American Psychological Association 6th edition

Carlos E. Muñiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa, & Giorgio Vinciguerra. (2025). Reproducibility Report for ACM SIGMOD 2024 Paper: ’Grafite: Taming Adversarial Queries with Optimal Range Filters’. Reproducibility Reports of the 2024 International Conference on Management of Data, 74-81. https://doi.org/10.1145/3687998.3717045

ISO-690 (author-date, English)

CARLOS E. MUÑIZ-CUZA, YIN LOU, KYOSEUNG KOO, MARCO COSTA and GIORGIO VINCIGUERRA, 2025. Reproducibility Report for ACM SIGMOD 2024 Paper: ’Grafite: Taming Adversarial Queries with Optimal Range Filters’. Reproducibility Reports of the 2024 International Conference on Management of Data. 21 March 2025. P. 74-81. DOI 10.1145/3687998.3717045.

Modern Language Association 9th edition

Carlos E. Muñiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa, and Giorgio Vinciguerra. “Reproducibility Report for ACM SIGMOD 2024 Paper: ’Grafite: Taming Adversarial Queries With Optimal Range Filters’”. Reproducibility Reports of the 2024 International Conference on Management of Data, Mar. 2025, pp. 74-81, https://doi.org/10.1145/3687998.3717045.

Mohr Siebeck - Recht (Deutsch - Österreich)

Carlos E. Muñiz-Cuza/Yin Lou/Kyoseung Koo/Marco Costa/Giorgio Vinciguerra: Reproducibility Report for ACM SIGMOD 2024 Paper: ’Grafite: Taming Adversarial Queries with Optimal Range Filters’, Reproducibility Reports of the 2024 International Conference on Management of Data 2025, 74-81.

Emerald - Harvard

Carlos E. Muñiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa and Giorgio Vinciguerra. (2025), “Reproducibility Report for ACM SIGMOD 2024 Paper: ’Grafite: Taming Adversarial Queries with Optimal Range Filters’”, Reproducibility Reports of the 2024 International Conference on Management of Data, pp. 74-81.

Warning: These citations may not always be 100% accurate.