A new corpus of 108 mixed string-numeric tables shows that advanced tabular learners with basic string embeddings perform well on most real-world data, while large LLM encoders help on free-text heavy tables.
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The Expected Number of Zeros of a Stationary Gaussian Process
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Objective dimensionality sets the rank of task closure installed in a world-model latent; single-reward value equivalence is the rank-one corner of that law.
A closed-form sample size correction k^(α, β, t0) for always-valid inference that achieves target power within ~3pp in Gaussian simulations across three boundary families and saves 8-20% versus the last-point rule.
Extends UMVUE theory to Bregman losses by introducing dual-space unbiasedness and proving Rao-Blackwell and Lehmann-Scheffé analogs for type-I Bregman UMVUEs.
The optimal wealth growth rate equals lim n→∞ of n^{-1} times inf KL(Q^n, P) over the bipolar of the n-fold null set, which is achievable and cannot be exceeded.
Power-one sequential tests exist for testing any weakly compact null set of distributions against its complement.
A model-free diffusion test for discrete time series that uses the scaling of excursion counts with quadratic variation to classify signals as stochastic or deterministic.
MuoFuzz improves greybox fuzzing by learning mutator sequence interactions to select effective orders, outperforming AFL++ and MOPT on coverage and unique bugs in FuzzBench and MAGMA.
Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.
Anti-Prompt protects images from text-guided image-to-video generation by suppressing text-conditioned attention during denoising, producing visible generation failures.
BPL is a spinlock that batches waiting tasks by request order and prioritizes within batches to cut average delay for high-priority tasks while keeping the same worst-case bound as FIFO locks.
CALIBURN integrates Bayesian change-point detection, isotonic calibration, cost-sensitive thresholding, conformal risk control, and burn-rate alerting into a single streaming substrate, showing that calibration and CRC performance is strongly regime-dependent on attack prevalence.
ThiopheneIV is a monotone implied-volatility solver using Choi-Huh-Su seed, Euler-Chebyshev and Halley iterations, proven to converge monotonically in exact arithmetic, with double-precision boundary handling and comparisons to Jäckel's solver.
LHAASO gamma-ray data from G150.3+4.5 and γ-Cygni show high-energy components produced by PeV cosmic rays from supernova remnants colliding with molecular clouds.
Co-locating tests with implementation code yields substantially higher preservation and correctness in foundation-model-generated programs than separated test syntax.
Weak-to-strong knowledge distillation applied early and then turned off accelerates convergence to target performance in visual learning tasks by factors of 1.7-4.8x.
Framework for dataset subset selection via clustering, A/D-optimality, and FAFI with bootstrap intervals to preserve model rankings, showing high Spearman correlation (0.95 with 5 datasets) in TSC but limited gains in recommender systems.
No photon-ALP conversion signal found in HAWC data from M87, producing competitive constraints excluding ALP masses of 10^{-8} to 10^{-6} eV for couplings above 5×10^{-12} GeV^{-1}.
FlashIV is a new Black-Scholes implied volatility solver using input normalization, erfcx residual, and fixed Householder refinement that runs faster than Jäckel's Let's Be Rational while staying close to its reference price.
QBalance supplies a reproducible multi-objective workflow library for selecting among quantum compilation, noise-suppression, and error-mitigation strategies on Qiskit while documenting its own limitations.
citing papers explorer
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STRABLE: Benchmarking Tabular Machine Learning with Strings
A new corpus of 108 mixed string-numeric tables shows that advanced tabular learners with basic string embeddings perform well on most real-world data, while large LLM encoders help on free-text heavy tables.
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The Rank-One Corner: How Much Value Equivalence Does a Task Need from a World Model?
Objective dimensionality sets the rank of task closure installed in a world-model latent; single-reward value equivalence is the rank-one corner of that law.
-
A closed-form sample size correction for always-valid inference with optional stopping
A closed-form sample size correction k^(α, β, t0) for always-valid inference that achieves target power within ~3pp in Gaussian simulations across three boundary families and saves 8-20% versus the last-point rule.
-
UMVUE-Type Estimators under Bregman Losses
Extends UMVUE theory to Bregman losses by introducing dual-space unbiasedness and proving Rao-Blackwell and Lehmann-Scheffé analogs for type-I Bregman UMVUEs.
-
The optimal betting wealth growth rate
The optimal wealth growth rate equals lim n→∞ of n^{-1} times inf KL(Q^n, P) over the bipolar of the n-fold null set, which is achievable and cannot be exceeded.
-
Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$
Power-one sequential tests exist for testing any weakly compact null set of distributions against its complement.
-
Detecting Stochasticity in Discrete Signals via Nonparametric Excursion Theorem
A model-free diffusion test for discrete time series that uses the scaling of excursion counts with quadratic variation to classify signals as stochastic or deterministic.
-
On Interaction Effects in Greybox Fuzzing
MuoFuzz improves greybox fuzzing by learning mutator sequence interactions to select effective orders, outperforming AFL++ and MOPT on coverage and unique bugs in FuzzBench and MAGMA.
-
Goodness of Fit Tests Based on Joint Densities of Multiple Sample Statistics
Goodness-of-fit tests are developed using simulated hyperrectangular and highest-density-region confidence sets for joint distributions of multiple sample statistics, with simulations indicating competitive or superior power to classical and graphical methods.
-
Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation
Anti-Prompt protects images from text-guided image-to-video generation by suppressing text-conditioned attention during denoising, producing visible generation failures.
-
Bounded Priority-Aware Locking for Real-Time Kernels
BPL is a spinlock that batches waiting tasks by request order and prioritizes within batches to cut average delay for high-priority tasks while keeping the same worst-case bound as FIFO locks.
-
CALIBURN: Operationally Calibrated Streaming Intrusion Detection with Regime-Dependent Conformal Risk Control
CALIBURN integrates Bayesian change-point detection, isotonic calibration, cost-sensitive thresholding, conformal risk control, and burn-rate alerting into a single streaming substrate, showing that calibration and CRC performance is strongly regime-dependent on attack prevalence.
-
Faster Monotone Implied Volatility Solver
ThiopheneIV is a monotone implied-volatility solver using Choi-Huh-Su seed, Euler-Chebyshev and Halley iterations, proven to converge monotonically in exact arithmetic, with double-precision boundary handling and comparisons to Jäckel's solver.
-
Ultra-high-energy $\gamma$-ray imprints from PeV particles accelerated by supernova remnants
LHAASO gamma-ray data from G150.3+4.5 and γ-Cygni show high-energy components produced by PeV cosmic rays from supernova remnants colliding with molecular clouds.
-
Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation
Co-locating tests with implementation code yields substantially higher preservation and correctness in foundation-model-generated programs than separated test syntax.
-
Weak-to-Strong Knowledge Distillation Accelerates Visual Learning
Weak-to-strong knowledge distillation applied early and then turned off accelerates convergence to target performance in visual learning tasks by factors of 1.7-4.8x.
-
Benchmarking on Tasks That Matter: Dataset Selection for Preserving Model Rankings
Framework for dataset subset selection via clustering, A/D-optimality, and FAFI with bootstrap intervals to preserve model rankings, showing high Spearman correlation (0.95 with 5 datasets) in TSC but limited gains in recommender systems.
-
Constraints on axion-like particles from ultra-high-energy observations of M87 with the HAWC observatory
No photon-ALP conversion signal found in HAWC data from M87, producing competitive constraints excluding ALP masses of 10^{-8} to 10^{-6} eV for couplings above 5×10^{-12} GeV^{-1}.
-
Implying Volatility: How Fast Can We Go?
FlashIV is a new Black-Scholes implied volatility solver using input normalization, erfcx residual, and fixed Householder refinement that runs faster than Jäckel's Let's Be Rational while staying close to its reference price.
-
QBalance: A Reproducible Multi-Objective Workflow for Quantum Compilation, Noise Suppression, and Error-Mitigation Strategy Selection
QBalance supplies a reproducible multi-objective workflow library for selecting among quantum compilation, noise-suppression, and error-mitigation strategies on Qiskit while documenting its own limitations.