Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries

Authors

• 1. Matthew Russo (Massachusetts Institute of Technology)
• 2. Yash Agarwal (Massachusetts Institute of Technology)
• 3. Tianyu Li (Massachusetts Institute of Technology)
• 4. Zhuohan Gu (Massachusetts Institute of Technology)
• 5. Michael Cafarella (Massachusetts Institute of Technology)
• 6. Omar Khattab (Massachusetts Institute of Technology)
• 7. Tim Kraska (Massachusetts Institute of Technology)
• 8. Samuel Madden (Massachusetts Institute of Technology)

@article{russo_vldb26,
        title = {{Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries}},
        author = {Russo, Matthew and Agarwal, Yash and Li, Tianyu and Gu, Zhuohan and Cafarella, Michael and Khattab, Omar and Kraska, Tim and Madden, Samuel},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4642--4645},
        doi = {10.14778/3827988.3828086},
        url = {https://doi.org/10.14778/3827988.3828086},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Semantically Similar Papers