INDEX
Every paper Pith has read and judged, in one searchable index.
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stat.CO arXiv submitted 2026-06-17R package delivers fast Bayesian smoothed piecewise regression
Aidan D. Bindoff · “smoothbp: Fast Bayesian Hierarchical Piecewise Regression with Smoothed Transitions and Spike-and-Slab Model Selection”
2606.19044 -
stat.ME arXiv submitted 2026-06-17Biobank estimator uses all disease cases for incidence
David M. Zucker +1 · “Efficient Cumulative Incidence Estimation in Biobank Studies Using All Prevalent and Incident Events”
2606.19041 -
stat.ME arXiv submitted 2026-06-17Bayes space splits multivariate densities for optimal PCA
Ad\'ela Czolkov\'a +2 · “Dimension reduction of multivariate densities in Bayes spaces”
2606.19011 -
stat.AP arXiv submitted 2026-06-17Natural variations in coupon timing enable causal effect estimates
Deddy Jobson · “Estimating the Effect of Timing on Coupon Effectiveness”
2606.30664 -
stat.ML arXiv submitted 2026-06-17A sequential conditional independence test using betting on an optimized kernel statistic…
Zheng He +1 · “Sequential Kernel-based Conditional Independence Testing via Adaptive Betting”
2606.18993 -
stat.ML arXiv submitted 2026-06-17Top-M optimal flat clusterings from hierarchies in linear time
Connor Simpson +1 · “FOSC-X: An Extended Framework for Optimal Local Cuts and Non-Horizontal Cluster Selection from Clustering Hierarchies”
2606.18972 -
stat.ME arXiv submitted 2026-06-17Neural matching estimates individual treatment effects in time series
Maha Ouali +4 · “Balanced Twins: Causal Inference on Time Series with Hidden Confounding”
2606.18969 -
stat.ME arXiv submitted 2026-06-17Screening selects predictors and breaks in high-dimensional regressions
Zhenjie Qin +3 · “Feature Screening for High-Dimensional Structural Break Predictive Regression”
2606.18949 -
math.ST arXiv submitted 2026-06-17Group ERADE keeps asymptotic properties with delays and missing data
Guijing Zhang +1 · “Group Efficient Randomized-Adaptive Designs with Delayed and Missing Responses”
2606.18942 -
cs.LG arXiv submitted 2026-06-17LLM-elicited stats enable zero-shot feature acquisition
Binyamin Perets +5 · “Zero-Shot Active Feature Acquisition via LLM-Elicitation”
2606.18933 -
cs.LG arXiv submitted 2026-06-17Feature exclusion by manipulability alone is suboptimal
Jivat Neet Kaur +8 · “Strategic Feature Selection”
2606.18867 -
stat.ML arXiv submitted 2026-06-17One forest embedding gives prediction
Nicolas Mahler · “Kernel of Partition Paths: A Unified Representation for Tree Ensembles”
2606.18853 -
stat.ML arXiv submitted 2026-06-17Path metric kernel unifies four tree-ensemble properties
Nicolas Mahler · “Kernel of Partition Paths: A Unified Representation for Tree Ensembles”
2606.18853 -
stat.ME arXiv submitted 2026-06-17Tail-weighted predictors flag extreme poor outcomes in joint models
Eline Vanderpijpen +1 · “Improved prediction of extreme random effects in joint models: WRaPs”
2606.18843 -
stat.ME arXiv submitted 2026-06-17R package unifies Weibull tests for spotting drug safety signals
Julia Dyck +1 · “Applying the Weibull Shape Parameter test for signal detection in pharmacovigilance using the R package WSPsignal”
2606.18809 -
stat.AP arXiv submitted 2026-06-17Warming acceleration detectable first in high latitudes
Tanja Korsten Bugajski +2 · “Spatial emergence of acceleration in global warming”
2606.18806 -
cs.LG arXiv submitted 2026-06-17Restarted latent geometry yields sublinear Wasserstein regret
Navyansh Mahla +2 · “Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption”
2606.18778 -
stat.AP arXiv submitted 2026-06-17Standard variance formulas mislead after CUPED in multi-arm tests
Yu Zhang +4 · “Ensuring Trustworthy Online A/B Testing: Addressing Five Key Questions on CUPED”
2606.18750 -
stat.ML arXiv submitted 2026-06-17Time series segments valued without model training
Wenqin Liu +7 · “TimeLAVA: Learning-Agnostic Valuation for Time Series Data”
2606.18729 -
stat.ML arXiv submitted 2026-06-17Time series segments valued without model training
Wenqin Liu +7 · “TimeLAVA: Learning-Agnostic Valuation for Time Series Data”
2606.18729 -
math.ST arXiv submitted 2026-06-17Jeffreys prior gives admissible predictions in all Gamma models
Fumiyasu Komaki · “Bayesian Prediction in Gamma Models: Admissibility and Infinitesimal Prediction”
2606.18700 -
cs.SD arXiv submitted 2026-06-17Quaternion GAN matches speech quality with 0.89M parameters
Shogo Yamauchi +4 · “QC-GAN: A Parameter-Efficient Quaternion Conformer GAN for High-Fidelity Speech Enhancement”
2606.18611 -
cs.LG arXiv submitted 2026-06-17Every smooth model hides a whole surface of input changes
Zachary P. Bradshaw · “What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry”
2607.13046 -
stat.ML arXiv submitted 2026-06-17Transfer learning boosts fragility model accuracy in scarce data
Narges Saeednejad +1 · “Bridging Data Gaps in Structural Fragility Modeling through Transfer Learning: Methodology and Case Studies”
2606.18567 -
stat.AP arXiv submitted 2026-06-16CAP slope is Bayes theorem in cumulative form
Denis Burakov · “The Gini-Bayes Connection: The CAP Slope as Bayes' Theorem, with Applications to Weight of Evidence, Somers' $D$, and Calibration”
2606.18545 -
stat.AP arXiv submitted 2026-06-16Chess path signatures detect engine assistance missed by aggregate stats
Christian Turk +1 · “Chess Signatures of Play”
2606.18544 -
cs.LG arXiv submitted 2026-06-16The paper introduces TS-Fault
Yuyang Zhao +4 · “TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults”
2606.18539 -
cs.LG arXiv submitted 2026-06-16Loss bounds tighten exactly at high sparsity in sparse autoencoders
Mriganka Basu Roy Chowdhury +1 · “Effects of sparsity and superposition on loss in simple autoencoders”
2606.18538 -
stat.AP arXiv submitted 2026-06-16Effective Bank Size counts unique tests before repetition
Alina A. von Davier +7 · “Analytics for Quality Assurance for Item Pools (AQuAP): Monitoring and Maintaining Item Bank Health in AI-Driven Assessment Systems”
2606.18536 -
stat.ME arXiv submitted 2026-06-16Shrinkage priors yield overlap-preserving substitute confounders
Yordan P. Raykov +3 · “Shrinkage priors for Bayesian Substitute Confounders”
2606.18535 -
stat.ML arXiv submitted 2026-06-16Trajectory labels add H squared factor to offline RL complexity
Xuanfei Ren +1 · “When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?”
2606.18531 -
stat.ML arXiv submitted 2026-06-16One algorithm hits ãO(√T) regret for all proper losses and O(log T) for smooth ones
Rafael Frongillo +3 · “Toward Simultaneously Optimal Regret in U-Calibration”
2606.18527 -
stat.ML arXiv submitted 2026-06-16Trees admit 3D reachability embeddings regardless of size
Prashant Gokhale +5 · “Compact Geometric Representations of Hierarchies”
2606.18520 -
quant-ph arXiv submitted 2026-06-16Exponentially many initializations escape barren plateaus
Ankit Kulshrestha +6 · “Exponentially many initializations to avoid barren plateaus”
2606.18515 -
econ.EM arXiv submitted 2026-06-16Two-way estimator forecasts causal panel effects prospectively
Dennis Shen · “Causal Forecasting in Panel Data: A Two-Way Synthetic Forecasting Approach”
2606.18512 -
cs.LG arXiv submitted 2026-06-16Potentials link identifiability to extrapolation in latent models
Soheun Yi +3 · “Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation”
2606.18509 -
cs.LG arXiv submitted 2026-06-16Sleep Recovery Score aligns 2.5 times better with patient reports than AHI
Saba A. Farahani +4 · “Beyond AHI: An Interpretable Causal-Discovery-Guided Framework for Sleep Recovery in Connected Health”
2606.18506 -
cs.LG arXiv submitted 2026-06-16Quantum annealing supplies exploration in Q-learning for lifetime estimates
Manoranjan Gandhudi +3 · “Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime Prediction”
2606.18503 -
astro-ph.CO arXiv submitted 2026-06-16Coherence Principle sets model priors from theory grammar
Raul Jimenez +3 · “The Coherence Principle: A Falsifiable Prior for Model Selection from the Grammar of Theories”
2606.18491 -
stat.ML arXiv submitted 2026-06-16Trajectory calibration controls risk for tool-using AI agents
Jeffery Opoku +1 · “ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift”
2606.18467 -
cs.DC arXiv submitted 2026-06-16Mixed-precision CA-SGD speeds GLM training 5-7x on A100 GPUs
Aditya Devarakonda +2 · “Mixed-Precision Communication-Avoiding SGD for Generalized Linear Models on GPUs”
2606.18463 -
stat.ME arXiv submitted 2026-06-16Two risk factors' responsibility shares identified from data under balance
Shanshan Luo +3 · “Apportioning Causal Responsibility of Two Risk Factors for an Adverse Outcome via Counterfactual Attribution”
2606.18459 -
astro-ph.CO arXiv submitted 2026-06-16Likelihood form decides whether Hartlap scaling helps cosmology inference
Mattera Raffaele · “Covariance shrinkage for cosmological inference with Sellentin-Heavens-type likelihoods”
2606.18446 -
math.ST arXiv submitted 2026-06-16Spectral coefficient quantifies MA(q) model fit
Holger Dette +1 · “A spectral based coefficient of determination for the fit of an MA(q) model”
2606.18445 -
stat.ML arXiv submitted 2026-06-16Point observations improve local nowcasting but not radar fields uniformly
Oph\'elia Miralles +4 · “Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks”
2606.18436 -
stat.OT arXiv submitted 2026-06-16LLM generator and regulator reach saddle-point equilibrium
Quanyan Zhu · “A Variational Framework for LLM Generator-Regulator Games”
2606.18424 -
cs.LG arXiv submitted 2026-06-16Noise erases nonlinear edge over linear models in biomedicine
Marc-Andre Schulz +1 · “Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction”
2606.18420 -
stat.ME arXiv submitted 2026-06-16Infinite mixture assigns functional anomalies to small components
Daniel Krasnov +1 · “Bayesian Nonparametric Detection of Anomalies in Multivariate Functional Data”
2606.18412 -
stat.ME arXiv submitted 2026-06-16Neural nets learn CTMC moments from noisy Monte Carlo data
Madison Pratt +1 · “Learning Moment Maps for Continuous-Time Markov Chains under Monte Carlo Noise”
2606.18409 -
stat.ML arXiv submitted 2026-06-16Freeze the deep net, and its last layer becomes a proper MLE
Natan Hilario da Silva +2 · “Generalized Neural Distributional Regression”
2607.14122