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Paper Citation Record · LEDGER

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.01186.

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

pith.paper-citation-record.v1
2505.01186 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:51.750841Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

27 of 27 outbound references displayed

  • verified exact4
  • verified fuzzy15
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 338086a8-6cf4-41df-8862-11defc933818 · outbound

This paper cites an unresolved cited work.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5fb5636a-d2bd-4773-9d75-95b0f19545a7 · outbound

This paper cites Client-edge-cloud hierarchical federated learning,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Client-edge-cloud hierarchical federated learning,

Reference 2

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unresolved
no resolver link, observed 2026-08-16T04:28:51.343880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37aec94f-5e23-4e0c-b5f7-2e5683b392fc · outbound

This paper cites Hierarchical federated learning across heterogeneous cellular networks,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Hierarchical federated learning across heterogeneous cellular networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.431146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c4ea88d2-7459-42f5-83ba-adf0abdb84b3 · outbound

This paper cites Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:28:51.902642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6648ebb4-6f83-43ee-a3b8-9710e776b7a0 · outbound

This paper cites Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:28:51.844174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0bf89439-898c-43b1-8fe1-dd978a33b56e · outbound

This paper cites Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:28:51.358435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c3c2abf-0df4-4d34-8176-5b2fe18ac0a7 · outbound

This paper cites Poisoning attacks in federated learning: A survey,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Poisoning attacks in federated learning: A survey,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.420019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation af4e7e61-4a1d-43b4-9e10-5ac96cb7e821 · outbound

This paper cites The impact of adversarial attacks on federated learning: A survey,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks The impact of adversarial attacks on federated learning: A survey,

Reference 8

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raw_fallback, observed 2026-08-16T04:28:52.408672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 83d357ba-db0c-45ea-85f4-5fc5eeb4aaae · outbound

This paper cites Mpaf: Model poisoning attacks to federated learning based on fake clients,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Mpaf: Model poisoning attacks to federated learning based on fake clients,

Reference 9

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raw_fallback, observed 2026-08-16T04:28:52.301651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 020b5e38-1919-4132-b6d5-776540a38e73 · outbound

This paper cites Desmp: Differential privacy-exploited stealthy model poisoning attacks in federated learn- ing,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Desmp: Differential privacy-exploited stealthy model poisoning attacks in federated learn- ing,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.261833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 149e58b0-6827-44c4-8304-7e8173aa46f7 · outbound

This paper cites FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:28:51.809667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d8ec7527-bc31-4207-a217-40ffaf04deba · outbound

This paper cites Poisoning attack detection using client historical similarity in non-iid environments,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Poisoning attack detection using client historical similarity in non-iid environments,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.252335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2f7ec707-120d-4e1a-9ba3-c26dc11d3161 · outbound

This paper cites Defending against Data Poisoning Attacks in Federated Learning via User Elimination.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Defending against Data Poisoning Attacks in Federated Learning via User Elimination

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:28:51.794167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eae9bdea-4f6b-461b-9f04-dd0b4eaf51ce · outbound

This paper cites Securing federated learning model aggregation against poisoning attacks via credit-based client selection,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Securing federated learning model aggregation against poisoning attacks via credit-based client selection,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.242684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7244f763-8e7e-4b29-bc7e-3360f6a92938 · outbound

This paper cites Secure Federated Learning against Model Poisoning Attacks via Client Filtering.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Secure Federated Learning against Model Poisoning Attacks via Client Filtering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T04:28:51.527107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e6c3566a-ec9c-4dab-8b28-342f9bc71ffe · outbound

This paper cites Dedicated short-range communications (dsrc) standards in the united states,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Dedicated short-range communications (dsrc) standards in the united states,

Reference 16

Resolution
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no resolver link, observed 2026-08-16T04:28:51.573455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d89837e-b835-4c27-896b-bf2f4f6722ca · outbound

This paper cites 6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and opportu- nities,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks 6g for vehicle-to-everything (v2x) communications: Enabling technologies, challenges, and opportu- nities,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.226843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 349f3774-7859-48c1-812f-ebab27a39a31 · outbound

This paper cites Lte evolution for vehicle-to-everything services,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Lte evolution for vehicle-to-everything services,

Reference 18

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raw_fallback, observed 2026-08-16T04:28:52.215127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation aa6db057-60d2-498e-a623-8caac76f60ff · outbound

This paper cites 5g nr-v2x: Toward connected and cooperative autonomous driving,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks 5g nr-v2x: Toward connected and cooperative autonomous driving,

Reference 19

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unresolved
no resolver link, observed 2026-08-16T04:28:51.723907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9006f7af-defa-4112-9464-80ff68bac937 · outbound

This paper cites Privacy-preserving deep learning,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Privacy-preserving deep learning,

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 888a3e4c-8bb1-446b-93c2-83d1852fa485 · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Federated learning: Challenges, methods, and future directions,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.112892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1410589d-e8f6-4207-8448-cf1e303dfa86 · outbound

This paper cites Analyzing federated learning through an adversarial lens,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Analyzing federated learning through an adversarial lens,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-16T04:28:52.023425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7be32444-e9ff-47b1-97c5-e316b66689b3 · outbound

This paper cites Anomaly detection: A survey,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Anomaly detection: A survey,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T04:28:51.738803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bd0ca300-6e22-4e75-83b4-3f127bfbc6c5 · outbound

This paper cites Goodfellow, Y.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Goodfellow, Y

Reference 24

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no resolver link, observed 2026-08-16T04:28:51.742336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2883c5ff-93ae-4fd6-a65e-819c732bb241 · outbound

This paper cites Analytical models of the performance of ieee 802.11p vehicle to vehicle communications,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Analytical models of the performance of ieee 802.11p vehicle to vehicle communications,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:51.999502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a9777d43-a545-473b-99c4-8795d0a7d005 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 ghz,.

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Study on channel model for frequencies from 0.5 to 100 ghz,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:51.988056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eb238721-54be-4e67-a6df-0254ec629c15 · outbound

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

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks Communication-efficient learning of deep networks from decentralized data,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:28:51.974720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.