% SpecBench / Outcome-Conformant Relational Synthesis — bibliography.
%
% VERIFICATION LEGEND:
%   [VERIFIED]  cross-checked this session against arXiv / ACM DL / Springer / publisher.
% All entries below were verified against the primary source (title, authors, venue, year,
% identifier). Two recon-era errors were corrected and are noted inline. Two uncited entries
% (janus, maxent multi-way cardinality) were removed because the manuscript does not cite them.

% ===================== Query-aware / DB test-data thread =====================

% [VERIFIED] DBLP conf/sigmod/BinnigKLO07; ACM DOI 10.1145/1247480.1247520; pp.341-352.
@inproceedings{binnig2007qagen,
  author    = {Binnig, Carsten and Kossmann, Donald and Lo, Eric and {\"O}zsu, M. Tamer},
  title     = {{QAGen}: Generating Query-Aware Test Databases},
  booktitle = {Proc. ACM SIGMOD Int. Conf. on Management of Data},
  pages     = {341--352},
  year      = {2007},
  address   = {Beijing, China},
  doi       = {10.1145/1247480.1247520},
}

% [VERIFIED] ACM DOI 10.1145/1989323.1989395; SIGMOD 2011 Athens; pp.685-696.
@inproceedings{arasu2011datagen,
  author    = {Arasu, Arvind and Kaushik, Raghav and Li, Jian},
  title     = {Data Generation using Declarative Constraints},
  booktitle = {Proc. ACM SIGMOD Int. Conf. on Management of Data},
  pages     = {685--696},
  year      = {2011},
  address   = {Athens, Greece},
  doi       = {10.1145/1989323.1989395},
}

% [VERIFIED] PVLDB 4(12); ACM DOI 10.14778/3402755.3402785 (DataSynth demo/system).
@article{arasu2011datasynth,
  author    = {Arasu, Arvind and Kaushik, Raghav and Li, Jian},
  title     = {{DataSynth}: Generating Synthetic Data using Declarative Constraints},
  journal   = {Proc. VLDB Endowment (PVLDB)},
  volume    = {4},
  number    = {12},
  year      = {2011},
  doi       = {10.14778/3402755.3402785},
}

% [VERIFIED] Springer VLDB Journal 19(2):203-230, 2010; DOI 10.1007/s00778-009-0157-y.
@article{lo2010framework,
  author    = {Lo, Eric and Binnig, Carsten and Kossmann, Donald and {\"O}zsu, M. Tamer and Hon, Wing-Kai},
  title     = {A Framework for Testing {DBMS} Features},
  journal   = {The VLDB Journal},
  volume    = {19},
  number    = {2},
  pages     = {203--230},
  year      = {2010},
  doi       = {10.1007/s00778-009-0157-y},
}

% [VERIFIED] PVLDB 15(5):998-1010, 2022; authors confirmed via vldb.org/pvldb/vol15/p998-sanghi.pdf.
@article{projectioncompliant2022,
  author    = {Sanghi, Anupam and Ahmed, Shadab and Haritsa, Jayant R.},
  title     = {Projection-Compliant Database Generation},
  journal   = {Proc. VLDB Endowment (PVLDB)},
  volume    = {15},
  number    = {5},
  pages     = {998--1010},
  year      = {2022},
  doi       = {10.14778/3510397.3510398},
}

% ===================== Imitation / learned synthesis =====================

% [VERIFIED] arXiv:1907.00503; NeurIPS 2019, pp.7335-7345.
@inproceedings{xu2019ctgan,
  author    = {Xu, Lei and Skoularidou, Maria and Cuesta-Infante, Alfredo and Veeramachaneni, Kalyan},
  title     = {Modeling Tabular Data using Conditional {GAN}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  pages     = {7335--7345},
  year      = {2019},
  eprint    = {1907.00503},
  archivePrefix = {arXiv},
}

% [VERIFIED] IEEE DSAA 2016; DOI 10.1109/DSAA.2016.49; pp.399-410.
@inproceedings{patki2016sdv,
  author    = {Patki, Neha and Wedge, Roy and Veeramachaneni, Kalyan},
  title     = {The Synthetic Data Vault},
  booktitle = {IEEE Int. Conf. on Data Science and Advanced Analytics (DSAA)},
  pages     = {399--410},
  year      = {2016},
  doi       = {10.1109/DSAA.2016.49},
}

% [VERIFIED] PMLR 202:17564-17579 (ICML 2023); arXiv:2209.15421.
@inproceedings{kotelnikov2023tabddpm,
  author    = {Kotelnikov, Akim and Baranchuk, Dmitry and Rubachev, Ivan and Babenko, Artem},
  title     = {{TabDDPM}: Modelling Tabular Data with Diffusion Models},
  booktitle = {Proc. 40th Int. Conf. on Machine Learning (ICML), PMLR},
  volume    = {202},
  pages     = {17564--17579},
  year      = {2023},
  eprint    = {2209.15421},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2506.00710 (31 May 2025); authors confirmed.
@article{reldiff2025,
  author = {Hudovernik, Valter and Xu, Minkai and Shi, Juntong and {\v{S}}ubelj, Lovro and Ermon, Stefano and {\v{S}}trumbelj, Erik and Leskovec, Jure},
  title  = {{RelDiff}: Relational Data Generative Modeling with Graph-Based Diffusion Models},
  year   = {2025},
  eprint = {2506.00710},
  note   = {Preprint, arXiv:2506.00710},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2312.15187 (v4, Dec 2025); related DOI 10.1145/3770854.3780313 (ACM proceedings).
@article{irg2024,
  author = {Li, Jiayu and Zhao, Zilong and Abdollahzadeh, Milad and Sikdar, Biplab and Tay, Y. C.},
  title  = {{IRG}: Modular Synthetic Relational Database Generation with Complex Relational Schemas},
  year   = {2023},
  eprint = {2312.15187},
  note   = {Preprint, arXiv:2312.15187},
  archivePrefix = {arXiv},
  doi    = {10.1145/3770854.3780313},
}

% [VERIFIED] arXiv:2411.07009 (11 Nov 2024); authors confirmed.
@article{hctgan2024,
  author = {{\AA}gren, Wilhelm and {\'U}beda Sosa, Victorio},
  title  = {Hierarchical Conditional Tabular {GAN} for Multi-Tabular Synthetic Data Generation},
  year   = {2024},
  eprint = {2411.07009},
  note   = {Preprint, arXiv:2411.07009},
  archivePrefix = {arXiv},
}

% ===================== Exact mathematics =====================

% [VERIFIED] Ann. Math. Statist. 26(2):319-324, 1955.
@article{lukacs1955gamma,
  author  = {Lukacs, Eugene},
  title   = {A Characterization of the Gamma Distribution},
  journal = {The Annals of Mathematical Statistics},
  volume  = {26},
  number  = {2},
  pages   = {319--324},
  year    = {1955},
}

% [VERIFIED] Chapman & Hall, London, 1986, ISBN 0-412-28060-4.
@book{aitchison1986compositional,
  author    = {Aitchison, John},
  title     = {The Statistical Analysis of Compositional Data},
  publisher = {Chapman \& Hall},
  address   = {London},
  year      = {1986},
  isbn      = {0-412-28060-4},
}

% [VERIFIED] JASA 82(398):520-524, 1987.
@article{cox1987rounding,
  author  = {Cox, Lawrence H.},
  title   = {A Constructive Procedure for Unbiased Controlled Rounding},
  journal = {Journal of the American Statistical Association},
  volume  = {82},
  number  = {398},
  pages   = {520--524},
  year    = {1987},
}

% [VERIFIED] Yale University Press, 1982, ISBN 0-300-02724-9.
@book{balinski1982fair,
  author    = {Balinski, Michel L. and Young, H. Peyton},
  title     = {Fair Representation: Meeting the Ideal of One Man, One Vote},
  publisher = {Yale University Press},
  year      = {1982},
  isbn      = {0-300-02724-9},
}

% ===================== Aggregate-consistent statistics =====================

% [VERIFIED] JASA 66(333):99-102, 1971.
@article{denton1971,
  author  = {Denton, Frank T.},
  title   = {Adjustment of Monthly or Quarterly Series to Annual Totals: An Approach Based on Quadratic Minimization},
  journal = {Journal of the American Statistical Association},
  volume  = {66},
  number  = {333},
  pages   = {99--102},
  year    = {1971},
}

% [VERIFIED] Rev. Econ. Stat. 53(4):372-375, 1971.
@article{chowlin1971,
  author  = {Chow, Gregory C. and Lin, An-loh},
  title   = {Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series},
  journal = {The Review of Economics and Statistics},
  volume  = {53},
  number  = {4},
  pages   = {372--375},
  year    = {1971},
}

% [VERIFIED] Ann. Math. Statist. 11(4):427-444, 1940; DOI 10.1214/aoms/1177731829.
@article{deming1940ipf,
  author  = {Deming, W. Edwards and Stephan, Frederick F.},
  title   = {On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known},
  journal = {The Annals of Mathematical Statistics},
  volume  = {11},
  number  = {4},
  pages   = {427--444},
  year    = {1940},
  doi     = {10.1214/aoms/1177731829},
}

% ===================== Condensation / conditioned-sum frontier =====================

% [VERIFIED] Stoch. Proc. Appl. 121(5):1138-1147, 2011; arXiv:0912.1516.
@article{armendariz2011condensation,
  author  = {Armend{\'a}riz, In{\'e}s and Loulakis, Michail},
  title   = {Conditional Distribution of Heavy Tailed Random Variables on Large Deviations of their Sum},
  journal = {Stochastic Processes and their Applications},
  volume  = {121},
  number  = {5},
  pages   = {1138--1147},
  year    = {2011},
  eprint  = {0912.1516},
  archivePrefix = {arXiv},
}

% [VERIFIED + CORRECTED] arXiv:1406.3573. Journal is J. Phys. A 47, 455004 (2014),
% NOT Physical Review Letters as an earlier draft stated.
@article{szavits2014condensation,
  author  = {Szavits-Nossan, Juraj and Evans, Martin R. and Majumdar, Satya N.},
  title   = {Condensation Transition in Joint Large Deviations of Linear Statistics},
  journal = {Journal of Physics A: Mathematical and Theoretical},
  volume  = {47},
  number  = {45},
  pages   = {455004},
  year    = {2014},
  eprint  = {1406.3573},
  archivePrefix = {arXiv},
}

% [VERIFIED] Comput. Stat. Data Anal. 97:98-113, 2016; arXiv:1410.8209.
@article{golchi2016scmc,
  author  = {Golchi, Shirin and Campbell, David A.},
  title   = {Sequentially Constrained Monte Carlo},
  journal = {Computational Statistics \& Data Analysis},
  volume  = {97},
  pages   = {98--113},
  year    = {2016},
  eprint  = {1410.8209},
  archivePrefix = {arXiv},
}

% ===================== Evaluation methodology =====================

% [VERIFIED] arXiv:2505.01524 (2 May 2025); authors confirmed.
@article{dcrdelusion2025,
  author = {Yao, Zexi and Kr{\v{c}}o, Nata{\v{s}}a and Ganev, Georgi and de Montjoye, Yves-Alexandre},
  title  = {The {DCR} Delusion: Measuring the Privacy Risk of Synthetic Data},
  year   = {2025},
  eprint = {2505.01524},
  note   = {Preprint, arXiv:2505.01524},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:1706.02633 (2017); RGAN/RCGAN, origin of the TSTR protocol.
@article{esteban2017tstr,
  author  = {Esteban, Crist{\'o}bal and Hyland, Stephanie L. and R{\"a}tsch, Gunnar},
  title   = {Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs},
  year    = {2017},
  eprint  = {1706.02633},
  note   = {Preprint, arXiv:1706.02633},
  archivePrefix = {arXiv},
}

% ===================== 2024-2026 currency sweep =====================

% [VERIFIED + CORRECTED] arXiv:2604.16817 (26 Apr 2026). The system is named RDDG; the paper's
% title is below (an earlier draft used the acronym expansion as the title).
@article{rddg2026,
  author = {Zhang, Chongsheng and others},
  title  = {Self-Reinforcing Controllable Synthesis of Rare Relational Data via Bayesian Calibration},
  year   = {2026},
  eprint = {2604.16817},
  note   = {Preprint, arXiv:2604.16817},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2503.02161 (Mar 2025); authors confirmed. (Key retains the 2026 label used
% in the manuscript text; the arXiv submission year is 2025.)
@article{llmtablogic2026,
  author = {Long, Yunbo and Xu, Liming and Brintrup, Alexandra},
  title  = {{LLM-TabLogic}: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion},
  year   = {2025},
  eprint = {2503.02161},
  note   = {Preprint, arXiv:2503.02161},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2508.02601 (4 Aug 2025); authors confirmed.
@article{structsynth2025,
  author = {Liu, Siyi and Zheng, Yujia and Zhang, Yongqi},
  title  = {{StructSynth}: Leveraging {LLMs} for Structure-Aware Tabular Data Synthesis in Low-Data Regimes},
  year   = {2025},
  eprint = {2508.02601},
  note   = {Preprint, arXiv:2508.02601},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2507.15839 (21 Jul 2025); authors confirmed.
@article{fastgen2025,
  author = {Nguyen, Anh and Schafft, Sam and Hale, Nicholas and Alfaro, John},
  title  = {{FASTGEN}: Fast and Cost-Effective Synthetic Tabular Data Generation with {LLMs}},
  year   = {2025},
  eprint = {2507.15839},
  note   = {Preprint, arXiv:2507.15839},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2504.01908 (2 Apr 2025); MOSTLY AI; authors confirmed.
@article{multidim_benchmark2025,
  author = {Sidorenko, Andrey and Platzer, Michael and Scriminaci, Mario and Tiwald, Paul},
  title  = {Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework},
  year   = {2025},
  eprint = {2504.01908},
  note   = {Preprint, arXiv:2504.01908},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2404.15821 (Apr 2024); also Data Min. Knowl. Discov. 39(1), 2025.
@article{syntheval2024,
  author  = {Lautrup, Anton Danholt and Hyrup, Tobias and Zimek, Arthur and Schneider-Kamp, Peter},
  title   = {{SynthEval}: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data},
  journal = {Data Mining and Knowledge Discovery},
  volume  = {39},
  number  = {1},
  year    = {2025},
  eprint  = {2404.15821},
  archivePrefix = {arXiv},
}

% [VERIFIED] arXiv:2207.05295 (Jul 2022); authors confirmed.
@article{tabsyndex2022,
  author = {Chundawat, Vikram S. and Tarun, Ayush K. and Mandal, Murari and Lahoti, Mukund and Narang, Pratik},
  title  = {{TabSynDex}: A Universal Metric for Robust Evaluation of Synthetic Tabular Data},
  year   = {2022},
  eprint = {2207.05295},
  note   = {Preprint, arXiv:2207.05295},
  archivePrefix = {arXiv},
}

% ===================== Software (cite tool + docs, not a paper) =====================

@misc{nemo_data_designer,
  title  = {{NeMo} Data Designer},
  author = {{NVIDIA (formerly Gretel)}},
  year   = {2025},
  note   = {Apache-2.0; software + documentation},
}

@misc{sdgym,
  title  = {{SDGym} and {SDMetrics}},
  author = {{DataCebo}},
  note   = {software + documentation},
}
