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Browse the failure-mode index

21,742 real negative results, null findings, and replication failures. 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 Report

Effect of significant ventricular septal defect on the left atrial function and strain using three-dimensional speckle tracking echocardiography

H Nossier, E Ali, H Attia et al. · 2026 · European Heart Journal - Cardiovascular Imaging

Abstract Introduction Among the various types of congenital heart diseases (CHDs), significant left-to-right shunts such as ventricular septal defects (VSDs) alter normal cardiac physiology and hemodynamics, leading to increased volume…

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Negative / Null Result ReportOpen accessComputer Science

Dissecting Role Cognition in Medical LLMs via Neuronal Ablation

Xun Liang, Huayi Lai, Hanyu Wang et al. · 2025 · arXiv

Large language models (LLMs) have gained significant traction in medical decision support systems, particularly in the context of medical question answering and role-playing simulations. A common practice, Prompt-Based Role Playing (PBRP), instructs models to adopt different clinical roles (e.g., medical students, residents, attending physicians) to simulate varied professional behaviors. However, the impact of such role prompts on model reasoning capabilities remains unclear. This study introduces the RP-Neuron-Activated Evaluation Framework(RPNA) to evaluate whether role prompts induce disti

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Negative / Null Result ReportOpen accessPhysics

Dynamical Constraints on Mercury's Collisional Origin

Matthew S. Clement, Nathan A. Kaib, John E. Chambers · 2019 · arXiv

Of the solar system's four terrestrial planets, the origin of Mercury is perhaps the most mysterious. Modern numerical simulations designed to model the dynamics of terrestrial planet formation systematically fail to replicate Mercury; which possesses just 5% the mass of Earth and the highest orbital eccentricity and inclination among the planets. However, Mercury's large iron-rich core and low volatile inventory stand out among the inner planets, and seem to imply a violent collisional origin. Because most algorithms used for simulating terrestrial accretion do not consider the effects of col

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Negative / Null Result ReportOpen accessComputer Science

Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction

Sarah Ball, Simeon Allmendinger, Frauke Kreuter et al. · 2025 · arXiv

Generative AI (GenAI) is increasingly used in survey contexts to simulate human preferences. While many research endeavors evaluate the quality of synthetic GenAI data by comparing model-generated responses to gold-standard survey results, fundamental questions about the validity and reliability of using LLMs as substitutes for human respondents remain. Our study provides a technical analysis of how demographic attributes and prompt variations influence latent opinion mappings in large language models (LLMs) and evaluates their suitability for survey-based predictions. Using 14 different model

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Negative / Null Result Report

PEMANFAATAN KACANG HIJAU SEBAGAI PENGANTI KACANG KEDELAI DALAM PEMBUATAN TEMPE

Azra Nazirah Nafiah, Fitria Wijayanti, Putri Rahayu · 2024 · SIGNIFICANT : Journal Of Research And Multidisciplinary

Judul Penelitian ini adalah Pemanfaatan Kacang Hijau Sebagai Penganti Kacang Kedelai Dalam Pembuatan Tempe. Masalah yang akan di teliti dalam penelitian ini adalah Pemanfaatan Kacang Hijau Sebagai Penganti Kacang Kedelai Dalam Pembuatan…

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Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Interbank network reconstruction enforcing density and reciprocity

Valentina Macchiati, Piero Mazzarisi, Diego Garlaschelli · 2024 · arXiv

Networks of financial exposures are the key propagators of risk and distress among banks, but their empirical structure is not publicly available because of confidentiality. This limitation has triggered the development of methods of network reconstruction from partial, aggregate information. Unfortunately, even the best methods available fail in replicating the number of directed cycles, which on the other hand play a crucial role in determining graph spectra and hence the degree of network stability and systemic risk. Here we address this challenge by exploiting the hypothesis that the stati

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Negative / Null Result Report

Beliefs about the smoking effect on COVID-19 as significant factors in smoking cessation efforts

Mochamad Iqbal Nurmansyah, Yustiyani Yustiyani, Narila Mutia Nasir et al. · 2023 · International Journal of Public Health Science (IJPHS)

Owing to the various scientific evidence linking smoking to the increased risk of developing severe disease and death from the COVID-19 pandemic, now is a critical time for smokers to cut back or quit. This study aimed to analyze the…

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Negative / Null Result Report

P043 Fascinating phosphate: seek and you will find

Jyoti Bakshi, Clare Batten · 2021 · Rheumatology

Abstract Background/Aims A 62-year-old accountant was referred to the metabolic bone clinic with a 2 year history of thoracic back pain and a persistently raised ALP. There were no associated red flags for her back pain. She had a history…

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Negative / Null Result Report

Effect of significant incidence of Braf p.V600E mutations in esophageal cancer on potential use of tyrosine kinase inhibitors.

Thurai Moorthy, Chrishanthi Rajasooriyar, Anusha Ginige et al. · 2020 · Journal of Clinical Oncology

e16591 Background: Routine diagnosis of esophageal cancer varies from locally advanced to metastatic at presentation. Most of these patients are cachectic at presentation and physically not suitable for radical tri-modality treatment as…

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Negative / Null Result ReportOpen accessComputer Science

RILe: Reinforced Imitation Learning

Mert Albaba, Sammy Christen, Thomas Langarek et al. · 2024 · arXiv

Acquiring complex behaviors is essential for artificially intelligent agents, yet learning these behaviors in high-dimensional settings poses a significant challenge due to the vast search space. Traditional reinforcement learning (RL) requires extensive manual effort for reward function engineering. Inverse reinforcement learning (IRL) uncovers reward functions from expert demonstrations but relies on an iterative process that is often computationally expensive. Imitation learning (IL) provides a more efficient alternative by directly comparing an agent's actions to expert demonstrations; how

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Failed Experiment ReportOpen accessComputer Science

How to Improve Top Tagging

Tilman Plehn, Michael Spannowsky, Michihisa Takeuchi · 2011 · arXiv

In time for the first tests on LHC data we introduce a set of improvements and tests of purely kinematic top tagging algorithms. First, we show how different jet algorithms can be used for different transverse momentum regimes. Combining pruning and filtering in the reconstruction can enhance the signal over background ratio significantly, while larger jet radii only give minor improvements. Finally, bottom tagging can be added to the top tagger, but at least for the HEPTopTagger does not improve the kinematic selection algorithm.

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Negative / Null Result ReportOpen accessPhysics

Understanding Balmer Decrements in T Tauri stars in terms of Multiflow Magnetospheric Accretion

Naiara Patiño, Nuria Calvet, Gladis Magris et al. · 2026 · arXiv

Magnetospheric accretion is the paradigm for accretion in Classical T-Tauri Stars (CTTS). However, the standard, one-flow magnetospheric accretion model fails to replicate important characteristics such as the observed Balmer decrements. We address this limitation by adopting a model with two axisymmetric magnetospheric accretion flows of different accretion rates and geometries. We calculate the fluxes of the hydrogen $H_α$, $H_β$, and $H_γ$ lines of each flow with the magnetospheric accretion model and use Bayesian statistics to fit the Balmer line fluxes of 139 CTTS in the Orion OB1b subass

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Negative / Null Result ReportOpen accessMathematics

Learning the seasonality of disease incidences from empirical data

Karunia Putra Wijaya, Dipo Aldila · 2017 · arXiv

Investigating the seasonality of disease incidences is very important in disease surveillance in regions with periodical climatic patterns. In lieu of the paradigm about disease incidences varying seasonally in line with meteorology, this work seeks to determine how well standard epidemic models can capture such seasonality for better forecasts and optimal futuristic interventions. Once incidence data are assimilated by a periodic model, asymptotic analysis in relation to the long-term behavior of the disease occurrences can be performed using the classical Floquet theory, which explains the s

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Failed Experiment ReportOpen accessMathematics

Error Preserving Correction for CPD and Bounded-Norm CPD

Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki · 2017 · arXiv

In CANDECOMP/PARAFAC tensor decomposition, degeneracy often occurs in some difficult scenarios, e.g., when the rank exceeds the tensor dimension, or when the loading components are highly collinear in several or all modes, or when CPD does not have an optimal solution. In such the cases, norms of some rank-1 terms become significantly large and cancel each other. This makes algorithms getting stuck in local minima while running a huge number of iterations does not improve the decomposition. In this paper, we propose an error preservation correction method to deal with such problem. Our aim is

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Negative / Null Result ReportOpen accessPhysics

Free energy approximations in simple lattice proteins

Dirk Reith, Thomas Huber, Florian Mueller-Plathe et al. · 2000 · arXiv

This work addresses the question of whether it is possible to define simple pair-wise interaction terms to approximate free energies of proteins or polymers. Rather than ask how reliable a potential of mean force is, one can ask how reliable it could possibly be. In a two-dimensional, infinite lattice model system one can calculate exact free energies by exhaustive enumeration. A series of approximations were fitted to exact results to assess the feasibility and utility of pair-wise free energy terms. Approximating the true free energy with pair-wise interactions gives a poor fit with little t

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Negative / Null Result ReportOpen accessComputer Science

Investigating the Robustness of Deductive Reasoning with Large Language Models

Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo · 2025 · arXiv

Large Language Models (LLMs) have been shown to achieve impressive results for many reasoning-based NLP tasks, suggesting a degree of deductive reasoning capability. However, it remains unclear to which extent LLMs, in both informal and autoformalisation methods, are robust on logical deduction tasks. Moreover, while many LLM-based deduction methods have been proposed, a systematic study that analyses the impact of their design components is lacking. Addressing these two challenges, we propose the first study of the robustness of formal and informal LLM-based deductive reasoning methods. We de

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Negative / Null Result ReportOpen accessPhysics

Cu_{2}O as nonmagnetic semiconductor for spin transport in crystalline oxide electronics

I. Pallecchi, L. Pellegrino, N. Banerjee et al. · 2010 · arXiv

We probe spin transport in Cu_{2}O by measuring spin valve effect in La_{0.7}Sr_{0.3}MnO_{3}/Cu_{2}O/Co and La_{0.7}Sr_{0.3}MnO_{3}/Cu_{2}O/La_{0.7}Sr_{0.3}MnO_{3} epitaxial heterostructures. In La_{0.7}Sr_{0.3}MnO_{3}/Cu_{2}O/Co systems we find that a fraction of out-of-equilibrium spin polarized carrier actually travel across the Cu_{2}O layer up to distances of almost 100 nm at low temperature. The corresponding spin diffusion length dspin is estimated around 40 nm. Furthermore, we find that the insertion of a SrTiO_{3} tunneling barrier does not improve spin injection, likely due to the ma

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Negative / Null Result ReportOpen accessMathematics

Efficient routing of multiple vehicles with no communications

Alessandro Arsie, Emilio Frazzoli · 2006 · arXiv

In this paper we consider a class of dynamic vehicle routing problems, in which a number of mobile agents in the plane must visit target points generated over time by a stochastic process. It is desired to design motion coordination strategies in order to minimize the expected time between the appearance of a target point and the time it is visited by one of the agents. We propose control strategies that, while making minimal or no assumptions on communications between agents, provide the same level of steady-state performance achieved by the best known decentralized strategies. In other words

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Negative / Null Result ReportOpen accessComputer Science

Capacity and Delay Scaling for Broadcast Transmission in Highly Mobile Wireless Networks

Rajat Talak, Sertac Karaman, Eytan Modiano · 2017 · arXiv

We study broadcast capacity and minimum delay scaling laws for highly mobile wireless networks, in which each node has to disseminate or broadcast packets to all other nodes in the network. In particular, we consider a cell partitioned network under the simplified independent and identically distributed (IID) mobility model, in which each node chooses a new cell at random every time slot. We derive scaling laws for broadcast capacity and minimum delay as a function of the cell size. We propose a simple first-come-first-serve (FCFS) flooding scheme that nearly achieves both capacity and minimum

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Negative / Null Result ReportOpen accessPhysics

Influence of Gender Composition in Pedestrian Single-File Experiments

Sarah Paetzke, Maik Boltes, Armin Seyfried · 2023 · arXiv

Various studies address the question of what factors are relevant to the course of the fundamental diagram in single-file experiments. Some indicate that there are differences due to group composition when gender is taken into account. For this reason, further single-file experiments with homogeneous and heterogeneous group compositions were conducted. A Tukey HSD test was performed to investigate whether there are differences between the mean of velocity in different density ranges. A comparison of different group compositions shows that the effect of gender can only be seen, if at all, in a

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Negative / Null Result ReportOpen accessComputer Science

Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks

Laura Wenderoth · 2024 · arXiv

This paper investigates the MM dynamics approach proposed by Han et al. (2022) for multi-modal fusion in biomedical classification tasks. The MM dynamics algorithm integrates feature-level and modality-level informativeness to dynamically fuse modalities for improved classification performance. However, our analysis reveals several limitations and challenges in replicating and extending the results of MM dynamics. We found that feature informativeness improves performance and explainability, while modality informativeness does not provide significant advantages and can lead to performance degr

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