SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning
Summary: SagaLLM applies Saga-style transactions to multi-agent LLM planning, combining persistent context, independent validation, checkpoints, and automated compensation. It provides workflow-wide consistency and recovery without strict ACID guarantees, improving constraint satisfaction and coordination under uncertainty. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Edward Y. Chang (Stanford University)
- 2. Longling Geng (Stanford University)
BibTeX Citation
@article{chang_vldb25,
title = {{SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning}},
author = {Chang, Edward Y. and Geng, Longling},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {4874--4886},
doi = {10.14778/3750601.3750611},
url = {https://doi.org/10.14778/3750601.3750611},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,290 | Skyline Retrieval meets Set-Cover Chunk Merging: A Cost-Effective RAG-Sketch for Long-Context LLM QA | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 64 | Sagas | 1987 | SIGMOD | 0.00038756588 |
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