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Paper Citation Record · LEDGER

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.00134.

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

pith.paper-citation-record.v1
2606.00134 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T06:28:09.498288Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4a18275-d1f1-466c-873a-1ab1ca644f92 · outbound

This paper cites Amarasinghe et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Amarasinghe et al

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:50416d4f60360f6d54d13d62a4481023411fad3b3da15fd898c5bd45b84cb411

Observation 53ed1bcf-9ace-405b-89c2-7ebd22dea89a · outbound

This paper cites an unresolved cited work.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:aa1dfda586fcb8bf296f48329638bab7914b20be8df8c59ec99549a30d1b89b2

Observation 457de28b-0e7d-4df4-9f3d-cc0a5fe794c0 · outbound

This paper cites Classification of iot based ddos attack using machine learning techniques.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Classification of iot based ddos attack using machine learning techniques

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:085ab2fb596e513708bae59f8e0eb69af746145154c2cbf3cec677cb68dc4041

Observation f86bbe70-3faa-4f5e-9662-2e545d2ba514 · outbound

This paper cites an unresolved cited work.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:d88438fdcf92a8eb5ede86db9de9a8d48d00cc464a5f855653f01cea95d9b7b6

Observation b8d20017-c5de-48c6-b318-472ac4ee8840 · outbound

This paper cites Fallah, A.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Fallah, A

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:cf896290addaae68085a7e08ae17d9530d3c212f1a5385b81c9ad761aa123090

Observation 0742e316-3883-404d-b545-d60f513819f6 · outbound

This paper cites Hu et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Hu et al

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:484c5b22cbda43c7a19a45c6b46d9fa2c648f0861f6619bb30bbb6543b6ed564

Observation 0b1bcb2a-839e-4a9e-ace8-079b66662d31 · outbound

This paper cites Kairouz et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Kairouz et al

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:553d4560f772323da274d36710d2b785b8b7bb012467ef0b9265c6c72870ba34

Observation ff2fda8f-afb6-414b-9ecf-99b23c221a25 · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Federated Optimization in Heterogeneous Networks

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T06:33:12.201931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:ed903886ef4a1b924b11eb8cbb2a65b3a2c02fadf5789dc941512397280a4e36

Observation c4a05226-cedb-4602-95db-618de59afe34 · outbound

This paper cites Li et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Li et al

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:de19d6bf4f7a418dd777abf9baef6750b8531731b803c44055e832188e8c490b

Observation a6654653-89cb-4956-8412-af942dae3a5a · outbound

This paper cites Lu et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Lu et al

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:1e1af35f0af954c167c51c6f3120c6b3495ac586201c87639498f75200ed5674

Observation 2736eb99-c607-4ae2-9816-60209199935c · outbound

This paper cites an unresolved cited work.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:15896da6fd6a67d89a22126630289cb76bb0376b52830fefd7fa007a8345582f

Observation 7027e0ea-4d0d-4598-b5bc-6893db305efa · outbound

This paper cites Marino et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Marino et al

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:66b2b18c726e95b8dd96b6533893591818ecdc2dda949b99d6e1c8f14b504a30

Observation 9ccc7ed9-656f-4627-8717-1dea9c1f6b79 · outbound

This paper cites an unresolved cited work.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:85e40042021b9605d944d6e4d8d93171646032cf0b65603c85ce4084c4c59e34

Observation 07c5049b-5c5c-40c4-93d6-2d8028e28b1d · outbound

This paper cites Threat intelligence report.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Threat intelligence report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:1d774568a63e645ce18557276c04881f4c8192526126439ec42c56bc299bd729

Observation 601671fb-3427-49c9-8ef9-c2b835241d32 · outbound

This paper cites Snoek, H.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Snoek, H

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:9f19d00c57364a508c0fe9b96a27a8fcd77525af5afd21b2227efc1a3fbd37ed

Observation 3b91573d-a9b3-4532-a6b2-103ef1886cb7 · outbound

This paper cites Internet of things (iot) market size worldwide 2017–2032, 2024.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Internet of things (iot) market size worldwide 2017–2032, 2024

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:727ee584c4585e571d0ae19e42e93231d86ed0cf55eb4f4be2f1797898cd11db

Observation 6d18ad4b-f583-45dc-8b12-c31b031a6190 · outbound

This paper cites Wang et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Wang et al

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:5bce2076e7ae20464dca485af8ed5a4b205fd96c5c0fe5feb2427324d3f6c563

Observation d2c8aaab-80bc-4b5d-995c-b29777a3853f · outbound

This paper cites Yang et al.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Yang et al

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:9bf72f62421fe209b070386e0b900ea22180a579a7fe653c8bf2ef18e9825f2e

Observation 9835f38e-19d3-4e31-baf0-589262f0465b · outbound

This paper cites Zeeshan, Q.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Zeeshan, Q

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-29T06:28:09.498288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:83a5f9e30e52b95d72f90ca46141b18c1f2ae582cd3bf71d2419065cf613da6a

Observation deff5139-4541-42c3-af1a-536011168158 · outbound

This paper cites Federated Learning with Non-IID Data.

XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT Federated Learning with Non-IID Data

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-29T06:33:12.204197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:ec829ab47eaa35923e8b18db7d859608e340cb43dc0dd1fa88622ed030e6728c

Pith citing papers

No inbound Pith citation observations are available.