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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)

Paper ID
14279
Venue
VLDB
Year
2025
Pagerank
5.289545e-05
Overall Rank
9,306 | 36.16%
DOI
10.14778/3750601.3750611

Incoming Non-self Citations Over Time

Authors

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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