LLM4Log: A Systematic Review of Large Language Model-based Log Analysis | Paper Citation Record

Observation da8b604b-3d11-4d47-9f68-aca2136838d1 · outbound

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

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LLM-based event log analysis techniques: A survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.638389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e3ab821-7784-4055-8691-96a122501525 · outbound

This paper cites Logfit: Log anomaly detection using fine-tuned language models.IEEE Transactions on Network and Service Management, 21(2):1715–1723.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Logfit: Log anomaly detection using fine-tuned language models.IEEE Transactions on Network and Service Management, 21(2):1715–1723

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.232724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 508e598c-3e6f-47bc-8e43-3a39ae50884f · outbound

This paper cites Apache log4j 2.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Apache log4j 2

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.237740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c222c419-9c99-4e0e-87f9-2047246875f1 · outbound

This paper cites A comparative study on large language models for log parsing.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis A comparative study on large language models for log parsing

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.212456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cf0ef1b-39b9-41b9-88e4-3cf6e9d98ab9 · outbound

This paper cites AnomalyExplainerBot: Explainable AI for LLM-based anomaly detection using BERTViz & Captum.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis AnomalyExplainerBot: Explainable AI for LLM-based anomaly detection using BERTViz & Captum

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.239909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7cbfb49f-2aac-4aa6-b051-47a19c9d422a · outbound

This paper cites System Log Parsing with Large Language Models: A Review.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis System Log Parsing with Large Language Models: A Review

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.612413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a0b90f9-8187-4032-8c8d-ebaeb2af33cb · outbound

This paper cites APT-LLM: Embedding-based anomaly detection of cyber advanced persistent threats using large language models.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis APT-LLM: Embedding-based anomaly detection of cyber advanced persistent threats using large language models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.237110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb233896-fcc1-4d90-ae96-c67ecc7e0d3c · outbound

This paper cites Learning long-term dependencies with gradient descent is difficult.IEEE Transactions on Neural Networks, 5(2):157–166.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Learning long-term dependencies with gradient descent is difficult.IEEE Transactions on Neural Networks, 5(2):157–166

Reference 8

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.150671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T17:38:12.039605+00:00.

Observation 3a72d574-046e-4823-8699-bc13be53902b · outbound

This paper cites Auto-logging: Ai-centred logging instrumentation.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Auto-logging: Ai-centred logging instrumentation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.160042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e5f66613-8484-47fd-918b-bc8b16acef50 · outbound

This paper cites Good Enough to Learn: LLM-based Anomaly Detection in ECU Logs without Reliable Labels.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Good Enough to Learn: LLM-based Anomaly Detection in ECU Logs without Reliable Labels

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.558724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 423558af-4943-4862-9006-bd5c59ab3311 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis On the Opportunities and Risks of Foundation Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:06.542310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 458e697f-aa88-4027-a1ca-f95e81fd771e · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33: 1877–1901.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Language models are few-shot learners.Advances in neural information processing systems, 33: 1877–1901

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.233998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6af17e9a-56f5-4d36-befd-1f4caa065b91 · outbound

This paper cites Extracting training data from large language models.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Extracting training data from large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.237950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c79fe7e-03f3-4ce3-999a-687ade40331a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Evaluating Large Language Models Trained on Code

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:04:06.500338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b65c1389-856c-4112-b960-6bfe16269067 · outbound

This paper cites Bert-log: Anomaly detection for system logs based on pre-trained language model.Applied Artificial Intelligence, 36(1):2145642.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Bert-log: Anomaly detection for system logs based on pre-trained language model.Applied Artificial Intelligence, 36(1):2145642

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.110004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58a2c5af-4d07-4690-9677-5985445b2f1a · outbound

This paper cites Epas: Efficient online log parsing via asynchronous scheduling of llm queries.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Epas: Efficient online log parsing via asynchronous scheduling of llm queries

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.071418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 634d954f-6374-41ea-bde6-e3c775500698 · outbound

This paper cites Automatic root cause analysis via large language models for cloud incidents.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Automatic root cause analysis via large language models for cloud incidents

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.214830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4544fca4-2fad-4968-9f7a-48a6db5589cc · outbound

This paper cites Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.216925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 336f79a2-ab47-493a-acf1-06cb1831e7a7 · outbound

This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:04:06.618400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 438ee1bb-0569-4579-9c30-5998a167f30b · outbound

This paper cites Semantic hierarchical classification applied to anomaly detection using system logs with a bert model.Applied Sciences, 14(13).

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Semantic hierarchical classification applied to anomaly detection using system logs with a bert model.Applied Sciences, 14(13)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.223420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 20d8118a-141e-4019-a400-82a0e4a2e2e2 · outbound

This paper cites Aetherlog: Log-based root cause analysis by integrating large language models with knowledge graphs.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Aetherlog: Log-based root cause analysis by integrating large language models with knowledge graphs

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.206297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9177454d-aa16-4ef8-a856-0a22220f0668 · outbound

This paper cites Logeval: A comprehensive benchmark suite for llms in log analysis.Empirical Softw.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Logeval: A comprehensive benchmark suite for llms in log analysis.Empirical Softw

Reference 22

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.097959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f6f5634-3b54-437a-8f9c-0f0c722d2bed · outbound

This paper cites Logram: Efficient log parsing using𝑛 n-gram dictionaries.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Logram: Efficient log parsing using𝑛 n-gram dictionaries

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.208457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29b71eb3-a492-47b8-843e-43561fab7582 · outbound

This paper cites loguru: Python logging made simple.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis loguru: Python logging made simple

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.225479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f3810c8-43a0-41ba-99aa-8fcafa5d4777 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis QLoRA: Efficient Finetuning of Quantized LLMs

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:04:06.520192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e130fd24-0989-4b86-b451-93b7bccfa2f5 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.186393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb5fe252-7f71-4a26-bfb7-9d4a7dec2a3a · outbound

This paper cites PDLogger: Automated Logging Framework for Practical Software Development.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis PDLogger: Automated Logging Framework for Practical Software Development

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.536388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 644bdfef-9b0f-4586-8dae-6dc21fcbdf29 · outbound

This paper cites Unsupervised log parsing based on large language models and entropy.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unsupervised log parsing based on large language models and entropy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.188289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0752ed0-7bab-4385-bf7b-8f1ce247e7fa · outbound

This paper cites Early exploration of using ChatGPT for log-based anomaly detection on parallel file systems logs.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Early exploration of using ChatGPT for log-based anomaly detection on parallel file systems logs

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.222631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf47dc46-a77d-4468-b8b7-13f73a38adb3 · outbound

This paper cites Insightai: Root cause analysis in large log files with private data using large language model.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Insightai: Root cause analysis in large log files with private data using large language model

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.245758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5a0c12a-a95e-4c20-959b-74008b2a6799 · outbound

This paper cites A novel framework for detecting anomalies in network security using LLM and deep learning.Journal of Electrical Systems, 21(1s):294–302.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis A novel framework for detecting anomalies in network security using LLM and deep learning.Journal of Electrical Systems, 21(1s):294–302

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.195743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abcdbef1-f20d-4118-9480-6502a654c855 · outbound

This paper cites How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings

Reference 32

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.197849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bdbe9fd7-4c91-4cb1-82b9-f8cc1c371792 · outbound

This paper cites Regulation (eu) 2016/679 of the european parliament and of the council (general data protection regulation).

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Regulation (eu) 2016/679 of the european parliament and of the council (general data protection regulation)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.178415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a159fd5-1021-41e6-ac84-50ef137e48e0 · outbound

This paper cites Log anomaly detection by leveraging llm-based parsing and embedding with attention mechanism.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Log anomaly detection by leveraging llm-based parsing and embedding with attention mechanism

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.182434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d1f0628-1891-445e-84bf-9cf9a5239746 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Codebert: A pre-trained model for programming and natural languages

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.176472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31671c6c-57ab-4cd0-8830-429de56776dc · outbound

This paper cites Security and privacy controls for information systems and organizations (nist special publication 800-53 revision 5).

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Security and privacy controls for information systems and organizations (nist special publication 800-53 revision 5)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.091229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a30ce97-d5a4-4365-8778-631a01d1672d · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-21T10:04:07.159036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca41b0f4-d2a5-466a-beeb-f4dc2fa17ad2 · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-21T10:04:07.163440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19e1a6d2-0145-4a98-81c0-8ff331cc096c · outbound

This paper cites Where do developers log? an empirical study on logging practices in industry.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Where do developers log? an empirical study on logging practices in industry

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.249309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9f339d6b-34c5-4118-ad86-54046b62f78d · outbound

This paper cites End-to-end log statement generation at block-level.Journal of Systems and Software, 216:112146.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis End-to-end log statement generation at block-level.Journal of Systems and Software, 216:112146

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.183887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3562643-aee0-43ad-a5a5-49f5e9630377 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:04:06.483193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2e16ed9-e0c9-41f0-a31c-0a2a12461165 · outbound

This paper cites LogLLM: Log-based anomaly detection using large language models.arXiv preprint.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LogLLM: Log-based anomaly detection using large language models.arXiv preprint

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.150077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc0df02b-6b9e-4c27-b44d-1789ef56757d · outbound

This paper cites LogLLM: Log-based Anomaly Detection Using Large Language Models.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LogLLM: Log-based Anomaly Detection Using Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.513284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 533a4e44-d705-48e7-a363-67a6f265367e · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-05-21T10:04:07.165305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d0ed140-160a-4403-b46f-ee5d379016e5 · outbound

This paper cites Logformer: A pre-train and tuning pipeline for log anomaly detection.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Logformer: A pre-train and tuning pipeline for log anomaly detection

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.169570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 436f29d5-8a35-4806-9753-7b1821d3b391 · outbound

This paper cites Owl: A large language model for it operations.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Owl: A large language model for it operations

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.140600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1a6efc8-6621-4bd2-bad2-b7adf183d55d · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-21T10:04:07.153952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11580908-7fc2-4b81-8fd4-6f361f97d771 · outbound

This paper cites Llm meets ml: Data-efficient anomaly detection on unstable logs.ACM Transactions on Software Engineering and Methodology.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Llm meets ml: Data-efficient anomaly detection on unstable logs.ACM Transactions on Software Engineering and Methodology

Reference 48

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.175202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d60864c1-e6f0-44c2-a4ae-ab542c1bb589 · outbound

This paper cites Llmelog: An approach for anomaly detection based on llm-enriched log events.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Llmelog: An approach for anomaly detection based on llm-enriched log events

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.206549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d29902ee-c3f7-4675-a8cb-d68e5031eea7 · outbound

This paper cites Carlos E.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Carlos E

Reference 50

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.120467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31c32a9a-367b-4574-b50b-cbc6b4000608 · outbound

This paper cites A survey on automated log analysis for reliability engineering.ACM computing surveys (CSUR), 54(6):1–37.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis A survey on automated log analysis for reliability engineering.ACM computing surveys (CSUR), 54(6):1–37

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.360470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec407174-d31b-428f-ad9e-a9344d7dc79a · outbound

This paper cites Parameter-efficient log anomaly detection based on pre-training model and lora.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Parameter-efficient log anomaly detection based on pre-training model and lora

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.388512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1628451-d8ee-427a-afa1-93890d16725f · outbound

This paper cites Benchmarking open-source large language models for log level suggestion.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Benchmarking open-source large language models for log level suggestion

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.065882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be8a7f1a-1362-4d3e-9d0e-218a6a0f90c4 · outbound

This paper cites Diagnosing robotics systems issues with large language models–a case study.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Diagnosing robotics systems issues with large language models–a case study

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.252690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d05c716c-1c74-43e1-86cb-3f2d95ea98d4 · outbound

This paper cites Long short-term memory.Neural Computation, 9(8):1735–1780.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Long short-term memory.Neural Computation, 9(8):1735–1780

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.257294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c9b0dce3-1c7f-4e16-8e73-247c9c7338fa · outbound

This paper cites Reguly, Kálmán Tornai, Tamás Zsedrovits, and Zoltán Máthé.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Reguly, Kálmán Tornai, Tamás Zsedrovits, and Zoltán Máthé

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.141927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7cd549a6-fa5a-4c75-9b73-392a56e1afa2 · outbound

This paper cites Research on log anomaly detection based on sentence-BERT.Electronics, 12(17):3580.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Research on log anomaly detection based on sentence-BERT.Electronics, 12(17):3580

Reference 57

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.095603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38740e7c-9aa1-422d-89f7-ae50937008a6 · outbound

This paper cites Demystifying and extracting fault-indicating information from logs for failure diagnosis.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Demystifying and extracting fault-indicating information from logs for failure diagnosis

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.248100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b79243e-c165-4933-9b9b-04dfbb260389 · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 59

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.050161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3813a6b-b3ff-40ab-9f2e-ddda537bd673 · outbound

This paper cites Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.593741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cab20d1a-0484-4a43-9b2c-472a35beafd3 · outbound

This paper cites SAMBA: Sparsity Aware In -Memory Computing Based Machine Learning Accelerator.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis SAMBA: Sparsity Aware In -Memory Computing Based Machine Learning Accelerator

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.190166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e143984-accd-468c-8ed8-2b1fbf819349 · outbound

This paper cites LogRules: Enhancing log analysis capability of large language models through rules.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LogRules: Enhancing log analysis capability of large language models through rules

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.242171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3b36013-0dcb-406a-9686-295d8b96baa9 · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.561901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8acd8a82-283e-4dc6-badb-aac6f2caadac · outbound

This paper cites EvLog: Identifying Anomalous Logs over Software Evolution.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis EvLog: Identifying Anomalous Logs over Software Evolution

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.574465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb877197-62c9-44e9-a8a2-62bd6f851d1b · outbound

This paper cites Fall: Prior failure detection in large scale system based on language model.IEEE Transactions on Dependable and Secure Computing, 22(1):279–291.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Fall: Prior failure detection in large scale system based on language model.IEEE Transactions on Dependable and Secure Computing, 22(1):279–291

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.163412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 093dad87-3d63-4d97-8247-e7b3df2eda0e · outbound

This paper cites Lemad: LLM-empowered multi-agent system for anomaly detection in power grid services.Electronics, 14(15):3008.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Lemad: LLM-empowered multi-agent system for anomaly detection in power grid services.Electronics, 14(15):3008

Reference 66

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.180807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df8adfdf-c127-4264-842a-d70cb49a3eff · outbound

This paper cites Adapting large language models to log analysis with interpretable domain knowledge.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Adapting large language models to log analysis with interpretable domain knowledge

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.167056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4fa64f15-0061-4af6-a810-87fd0a2f4c2e · outbound

This paper cites Inexact Online Proximal Mirror Descent for time-varying composite optimization.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Inexact Online Proximal Mirror Descent for time-varying composite optimization

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.549215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed4ea2b6-e602-4ca1-994e-94452baa66af · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 69

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.062869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3edf1891-3826-40ef-a7fc-bc0b16402983 · outbound

This paper cites Language Models (Mostly) Know What They Know.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Language Models (Mostly) Know What They Know

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:04:06.555671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf975191-c620-4724-bc0e-4233bccace21 · outbound

This paper cites Scaling Laws for Neural Language Models.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Scaling Laws for Neural Language Models

Reference 71

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:06.538755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af5d180a-a17f-4f30-9413-ff71a4222227 · outbound

This paper cites Exploring semantic vs.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Exploring semantic vs

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.185701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1500d06-aaf8-4251-a2f4-fd42ab296ebf · outbound

This paper cites Benchmarking large language models for log analysis, security, and interpretation.Journal of Network and Systems Management, 32:59.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Benchmarking large language models for log analysis, security, and interpretation.Journal of Network and Systems Management, 32:59

Reference 73

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.169578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4e03a6f-354d-4889-9ce4-237c55d2caa0 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Dense passage retrieval for open-domain question answering

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.220514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6caedd22-5b22-42fa-8c06-ebc1472ba0d3 · outbound

This paper cites Nist special publication 800-92: Guide to computer security log management.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Nist special publication 800-92: Guide to computer security log management

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.215715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aab8f9d8-23f9-4619-9387-44ac1252c401 · outbound

This paper cites Log-based anomaly detection without log parsing.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Log-based anomaly detection without log parsing

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.218051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d047f95-f9a0-4155-8cf2-ded74de78160 · outbound

This paper cites In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.615573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f39bf83f-7ec3-404a-987e-dd96589570a1 · outbound

This paper cites In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.201541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0e82d5f-a0a4-43e3-8149-e878b35df980 · outbound

This paper cites Prelog: A pre-trained model for log analytics.Proceedings of the ACM on Management of Data, 2(3): 1–28.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Prelog: A pre-trained model for log analytics.Proceedings of the ACM on Management of Data, 2(3): 1–28

Reference 79

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.079944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation afd0a8b7-f497-485f-97ba-ccfa550d231f · outbound

This paper cites Unleashing the true potential of semantic-based log parsing with pre-trained language models.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unleashing the true potential of semantic-based log parsing with pre-trained language models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.235422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b4bfa45-a5b4-4025-97a4-11e8267ab7b4 · outbound

This paper cites Logresp-agent: A recursive ai framework for context-aware log anomaly detection and ttp analysis.Applied Sciences, 15(13).

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Logresp-agent: A recursive ai framework for context-aware log anomaly detection and ttp analysis.Applied Sciences, 15(13)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.380056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f484b1e-ae82-4f4e-a00f-492b7a3abc91 · outbound

This paper cites LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.521761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b00bdb48-a51d-4716-914c-b141f285a0a2 · outbound

This paper cites Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.213347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34238eee-d9a0-4373-9e13-6e513b3f95c4 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 84

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:04:06.475669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d398664b-06be-41fd-8c04-1773e1f66a7d · outbound

This paper cites Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Swisslog: Robust and unified deep learning based log anomaly detection for diverse faults

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.200299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e4622e5-338a-406a-9969-329fb37e8f2c · outbound

This paper cites AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.580488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30531f39-9fe1-4ccf-86aa-d8d28e9ca074 · outbound

This paper cites Exploring the effectiveness of llms in automated logging statement generation: An empirical study.IEEE Transactions on Software Engineering.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Exploring the effectiveness of llms in automated logging statement generation: An empirical study.IEEE Transactions on Software Engineering

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.197936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a2583b4-7311-47d6-9d14-b1bbaba5c1ca · outbound

This paper cites an unresolved cited work.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Unresolved cited work

Reference 88

Resolution: verified exact; doi, observed 2026-05-21T10:04:06.144298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e79d8d5e-253b-489b-aeed-b9e58faceb11 · outbound

This paper cites Automated proactive logging quality improvement for large-scale codebases.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Automated proactive logging quality improvement for large-scale codebases

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.202381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e58df054-840a-4933-b741-4969405434d4 · outbound

This paper cites COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.600655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6979ef23-ece1-434b-8537-3dc31e75e076 · outbound

This paper cites Deeplv: Suggesting log levels using ordinal based neural networks.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Deeplv: Suggesting log levels using ordinal based neural networks

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.188609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3c0f471-1c23-48bf-8f4f-787844447eef · outbound

This paper cites Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.131967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a34fa333-4e8b-4d1d-8985-31e23e045735 · outbound

This paper cites Detecting and explaining anomalies caused by web tamper attacks via building consistency-based normality.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Detecting and explaining anomalies caused by web tamper attacks via building consistency-based normality

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.182929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 250979ee-92c6-4b3f-9ee7-2bbe5900fc59 · outbound

This paper cites Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.507801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd88f5b3-39c3-41d8-88ee-da42adcaff94 · outbound

This paper cites Deng, and X.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Deng, and X

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.184671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb649b42-733f-457b-a245-8f06de766e26 · outbound

This paper cites FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:06.509904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 94dab160-5884-4d66-ab63-2d50280e35c1 · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 97

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.583829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 555f28d8-7775-4c03-a5b5-e05d2e38821e · outbound

This paper cites Interpretable online log analysis using large language models with prompt strategies.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Interpretable online log analysis using large language models with prompt strategies

Reference 98

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T10:04:06.182351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 466fa820-2c43-4c5c-892b-3426620c7614 · outbound

This paper cites LogPrompt: Prompt engineering towards zero-shot and interpretable log analysis.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis LogPrompt: Prompt engineering towards zero-shot and interpretable log analysis

Reference 99

Resolution: malformed identifier; arxiv_id, observed 2026-05-21T10:04:06.468568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 962d6673-bd43-4089-879e-88d2e5abf901 · outbound

This paper cites Loglm: From task-based to instruction-based automated log analysis.

LLM4Log: A Systematic Review of Large Language Model-based Log Analysis Loglm: From task-based to instruction-based automated log analysis

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T10:04:07.180899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers