Negative / Null Result ReportOpen accessComputer Science
Vasilis Niarchos, Constantinos Papageorgakis, Alexander G. Stapleton et al. · 2026 · arXiv
As large language models (LLMs) show increasing promise on research-level physics reasoning tasks and agentic AI becomes more common, a practical question emerges: How does the interaction between researchers and agents affect the results? We study this using SCALAR (Structured Critic--Actor Loop for AI Reasoning), an Actor--Critic--Judge pipeline applied to quantum field theory and string theory problems. The Actor proposes solutions, the Critic provides iterative feedback, and an independent Judge evaluates the transcript against reference solutions. We vary the Actor persona, the Critic fee
Negative / Null Result ReportOpen accessComputer Science
Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa · 2022 · arXiv
Question answering (QA) models are shown to be insensitive to large perturbations to inputs; that is, they make correct and confident predictions even when given largely perturbed inputs from which humans can not correctly derive answers. In addition, QA models fail to generalize to other domains and adversarial test sets, while humans maintain high accuracy. Based on these observations, we assume that QA models do not use intended features necessary for human reading but rely on spurious features, causing the lack of generalization ability. Therefore, we attempt to answer the question: If the
Negative / Null Result ReportOpen accessComputer Science
Masahito Hayashi · 2008 · arXiv
The optimal exponential error rate for adaptive discrimination of two channels is discussed. In this problem, adaptive choice of input signal is allowed. This problem is discussed in various settings. It is proved that adaptive choice does not improve the exponential error rate in these settings. These results are applied to quantum state discrimination.
Negative / Null Result ReportOpen accessComputer Science
Ruhollah Majdoddin · 2014 · arXiv
AFP Algorithm is a learning algorithm for Horn formulas. We show that it does not improve the complexity of AFP Algorithm, if after each negative counterexample more that just one refinements are performed. Moreover, a canonical normal form for Horn formulas is presented, and it is proved that the output formula of AFP Algorithm is in this normal form.
Negative / Null Result ReportMedicine
Lofters, Wilks, Lee et al. · 2026 · medRxiv : the preprint server for health sciences
Fetal hemoglobin (HbF) prevents the polymerization of sickle hemoglobin (HbS). HbF, measured usually as a percent of total hemoglobin (%HbF), is inversely associated with the severity of sickle cell disease (SCD) but fails to capture the…
View details →DOI: 10.64898/2026.06.02.26354737 Negative / Null Result Report
Joël Gaubicher, Philippe Moreau, Marine Cuisinier et al. · 2014 · ECS Meeting Abstracts
Sodium-ion batteries (SIB) are considered as an attractive alternative to lithium-ion batteries (LIB) as they could potentially be much less expensive, safer, and environmentally friendlier[1]. Clearly, one of the major concerns that we…
View details →DOI: 10.1149/ma2014-04/2/296 Negative / Null Result ReportMedicine
Rachidi, Amanallah, Benzakour et al. · 2026 · Cureus
Alcohol-induced hypoglycemia is an uncommon but potentially life-threatening metabolic complication, particularly in the setting of prolonged fasting and chronic alcohol use. We report the case of a 63-year-old man with a history of…
View details →DOI: 10.7759/cureus.108648 Negative / Null Result Report
Breffni M. Noone, Anna S. Mattila · 2026 · Cornell Hospitality Quarterly
Hotel companies often offer consumers fee-based product upgrades to support capacity utilization and revenue goals. Three upgrading models—Guaranteed, Conditional, and Bid—dominate industry practice, but little is known about their…
View details →DOI: 10.1177/19389655261416854 Negative / Null Result ReportOpen accessComputer Science
Lennart Luettgau, Vanessa Cheung, Magda Dubois et al. · 2025 · arXiv
People increasingly seek personal advice from large language models (LLMs), yet whether humans follow their advice, and its consequences for their well-being, remains unknown. In a longitudinal randomised controlled trial with a representative UK sample (N = 6,474), we found that up to 79% of participants who had a 20-minute discussion with one of three AI chatbots (GPT-4o, LLama-3.3-70B, Gemini 3 Pro) about health, careers or relationships subsequently reported following its advice. Advice-following remained above 60% even for high-stakes recommendations, suggesting that users only weakly cal
Negative / Null Result ReportMedicine
Qiu, Hu, Guo et al. · 2026 · Metabolism: clinical and experimental
Acute liver injury is a common precipitating factor in the progression of various liver diseases including liver failure, underscoring the urgent need to identify novel therapeutic targets. G-protein coupled receptors (GPCRs) are widely…
View details →DOI: 10.1016/j.metabol.2026.156684 Negative / Null Result ReportOpen accessComputer Science
Aaron B. Wagner, Nirmal V. Shende, Yücel Altuğ · 2019 · arXiv
We introduce a novel mechanism, called timid/bold coding, by which feedback can be used to improve coding performance. For a certain class of DMCs, called compound-dispersion channels, we show that timid/bold coding allows for an improved second-order coding rate compared with coding without feedback. For DMCs that are not compound dispersion, we show that feedback does not improve the second-order coding rate. Thus we completely determine the class of DMCs for which feedback improves the second-order coding rate. An upper bound on the second-order coding rate is provided for compound-dispersi
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Denis Boyer, Peter D. Walsh · 2010 · arXiv
Thanks to recent technological advances, it is now possible to track with an unprecedented precision and for long periods of time the movement patterns of many living organisms in their habitat. The increasing amount of data available on single trajectories offers the possibility of understanding how animals move and of testing basic movement models. Random walks have long represented the main description for micro-organisms and have also been useful to understand the foraging behaviour of large animals. Nevertheless, most vertebrates, in particular humans and other primates, rely on sophistic
Negative / Null Result Report
Noble Charles, Nilkanth Pal, Jeevan Vernekar · 2025 · African Journal of Urology
Abstract Background The radiologist faces the dilemma of characterizing adrenal lesions, especially in oncology patients, as this finding can alter the patient’s management and prognosis. The objectives of this study were (1) to evaluate…
View details →DOI: 10.1186/s12301-025-00499-6 Negative / Null Result ReportOpen accessComputer Science
Roland S. Zimmermann, Thomas Klein, Wieland Brendel · 2023 · arXiv
In light of the recent widespread adoption of AI systems, understanding the internal information processing of neural networks has become increasingly critical. Most recently, machine vision has seen remarkable progress by scaling neural networks to unprecedented levels in dataset and model size. We here ask whether this extraordinary increase in scale also positively impacts the field of mechanistic interpretability. In other words, has our understanding of the inner workings of scaled neural networks improved as well? We use a psychophysical paradigm to quantify one form of mechanistic inter
Negative / Null Result ReportOpen accessPhysics
B. Megyeri, A. Lampis, G. Harvie et al. · 2017 · arXiv
We discuss the prospects for enhancing absorption and scattering of light from a weakly coupled atom in a high-finesse optical cavity by adding a medium with large, positive group index of refraction. The slow-light effect is known to narrow the cavity transmission spectrum and increase the photon lifetime, but the quality factor of the cavity may not be increased in a metrologically useful sense. Specifically, detection of the weakly coupled atom through either cavity ringdown measurements or the Purcell effect fails to improve with the addition of material slow light. A single-atom model of
Negative / Null Result ReportMedicine
Jumah, Brooks, Siddiq et al. · 2026 · Missouri medicine
Chronic carotid occlusion (CCO) carries a significant risk of ischemic stroke, particularly in patients with impaired cerebrovascular reserve. Extracranial-intracranial (EC-IC) bypass emerged as a popular treatment strategy with high…
Negative / Null Result ReportOpen accessComputer Science
Thomas Vogel, Chinh Tran, Lars Grunske · 2019 · arXiv
In search-based software engineering we often use popular heuristics with default configurations, which typically lead to suboptimal results, or we perform experiments to identify configurations on a trial-and-error basis, which may lead to better results for a specific problem. To obtain better results while avoiding trial-and-error experiments, a fitness landscape analysis is helpful in understanding the search problem, and making an informed decision about the heuristics. In this paper, we investigate the search problem of test suite generation for mobile applications (apps) using SAPIENZ w
Negative / Null Result ReportOpen accessComputer Science
Shufan Wang, Yixiao Song, Andrew Drozdov et al. · 2023 · arXiv
In this paper, we study the generation quality of interpolation-based retrieval-augmented language models (LMs). These methods, best exemplified by the KNN-LM, interpolate the LM's predicted distribution of the next word with a distribution formed from the most relevant retrievals for a given prefix. While the KNN-LM and related methods yield impressive decreases in perplexity, we discover that they do not exhibit corresponding improvements in open-ended generation quality, as measured by both automatic evaluation metrics (e.g., MAUVE) and human evaluations. Digging deeper, we find that interp
Negative / Null Result Report
Heng-Hsing Hsieh, Kathleen Hodnett · 2012 · International Business & Economics Research Journal (IBER)
Empirical literature suggests that stock-picking of fund managers do not provide economic benefits in addition to passively-replicated style benchmarks. This paper constructs a 4-factor style model using the Morgan Stanley Capital…
View details →DOI: 10.19030/iber.v10i12.7150 Negative / Null Result Report
Suliman Khan, Muhammad Yusuf Amin, Faisal Sher · 2023 · UW Journal of Management Sciences
Purpose: This article investigates the differences in the financial performance of full-fledged Islamic and conventional banks operating in Pakistan. This study also examines the impact of some inter-bank financial factors on the…
View details →DOI: 10.56220/uwjms.v7i1.112 Negative / Null Result ReportOpen accessComputer Science
Niek Beckers, Edwin van Asseldonk, Herman van der Kooij · 2020 · arXiv
Haptic interaction between two humans, for example, a physiotherapist assisting a patient regaining the ability to grasp a cup, likely facilitates motor skill acquisition. Haptic human-human interaction has been shown to enhance individual performance improvement in a tracking task with a visuomotor rotation perturbation. These results are remarkable given that haptically assisting or guiding an individual rarely benefits their individual improvement when the assistance is removed. We, therefore, replicated a study that reported that haptic interaction between humans was beneficial for individ
Negative / Null Result Report
Chici Askotamiya, Katarina Agnes · 2023 · Management and Sustainable Development Journal
This research aims to study the return comparison between value and growth stocks listed in the Indonesia Stock Exchange during the COVID-19 pandemic. The portfolios were formed and separated between bigger and smaller capitalization. Data…
View details →DOI: 10.46229/msdj.v5i2.804 Negative / Null Result ReportOpen accessComputer Science
Runtian Zhai, Chen Dan, Zico Kolter et al. · 2022 · arXiv
Empirical risk minimization (ERM) is known in practice to be non-robust to distributional shift where the training and the test distributions are different. A suite of approaches, such as importance weighting, and variants of distributionally robust optimization (DRO), have been proposed to solve this problem. But a line of recent work has empirically shown that these approaches do not significantly improve over ERM in real applications with distribution shift. The goal of this work is to obtain a comprehensive theoretical understanding of this intriguing phenomenon. We first posit the class o
Negative / Null Result Report
Emma Zaal, John Hoeks, Yfke Ongena · 2025 · Journal of Survey Statistics and Methodology
Abstract Social Desirability Bias (SDB), providing a favorable image of oneself in self-reports, is a persistent problem in survey research on sensitive topics. However, face-saving approaches appear promising in discouraging SDB.…
View details →DOI: 10.1093/jssam/smaf017 Negative / Null Result Report
Essence Baker, Caitlin Tytler, Ilya Yaroslavsky · 2022 · Archives of Clinical Neuropsychology
Abstract Objectives: Eye-tracking paradigms may measure attentional process with greater precision than parallel reaction-time-based methods by reducing construct-irrelevant systematic error (e.g., motor activity). However, the benefits of…
View details →DOI: 10.1093/arclin/acac060.193 Negative / Null Result Report
Ziqiao Xu · 2026 · Science and Technology of Engineering, Chemistry and Environmental Protection
This study investigates whether Model Predictive Control (MPC) outperforms a tuned Proportional-Integral-Derivative (PID) controller for high-speed path tracking on a differential-drive robotic platform. As autonomous mobile robots…
View details →DOI: 10.61173/01t54e54 Negative / Null Result ReportOpen accessMathematics
Mark Rubin · 2020 · arXiv
Preregistration entails researchers registering their planned research hypotheses, methods, and analyses in a time-stamped document before they undertake their data collection and analyses. This document is then made available with the published research report to allow readers to identify discrepancies between what the researchers originally planned to do and what they actually ended up doing. This historical transparency is supposed to facilitate judgments about the credibility of the research findings. The present article provides a critical review of 17 of the reasons behind this argument.
Negative / Null Result ReportOpen accessComputer Science
Alex Ayoub, Samuel Robertson, Dawen Liang et al. · 2025 · arXiv
Matrix factorization is a widely used approach for top-N recommendation and collaborative filtering. When implemented on implicit feedback data (such as clicks), a common heuristic is to upweight the observed interactions. This strategy has been shown to improve performance for certain algorithms. In this paper, we conduct a systematic study of various weighting schemes and matrix factorization algorithms. Somewhat surprisingly, we find that training with unweighted data can perform comparably to, and sometimes outperform, training with weighted data, especially for large models. This observat
Negative / Null Result ReportOpen accessMathematics
Andrea Schioppa · 2015 · arXiv
For each $β>1$ we construct a family $F_β$ of metric measure spaces which is closed under the operation of taking weak-tangents (i.e.~blow-ups), and such that each element of $F_β$ admits a $(1,P)$-Poincaré inequality if and only if $P>β$.
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Ian Crawford, Carl-Emil Pless · 2026 · arXiv
We study the associations between everyday economic decision-making quality and people's emotional states. Using high-frequency, highly disaggregated consumer "scanner" data, we show that the cost of poor decision-making is substantial, on average equal to around half of day-to-day consumption budgets. While material circumstances help explain decision-making quality, how people feel about those circumstances is equally important. Contrary to evidence that stress and worry impair performance in settings where distraction is costly, we find these same feelings are associated with improved decis
