DBScholar

Back to papers

LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems

Summary: Fine-grained lineage tracing and reuse in ML systems (LIMA) to break coarse, black-box limits. Multi-level traces, loop/function dedup, and cross-hierarchy reuse enable low-overhead provenance with versioning, compatible with task parallelism and operator fusion, delivering up to 12.4x speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6131
Venue
SIGMOD
Year
2021
Pagerank
6.809685e-05
Overall Rank
4,240 | 70.92%
DOI
10.1145/3448016.3452788

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{phani_sigmod21,
        title = {{LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems}},
        author = {Phani, Arnab and Rath, Benjamin and Boehm, Matthias},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452788},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452788},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
6,538 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.8477764e-05
7,160 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6855887e-05
7,232 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 5.6659017e-05
7,656 Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets 2022 SIGMOD 5.5740571e-05
7,687 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.5671645e-05
7,907 Provenance-Enabled Explainable AI 2024 SIGMOD 5.5181056e-05
9,881 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 5.2040783e-05
10,075 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.1613298e-05
10,540 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 5.093636e-05
10,589 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 5.093636e-05
10,701 Unified Lineage System: Tracking Data Provenance at Scale 2025 SIGMOD 5.093636e-05
10,750 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 5.093636e-05
10,882 CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines 2025 VLDB 5.093636e-05
11,066 ML-Asset Management: Curation, Discovery, and Utilization 2025 VLDB 5.093636e-05
11,537 Redundancy Elimination in Distributed Matrix Computation 2022 SIGMOD 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 54 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 2 / 2 Next

Semantically Similar Papers