A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.
WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.
19875 results in Negative / Null Result Report · page 439 of 663
Najib George Awad · 2021 · Interreligious Studies and Intercultural Theology
Can people of different faiths worship the same God and pray inter-religiously? Can this worship demonstrate that the religions believe in the same God? Does the participation in interreligious prayer verify that the participants believe…
Adrian Dana Austin · 2022 · Engineering and Technology Journal
In The context of Information technology and Cyber Security a nexus of computers and humans occurs as Social engineering. Defenders would like to know how this group interacts with users to gain access to secure information. The purpose of…
Mark WİLSON · 2023 · Lycus Dergisi
Laodicea is the last of the Seven Churches mentioned in the book of Revelation chapters 1–3. This article examines the interpretative issues related to the well-known temperature metaphor found in chapter 3:15–16. The mention of “hot,…
Anne‐Nicole S. Casey, Tiffany Chau, Megan Heffernan et al. · 2023 · Alzheimer's & Dementia
Abstract Background Dementia prevalence is increasing, and risk reduction is a priority. Online interventions that are useable and acceptable to people seeking to reduce their dementia risk are needed. We aimed to assess and explore…
Metin TETİK, Ayşegül ÖZKAN · 2021 · Uluslararası Ticaret ve Ekonomi Araştırmaları Dergisi
This study is based on examining the interaction between the interest rates set by commercial banks and the central bank policy rate. In this framework, it is analyzed whether bank interest rates follow the policy decisions of central…
Y. M. Lodi, V. Reddy, T. Wang · 2024 · Stroke: Vascular and Interventional Neurology
Background In CREST trial 96.1% of the patient in carotid artery stenting (CAS) group had EPD and with a 4.1± 0.6 incidence of stroke. Despite the use of EPD, CAS has more cerebral ischemic events (CIE) compared to CEA. Additionally, the…
Pekka Kurki · 2022 · Generics and Biosimilars Initiative Journal
Systematic clinical switch studies to demonstrate interchangeability of biosimilars are required in some jurisdictions while theoretical considerations and current clinical data question the feasibility and relevance of such studies.
Yao Tong · 2019 · Journal of Finance Research
In recent years, the Chinese beverage market has become more mature and customers have changed their priorities when buying drinks. Furthermore, Chinese people who are more likely to focus on group interests tend to have more collectivism.…
Ricardo Henrique Gonçalves · 2019 · ECS Meeting Abstracts
This demonstration brings the simplest multidisciplinary approach to evaluate the impact of the electrocatalysts in the water electrolysis half-reactions. The experiment is implemented with damaged hard drive (HD) platters as dimensionally…
David Conlon, Lior Gishboliner, Yevgeny Levanzov et al. · 2019 · arXiv
Let $f(n,v,e)$ denote the maximum number of edges in a $3$-uniform hypergraph not containing $e$ edges spanned by at most $v$ vertices. One of the most influential open problems in extremal combinatorics then asks, for a given number of edges $e \geq 3$, what is the smallest integer $d=d(e)$ so that $f(n,e+d,e) = o(n^2)$? This question has its origins in work of Brown, Erdős and Sós from the early 70's and the standard conjecture is that $d(e)=3$ for every $e \geq 3$. The state of the art result regarding this problem was obtained in 2004 by Sárközy and Selkow, who showed that $f(n,e + 2 + \lf
Rosanna Nichols, Lana Mineh, Jesús Rubio et al. · 2018 · arXiv
We introduce a genetic algorithm that designs quantum optics experiments for engineering quantum states with specific properties. Our algorithm is powerful and flexible, and can easily be modified to find methods of engineering states for a range of applications. Here we focus on quantum metrology. First, we consider the noise-free case, and use the algorithm to find quantum states with a large quantum Fisher information (QFI). We find methods, which only involve experimental elements that are available with current or near-future technology, for engineering quantum states with up to a 100-fol
D. R. Heath-Brown · 2026 · arXiv
We show that there are $O(B^{3/5-3/1555+\ep})$ triples $(x,y,z)$ of square-full integesr up to $B$ satisfying the equation $x+y=z$ for any fixed $\ep>0$. This is the first improvement over the `easy' exponent $3/5$, given by Browning and Van Valckenborgh. One new tool is a strong uniform bound for the counting function for equations $aX^3+bY^3=cZ^3$.
John Rozmarynowycz, Seungki Kim · 2023 · arXiv
We report the finding of the new upper bound on the lowest positive integer $x$ for which the Mertens conjecture \begin{equation*} \left| \sum_{1 \leq n \leq x} μ(n) \right| < \sqrt{x} \end{equation*} fails to hold: $x < \exp(1.017 \times 10^{29})$, an improvement over previously known $\exp(1.59 \times 10^{40})$ due to Kotnik and te Riele [7].
Xu Ma, Jiajie Zhang, Fujing Xie et al. · 2025 · arXiv
Global localization is essential for autonomous robotics, especially in indoor environments where the GPS signal is denied. We propose a novel WiFi-based localization framework that leverages ubiquitous wireless infrastructure and the OpenStreetMap Area Graph (osmAG) for large-scale indoor environments. Our approach integrates signal propagation modeling with osmAG's geometric and topological priors. In the offline phase, an iterative optimization algorithm localizes WiFi Access Points (APs) by modeling wall attenuation, achieving a mean localization error of 3.79 m (35.3\% improvement over tr
Sunwoong Yang, Ricardo Vinuesa, Namwoo Kang · 2024 · arXiv
This study addresses the critical challenge of error accumulation in spatio-temporal auto-regressive (AR) predictions within scientific machine learning models by exploring temporal integration schemes and adaptive multi-step rollout strategies. We introduce the first implementation of the two-step Adams-Bashforth method specifically tailored for data-driven AR prediction, leveraging historical derivative information to enhance numerical stability without additional computational overhead. To validate our approach, we systematically evaluate time integration schemes across canonical 2D PDEs be
Asif Manzoor Hasan, Johan Larsson, Sergio Pirozzoli et al. · 2023 · arXiv
A transformation that relates a compressible wall-bounded turbulent flow with non-uniform fluid properties to an equivalent incompressible flow with uniform fluid properties is derived and validated. The transformation accounts for both variable-property and intrinsic compressibility effects, the latter being the key improvement over the current state-of-the-art. The importance of intrinsic compressibility effects contradicts the renowned Morkovin's hypothesis.
Mykolas Sveistrys, Richard Kunert · 2025 · arXiv
Retrieval-Augmented Generation (RAG) has been used in question answering (QA) systems to improve performance when relevant information is in one (single-hop) or multiple (multi-hop) passages. However, many real life scenarios (e.g. dealing with financial, legal, medical reports) require checking all documents for relevant information without a clear stopping condition. We term these pluri-hop questions, and formalize them by 3 conditions - recall sensitivity, exhaustiveness, and exactness. To study this setting, we introduce PluriHopWIND, a multilingual diagnostic benchmark of 48 pluri-hop que
Fabrizio Ottati, Giovanna Turvani, Marco Vacca et al. · 2023 · arXiv
The speed of modern digital systems is severely limited by memory latency (the ``Memory Wall'' problem). Data exchange between Logic and Memory is also responsible for a large part of the system energy consumption. Logic--In--Memory (LiM) represents an attractive solution to this problem. By performing part of the computations directly inside the memory the system speed can be improved while reducing its energy consumption. LiM solutions that offer the major boost in performance are based on the modification of the memory cell. However, what is the cost of such modifications? How do these impa
Yoonjeon Kim, Yuhta Takida, Chieh-Hsin Lai et al. · 2026 · arXiv
RL-based post-training has been widely adopted to enable interleaved visual and textual reasoning in unified multimodal models capable of both text and image generation. However, most existing approaches are built upon autoregressive (AR) unified models, which require full image regeneration during visual reasoning. In this work, we demonstrate that multimodal discrete diffusion models are effective alternatives to AR models for reinforcement learning in interleaved reasoning, owing to their ability to perform efficient visual rollouts via localized visual editing rather than full image-token
Taylor Knipe, Josue Ortega · 2025 · arXiv
The celebrated Efficiency-Adjusted Deferred Acceptance mechanism (EADA) improves the efficiency of the DA algorithm via consented priority violations. Notwithstanding its many merits, we show that EADA can improve only two students when an alternative mechanism that Pareto-dominates DA could benefit all but one student. This shortfall in the number of students improved is not exclusive of EADA but extends to all setwise minimally unstable mechanisms, i.e. those that generate a set of blocking pairs that is never a strict superset of that of another mechanism. The incompatibility between number
S. A. Gurvitz · 2003 · arXiv
We investigate measurement of electron transport in quantum dot systems by using single-electron transistor as a noninvasive detector. It is demonstrated that such a detector can operate in the ``negative-result measurement'' regime. In this case the measured current is not distorted, providing that it is a non-coherent one. For a coherent transport, however, the possibility of observing a particular state out of coherent superposition leads to distortion of a measured current even in the ``negative-result measurement'' regime. The corresponding decoherence rate is obtained in the framework of
Hari Sadasivan · 2026 · arXiv
We set out to train behavioral dispositions (self-verification, uncertainty acknowledgment, feedback integration) into small language models (0.6B to 2.3B effective parameters) through a four-stage all-MIT distillation pipeline, with follow-on experiments on inference-time attention-head interventions and a frozen-base confidence-gated sidecar. An internal draft reported +33.9-point MCAS and +15.3-point HumanEval gains on a Qwen3-0.6B student; a second-pass sanity check falsified both numbers before publication. The HumanEval delta was a truncation artifact (n_predict=512) that inverted to -8.
J. M. Almira, P. E. Lopez-de-Teruel, D. J. Romero-Lopez et al. · 2018 · arXiv
We prove a negative result for the approximation of functions defined on compact subsets of $\mathbb{R}^d$ (where $d \geq 2$) using feedforward neural networks with one hidden layer and arbitrary continuous activation function. In a nutshell, this result claims the existence of target functions that are as difficult to approximate using these neural networks as one may want. We also demonstrate an analogous result (for general $d \in \mathbb{N}$) for neural networks with an \emph{arbitrary} number of hidden layers, for activation functions that are either rational functions or continuous splin
Kenichi Konishi · 2023 · arXiv
We comment on the so-called negative-result experiments (also known as null measurements, interaction-free measurements, and so on) in quantum mechanics (QM), in the light of the new general understanding of the quantum-measurement processes, proposed recently. All experiments of this kind (null-measurements) can be understood as improper measurements with an intentionally biased detector set up, which introduces exclusion or selection of certain events. The prediction on the state of a microscopic system under study based on a null measurement, is sometimes dramatically described as ``wave-fu
Peiyan Zhang, Jason Xin · 2026 · arXiv
Recent work shows that language models can transmit behavioural traits through hidden signals in generated data during training. We ask whether a different activation-mediated channel is viable: can one language model communicate a useful intermediate reasoning state to another at inference time through a post-hoc linear activation bridge, rather than through a textual or structured-token relay? We test this question in a controlled Pythia-160M to Pythia-410M multi-hop reasoning setting. A linear translation layer learns a strong normalized-space map between sender and receiver hidden states,
Jon-Paul Cacioli · 2026 · arXiv
Small instruct-tuned LLMs produce degenerate verbal confidence under minimal elicitation: ceiling rates above 95%, near-chance Type-2 AUROC, and Invalid validity profiles. We test whether confidence-conditioned supervised fine-tuning (CSFT) with self-consistency-derived targets can close the gap between internal information and verbal readout. A pre-registered Phase 0 protocol on Gemma 3 4B-it with a modal filter restricting training to items with correct modal answers produced a negative result: AUROC2 dropped from 0.554 to 0.509 due to label-entropy collapse in the training targets. An explo
David Strnadel · 2025 · arXiv
This paper presents an exploratory, simulator-based proof of concept investigating whether differentiable energy terms derived from parameterized quantum circuits can serve as auxiliary regularization signals in Generative Adversarial Networks (GANs). We augment the Auxiliary Classifier GAN (ACGAN) generator objective with a Variational Quantum Eigensolver (VQE)-inspired energy term computed from class-specific Ising Hamiltonians using Qiskit's EstimatorQNN and TorchConnector. All experiments are performed on a noiseless statevector simulator with only four qubits, using a deliberately simple
Reynaldo null, Puranto Susetyo · 2025 · World Journal of Medical Case Reports
Macular hole (MH) affects the central macula, causing visual impairment, metamorphopsia, and central scotoma. Vitrectomy with internal limiting membrane (ILM) peeling and tamponade is the standard treatment. The inverted ILM flap procedure…
W. W. Cohen · 1995 · arXiv
In a companion paper it was shown that the class of constant-depth determinate k-ary recursive clauses is efficiently learnable. In this paper we present negative results showing that any natural generalization of this class is hard to learn in Valiant's model of pac-learnability. In particular, we show that the following program classes are cryptographically hard to learn: programs with an unbounded number of constant-depth linear recursive clauses; programs with one constant-depth determinate clause containing an unbounded number of recursive calls; and programs with one linear recursive cla
Tim Menzies, Ye Yang, George Mathew et al. · 2016 · arXiv
Context:More than half the literature on software effort estimation (SEE) focuses on comparisons of new estimation methods. Surprisingly, there are no studies comparing state of the art latest methods with decades-old approaches. Objective:To check if new SEE methods generated better estimates than older methods. Method: Firstly, collect effort estimation methods ranging from "classical" COCOMO (parametric estimation over a pre-determined set of attributes) to "modern" (reasoning via analogy using spectral-based clustering plus instance and feature selection, and a recent "baseline method" pro