Paper Citation Record · LEDGER

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.04073.

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

pith.paper-citation-record.v1
2608.04073 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:49:01.072591Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy14
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fd5409d-cea1-446e-ba39-d6f4a81861e2 · outbound

This paper cites Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:00.913536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af4e3ca-6fbb-4133-8113-3a3e89e512b4 · outbound

This paper cites Surveying trust-based collaborative intrusion detection: State-of-the-art, challenges and future directions,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Surveying trust-based collaborative intrusion detection: State-of-the-art, challenges and future directions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.621029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation be5e711a-52c9-4581-bd5a-2f4ae0fc0063 · outbound

This paper cites A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks A survey on IoT intrusion detection: Federated learning, game theory, social psychology, and explainable AI as future directions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.591836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64f3e312-6219-4c26-a732-a0847e6f32eb · outbound

This paper cites Federated learning for internet of things: A compre- hensive survey,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Federated learning for internet of things: A compre- hensive survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.561763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9c67424-7a1e-4f6c-b4cd-51c4ecbdba3a · outbound

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

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Communication-efficient learning of deep networks from decentralized data,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.527343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 009ffe63-59ec-4eca-a0b3-50bc7f9493bc · outbound

This paper cites Personalized federated learning for intelligent IoT applications: A cloud-edge based framework,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Personalized federated learning for intelligent IoT applications: A cloud-edge based framework,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.501865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f654f8eb-4c32-44cb-8e45-1f06d6b18dff · outbound

This paper cites Ditto: fair and robust federated learning through personal- ization,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Ditto: fair and robust federated learning through personal- ization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.472848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation de672f71-e8f5-4aec-a9f1-b4cefa76a918 · outbound

This paper cites Adaptive Personalized Federated Learning.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Adaptive Personalized Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:00.982541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d703cac-5028-4432-bbd7-708e57267f56 · outbound

This paper cites FedALA: adaptive local aggregation for personalized federated learn- ing,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks FedALA: adaptive local aggregation for personalized federated learn- ing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.438597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c52de141-c8a2-43ba-b35c-7b8a2935ef89 · outbound

This paper cites Lower bounds and optimal algorithms for personalized federated learning,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Lower bounds and optimal algorithms for personalized federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.409250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd21d7d3-c4a2-42a7-a3a9-06f06bc5fbcb · outbound

This paper cites Adapt to adaptation: Learning personalization for cross-silo federated learning,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Adapt to adaptation: Learning personalization for cross-silo federated learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:49:01.006697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5b0f89-bb43-469b-b8a7-3e2e75479cd3 · outbound

This paper cites A contextual-bandit approach to personalized news article recommendation,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks A contextual-bandit approach to personalized news article recommendation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.383376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 271c7e1b-1da4-413a-9e98-55ad5057a87f · outbound

This paper cites FedEff: efficient federated learning with optimal local epochs for heterogeneous clients,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks FedEff: efficient federated learning with optimal local epochs for heterogeneous clients,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.354863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe78ec84-bebf-457f-8dee-3b3417b1704e · outbound

This paper cites FedDdrl: Federated double deep reinforcement learning for heterogeneous IoT with adaptive early client termination and local epoch adjustment,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks FedDdrl: Federated double deep reinforcement learning for heterogeneous IoT with adaptive early client termination and local epoch adjustment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.305090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a413f698-5418-44c9-83f9-4415c681c285 · outbound

This paper cites CICIoT2023: a real-time dataset and benchmark for large- scale attacks in IoT environment,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks CICIoT2023: a real-time dataset and benchmark for large- scale attacks in IoT environment,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.276292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ded3d1c-8db9-432c-a839-6c2296f8fe5c · outbound

This paper cites PFLlib: a beginner-friendly and comprehensive personalized federated learning library and benchmark,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks PFLlib: a beginner-friendly and comprehensive personalized federated learning library and benchmark,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.249973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d25a44e-45cb-4d60-9904-783219f8089b · outbound

This paper cites Multivariate stochastic approximation using a simultane- ous perturbation gradient approximation,.

FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks Multivariate stochastic approximation using a simultane- ous perturbation gradient approximation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:49:01.221391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.