Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:55.772098Z
Paper Citation Record · LEDGER
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats
As of 14 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.23706.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact2
- verified fuzzy2
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 52f2e2b6-6665-419a-919b-3210eb8cc97c · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:58.290525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cff9b789-158b-4de3-8809-993b00d2b0ad · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:58.179328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6bed0f75-4862-4958-93b1-d60f7991296b · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:58.136848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 74fbe3f2-8ac0-4556-a423-9f0a99fd78f2 · outbound
This paper cites van der Hei, Arnaud Kaiser, Pascal Urien, and Frank Kargl.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats van der Hei, Arnaud Kaiser, Pascal Urien, and Frank Kargl
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:42:57.985560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 93c0ec5a-9885-4f8f-b17d-f86d62a244c6 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:57.904368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0a3f2088-0693-4000-a877-3d5eab8eb6c6 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:57.665793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c3cc38cf-328f-49ce-9ecf-549a7557dc39 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:57.510941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 784ea136-a699-42b5-bbc1-9848ab3a01b1 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:57.268923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 03e6b520-db7c-47e8-8dc9-ca3bd0324228 · outbound
This paper cites Jamming Attacks on Federated Learning in Wireless Networks.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Jamming Attacks on Federated Learning in Wireless Networks
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:42:56.274386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 413d2ccc-a07b-40d0-ac64-12ee29416404 · outbound
This paper cites Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:42:56.002160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 49bb25c7-6eac-460e-bee4-263cfe053912 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:57.096817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 08646862-430e-4b10-8b62-0a75884f2c55 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:57.017924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 429b5173-e4dc-4fa0-8acf-053d05e56570 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:56.845249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c6141356-88e7-4062-b9bd-a43a713b1a74 · outbound
This paper cites an unresolved cited work.
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:42:56.544396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 457ba90e-6b9f-408f-a0d0-446f189e5219 · outbound
This paper cites Journal on Autonomous Transportation Systems 2, 3 (2024).
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats Journal on Autonomous Transportation Systems 2, 3 (2024)
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:42:58.228385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.