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20,230 real negative results, null findings, and replication failures · Negative / Null Result Report. Search the index →

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record compiled from open scholarly databases; the abstract is shown in full only where the paper is openly licensed, otherwise a short excerpt under fair use. Classifications are automated and approximate.

Negative / Null Result ReportOpen access

The influence of poststudy action congruency on memory consolidation

Remmers, Sebastiaan; id_orcid, Pecher, Diane, Zeelenberg, René et al. · 2020

The actions associated with objects are thought to be automatically activated when processing object names. Recent studies, however, have failed to find evidence for a role of the motor system in long-term memory for objects. One exception…

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Negative / Null Result ReportOpen access

Rethinking poverty : what makes a good society? /

Knight, Barryauthor.

Epdf available Open Access under CC-BY-NC licence In our society, a wealthy minority flourish, while around one-fifth experience chronic poverty and many people on middle incomes fear for their futures. Social policy has failed to find…

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Negative / Null Result ReportOpen access

On the Actual EPR Detection of Thioacyl Radicals

Maurizio Guerra (1268337), Angelo Alberti (2426320), Serge Masson (2426323) et al. · 2016

The direct EPR detection of thioacyl radicals has been reported only once, while thioacyl nitroxides remain an elusive species. We failed to detect the thioacyl radicals from two thioaldehydes and from phosphoryldithioformates but have…

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Negative / Null Result ReportOpen access

replication_value_associative_memory_exp2

Masanori Kobayashi, Yasunori Kinosada · 2022

This study try replicate that value enhances associative memory when the binding of item features is optimized. Although our experiment 1 (online) failed to replicate previous findings, it is possible that learning instruction is difficult…

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Negative / Null Result Report

Study: Medical cannabis did not reduce opioid pain prescriptions

Alison Knopf · 2023 · Alcoholism & Drug Abuse Weekly

State laws that allow medical cannabis to be prescribed and dispensed did not result in the reduced treatment of chronic noncancer pain, researchers have found. In the study, “Effects of U.S. State Medical Cannabis Laws on Treatment of…

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Negative / Null Result ReportOpen access

No Significant Difference Unless You Are a Jumper

Shrikhande, Milind, Fendler, Richard · 2012

Numerous studies show there is no significant difference between student performance in online versus traditional courses. Unfortunately, these studies are unable to identify how a given student would have performed in the other format.…

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Negative / Null Result ReportOpen accessComputer Science

Automatically Finding and Categorizing Replication Studies

Bob de Ruiter · 2023 · arXiv

In many fields of experimental science, papers that failed to replicate continue to be cited as a result of the poor discoverability of replication studies. As a first step to creating a system that automatically finds replication studies for a given paper, 334 replication studies and 344 replicated studies were collected. Replication studies could be identified in the dataset based on text content at a higher rate than chance (AUROC = 0.886). Additionally, successful replication studies could be distinguished from failed replication studies at a higher rate than chance (AUROC = 0.664).

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Negative / Null Result ReportOpen accessEngineering

Improving Power Flow Robustness via Circuit Simulation Methods

Amritanshu Pandey, Marko Jereminov, Gabriela Hug et al. · 2017 · arXiv

Recent advances in power system simulation have included the use of complex rectangular current and voltage (I-V) variables for solving the power flow and three-phase power flow problems. This formulation has demonstrated superior convergence properties over conventional polar coordinate based formulations for three-phase power flow, but has failed to replicate the same advantages for power flow in general due to convergence issues with systems containing PV buses. In this paper, we demonstrate how circuit simulation techniques can provide robust convergence for any complex I-V formulation tha

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Negative / Null Result ReportOpen accessComputer Science

Perceptual compensation for tonal context in self-supervised speech models

James Kirby, Ioana Krehan, Michele Gubian · 2026 · arXiv

This study examines the extent to which the wav2vec2.0 architecture exhibits evidence of compensation for phonological context. We conducted a pseudo-replication of a perceptional compensation experiment on Mandarin Chinese tones, and compared the embedding similarities and probing classifier outputs between a purely self-supervised pre-trained model and a model fine-tuned for Mandarin ASR. No evidence of compensation was found in the embedding similarities of the purely pre-trained model. Probing classifiers showed some evidence of compensation in addition to the expected layer-wise improveme

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Negative / Null Result ReportOpen accessComputer Science

Towards Understanding Iterative Magnitude Pruning: Why Lottery Tickets Win

Jaron Maene, Mingxiao Li, Marie-Francine Moens · 2021 · arXiv

The lottery ticket hypothesis states that sparse subnetworks exist in randomly initialized dense networks that can be trained to the same accuracy as the dense network they reside in. However, the subsequent work has failed to replicate this on large-scale models and required rewinding to an early stable state instead of initialization. We show that by using a training method that is stable with respect to linear mode connectivity, large networks can also be entirely rewound to initialization. Our subsequent experiments on common vision tasks give strong credence to the hypothesis in Evci et a

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Negative / Null Result ReportOpen accessComputer Science

Towards Generalist Robot Learning from Internet Video: A Survey

Robert McCarthy, Daniel C. H. Tan, Dominik Schmidt et al. · 2024 · arXiv

Scaling deep learning to massive and diverse internet data has driven remarkable breakthroughs in domains such as video generation and natural language processing. Robot learning, however, has thus far failed to replicate this success and remains constrained by a scarcity of available data. Learning from videos (LfV) methods aim to address this data bottleneck by augmenting traditional robot data with large-scale internet video. This video data provides foundational information regarding physical dynamics, behaviours, and tasks, and can be highly informative for general-purpose robots. This su

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Negative / Null Result ReportOpen accessPhysics

Puzzling Ultra-Diffuse Galaxy Evolution (PUDGE). I. The existence of a Nube-like galaxy in IllustrisTNG

Nataša Pavlov, Ana Mitrašinović · 2025 · arXiv

The recent discovery of the most extended ultra-diffuse galaxy (UDG), Nube, has raised yet another question about the validity of the cold dark matter (CDM) model. The studies using cosmological and zoom-in simulations, which assume CDM, failed to replicate galaxies with the structural properties of Nube. However, the simulation box or the examined population of UDGs may be too narrow to fully capture the range of effects that can lead to the formation of such extraordinary galaxies. In this work we present a case study of a Nube-like galaxy from TNG100, the most extended simulated UDG examine

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Negative / Null Result ReportOpen accessComputer Science

RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks

Hao Guo, Han Wang, Di Zhu et al. · 2025 · arXiv

Modeling spatial heterogeneity in the data generation process is essential for understanding and predicting geographical phenomena. Despite their prevalence in geospatial tasks, neural network models usually assume spatial stationarity, which could limit their performance in the presence of spatial process heterogeneity. By allowing model parameters to vary over space, several approaches have been proposed to incorporate spatial heterogeneity into neural networks. However, current geographically weighting approaches are ineffective on graph neural networks, yielding no significant improvement

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Negative / Null Result ReportOpen accessPhysics

Symmetric Operation of the Resonant Exchange Qubit

Filip K. Malinowski, Frederico Martins, Peter D. Nissen et al. · 2017 · arXiv

We operate a resonant exchange qubit in a highly symmetric triple-dot configuration using IQ-modulated RF pulses. At the resulting three-dimensional sweet spot the qubit splitting is an order of magnitude less sensitive to all relevant control voltages, compared to the conventional operating point, but we observe no significant improvement in the quality of Rabi oscillations. For weak driving this is consistent with Overhauser field fluctuations modulating the qubit splitting. For strong driving we infer that effective voltage noise modulates the coupling strength between RF drive and the qubi

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Negative / Null Result ReportOpen accessPhysics

Photonic glass for high contrast structural color

Guoliang Shang, Lukas Maiwald, Hagen Renner et al. · 2018 · arXiv

Non-iridescent structural colors based on disordered arrangement of monodisperse spherical particles, also called photonic glass, show low color saturation due to gradual transition in reflectivity. No significant improvement is usually expected from particles optimization, as the Mie resonances are broad for small dielectric particles with moderate refractive index. Moreover, the short range order of a photonic glass alone is also insufficient to cause sharp spectral features. We show here, that the combination of a well-chosen particle geometry with the short range order of a photonic glass

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Negative / Null Result ReportOpen accessComputer Science

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Hoyeon Chang, Jinho Park, Seonghyeon Ye et al. · 2024 · arXiv

Despite the recent observation that large language models (LLMs) can store substantial factual knowledge, there is a limited understanding of the mechanisms of how they acquire factual knowledge through pretraining. This work addresses this gap by studying how LLMs acquire factual knowledge during pretraining. The findings reveal several important insights into the dynamics of factual knowledge acquisition during pretraining. First, counterintuitively, we observe that pretraining on more data shows no significant improvement in the model's capability to acquire and maintain factual knowledge.

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Negative / Null Result ReportOpen accessEngineering

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI

Junwei Yang, Xiao-Xin Li, Feihong Liu et al. · 2021 · arXiv

Recent studies on T1-assisted MRI reconstruction for under-sampled images of other modalities have demonstrated the potential of further accelerating MRI acquisition of other modalities. Most of the state-of-the-art approaches have achieved improvement through the development of network architectures for fixed under-sampling patterns, without fully exploiting the complementary information between modalities. Although existing under-sampling pattern learning algorithms can be simply modified to allow the fully-sampled T1-weighted MR image to assist the pattern learning, no significant improveme

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Negative / Null Result Report

Ketamine shows no significant effect on PTSD symptoms in military

· 2022 · The Brown University Psychopharmacology Update

Eight infusions of ketamine administered over 4 weeks did not significantly improve symptoms of post‐traumatic stress disorder (PTSD) in a group of veterans and active‐duty military who had failed on prior antidepressant treatment, a…

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