Paper Citation Record · LEDGER

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection

As of 11 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.04978.

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

pith.paper-citation-record.v1
2506.04978 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:34:47.519852Z

measured 32 of 32 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

32 of 32 outbound references displayed

verified exact0
verified fuzzy28
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f0b7df7-c182-4cfe-bf8b-abb54f44e787 · outbound

This paper cites Candito: Improving payload-based detection of attacks on controller area networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Candito: Improving payload-based detection of attacks on controller area networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:51.900048Z

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 478da6a7-58f1-451f-8277-8f2313bb52d4 · outbound

This paper cites Specification, “Bosch,”Robert Bosch GmbH, Postfach, vol.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Specification, “Bosch,”Robert Bosch GmbH, Postfach, vol

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:51.741653Z

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 0ba41112-17b3-4920-af66-d3c1ebe50040 · outbound

This paper cites Source identification using signal character- istics in controller area networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Source identification using signal character- istics in controller area networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:51.524925Z

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 c8d41fc2-36e9-4ef7-bf8c-81f8a6cb33e5 · outbound

This paper cites Parrot, a software-only anti-spoofing defense system for the can bus,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Parrot, a software-only anti-spoofing defense system for the can bus,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:51.298654Z

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 e726646c-24d1-4447-ba5c-0f69f3cd19cb · outbound

This paper cites Copycan: An error- handling protocol based intrusion detection system for controller area network,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Copycan: An error- handling protocol based intrusion detection system for controller area network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:51.119924Z

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 178aa9b9-5128-43cc-ba9d-2ced18cff5fa · outbound

This paper cites Frequency-based anomaly detection for the automotive CAN bus,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Frequency-based anomaly detection for the automotive CAN bus,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:51.011218Z

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 237ee029-f051-45fe-b1d5-071471c6a90f · outbound

This paper cites Automotive intrusion detection based on constant CAN message frequencies across vehicle driving modes,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Automotive intrusion detection based on constant CAN message frequencies across vehicle driving modes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:50.880870Z

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 96ed20b9-6bab-4535-8e22-554d72671b7e · outbound

This paper cites Graph-based intrusion detection system for controller area networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Graph-based intrusion detection system for controller area networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:50.716381Z

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 a5ca1a64-31a7-4c04-8c02-39cea5b829ee · outbound

This paper cites Cannolo: An anomaly detection system based on LSTM autoencoders for controller area network,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Cannolo: An anomaly detection system based on LSTM autoencoders for controller area network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:50.546918Z

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 a376bb44-9d43-4e59-84ee-a4a35162c1e8 · outbound

This paper cites In-vehicle network intrusion detection using deep convolutional neural network,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection In-vehicle network intrusion detection using deep convolutional neural network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:50.415602Z

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 94ff483e-7062-48a8-9599-c85b3ebc35b1 · outbound

This paper cites Canet: An unsupervised intrusion detection system for high dimensional CAN bus data,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Canet: An unsupervised intrusion detection system for high dimensional CAN bus data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:50.294199Z

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 a441f4b6-2da0-493f-8f2d-8fb94e6a7487 · outbound

This paper cites Intrusion detection in the automotive domain: A comprehensive review,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Intrusion detection in the automotive domain: A comprehensive review,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:50.085087Z

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 6ce6d7e0-8a4d-4f81-996c-622362bd3252 · outbound

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

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Communication-efficient learning of deep networks from decentralized data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:49.916312Z

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 93e10425-36c1-44d5-ac01-5090ac73e99d · outbound

This paper cites Federated optimization in heterogeneous networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Federated optimization in heterogeneous networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:34:46.172717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a6ad12-3c25-4fb3-a7b8-214efc2412a6 · outbound

This paper cites READ: reverse engineering of automotive data frames,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection READ: reverse engineering of automotive data frames,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:49.797005Z

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 b2d546de-d1d7-460e-8ba6-42ba78915ce9 · outbound

This paper cites Canova: A hybrid intrusion detection framework based on automatic signal classification for CAN,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Canova: A hybrid intrusion detection framework based on automatic signal classification for CAN,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:49.664865Z

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 41c07e01-91d2-46b2-9c0c-ac9ca1a0c3bf · outbound

This paper cites Eclipse mosquitto: An open source mqtt broker,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Eclipse mosquitto: An open source mqtt broker,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:49.536663Z

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 8ea63f43-f921-4e8c-b317-6b5eacdc5974 · outbound

This paper cites MQTT Version 5.0.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection MQTT Version 5.0

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:49.231563Z

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 6981c97d-5a2a-4b81-8d9f-22d1ff339cc2 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection LEAF: A Benchmark for Federated Settings

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:34:46.596166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d72fc0c-93f2-4e1b-b767-0108721a347d · outbound

This paper cites Recan data - reverse engineering of controller area networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Recan data - reverse engineering of controller area networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:49.107817Z

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 320e4934-ce94-423c-b196-591c80d3a090 · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Practical secure aggregation for privacy-preserving machine learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.952510Z

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 913091e9-7fca-444d-a88d-e48a820e8874 · outbound

This paper cites Privacy- preserving patient similarity learning in a federated environment: De- velopment and analysis,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Privacy- preserving patient similarity learning in a federated environment: De- velopment and analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.819461Z

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 b63c5f88-200f-4e6e-a83d-7f612115c73b · outbound

This paper cites Federated learning of predictive models from federated electronic health records,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Federated learning of predictive models from federated electronic health records,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.660116Z

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 7fdcfe5e-ac0e-4cd3-8a60-4bfb6937ad27 · outbound

This paper cites Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.513646Z

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 4b5e8ee8-e873-44b0-a79a-258e1ed0c7fa · outbound

This paper cites Federated learning for the internet of things: Applications, challenges, and opportunities,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Federated learning for the internet of things: Applications, challenges, and opportunities,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.398596Z

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 17f6f97b-8b32-4466-949e-94a2705664a1 · outbound

This paper cites A survey on federated learning for resource-constrained iot devices,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection A survey on federated learning for resource-constrained iot devices,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.298442Z

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 cce88c72-5107-4018-a4a8-713d1b6635e5 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:34:47.182129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f195374-2afa-4e51-98b6-d7b7ee201eee · outbound

This paper cites QSGD: communication-efficient SGD via gradient quantization and encoding,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection QSGD: communication-efficient SGD via gradient quantization and encoding,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:48.129204Z

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 8081dc1d-36cd-460c-b9f6-4df5100be9c6 · outbound

This paper cites Federated learning in vehicular networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Federated learning in vehicular networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:47.935674Z

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 73d64163-83df-46d5-a434-b9a31bf48d0f · outbound

This paper cites Imagefed: Practical privacy preserving intrusion detection system for in-vehicle can bus protocol,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Imagefed: Practical privacy preserving intrusion detection system for in-vehicle can bus protocol,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:47.798877Z

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 b59257cf-2208-43a6-bb82-4f91c3f0484e · outbound

This paper cites Federated graph neural network for fast anomaly detection in controller area networks,.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Federated graph neural network for fast anomaly detection in controller area networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:47.647034Z

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 d9ffdf44-f5e0-4df8-9225-eba28d0021d8 · outbound

This paper cites an unresolved cited work.

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:34:49.396353Z

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.