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Paper Citation Record · LEDGER

LLMs meet Federated Learning for Scalable and Secure IoT Management

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.680230Z digest=sha256:8e554a945651960a30792e6a6abd8fa6531f02d5eabcce3c25675c67de50438b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.684375Z digest=sha256:d13d0a10c6007b73207534373a869bf4611bfed7fded686f13c3125e5c771875

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.688520Z digest=sha256:b430a55d8670aec5f29399a969b5d54d2d08b3896bab1a0d7ac6e41929fe4cc2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.692955Z digest=sha256:f1c05934fd8e4dbf10b539439ba5baa2f1cff1e54a20d2802dc2be9982fc22c3

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.697334Z digest=sha256:8b0079b4d20a6a279ed3a317f88b13849ed5f37e67d6d7d4f7e4e157cefdfd32

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.701341Z digest=sha256:801321bdad52688e252e51b875ea096890ebd957cb7cc1e2c9bf72b8a8d8ce95

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.705251Z digest=sha256:d4300c97b90c0289d28348b7fe3a5e34ec1df74def384d4f33b4721172349554

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=sha256:3137c52e0928766c9fd1581a648ad1e3d4ba5c0a858e88ad22e7192558afae60

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T11:15:15.711536Z digest=sha256:ceede1dbb647eff328e288e4c438599c9c4d2c06dbae2ee9a058e8db054de1ae

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:c8372797ccce24975dca082f8db5572cb51f64ab5f57d6e1d3f9aed56ac63367

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=sha256:5de2c281e1d9bbf5a416f92d0dd58d52be77ca2985a2fdbd6a98093aa6f2e9a5

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=sha256:15924df24c05c3d69a7e65b6e48612f1ba506b9dbba507ed73029a52d0f7cb73

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T18:49:01.097179Z digest=sha256:dda2300d462ca6d2116d3e33d0ab93a257cabc2b4f9e33329f5baeaf2764c849