Paper Citation Record · LEDGER

Evaluating Language Models For Threat Detection in IoT Security Logs

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.02390.

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

pith.paper-citation-record.v1
2507.02390 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:44.183864Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:00:18.908449Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact2
verified fuzzy27
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5000411-e224-41b1-a025-789e82705f46 · outbound

This paper cites Detecting large-scale system problems by mining console logs,.

Evaluating Language Models For Threat Detection in IoT Security Logs Detecting large-scale system problems by mining console logs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.748922Z

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.

Observation b26cd5b6-6492-443e-b5cd-c96fcf346b42 · outbound

This paper cites Isolation forest,.

Evaluating Language Models For Threat Detection in IoT Security Logs Isolation forest,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.599633Z

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.

Observation 8e30620b-a020-4997-88da-f899c0f3d801 · outbound

This paper cites Anomaly intrusion detection using one class svm,.

Evaluating Language Models For Threat Detection in IoT Security Logs Anomaly intrusion detection using one class svm,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.457960Z

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.

Observation fe65ba14-3591-4fa5-ab17-fa1b21273505 · outbound

This paper cites LogGPT: Log anomaly detection via GPT,.

Evaluating Language Models For Threat Detection in IoT Security Logs LogGPT: Log anomaly detection via GPT,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.233111Z

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.

Observation 2f90fce9-e3eb-464c-8bb3-6c9a70ef6551 · outbound

This paper cites LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis.

Evaluating Language Models For Threat Detection in IoT Security Logs LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:36:44.834631Z

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.

Observation 839c1276-78cd-4a53-8d90-6272e1c631ab · outbound

This paper cites LLM-based event log analysis techniques: A survey.

Evaluating Language Models For Threat Detection in IoT Security Logs LLM-based event log analysis techniques: A survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:41.305365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78506fd-9a05-420d-9b16-b0a4456f5f7e · outbound

This paper cites Revolutionizing cyber threat detection with large language models: A privacy-preserving BERT-based lightweight model for IoT/IIoT devices,.

Evaluating Language Models For Threat Detection in IoT Security Logs Revolutionizing cyber threat detection with large language models: A privacy-preserving BERT-based lightweight model for IoT/IIoT devices,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:49.065654Z

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.

Observation 161679b0-9e1c-4b45-871a-702e1cff029c · outbound

This paper cites Ton_iot datasets,.

Evaluating Language Models For Threat Detection in IoT Security Logs Ton_iot datasets,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.869804Z

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.

Observation 95a88b7a-376f-4281-96b0-54f94b3e9189 · outbound

This paper cites Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset,.

Evaluating Language Models For Threat Detection in IoT Security Logs Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.624006Z

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.

Observation 5cac4261-838b-47e5-8a6c-df483bd0fb95 · outbound

This paper cites CLDTLog: System log anomaly detection method based on contrastive learning and dual objective tasks,.

Evaluating Language Models For Threat Detection in IoT Security Logs CLDTLog: System log anomaly detection method based on contrastive learning and dual objective tasks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.480245Z

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.

Observation facfb5a8-549e-42dc-89e9-194608fcf2a8 · outbound

This paper cites LogBERT: Log anomaly detection via BERT,.

Evaluating Language Models For Threat Detection in IoT Security Logs LogBERT: Log anomaly detection via BERT,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.279917Z

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.

Observation cc7d2938-a5bb-4611-868a-65b59f83cbaa · outbound

This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learning,.

Evaluating Language Models For Threat Detection in IoT Security Logs Deeplog: Anomaly detection and diagnosis from system logs through deep learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:41.653564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ffddb81-abde-4ca1-ac6e-da44cf163a6d · outbound

This paper cites Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs,.

Evaluating Language Models For Threat Detection in IoT Security Logs Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:48.102084Z

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.

Observation 1e3ff5df-3a01-4019-a4aa-be47212201bb · outbound

This paper cites What supercomputers say: A study of five system logs,.

Evaluating Language Models For Threat Detection in IoT Security Logs What supercomputers say: A study of five system logs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.866653Z

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.

Observation 6b296f71-0367-451a-b2c0-85c2980b4a33 · outbound

This paper cites LLM meets ML: Data-efficient anomaly detection on unseen unstable logs,.

Evaluating Language Models For Threat Detection in IoT Security Logs LLM meets ML: Data-efficient anomaly detection on unseen unstable logs,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-06T20:36:44.588954Z

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.

Observation e746778b-c455-47d0-926a-9861319f3386 · outbound

This paper cites Fine-tuning llms vs non-generative machine learning models: A comparative study of malware detection,.

Evaluating Language Models For Threat Detection in IoT Security Logs Fine-tuning llms vs non-generative machine learning models: A comparative study of malware detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.665627Z

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.

Observation 5e1e4a8c-2474-41c6-9867-c42d5a964a52 · outbound

This paper cites Iot-23 dataset,.

Evaluating Language Models For Threat Detection in IoT Security Logs Iot-23 dataset,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.411649Z

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.

Observation 8b1b4648-a00b-413e-aff2-58919ef42680 · outbound

This paper cites Cic datasets,.

Evaluating Language Models For Threat Detection in IoT Security Logs Cic datasets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.218278Z

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.

Observation ebee275d-8799-4c2d-ae84-77cabdb32026 · outbound

This paper cites Rt-iot 2022: Real-time internet of things dataset,.

Evaluating Language Models For Threat Detection in IoT Security Logs Rt-iot 2022: Real-time internet of things dataset,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:47.005416Z

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.

Observation 2053af5c-ffc7-465e-9115-5aa58c25cb4b · outbound

This paper cites Edge-iiotset: Cyber security dataset of iot & iiot,.

Evaluating Language Models For Threat Detection in IoT Security Logs Edge-iiotset: Cyber security dataset of iot & iiot,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.802639Z

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.

Observation 804ac058-5ce9-4bdc-9a6f-02a9fcdf47ce · outbound

This paper cites Application of large language models to DDoS attack detection,.

Evaluating Language Models For Threat Detection in IoT Security Logs Application of large language models to DDoS attack detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.675541Z

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.

Observation 4d806028-10c0-4cbc-a2a4-e58cb3105992 · outbound

This paper cites HackMentor: Fine-tuning large language models for cybersecurity,.

Evaluating Language Models For Threat Detection in IoT Security Logs HackMentor: Fine-tuning large language models for cybersecurity,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.528439Z

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.

Observation 8619a6d1-3c12-4591-b458-4c612d58c4ea · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Evaluating Language Models For Threat Detection in IoT Security Logs LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:42.538502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f00f0a-0c63-4ec8-9887-2fd639ad6883 · outbound

This paper cites LLM4itd: Insider threat detection with fine-tuned large language models,.

Evaluating Language Models For Threat Detection in IoT Security Logs LLM4itd: Insider threat detection with fine-tuned large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.310273Z

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.

Observation a13e63dd-a8c5-4588-a519-16db4fbac606 · outbound

This paper cites Building cyber language models to unlock new cybersecurity capabilities.

Evaluating Language Models For Threat Detection in IoT Security Logs Building cyber language models to unlock new cybersecurity capabilities

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.197065Z

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.

Observation 6c581a9e-7bd8-4eb8-9e18-f4cbe19b6c6b · outbound

This paper cites Benchmarking large language models for log analysis, security, and interpretation,.

Evaluating Language Models For Threat Detection in IoT Security Logs Benchmarking large language models for log analysis, security, and interpretation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:42.803180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a48b6389-5cfe-4fa4-a36e-58a8dcaa2a18 · outbound

This paper cites Building a dynamic parserless network log and security alert platform with LLM and pydantic.

Evaluating Language Models For Threat Detection in IoT Security Logs Building a dynamic parserless network log and security alert platform with LLM and pydantic

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:46.066425Z

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.

Observation 57fc48e7-ff51-4d07-a978-add433d28ae1 · outbound

This paper cites Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models.

Evaluating Language Models For Threat Detection in IoT Security Logs Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:42.968855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57d888a-8d14-4880-b2ca-167ff14526ff · outbound

This paper cites RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises.

Evaluating Language Models For Threat Detection in IoT Security Logs RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:43.014195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09e6250-abde-43ef-95c0-9d1f3cfa3827 · outbound

This paper cites LogPrécis: Unleashing language models for automated malicious log analysis: Précis: A concise summary of essential points, statements, or facts,.

Evaluating Language Models For Threat Detection in IoT Security Logs LogPrécis: Unleashing language models for automated malicious log analysis: Précis: A concise summary of essential points, statements, or facts,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:45.892751Z

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.

Observation 256e022e-133f-439c-9977-4d49d4711e04 · outbound

This paper cites Mitre att&ck labeling of cyber threat intelligence via llm,.

Evaluating Language Models For Threat Detection in IoT Security Logs Mitre att&ck labeling of cyber threat intelligence via llm,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:45.740852Z

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.

Observation 19f47f58-8d14-491a-844a-74be582f1cdd · outbound

This paper cites When llms meet cybersecurity: A systematic literature review,.

Evaluating Language Models For Threat Detection in IoT Security Logs When llms meet cybersecurity: A systematic literature review,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:36:43.401357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 966cee1a-6967-4fb9-91eb-d2151d3b500d · outbound

This paper cites Capec: Common attack pattern enumeration and classification,.

Evaluating Language Models For Threat Detection in IoT Security Logs Capec: Common attack pattern enumeration and classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:45.648027Z

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.

Observation 0f25ab64-cc9f-4701-a904-4532cf06a5a7 · outbound

This paper cites Transformers: State-of-the-art machine learning for pytorch, tensorflow, and jax,.

Evaluating Language Models For Threat Detection in IoT Security Logs Transformers: State-of-the-art machine learning for pytorch, tensorflow, and jax,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:45.560297Z

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.

Observation bf186444-148f-4f26-9143-29b2f2c6d492 · outbound

This paper cites Unsloth,.

Evaluating Language Models For Threat Detection in IoT Security Logs Unsloth,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:45.375590Z

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.

Observation e00e4e78-330b-478e-bdb9-54ecaf1ce523 · outbound

This paper cites Deepseek,.

Evaluating Language Models For Threat Detection in IoT Security Logs Deepseek,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:36:45.287061Z

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.

Observation 41a52390-29b2-4cd1-84c1-a9596823626b · outbound

This paper cites an unresolved cited work.

Evaluating Language Models For Threat Detection in IoT Security Logs Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:36:45.187745Z

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.

Observation 9b37c21b-cf99-4c76-bbca-82d2b3ffcfed · outbound

This paper cites an unresolved cited work.

Evaluating Language Models For Threat Detection in IoT Security Logs Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:36:45.046496Z

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.

Pith citing papers

Observation 10bfe175-6308-4cfd-a4b6-cba4d8b76f50 · inbound

Just Testing, Move Along: Evasion of LLM-based System Log Interpretation by Prompt Injection cites this paper.

Just Testing, Move Along: Evasion of LLM-based System Log Interpretation by Prompt Injection Evaluating Language Models For Threat Detection in IoT Security Logs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-31T22:00:18.908449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.