arxiv_id stringlengths 10 10 | title stringlengths 14 142 | openreview_id stringlengths 10 10 | arxiv_id_source stringclasses 2
values | paper_source_url stringlengths 36 36 | paper_status stringclasses 1
value | paper_tex_files listlengths 1 72 | paper_tex_text stringlengths 44k 508k | supplement_source_url stringlengths 0 78 | supplement_status stringclasses 2
values | supplement_files listlengths 0 6.63k |
|---|---|---|---|---|---|---|---|---|---|---|
2110.03155 | "Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in(...TRUNCATED) | sORaSF9Uxo | title_snapshot | https://arxiv.org/e-print/2110.03155 | skipped_existing | [{"relative_path":"Benefits_NeurIPS25.tex","filename":"Benefits_NeurIPS25.tex","file_size":180764,"s(...TRUNCATED) | "% FILE: Benefits_NeurIPS25.tex\n\\documentclass{article}\n\n\n% if you need to pass options to natb(...TRUNCATED) | https://openreview.net/attachment/ad8481413368591d560b98d28d07c68096a4a784.zip | downloaded | [{"relative_path":"Code/.DS_Store","filename":".DS_Store","extension":"","file_size":6148,"sha256":"(...TRUNCATED) |
2211.14407 | Faster Algorithms for Structured John Ellipsoid Computation | 7RErGDbO6K | title_judge | https://arxiv.org/e-print/2211.14407 | skipped_existing | [{"relative_path":"00_abstract.tex","filename":"00_abstract.tex","file_size":2398,"sha256":"d113b6bc(...TRUNCATED) | "% FILE: 00_abstract.tex\nThe famous theorem of Fritz John states that any convex body has a unique (...TRUNCATED) | missing | [] | |
2301.12226 | Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization | nOZSYSdzOP | title_snapshot | https://arxiv.org/e-print/2301.12226 | skipped_existing | [{"relative_path":"main_a.tex","filename":"main_a.tex","file_size":122094,"sha256":"a30e3f3769b2f5d4(...TRUNCATED) | "% FILE: main_a.tex\n\\documentclass{article}\n\n\\usepackage[numbers]{natbib}\n\\usepackage{PRIMEar(...TRUNCATED) | missing | [] | |
2303.10371 | Geometric Imbalance in Semi-Supervised Node Classification | BND9CutZf6 | title_snapshot | https://arxiv.org/e-print/2303.10371 | skipped_existing | [{"relative_path":"math_commands.tex","filename":"math_commands.tex","file_size":12284,"sha256":"904(...TRUNCATED) | "% FILE: math_commands.tex\n%%%%% NEW MATH DEFINITIONS %%%%%\n\n\\usepackage{amsmath,amsfonts,bm}\n\(...TRUNCATED) | https://openreview.net/attachment/68e63ff5b3f7037f8456cbbe3b275d3ae595a31a.zip | downloaded | [{"relative_path":"Code/README.md","filename":"README.md","extension":".md","file_size":8574,"sha256(...TRUNCATED) |
2305.06227 | LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas | bct6UQcsiA | title_snapshot | https://arxiv.org/e-print/2305.06227 | skipped_existing | [{"relative_path":"neurips_2025.tex","filename":"neurips_2025.tex","file_size":105091,"sha256":"294b(...TRUNCATED) | "% FILE: neurips_2025.tex\n\\documentclass{article}\n\\usepackage{amsthm}\n\n\n% if you need to pass(...TRUNCATED) | https://openreview.net/attachment/b13e96c959efce5ed550003f82abc8bdcea956c8.zip | downloaded | [{"relative_path":"Supplementary/.DS_Store","filename":".DS_Store","extension":"","file_size":6148,"(...TRUNCATED) |
2305.08813 | Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks | 8dTBydCMSr | title_snapshot | https://arxiv.org/e-print/2305.08813 | skipped_existing | [{"relative_path":"main.tex","filename":"main.tex","file_size":90101,"sha256":"4112bbfdb91a19f60b07e(...TRUNCATED) | "% FILE: main.tex\n\\documentclass{article}\n\n\n% if you need to pass options to natbib, use, e.g.:(...TRUNCATED) | missing | [] | |
2306.08586 | Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings | 3FBByWp6GL | title_snapshot | https://arxiv.org/e-print/2306.08586 | skipped_existing | [{"relative_path":"arxiv.tex","filename":"arxiv.tex","file_size":104972,"sha256":"d4a1bf93fb2b0643c3(...TRUNCATED) | "% FILE: arxiv.tex\n\\documentclass{article}\n\n\n% if you need to pass options to natbib, use, e.g.(...TRUNCATED) | missing | [] | |
2308.11256 | Efficient Last-Iterate Convergence in Solving Extensive-Form Games | JzWtqd9CGJ | title_judge | https://arxiv.org/e-print/2308.11256 | skipped_existing | [{"relative_path":"A_Neurips_2023.tex","filename":"A_Neurips_2023.tex","file_size":164741,"sha256":"(...TRUNCATED) | "% FILE: A_Neurips_2023.tex\n\\documentclass{article}\n\n\n% if you need to pass options to natbib, (...TRUNCATED) | missing | [] | |
2308.12063 | Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks | fllsm01JWS | title_snapshot | https://arxiv.org/e-print/2308.12063 | skipped_existing | [{"relative_path":"neurips_2023.tex","filename":"neurips_2023.tex","file_size":116769,"sha256":"a209(...TRUNCATED) | "% FILE: neurips_2023.tex\n\\documentclass{article}\n\n\n% if you need to pass options to natbib, us(...TRUNCATED) | https://openreview.net/attachment/f99f6237ea80c7aaeabd3c1b6586e8e6c9fbaa97.zip | downloaded | [{"relative_path":"Learning_the_Plasticity/Dependencies/brax/LICENSE","filename":"LICENSE","extensio(...TRUNCATED) |
2308.13498 | Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators | PsVp5Gxm0s | title_judge | https://arxiv.org/e-print/2308.13498 | skipped_existing | [{"relative_path":"neurips_2025.tex","filename":"neurips_2025.tex","file_size":4198,"sha256":"370755(...TRUNCATED) | "% FILE: neurips_2025.tex\n\\documentclass{article}\n\n\n\\PassOptionsToPackage{numbers, compress}{n(...TRUNCATED) | https://openreview.net/attachment/4e74e919e798274dc4f92ffb7d448376b9ed02bb.zip | downloaded | [{"relative_path":"uncertainty_estimation_neurips_2025/.ipynb_checkpoints/Monte_Carlo_Gaussian_Entro(...TRUNCATED) |
End of preview. Expand in Data Studio
NeurIPS 2025 Paper Sources and OpenReview Supplements
One row per arXiv paper. Each row groups decoded paper .tex files with the
OpenReview supplementary material files matched by OpenReview note id.
Provenance
ArXiv ids and titles come pre-matched from the
ai-conferences/NeurIPS2025
dataset. Papers without a pre-matched arxiv id are excluded; no fuzzy title
matching is performed anywhere in the pipeline. arxiv_id_source records how
the upstream dataset derived each match, and openreview_id is the OpenReview
forum id used to fetch supplements.
Snapshot
- Papers: 4,271
- Papers with
.tex: 4,268 - Papers with supplements: 2,132
- Papers skipped (no downloaded source): 0
- Paper
.texfiles: 36,781 - Supplement files: 685,013
- Logical bytes: 62,866,547,677
- Parquet shards: 136
Notes
Licensing varies by paper and supplementary archive. Check the arXiv record, OpenReview page, and included files before redistribution or reuse.
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