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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 8 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 2026-08-08T06:32:00.761636+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:a68e9d7a9e089c94ea31672bfafdfbbbca04b0ea342daf5fd49870ea9559e84e

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:e76e1db251e7061ad34c38f73ec5a59d5772e632153d9fe9151de7af3f1621d2

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

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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=sha256:6f3cc43dd3c97b06436dd0317445739924767b42c122b491c10593a84a32960a

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:a6aacd0893e8f9c7ade5f5017b5c09593d51ad6eb57c96f7c21d45f4d18ea5a0

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=sha256:75fbe6adde3ea1fd1cc3c70fe1ac7234c6618ff53945014965d73b102317bf0b

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=sha256:731292e6dd6927e4f6fe701f3bd1fb8292fee6bf805c3c614d9688b7dee6f014

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:dca08f26c4f573ce9a9a80cf923b9a1bd0673c27678ff042dc3283d89b034640

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:32fe5abd4ed91976e406d56df86d2707bcce14a6f6ea3f2416ee8c445b0fa7d9

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:a9252c196ba3808ff60e4d914874f920e36e883f93f21e5b951161d2cb9934d0

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=sha256:96c34b1aceb9ba7a1a76b9ee5e5c8b1844a010456f93abff8488fb5ac3c195a0

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=sha256:7bf1cd8b95fd1570d02cdb033b5fedc1b9d10c5eb90112f47616f5ff28514505

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=sha256:7467ec1bd043535d67b859fe20a4a8101478371b067bf2df5c7e85b701b34f25

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:dcd32b4a0edf4cec78f2f0ca6c198feb034d1cb01507c32233b86ffcc6dde043

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=sha256:922e14280d64ddb650a2a7ca55b2e938e5c2fd852bf83b3b7c59379f348fd6a2

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:fca4fc0933dfeff3f2bfb8cd5a599fb27dc1cbeb8e6a639763b86d786de00ecd

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:d44a019cc15fecb69996ec41aeff736d7eb09ede39fc6e7bb5607e7293786c2a

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:bbe6e21a3b9a4b03fe7ddc54d953aec260947fb51e762c86256782302aa07fff

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=sha256:9024e1af0f7375cfab74e838844fc13bcc0e5fceaefd23493b60d9397d6000cb

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=sha256:231e08aaf2e656b882006f255465e2d5a0f51ef64ae4b0eb1c3969d7cebb0462

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T06:28:09.498288Z digest=sha256:cab349a50de1f57e5e63d736f00a894a5d37018530852fa0045b15d6815b0989

Pith citing papers

No inbound Pith citation observations are available.