On the public citation graph
No More Labelled Examples? An Unsupervised Log Parser with LLMs
0 signed · 77 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/ase.2019.00085openalex-snapshot
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
inferredcites →https://doi.org/10.1109/ase56229.2023.00109openalex-snapshot
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
inferredcites →https://doi.org/10.1109/cnsm.2015.7367331openalex-snapshot
LogCluster - A data clustering and pattern mining algorithm for event logs
inferredcites →https://doi.org/10.1109/icdm.2016.0103openalex-snapshot
Spell: Streaming Parsing of System Event Logs
inferredcites →https://doi.org/10.1109/icse-seip.2019.00021openalex-snapshot
Tools and Benchmarks for Automated Log Parsing
inferredcites →https://doi.org/10.1109/icse.2012.6227031openalex-snapshot
Bridging the divide between software developers and operators using logs
inferredcites →https://doi.org/10.1109/icse.2019.00031openalex-snapshot
Mining Historical Test Logs to Predict Bugs and Localize Faults in the Test Logs
inferredcites →https://doi.org/10.1109/icse48619.2023.00078openalex-snapshot
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
inferredcites →https://doi.org/10.1109/icse48619.2023.00082openalex-snapshot
SemParser: A Semantic Parser for Log Analytics
inferredcites →https://doi.org/10.1109/icse48619.2023.00204openalex-snapshot
Log Parsing with Prompt-based Few-shot Learning
inferredcites →https://doi.org/10.1109/icws.2017.13openalex-snapshot
Drain: An Online Log Parsing Approach with Fixed Depth Tree
inferredcites →https://doi.org/10.1109/icws49710.2020.00026openalex-snapshot
Root-Cause Metric Location for Microservice Systems via Log Anomaly Detection
inferredcites →https://doi.org/10.1109/ipom.2003.1251233openalex-snapshot
A data clustering algorithm for mining patterns from event logs
inferredcites →https://doi.org/10.1109/issre59848.2023.00071openalex-snapshot
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
inferredcites →https://doi.org/10.1109/issre62328.2024.00055openalex-snapshot
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
inferredcites →https://doi.org/10.1109/msr.2010.5463281openalex-snapshot
Abstracting log lines to log event types for mining software system logs
inferredcites →https://doi.org/10.1109/msr.2019.00081openalex-snapshot
Tracing Back Log Data to its Log Statement: From Research to Practice
inferredcites →https://doi.org/10.1109/qsic.2008.50openalex-snapshot
Abstracting Execution Logs to Execution Events for Enterprise Applications (Short Paper)
inferredcites →https://doi.org/10.1109/scc.2013.73openalex-snapshot
Incremental Mining of System Log Format
inferredcites →https://doi.org/10.1109/tnsm.2023.3282270openalex-snapshot
LogRule: Efficient Structured Log Mining for Root Cause Analysis
inferredcites →https://doi.org/10.1109/tsc.2023.3270566openalex-snapshot
Brain: Log Parsing With Bidirectional Parallel Tree
inferredcites →https://doi.org/10.1109/tse.2020.3007554openalex-snapshot
Logram: Efficient Log Parsing Using n-Gram Dictionaries
inferredcites →https://doi.org/10.1109/tse.2021.3071473openalex-snapshot
Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs
inferredcites →https://doi.org/10.1109/tse.2024.3475375openalex-snapshot
Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study
inferredcites →https://doi.org/10.1145/1557019.1557154openalex-snapshot
Clustering event logs using iterative partitioning
inferredcites →https://doi.org/10.1145/1629575.1629587openalex-snapshot
Detecting large-scale system problems by mining console logs
inferredcites →https://doi.org/10.1145/3196321.3196340openalex-snapshot
A search-based approach for accurate identification of log message formats
inferredcites →https://doi.org/10.1145/3338906.3338931openalex-snapshot
Robust log-based anomaly detection on unstable log data
inferredcites →https://doi.org/10.1145/3400286.3418262openalex-snapshot
On Matching Log Analysis to Source Code
inferredcites →https://doi.org/10.1145/3460345openalex-snapshot
A Survey on Automated Log Analysis for Reliability Engineering
inferredcites →https://doi.org/10.1145/3468264.3473933openalex-snapshot
An empirical investigation of practical log anomaly detection for online service systems
inferredcites →https://doi.org/10.1145/3485447.3511993openalex-snapshot
UniParser: A Unified Log Parser for Heterogeneous Log Data
inferredcites →https://doi.org/10.1145/3510003.3510101openalex-snapshot
Guidelines for assessing the accuracy of log message template identification techniques
inferredcites →https://doi.org/10.1145/3540250.3558963openalex-snapshot
An empirical study of log analysis at Microsoft
inferredcites →https://doi.org/10.1145/3597503.3608129openalex-snapshot
LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data
inferredcites →https://doi.org/10.1145/3597503.3639150openalex-snapshot
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing
inferredcites →https://doi.org/10.1145/3597503.3639155openalex-snapshot
DivLog: Log Parsing with Prompt Enhanced In-Context Learning
inferredcites →https://doi.org/10.1145/3611643.3616260openalex-snapshot
Hue: A User-Adaptive Parser for Hybrid Logs
inferredcites →https://doi.org/10.1145/3611643.3616355openalex-snapshot
Log Parsing with Generalization Ability under New Log Types
inferredcites →https://doi.org/10.1145/3639478.3643108openalex-snapshot
LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis
inferredcites →https://doi.org/10.1145/3641399.3644114openalex-snapshot
SPINE: A Scalable Log Parser with Feedback Guidance
inferredcites →https://doi.org/10.1145/3643733openalex-snapshot
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache
inferredcites →https://doi.org/10.1145/3643754openalex-snapshot
Go Static: Contextualized Logging Statement Generation
inferredcites →https://doi.org/10.1145/3650212.3652123openalex-snapshot
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
inferredcites →https://doi.org/10.1145/3654966openalex-snapshot
PreLog: A Pre-trained Model for Log Analytics
inferredcites →https://doi.org/10.1145/3696630.3728531openalex-snapshot
L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.48550/arxiv.1611.03213openalex-snapshot
Length Matters: Clustering System Log Messages using Length of Words
inferredcites →https://doi.org/10.48550/arxiv.2001.08361openalex-snapshot
Scaling Laws for Neural Language Models
inferredcites →https://doi.org/10.48550/arxiv.2107.05908openalex-snapshot
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
inferredcites →https://doi.org/10.48550/arxiv.2301.00303openalex-snapshot
Rethinking with Retrieval: Faithful Large Language Model Inference
inferredcites →https://doi.org/10.48550/arxiv.2306.05032openalex-snapshot
Log-based Anomaly Detection based on EVT Theory with feedback
inferredcites →https://doi.org/10.48550/arxiv.2405.04960openalex-snapshot
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-92-2852-2_45openalex-snapshot
VocabLog: A Vocabulary-Driven and LLM-Augmented Framework for High-Performance Log Parsing
inferred← citeshttps://doi.org/10.1007/s10207-025-01018-yopenalex-snapshot
Using large language models for template detection from security event logs
inferred← citeshttps://doi.org/10.1007/s10664-026-10870-yopenalex-snapshot
Plug it and Play on Logs: A configuration-free statistic-based log parser
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108205openalex-snapshot
Industrial log analysis revisited: A task-oriented evaluation of parsing and anomaly detection under real-world constraints
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112781openalex-snapshot
LogMeta: A few-shot model-agnostic meta-learning framework for robust and adaptive log anomaly detection
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112935openalex-snapshot
SCULP: An unsupervised LLM-based log parser with self-correcting capabilities
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00054openalex-snapshot
Understanding Industrial Log Analysis: A Multi-Dataset Evaluation of Parsing and Anomaly Detection
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00061openalex-snapshot
United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00272openalex-snapshot
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00292openalex-snapshot
ErrorPrism: Reconstructing Error Propagation Paths in Cloud Service Systems
inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00472openalex-snapshot
GLIMPSE: Global LLM-Driven Template Merging for Unsupervised Log Parsing
inferred← citeshttps://doi.org/10.1109/saner67736.2026.00079openalex-snapshot
A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation
inferred← citeshttps://doi.org/10.1109/tse.2025.3625121openalex-snapshot
SemanticLog: Towards Effective and Efficient Large-Scale Semantic Log Parsing
inferred← citeshttps://doi.org/10.1145/3774904.3792804openalex-snapshot
Smart Eye: LLM-Guided Proposer-Verifier Framework for Industrial-Scale Log Anomaly Detection
inferred← citeshttps://doi.org/10.1145/3794763.3794808openalex-snapshot
SCOPE:Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration
inferred← citeshttps://doi.org/10.1145/3796239openalex-snapshot
Unsupervised, Accurate, and Efficient Log Parsing Using Smaller Open Source Large Language Models
inferred← citeshttps://doi.org/10.1145/3797145openalex-snapshot
Small Is Beautiful: A Practical and Efficient Log Parsing Framework
inferred← citeshttps://doi.org/10.1145/3832783.3834474openalex-snapshot
Expanding Guard Reach: Online Learning-Driven Incremental Kernel Panic Diagnosis
inferred← citeshttps://doi.org/10.1145/3849478openalex-snapshot
GHA-Agent: A Multi-Agent Framework for GitHub Actions Log Parsing
inferred← citeshttps://doi.org/10.2139/ssrn.6818160openalex-snapshot
Weakly Supervised Named Entity Recognition Framework for Semantic Log Parsing
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.