From Logs to Causal Inference: Diagnosing Large Systems
Summary: LOGos converts messy system logs into causal-inference tables, with interactive cause ranking and causal-graph refinement. Eliciting only graph structure relevant to a target effect reduces human judgments while enabling unbiased intervention estimates. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Markos Markakis (Massachusetts Institute of Technology)
- 2. Brit Youngmann (Technion)
- 3. Trinity Gao (Massachusetts Institute of Technology)
- 4. Ziyu Zhang (Massachusetts Institute of Technology)
- 5. Rana Shahout (Harvard University)
- 6. Peter Baile Chen (Massachusetts Institute of Technology)
- 7. Chunwei Liu (Massachusetts Institute of Technology)
- 8. Ibrahim Sabek (University of Southern California)
- 9. Michael Cafarella (Massachusetts Institute of Technology)
BibTeX Citation
@article{markakis_vldb25,
title = {{From Logs to Causal Inference: Diagnosing Large Systems}},
author = {Markakis, Markos and Youngmann, Brit and Gao, Trinity and Zhang, Ziyu and Shahout, Rana and Chen, Peter Baile and Liu, Chunwei and Sabek, Ibrahim and Cafarella, Michael},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {158--172},
doi = {10.14778/3705829.3705836},
url = {https://doi.org/10.14778/3705829.3705836},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,055 | Causal DAG Summarization | 2025 | VLDB | 5.3251649e-05 |
| 10,502 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 5.093636e-05 |
| 10,909 | LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,376 | Robust and Transferable Log-based Anomaly Detection | 2023 | SIGMOD |
| 2 | 13,829 | Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation | 2006 | VLDB |
| 3 | 7,068 | DataPrism: Exposing Disconnect between Data and Systems | 2022 | SIGMOD |
| 4 | 6,576 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB |
| 5 | 5,713 | PreLog: A Pre-trained Model for Log Analytics | 2024 | SIGMOD |
| 6 | 10,958 | What If: Causal Analysis with Graph Databases | 2025 | VLDB |
| 7 | 2,374 | Causal Relational Learning | 2020 | SIGMOD |
| 8 | 9,055 | Causal DAG Summarization | 2025 | VLDB |
| 9 | 6,054 | Causal Data Integration | 2023 | VLDB |
| 10 | 10,708 | CausaLens: A System for Summarizing Causal DAGs | 2025 | SIGMOD |