The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent
Summary: Reifies evolving information needs as relational schemas to iteratively steer LLM-powered discovery and data-prep toward fit-for-purpose artifacts. Combines context-specialization, a conductor-style planner, and shared-state convergence with RAG/agentic integration to automate discovery, guide preparation, and record institutional knowledge. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Muhammad Imam Luthfi Balaka (University of Chicago)
- 2. Raul Castro Fernandez (University of Chicago)
BibTeX Citation
@inproceedings{balaka_cidr26,
address = {Amsterdam, Netherlands},
series = {{CIDR} '26},
title = {{The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Balaka, Muhammad Imam Luthfi and Fernandez, Raul Castro},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00037720227 |
| 1,683 | ReAcTable: Enhancing ReAct for Table Question Answering | 2024 | VLDB | 9.8822754e-05 |
| 1,845 | Data Market Platforms: Trading Data Assets to Solve Data Problems | 2020 | VLDB | 9.5136397e-05 |
| 3,250 | How Large Language Models Will Disrupt Data Management | 2023 | VLDB | 7.4938546e-05 |
| 3,925 | Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System | 2025 | SIGMOD | 6.9214086e-05 |
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