From 338146fdd8afa59d2325c2aa408e85018e65412b Mon Sep 17 00:00:00 2001
From: TomeHirata <tomu.hirata@gmail.com>
Date: Wed, 29 Apr 2026 00:55:33 +0900
Subject: [PATCH] Add missing DOIs to bibliography per JOSS reference check

Address JOSS automated reference check (openjournals/joss-reviews#10466):

MISSING DOIs (added):
- Byambadalai et al. 2024 (ICML): 10.2139/ssrn.4910058
- Byambadalai et al. 2025 (ICML): 10.2139/ssrn.5286083
- Hirata et al. 2025 (arXiv): 10.2139/ssrn.5347645
- Byambadalai et al. 2025 (NeurIPS): 10.2139/ssrn.5504858

SKIP DOIs (added where available):
- DoWhy: 10.48550/arXiv.2011.04216
- EconML (KDD 2021): 10.1145/3447548.3470792

Remaining SKIP entries have no DOIs available:
- Fisher 1935 (pre-DOI era book)
- Scikit-learn (JMLR does not assign DOIs)
- Hillstrom 2008 (blog post)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---
 paper/paper.bib | 41 ++++++++++++++++++++++-------------------
 1 file changed, 22 insertions(+), 19 deletions(-)

diff --git a/paper/paper.bib b/paper/paper.bib
index f6a8001..7f93d55 100644
--- a/paper/paper.bib
+++ b/paper/paper.bib
@@ -1,11 +1,13 @@
-@misc{byambadalai2024estimatingdistributionaltreatmenteffects,
+@inproceedings{byambadalai2024estimatingdistributionaltreatmenteffects,
       title={Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction},
-      author={Undral Byambadalai and Tatsushi Oka and Shota Yasui},
+      author={Byambadalai, Undral and Oka, Tatsushi and Yasui, Shota},
+      booktitle={Proceedings of the 41st International Conference on Machine Learning},
+      pages={5082--5113},
       year={2024},
-      eprint={2407.16037},
-      archivePrefix={arXiv},
-      primaryClass={econ.EM},
-      url={https://arxiv.org/abs/2407.16037},
+      volume={235},
+      series={Proceedings of Machine Learning Research},
+      publisher={PMLR},
+      doi={10.2139/ssrn.4910058}
 }
 
 @book{fisher1935design,
@@ -50,31 +52,31 @@ @article{scikit-learn
 
 @inproceedings{byambadalai2025efficientestimationdistributionaltreatment,
       title={On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization},
-      author={Undral Byambadalai and Tomu Hirata and Tatsushi Oka and Shota Yasui},
+      author={Byambadalai, Undral and Hirata, Tomu and Oka, Tatsushi and Yasui, Shota},
       booktitle={Proceedings of the 42nd International Conference on Machine Learning},
       year={2025},
-      series={ICML'25},
-      url={https://arxiv.org/abs/2506.05945}
+      series={Proceedings of Machine Learning Research},
+      publisher={PMLR},
+      doi={10.2139/ssrn.5286083}
 }
 
 @misc{hirata2025efficientscalableestimationdistributional,
       title={Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks},
-      author={Tomu Hirata and Undral Byambadalai and Tatsushi Oka and Shota Yasui and Shunsuke Uto},
+      author={Hirata, Tomu and Byambadalai, Undral and Oka, Tatsushi and Yasui, Shota and Uto, Shunsuke},
       year={2025},
       eprint={2507.07738},
       archivePrefix={arXiv},
       primaryClass={econ.EM},
-      url={https://arxiv.org/abs/2507.07738}
+      url={https://arxiv.org/abs/2507.07738},
+      doi={10.2139/ssrn.5347645}
 }
 
-@misc{byambadalai2025imperfectcompliance,
+@inproceedings{byambadalai2025imperfectcompliance,
       title={Beyond the Average: Distributional Causal Inference under Imperfect Compliance},
-      author={Undral Byambadalai and Tomu Hirata and Tatsushi Oka and Shota Yasui},
+      author={Byambadalai, Undral and Hirata, Tomu and Oka, Tatsushi and Yasui, Shota},
+      booktitle={Advances in Neural Information Processing Systems},
       year={2025},
-      eprint={2509.15594},
-      archivePrefix={arXiv},
-      primaryClass={econ.EM},
-      url={https://arxiv.org/abs/2509.15594}
+      doi={10.2139/ssrn.5504858}
 }
 
 @article{oka2025regression,
@@ -98,7 +100,7 @@ @article{dowhy
   author={Sharma, Amit and Kiciman, Emre},
   journal={arXiv preprint arXiv:2011.04216},
   year={2020},
-  url={https://arxiv.org/abs/2011.04216}
+  doi={10.48550/arXiv.2011.04216}
 }
 
 @inproceedings{econml,
@@ -107,7 +109,8 @@ @inproceedings{econml
   booktitle={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
   pages={4072--4073},
   year={2021},
-  organization={ACM}
+  organization={ACM},
+  doi={10.1145/3447548.3470792}
 }
 
 @ARTICLE{2020SciPy-NMeth,