069Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact2
verified fuzzy35
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 351cc342-a1d7-4481-aa33-b2490127eef2 · outbound

This paper cites Sok: Differential privacies,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Sok: Differential privacies,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:17.594748Z

Source-reported events for the cited work

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Observation 39a42e7e-8b74-4350-8d77-ed35ad9dd4a1 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:06.812812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e4354a-c65b-4666-ab26-7b60e721b699 · outbound

This paper cites Data poisoning attacks against federated learning systems,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Data poisoning attacks against federated learning systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:17.352115Z

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 9fa4ad49-65e8-4d08-8a0c-3f6ac8765ac7 · outbound

This paper cites How to backdoor federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning How to backdoor federated learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:17.015370Z

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 2dd64f2b-de08-40ec-a9cf-89c738bc3893 · outbound

This paper cites An exploratory analysis on users’ contributions in federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning An exploratory analysis on users’ contributions in federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:16.623090Z

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 a0990114-32d1-4ea7-98d9-8dd9bfeae501 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:16.324885Z

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 645584aa-3f98-4de2-bd85-7838ddf138b3 · outbound

This paper cites A principled approach to data valuation for federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning A principled approach to data valuation for federated learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:16.130341Z

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 89d59ff2-5d9c-4ecb-bc14-0e5904b72b42 · outbound

This paper cites Fedsv: Byzantine-robust feder- ated learning via shapley value,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Fedsv: Byzantine-robust feder- ated learning via shapley value,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.967131Z

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 b15ed041-7d5b-4818-8e59-08ff05c5de7e · outbound

This paper cites Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.774277Z

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 c20921f9-af41-4933-b83a-1d42e65231ab · outbound

This paper cites The Shapley Value in Machine Learning.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning The Shapley Value in Machine Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:07.521517Z

Source-reported events for the cited work

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Observation ee841680-0167-4670-9a72-25a7825b17fd · outbound

This paper cites FedGT: Identification of malicious clients in federated learning with secure aggrega- tion,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning FedGT: Identification of malicious clients in federated learning with secure aggrega- tion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.567658Z

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 45db9a7a-1075-4b56-a88a-a6c4033e505f · outbound

This paper cites Quality inference in federated learning with secure aggregation,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Quality inference in federated learning with secure aggregation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.501875Z

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 5d4409e8-50cc-4c17-868d-b1963150084c · outbound

This paper cites A survey on data poisoning attacks and defenses,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning A survey on data poisoning attacks and defenses,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.379640Z

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 fb8ead44-189d-4829-9bbf-6e3a4a065dba · outbound

This paper cites Label poisoning is all you need,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Label poisoning is all you need,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.184489Z

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 045c70a6-6958-49a2-a48d-178f553b31bf · outbound

This paper cites Autoregressive perturbations for data poisoning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Autoregressive perturbations for data poisoning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:15.005539Z

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 00aeabc2-4d2a-47fa-8481-854ae595c0f2 · outbound

This paper cites Backdoor learning: A survey,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Backdoor learning: A survey,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:14.818171Z

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 973ffda7-0cf7-4326-88a3-3841cb0124b2 · outbound

This paper cites Defense strategies toward model poisoning attacks in federated learning: A survey,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Defense strategies toward model poisoning attacks in federated learning: A survey,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:14.623769Z

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 1f094869-9755-42d4-8704-4fb0fc01ee4b · outbound

This paper cites Learning to invert: Simple adaptive attacks for gradient inversion in federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Learning to invert: Simple adaptive attacks for gradient inversion in federated learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:14.481924Z

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 3361fdc1-32bd-43a6-adef-1f591c57432e · outbound

This paper cites Mitigating Sybils in Federated Learning Poisoning.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Mitigating Sybils in Federated Learning Poisoning

Reference 19

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Source-reported events for the cited work

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Observation b856eec7-1764-4c4c-a586-50349a6bb6ed · outbound

This paper cites Robust aggregation for fed- erated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Robust aggregation for fed- erated learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:14.272492Z

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 05f4cc04-20cd-4916-8d4a-fc2f8d04032a · outbound

This paper cites Byzantine-resilient secure federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Byzantine-resilient secure federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:14.099115Z

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 7f07a7b5-6eb6-4613-a313-94b5c4e031d2 · outbound

This paper cites Advances and open problems in federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Advances and open problems in federated learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:13.934075Z

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 d398a8dc-fa07-4be2-8d89-0704ce0825c7 · outbound

This paper cites Fast-convergent federated learning with adaptive weighting,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Fast-convergent federated learning with adaptive weighting,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:13.749050Z

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 07390fcf-f8f5-4c4f-8093-5730abae6174 · outbound

This paper cites Byzantine- robust federated learning via cosine similarity aggregation,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Byzantine- robust federated learning via cosine similarity aggregation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:13.606132Z

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 b4ab372d-7914-4f8a-89e3-c3c4a25752f0 · outbound

This paper cites A survey on homomor- phic encryption schemes: Theory and implementation,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning A survey on homomor- phic encryption schemes: Theory and implementation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:13.454966Z

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 59e54144-4fd9-4a72-abe1-6c9d8eb32068 · outbound

This paper cites Xai—explainable ai,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Xai—explainable ai,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:13.314293Z

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 9a49d42a-663a-429f-8a80-9f0628804786 · outbound

This paper cites Beyond accuracy: What data quality means to data consumers,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Beyond accuracy: What data quality means to data consumers,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:13.136285Z

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 fb336b6c-abc1-4856-9092-da29a9e19d3b · outbound

This paper cites Measure contribution of participants in federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Measure contribution of participants in federated learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:12.932529Z

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 7ef2adf3-c42c-4d65-81ec-436f1257feaf · outbound

This paper cites Gradient driven rewards to guarantee fairness in collaborative machine learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Gradient driven rewards to guarantee fairness in collaborative machine learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:12.747413Z

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 6e5dafda-e8af-4f2b-9cdf-6fd9fa1a81d6 · outbound

This paper cites The shapley value,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning The shapley value,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:12.600721Z

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 62559ea2-4177-4bda-8062-224c2db39678 · outbound

This paper cites Secure Shapley Value for Cross-Silo Federated Learning (Technical Report).

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:43:10.833900Z

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 a5fef66e-bd7b-455c-b20e-92779b59c674 · outbound

This paper cites Differentially Private Shapley Values for Data Evaluation.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Differentially Private Shapley Values for Data Evaluation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:43:10.658861Z

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 329ad383-9c95-450c-b7ab-790949aa0636 · outbound

This paper cites Transparent contribution evaluation for secure federated learning on blockchain,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Transparent contribution evaluation for secure federated learning on blockchain,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:12.398660Z

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 7c20b9da-7786-49ec-9e49-1c8669c9bc39 · outbound

This paper cites Measuring contributions in privacy- preserving federated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Measuring contributions in privacy- preserving federated learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:12.209943Z

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 369ccf67-1c4d-4c0a-a8fd-b4e8652e37ca · outbound

This paper cites Inferring contributions in privacy-preserving fed- erated learning,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Inferring contributions in privacy-preserving fed- erated learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:12.027824Z

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 f98a370d-7b19-4e74-a4a5-b85d24b203bd · outbound

This paper cites Leave one out error, stability, and generalization of voting combinations of classifiers,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Leave one out error, stability, and generalization of voting combinations of classifiers,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:11.848129Z

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 f0a19447-a360-44b9-96a8-ee9bfcccf4e3 · outbound

This paper cites Leave-one-out unfairness,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Leave-one-out unfairness,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:11.607521Z

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 bc6b5147-8e08-41b4-b574-0710e1bd5d50 · outbound

This paper cites Flamby: datasets and benchmarks for cross-silo federated learning in realistic healthcare settings,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Flamby: datasets and benchmarks for cross-silo federated learning in realistic healthcare settings,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:11.422296Z

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 ecd3daf5-91b3-4d77-8929-85c94f3b14c3 · outbound

This paper cites Shapleyfl: Robust federated learning based on shapley value,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Shapleyfl: Robust federated learning based on shapley value,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:11.234583Z

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 a791e434-9ac8-45cd-8e28-d46b3a511374 · outbound

This paper cites Opendataval: a unified benchmark for data valuation,.

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning Opendataval: a unified benchmark for data valuation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:43:11.077364Z

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.