Paper Citation Record · LEDGER

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2505.00240.

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

pith.paper-citation-record.v1
2505.00240 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:50:59.896557Z

measured 19 of 19 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:56.492399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T18:50:16.604061Z

Reference resolution

16 of 16 outbound references displayed

verified exact2
verified fuzzy9
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00c88c2c-69f8-40fc-b2d5-c91fb869df75 · outbound

This paper cites An advanced strategy for addressing heterogeneity in sdn-iot networks for ensuring qos,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems An advanced strategy for addressing heterogeneity in sdn-iot networks for ensuring qos,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.096659Z

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.

Observation c087b946-cffd-403d-941e-d38318345a9f · outbound

This paper cites Advancing iomt defenses: Deep collaborative learning for robust healthcare security,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Advancing iomt defenses: Deep collaborative learning for robust healthcare security,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.083657Z

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.

Observation 2b6ddda2-2e8d-4f44-80e4-03783a68c99d · outbound

This paper cites LLMs for Cyber Security: New Opportunities.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems LLMs for Cyber Security: New Opportunities

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:50:59.972319Z

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.

Observation d1bc6df8-b002-4b7f-8760-e0acc98d5f69 · outbound

This paper cites Learning graph structures with transformer for multivariate time-series anomaly detection in iot,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Learning graph structures with transformer for multivariate time-series anomaly detection in iot,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:50:59.853535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa859ac5-513c-4121-b7f6-8206eb4815e9 · outbound

This paper cites Efficient federated intrusion detection in 5g ecosystem using optimized bert-based model,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Efficient federated intrusion detection in 5g ecosystem using optimized bert-based model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.062533Z

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.

Observation 07e01cb0-c149-4220-8eb2-7650ce543032 · outbound

This paper cites AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:50:59.860709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908cf3a2-d015-4caf-93b6-c3e3bf74f9b2 · outbound

This paper cites Distributed threat intelligence at the edge devices: A large language model-driven approach,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Distributed threat intelligence at the edge devices: A large language model-driven approach,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:50:59.864721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8644e58a-60b5-44ab-9a06-f2b72e27ca4e · outbound

This paper cites A comparative analysis of anomaly detection methods in iot networks: An experimental study,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems A comparative analysis of anomaly detection methods in iot networks: An experimental study,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.046163Z

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.

Observation c73f0ef9-f303-4b73-bfed-e933dcd7eb1b · outbound

This paper cites Fast and effective intrusion detection using multi-layered deep learning networks,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Fast and effective intrusion detection using multi-layered deep learning networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.035432Z

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.

Observation 011aa8a5-b236-45fc-9242-1eabcfa07330 · outbound

This paper cites Utilising deep learning techniques for effective zero-day attack detection,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Utilising deep learning techniques for effective zero-day attack detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.024912Z

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.

Observation 91300661-ae20-46a5-af89-66f14e2db014 · outbound

This paper cites Appli- cation of deep reinforcement learning for intrusion detection in internet of things: A systematic review,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Appli- cation of deep reinforcement learning for intrusion detection in internet of things: A systematic review,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:51:00.005608Z

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.

Observation 39260d82-b304-44bc-8a72-f4250e0e2008 · outbound

This paper cites A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:50:59.948178Z

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.

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

This paper cites LLMs meet Federated Learning for Scalable and Secure IoT Management.

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.

Observation 23d4216c-3c6c-4472-9f9e-e08adc9164ac · outbound

This paper cites Iot-23: A labeled dataset with malicious and benign iot network traffic,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems Iot-23: A labeled dataset with malicious and benign iot network traffic,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:59.992916Z

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.

Observation ae00f71a-ff71-405d-a665-16dc03e9cab2 · outbound

This paper cites A new distributed architecture for evaluating ai-based security systems at the edge: Network ton iot datasets,.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems A new distributed architecture for evaluating ai-based security systems at the edge: Network ton iot datasets,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:50:59.982548Z

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.

Observation f02e720d-d04c-4092-a334-e6639bd32562 · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems TinyBERT: Distilling BERT for Natural Language Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:50:59.896557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 847e4680-d34e-44ba-97fa-3eb714906fca · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:56.492399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded2c9cd-b2cd-4912-9db2-e00f815cfb70 · 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 LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T18:50:16.606982Z

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.

Observation d5b394e5-c332-45bf-858e-dd1543e8a5c3 · inbound

Federated Learning and LLM-Driven Threat Intelligence for Zero Trust IoT Architecture cites this paper.

Federated Learning and LLM-Driven Threat Intelligence for Zero Trust IoT Architecture LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:37.801853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.