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Paper Citation Record · LEDGER

LLMs meet Federated Learning for Scalable and Secure IoT Management

As of 24 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2504.16032.

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

pith.paper-citation-record.v1
2504.16032 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:15:15.717781Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:50:59.885841Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T18:50:16.613976Z

Reference resolution

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 630ef081-8f28-4e56-bc4b-96a2d46fea71 · outbound

This paper cites an unresolved cited work.

LLMs meet Federated Learning for Scalable and Secure IoT Management Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:15:15.912542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.680230Z digest=sha256:fb1cbc1aa126132459c4a05c76aa7f01afe6573446c30fbeb1a2517af261840c

Observation 0ca1e3e0-0468-4f1f-929f-b61b9e4649e1 · outbound

This paper cites Nazari Jahantigh, A.

LLMs meet Federated Learning for Scalable and Secure IoT Management Nazari Jahantigh, A

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:15:15.901032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.684375Z digest=sha256:60ca3b21cc314c37717232104264cb6f85469bae13f6102e2eb5ab3a53724b89

Observation 272c4729-7d4b-445b-8298-65866a5be4e1 · outbound

This paper cites Edge, Fog, and Cloud Computing : An Overview on Challenges and Applications.

LLMs meet Federated Learning for Scalable and Secure IoT Management Edge, Fog, and Cloud Computing : An Overview on Challenges and Applications

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:15:15.840410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.688520Z digest=sha256:04d6f978f7e466a8e3e3f341ef9a8530ff7e38994661a52429a4c83f40ff17c8

Observation 5e36dc59-a4ad-4f9e-b277-abe6c453fbc6 · outbound

This paper cites Otoum, P.

LLMs meet Federated Learning for Scalable and Secure IoT Management Otoum, P

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:15:15.890466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.692955Z digest=sha256:27e5506891efe152de7d573383bd3862900ce1893164f23300bd9b7de283bcf6

Observation 6aa353df-2983-4940-a0ee-93bd5ae9b0d5 · outbound

This paper cites an unresolved cited work.

LLMs meet Federated Learning for Scalable and Secure IoT Management Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:15:15.880145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.697334Z digest=sha256:82ecbe6cfed1e2516fa9e34c00d8c4244dd696cfbbdbf86a7c13365195ddc356

Observation 4f961c45-4528-4308-9171-15ee0760f52c · outbound

This paper cites Energy-Aware LLMs: A step towards sustainable AI for downstream applications.

LLMs meet Federated Learning for Scalable and Secure IoT Management Energy-Aware LLMs: A step towards sustainable AI for downstream applications

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-16T11:15:15.826219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.701341Z digest=sha256:ede3116418f67dfbf1ffb63a5337d72ac75f6a983730255acadcaaa6cc8069f7

Observation 4ea1910b-6398-46c4-a9e0-870c6d805923 · outbound

This paper cites Kairouz, H.

LLMs meet Federated Learning for Scalable and Secure IoT Management Kairouz, H

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:15:15.868611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.705251Z digest=sha256:1d7eed2ae08548392474a65eee2f040ff3026aa0817476754e92841ea17139fe

Observation 2680e1b1-0b6b-47cb-b47e-b2081cfe503d · outbound

This paper cites an unresolved cited work.

LLMs meet Federated Learning for Scalable and Secure IoT Management Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T11:15:15.708405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:15:15.708405Z digest=sha256:4270ee57c826f8fa575d24a886b73c456944d7cc284b8d2b9827d26a4422787c

Observation 7446510c-b4a6-4381-a289-b369f58a7215 · outbound

This paper cites an unresolved cited work.

LLMs meet Federated Learning for Scalable and Secure IoT Management Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:15:15.857986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.711536Z digest=sha256:134b434413d676b401cee4e3603a9be5734b4158c0c1e139d565df4e9580e19d

Observation e0fcde83-a70b-45dd-8ce9-4c67521f4972 · outbound

This paper cites OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.

LLMs meet Federated Learning for Scalable and Secure IoT Management OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:15:15.714473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:15:15.714473Z digest=sha256:e7c06e8823b379c62e74f6699e21fe8d895296db6631d017b0cb3288bb42892b

Observation cb5854b7-bea3-43b6-a354-ba7c872bf93c · outbound

This paper cites Kopka and P.

LLMs meet Federated Learning for Scalable and Secure IoT Management Kopka and P

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T11:15:15.717781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:15:15.717781Z digest=sha256:6fc4611d3b182670bf2b3f832f587ceee5a885a68cdefed1c1980d9228507058

Pith citing papers

Observation c20ac766-869d-4408-b7e9-7a13c670e852 · inbound

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems cites this paper.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems LLMs meet Federated Learning for Scalable and Secure IoT Management

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T04:50:59.885841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:50:59.885841Z digest=sha256:f89879e249b48ee833658f74be31df989cbe1829ff9d0793bb11a7a70449c367

Observation 5bc080d1-b0e0-47a8-ae60-381aba7ab54c · inbound

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.

Sustainable Code Generation Using Large Language Models: A Systematic Literature Review LLMs meet Federated Learning for Scalable and Secure IoT Management

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:50:16.617559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T18:49:01.097179Z digest=sha256:4a64731cb627f4556b90fb4a05a3f423c8ee6b9cd2cb832aca52069ae6670ece