Publications ============ Flowcept Papers --------------- **Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability** R. Souza, T. J. Skluzacek, S. R. Wilkinson, M. Ziatdinov, and R. Ferreira da Silva. *IEEE International Conference on e-Science*, Limassol, Cyprus, 2023. Introduces Flowcept's lightweight runtime provenance and data observability architecture and shows minimal-intrusion capture across heterogeneous workflows. Links: `doi `__ | `pdf `__ **PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows** R. Souza, A. Gueroudji, S. DeWitt, D. Rosendo, T. Ghosal, R. Ross, P. Balaprakash, and R. Ferreira da Silva. *IEEE International Conference on e-Science*, Chicago, USA, 2025. Defines agentic provenance and a unified provenance model and tooling to capture, link, and query AI-agent interactions within agentic workflows. Links: `doi `__ | `pdf `__ | `html `__ **Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI** R. Souza, S. Caino-Lores, M. Coletti, T. J. Skluzacek, A. Costan, F. Suter, M. Mattoso, and R. Ferreira da Silva. *IEEE International Conference on e-Science*, Osaka, Japan, 2024. Explains how end-to-end provenance across edge, cloud, and HPC supports responsible, trustworthy, and energy-aware AI workflows. Links: `doi `__ | `pdf `__ **LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology** R. Souza, T. Poteet, B. Etz, D. Rosendo, A. Gueroudji, W. Shin, P. Balaprakash, and R. Ferreira da Silva. *Workflows in Support of Large-Scale Science (WORKS), co-located with SC*, St. Louis, USA, 2025. Presents a reference architecture and evaluation method for LLM agents that query and act on large-scale provenance databases. Links: `doi `__ | `pdf `__ | `html `__ Papers That Used Flowcept ------------------------- **Toward a Persistent Event-Streaming System for High-Performance Computing Applications** M. Dorier, A. Gueroudji, V. Hayot-Sasson, H. Nguyen, S. Ockerman, R. Souza, T. Bicer, H. Pan, P. Carns, K. Chard, and others. *Frontiers in High Performance Computing*, 2025. Demonstrates Flowcept generating high-volume provenance that is persistently streamed with Mofka for HPC applications. Links: `doi `__ | `pdf `__ | `html `__ **AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities** D. Rosendo, S. DeWitt, R. Souza, P. Austria, T. Ghosal, M. McDonnell, R. Miller, T. Skluzacek, J. Haley, B. Turcksin, and others. *Extreme-Scale Experiment-in-the-Loop Computing (XLOOP), co-located with SC*, 2025. Leverages Flowcept's agentic provenance to coordinate multi-agent experiments and connect agents with HPC simulations through a shared provenance stream. Links: `doi `__ | `pdf `__ | `html `__ BibTeX ------ .. code-block:: bibtex @inproceedings{souza2023towards, title={Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability}, author={Souza, Renan and Skluzacek, Tyler J and Wilkinson, Sean R and Ziatdinov, Maxim and da Silva, Rafael Ferreira}, booktitle={IEEE International Conference on e-Science}, doi={10.1109/e-Science58273.2023.10254822}, url={https://doi.org/10.1109/e-Science58273.2023.10254822}, pdf={https://arxiv.org/pdf/2308.09004.pdf}, year={2023} } @inproceedings{souza_prov_agent_2025, author={Renan Souza and Amal Gueroudji and Stephen DeWitt and Daniel Rosendo and Tirthankar Ghosal and Robert Ross and Prasanna Balaprakash and Rafael Ferreira da Silva}, title={PROV-AGENT: Unified Provenance for Tracking {AI} Agent Interactions in Agentic Workflows}, booktitle={IEEE International Conference on e-Science}, year={2025}, doi={10.1109/eScience65000.2025.00093}, pdf={https://arxiv.org/pdf/2508.02866} } @inproceedings{souza_rtai_2024, author={Renan Souza and Silvina Caino-Lores and Mark Coletti and Tyler J. Skluzacek and Alexandru Costan and Frederic Suter and Marta Mattoso and Rafael Ferreira da Silva}, title={Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient {AI}}, booktitle={IEEE International Conference on e-Science}, year={2024}, doi={10.1109/e-Science62913.2024.10678731}, pdf={https://hal.science/hal-04902079v1/document} } @inproceedings{souza_llm_agents_works_sc25, title={{LLM} Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology}, author={Souza, Renan and Poteet, Timothy and Etz, Brian and Rosendo, Daniel and Gueroudji, Amal and others}, booktitle={Workflows in Support of Large-Scale Science ({WORKS}) co-located with the {ACM}/{IEEE} International Conference for High Performance Computing, Networking, Storage, and Analysis ({SC})}, year={2025}, doi={10.1145/3731599.3767582} } @article{dorier2025toward, author={Dorier, Matthieu and Gueroudji, Amal and Hayot-Sasson, Valerie and Nguyen, Hai and Ockerman, Seth and Souza, Renan and Bicer, Tekin and Pan, Haochen and Carns, Philip and Chard, Kyle and others}, doi={10.3389/fhpcp.2025.1638203}, journal={Frontiers in High Performance Computing}, title={Toward a Persistent Event-Streaming System for High-Performance Computing Applications}, volume={3}, year={2025} } @inproceedings{rosendo2025ai, author={Rosendo, Daniel and DeWitt, Stephen and Souza, Renan and Austria, Phillipe and Ghosal, Tirthankar and McDonnell, Marshall and Miller, Ross and Skluzacek, Tyler J and Haley, James and Turcksin, Bruno and others}, booktitle={Extreme-Scale Experiment-in-the-Loop Computing ({XLOOP}) co-located with the {ACM}/{IEEE} International Conference for High Performance Computing, Networking, Storage, and Analysis ({SC})}, title={AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities}, year={2025}, doi={10.1145/3731599.3767592} }