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Failure-mode index

Search what already failed

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.

20253 results in Negative / Null Result Report · page 444 of 676

Negative / Null Result ReportOpen accessComputer Science

Scalable Approach for Normalizing E-commerce Text Attributes (SANTA)

Ravi Shankar Mishra, Kartik Mehta, Nikhil Rasiwasia · 2021 · arXiv

In this paper, we present SANTA, a scalable framework to automatically normalize E-commerce attribute values (e.g. "Win 10 Pro") to a fixed set of pre-defined canonical values (e.g. "Windows 10"). Earlier works on attribute normalization focused on fuzzy string matching (also referred as syntactic matching in this paper). In this work, we first perform an extensive study of nine syntactic matching algorithms and establish that 'cosine' similarity leads to best results, showing 2.7% improvement over commonly used Jaccard index. Next, we argue that string similarity alone is not sufficient for a

Negative / Null Result ReportOpen accessComputer Science

Monte-Carlo Planning: Theoretically Fast Convergence Meets Practical Efficiency

Zohar Feldman, Carmel Domshlak · 2013 · arXiv

Popular Monte-Carlo tree search (MCTS) algorithms for online planning, such as epsilon-greedy tree search and UCT, aim at rapidly identifying a reasonably good action, but provide rather poor worst-case guarantees on performance improvement over time. In contrast, a recently introduced MCTS algorithm BRUE guarantees exponential-rate improvement over time, yet it is not geared towards identifying reasonably good choices right at the go. We take a stand on the individual strengths of these two classes of algorithms, and show how they can be effectively connected. We then rationalize a principle

Negative / Null Result ReportOpen accessPhysics

Path-Extrema Upper Bounds on Mean Entropy Production

Surachate Limkumnerd · 2026 · arXiv

Fluctuation relations imply the second-law inequality $\langleΣ_T\rangle\ge0$, but path extrema can also constrain how large the mean entropy production can be. For steady-state processes with entropy-production martingale $M_t=e^{-Σ_t}$, we show that knowing only the positive running maximum of $Σ_t$ gives no improvement over the trivial endpoint bound: rare negative entropy-production excursions can still carry the exponential weight required by the fluctuation relation. Using the running extrema $L_T=\inf M_t$ and $H_T=\sup M_t$, we derive a path-extrema upper envelope $\mathcal{U}_{\rm ext

Negative / Null Result ReportOpen accessComputer Science

Rumour Evaluation with Very Large Language Models

Dahlia Shehata, Robin Cohen, Charles Clarke · 2024 · arXiv

Conversational prompt-engineering-based large language models (LLMs) have enabled targeted control over the output creation, enhancing versatility, adaptability and adhoc retrieval. From another perspective, digital misinformation has reached alarming levels. The anonymity, availability and reach of social media offer fertile ground for rumours to propagate. This work proposes to leverage the advancement of prompting-dependent LLMs to combat misinformation by extending the research efforts of the RumourEval task on its Twitter dataset. To the end, we employ two prompting-based LLM variants (GP

Negative / Null Result ReportOpen accessComputer Science

An efficient magic state approach to small angle rotations

Earl T. Campbell, Joe O'Gorman · 2016 · arXiv

Standard error correction techniques only provide a quantum memory and need extra gadgets to perform computation. Central to quantum algorithms are small angle rotations, which can be fault-tolerantly implemented given a supply of an unconventional species of magic state. We present a low-cost distillation routine for preparing these small angle magic states. Our protocol builds on the work of Duclos-Cianci and Poulin [Phys. Rev. A, 91, 042315 (2015)] by compressing their circuit. Additionally, we present a method of diluting magic states that reduces costs associated with very small angle rot

Negative / Null Result ReportOpen accessEngineering

TCG CREST System Description for the Second DISPLACE Challenge

Nikhil Raghav, Subhajit Saha, Md Sahidullah et al. · 2024 · arXiv

In this report, we describe the speaker diarization (SD) and language diarization (LD) systems developed by our team for the Second DISPLACE Challenge, 2024. Our contributions were dedicated to Track 1 for SD and Track 2 for LD in multilingual and multi-speaker scenarios. We investigated different speech enhancement techniques, voice activity detection (VAD) techniques, unsupervised domain categorization, and neural embedding extraction architectures. We also exploited the fusion of various embedding extraction models. We implemented our system with the open-source SpeechBrain toolkit. Our fin

Negative / Null Result ReportOpen accessMathematics

Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models

Courtney Paquette, Elliot Paquette · 2021 · arXiv

We analyze a class of stochastic gradient algorithms with momentum on a high-dimensional random least squares problem. Our framework, inspired by random matrix theory, provides an exact (deterministic) characterization for the sequence of loss values produced by these algorithms which is expressed only in terms of the eigenvalues of the Hessian. This leads to simple expressions for nearly-optimal hyperparameters, a description of the limiting neighborhood, and average-case complexity. As a consequence, we show that (small-batch) stochastic heavy-ball momentum with a fixed momentum parameter pr

Negative / Null Result ReportOpen accessComputer Science

On the Design and Optimization of a Quantum Polynomial-Time Attack on Elliptic Curve Cryptography

Donny Cheung, Dmitri Maslov, Jimson Mathew et al. · 2007 · arXiv

We consider a quantum polynomial-time algorithm which solves the discrete logarithm problem for points on elliptic curves over $GF(2^m)$. We improve over earlier algorithms by constructing an efficient circuit for multiplying elements of binary finite fields and by representing elliptic curve points using a technique based on projective coordinates. The depth of our proposed implementation, executable in the Linear Nearest Neighbor (LNN) architecture, is $O(m^2)$, which is an improvement over the previous bound of $O(m^3)$ derived assuming no architectural restrictions.

Negative / Null Result ReportOpen accessPhysics

Beyond the RPA on the cheap: improved correlation energies with the efficient "Radial Exchange Hole" kernel

Tim Gould · 2012 · arXiv

The "ACFD-RPA" correlation energy functional has been widely applied to a variety of systems to successfully predict energy differences, and less successfully predict absolute correlation energies. Here we present a parameter-free exchange-correlation kernel that systematically improves absolute correlation energies, while maintaining most of the good numerical properties that make the ACFD-RPA numerically tractable. The "RXH" kernel is constructed to approximate the true exchange kernel via a carefully weighted, easily computable radial averaging. Correlation energy errors of atoms with two t

Negative / Null Result ReportOpen accessPhysics

Primordial $^4\text{He}$ constraints on inelastic macro dark matter revisited

David M. Jacobs, Gwyneth Allwright, Mpho Mafune et al. · 2015 · arXiv

At present, the best model for the evolution of the cosmos requires that dark matter make up approximately $25\%$ of the energy content of the Universe. Most approaches to explain the microscopic nature of dark matter, to date, have assumed its composition to be of intrinsically weakly interacting particles; however, this need not be the case to have consistency with all extant observations. Given decades of inconclusive evidence to support any dark matter candidate, there is strong motivation to consider alternatives to the standard particle scenario. One such example is macro dark matter, a

Negative / Null Result ReportOpen accessComputer Science

On the impossibility of a quantum sieve algorithm for graph isomorphism: unconditional results

Cristopher Moore, Alexander Russell, Piotr Sniady · 2006 · arXiv

It is known that any quantum algorithm for Graph Isomorphism that works within the framework of the hidden subgroup problem (HSP) must perform highly entangled measurements across Ω(n \log n) coset states. One of the only known models for how such a measurement could be carried out efficiently is Kuperberg's algorithm for the HSP in the dihedral group, in which quantum states are adaptively combined and measured according to the decomposition of tensor products into irreducible representations. This ``quantum sieve'' starts with coset states, and works its way down towards representations whos

Negative / Null Result ReportOpen accessComputer Science

On Ray Shooting for Triangles in 3-Space and Related Problems

Esther Ezra, Micha Sharir · 2021 · arXiv

We consider several problems that involve lines in three dimensions, and present improved algorithms for solving them. The problems include (i) ray shooting amid triangles in $R^3$, (ii) reporting intersections between query lines (segments, or rays) and input triangles, as well as approximately counting the number of such intersections, (iii) computing the intersection of two nonconvex polyhedra, (iv) detecting, counting, or reporting intersections in a set of lines in $R^3$, and (v) output-sensitive construction of an arrangement of triangles in three dimensions. Our approach is based on the

Negative / Null Result ReportOpen accessComputer Science

Scaling Functions and Superscaling in Medium and Heavy Nuclei

A. N. Antonov, M. V. Ivanov, M. K. Gaidarov et al. · 2006 · arXiv

The scaling function $f(ψ')$ for medium and heavy nuclei with $Z\neq N$ for which the proton and neutron densities are not similar is constructed within the coherent density fluctuation model (CDFM) as a sum of the proton and neutron scaling functions. The latter are calculated in the cases of $^{62}$Ni, $^{82}$Kr, $^{118}$Sn, and $^{197}$Au nuclei on the basis of the corresponding proton and neutron density distributions which are obtained in deformed self-consistent mean-field Skyrme HF+BCS method. The results are in a reasonable agreement with the empirical data from the inclusive electron

Negative / Null Result ReportOpen accessEngineering

How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition

George Sterpu, Christian Saam, Naomi Harte · 2020 · arXiv

Audio-Visual Speech Recognition (AVSR) seeks to model, and thereby exploit, the dynamic relationship between a human voice and the corresponding mouth movements. A recently proposed multimodal fusion strategy, AV Align, based on state-of-the-art sequence to sequence neural networks, attempts to model this relationship by explicitly aligning the acoustic and visual representations of speech. This study investigates the inner workings of AV Align and visualises the audio-visual alignment patterns. Our experiments are performed on two of the largest publicly available AVSR datasets, TCD-TIMIT and

Negative / Null Result ReportOpen accessComputer Science

ArchAgent: Agentic AI-driven Computer Architecture Discovery

Raghav Gupta, Akanksha Jain, Abraham Gonzalez et al. · 2026 · arXiv

Agile hardware design flows are a critically needed force multiplier to meet the exploding demand for compute. Recently, agentic generative AI systems have demonstrated significant advances in algorithm design, improving code efficiency, and enabling discovery across scientific domains. Bridging these worlds, we present ArchAgent, an automated computer architecture discovery system built on AlphaEvolve. We show ArchAgent's ability to automatically design/implement state-of-the-art (SoTA) cache replacement policies (architecting new mechanisms/logic, not only changing parameters), broadly withi

Negative / Null Result ReportOpen accessComputer Science

Fully Dynamic Algorithms for Minimum Weight Cycle and Related Problems

Adam Karczmarz · 2021 · arXiv

We consider the directed minimum weight cycle problem in the fully dynamic setting. To the best of our knowledge, so far no fully dynamic algorithms have been designed specifically for the minimum weight cycle problem in general digraphs. One can achieve $\tilde{O}(n^2)$ amortized update time by simply invoking the fully dynamic APSP algorithm of Demetrescu and Italiano [J. ACM'04]. This bound, however, yields no improvement over the trivial recompute-from-scratch algorithm for sparse graphs. Our first contribution is a very simple deterministic $(1+ε)$-approximate algorithm supporting vertex

Negative / Null Result ReportOpen accessComputer Science

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Amy Zhang, Shagun Sodhani, Khimya Khetarpal et al. · 2020 · arXiv

Many control tasks exhibit similar dynamics that can be modeled as having common latent structure. Hidden-Parameter Markov Decision Processes (HiP-MDPs) explicitly model this structure to improve sample efficiency in multi-task settings. However, this setting makes strong assumptions on the observability of the state that limit its application in real-world scenarios with rich observation spaces. In this work, we leverage ideas of common structure from the HiP-MDP setting, and extend it to enable robust state abstractions inspired by Block MDPs. We derive instantiations of this new framework f

Negative / Null Result ReportOpen accessComputer Science

RECAP: Regression Evaluation for Continual Adaptation of Prompts

Harsh Deshpande, Kushal Chawla, Sangwoo Cho et al. · 2026 · arXiv

Production agentic systems routinely face evolving constraints and must comply from the very next interaction. Scenarios like a tool-call notification changing a compliance threshold or a policy update adding disclosure requirements fit this criteria, having close to no room for errors in production. This proactive adaptation setting is common in deployment, but absent from current benchmarks, which assume either static constraint sets or reactive protocols with evaluation feedback. We introduce RECAP, a benchmark that measures continual-learning phenomena (forgetting, regression, forward tran

Negative / Null Result Report

PELAKSANAAN ASESMEN DALAM PERKEMBNGAN MOTORIK HALUS DI TK PUTRA 1 PALEMBANG

Lidia Oktamarina, Wahidatul Khasanah, Yosi Amanda et al. · 2024 · SIGNIFICANT : Journal Of Research And Multidisciplinary

Penelitian Ini Berjudul Pelaksanaan Asesmen Dalam Perkembngan Motorik Halus Di Tk Putra 1 Palembang. Masalah dalam penelitian ini adalah bagaimana Pelaksanaan Asesmen Dalam Perkembngan Motorik Halus Di Tk Putra 1 Palembang. Penelitian ini…

View details →DOI: 10.62668/significant.v3i01.881
Negative / Null Result Report

Clinically significant bradycardia in children with respiratory syncytial virus bronchiolitis receiving dexmedetomidine: effect modification by mechanical ventilation

Rasha S Farag, Aditya S Kalluri, Geetha Iyer et al. · 2025 · BMJ Paediatrics Open

Background Limited evidence exists on the additive risk of bradycardia in children with respiratory syncytial virus (RSV) bronchiolitis receiving dexmedetomidine (DMED). We aim to study the association between RSV bronchiolitis and…

View details →DOI: 10.1136/bmjpo-2025-003625
Negative / Null Result Report

Cryotherapy Has No Significant Effect on MMP-9 anTGF-β1 Expression in Fungal Corneal Ulcer

Dwita Permatasari, Hendrian Dwikoloso Soebagjo, Ismi Zuhria et al. · 2021 · The Indonesian Biomedical Journal

BACKGROUND: Usually, surgical intervention is needed to eradicate the fungal microorganism that cause fungal corneal ulcers. However, since surgical intervention is invasive, the latest technology uses cryotherapy in treating it.…

View details →DOI: 10.18585/inabj.v13i3.1516
Negative / Null Result ReportOpen accessPhysics

Reconstructing the cosmic Horseshoe gravitational lens using the singular perturbative approach

C. Alard · 2016 · arXiv

The cosmic horseshoe gravitational lens is analyzed using the perturbative approach. The two first order perturbative fields are expanded in Fourier series. The source is reconstructed using a fine adaptive grid. The expansion of the fields at order 2 produces a higher value of the chi-square. Expanding at order 3 provides a very significant improvement, while order 4 does not bring a significant improvement over order 3. The presence of the order 3 terms is not a consequence of limiting the perturbative expansion to the first order. The amplitude and signs of the third order terms are recover

Negative / Null Result Report

PERBANDINGAN STEGANOGRAFI METODE LEAST SIGNIFICANT BIT+3 (LSB+3) DENGAN MOST SIGNIFICANT BIT (MSB)

Jatrya , Sampe Hotlan Sitorus , Uray Ristian · 2020 · Coding Jurnal Komputer dan Aplikasi

Citra telah diterapkan dalam kehidupan sehari-hari. Penerapannya pada bidang kesehatan, pendidikan, hiburan,seni, hukum, dan bisnis. Citra dapat disisipkan pesan rahasia. Penyisipan tersebut disebut sebagai teknik steganografi. Teknik…

View details →DOI: 10.26418/coding.v8i1.39195
Negative / Null Result Report

Assessing the Effect of Subsidy Removal on Cost- Significant Material and Labour within Anambra State Construction Economy

Uchechi Vanessa Alintah-Abel, Francisca Nkachukwu Okeke, Eucharia Chika Enebe · 2025 · British Journal of Multidisciplinary and Advanced Studies

The goal of most countries is the desire to maintain a stable price level of goods and services. This however, appears to be an uphill task given the incidence of subsidy removal that is presently ravaging the developing economies of the…

View details →DOI: 10.37745/bjmas.2022.04253
Negative / Null Result Report

Effect of Broadness of Wave Spectrum on Significant Wave Height and Wave Power for Open Ocean Conditions of the Peru Basin

Dennys De La Torre, Jaime Luyo, Arturo Ortega · 2024 · Journal of Offshore Mechanics and Arctic Engineering

Abstract When estimating significant wave height and wave power, it is regularly assumed 4 for the spectral estimate factor. It means considering a narrowband wave spectrum. That approach is accurate enough when the spectral broadness…

View details →DOI: 10.1115/1.4064501
Negative / Null Result ReportOpen accessPhysics

Oligopeptides' frequencies in the classification of proteins' primary structures

P. Sirabella, A. Giuliani, A. Colosimo · 1998 · arXiv

This paper reports about an approach to the classification of proteins' primary structures taking advantage of the Self Organizing Maps algorithm and of a numerical coding of the aminoacids based upon their physico-chemical properties. Hydrophobicity, volume, surface area, hydrophilicity, bulkiness, refractivity and polarity were subjected to a Principal Component Analysis and the first two principal components, explaining 84.8 % of the total observed variability, were used to cluster the aminoacids into 4 or 5 classes through a k-means algorithm. This leads to an economical representation of

Negative / Null Result Report

ANALISIS PENDIDIKAN KARAKTERISTIK AKHLAK ANAK USIA SD/MI DI ERA SOCIETY 5.0

Indriani Indriani, Astrid Putri Pratiwi, Jauhara Jauhara et al. · 2023 · SIGNIFICANT : Journal Of Research And Multidisciplinary

Upaya menanamkan perilaku yang baik, mulia pada anak merupakan pendidikan karakter pada anak usia dini. Lingkungan dimana anak berada dapat menjadi bagian dari pendidikan karakter anak. Keluarga adalah lingkungan pertama bagi anak sehingga…

View details →DOI: 10.62668/significant.v1i02.650
Negative / Null Result Report

Abstract 4138602: Effect of Left Ventricular Ejection Fraction On Computed Tomography-Derived Fractional Flow Reserve Diagnostic Accuracy For Significant Coronary Artery Disease

Offdan Narvaez-Guerra, Evan Offord, Mawulorm Denu et al. · 2024 · Circulation

Background: Coronary Computed Tomography Angiography (CCTA) and CT-derived fractional flow reserve (CT-FFR) accurately assess the severity of coronary artery disease. However, the diagnostic accuracy of CT-FFR in patients with low left…

View details →DOI: 10.1161/circ.150.suppl_1.4138602
Negative / Null Result ReportOpen accessPhysics

Doping and Defect-Induced Germanene: A Superior Media for Sensing H2S, SO2, and CO2 gas molecules

Md Monirojjaman Monshi, Sadegh Mehdi Aghaei, Irene Calizo · 2017 · arXiv

First-principles calculations based on density functional theory (DFT) have been employed to investigate the structural, electronic, and gas-sensing properties of pure, defected, and doped germanene nanosheets. Our calculations have revealed that while a pristine germanene nanosheet adsorbs CO2 weakly, H2S moderately, and SO2 strongly, the introduction of vacancy defects increases the sensitivity significantly which is promising for future gas-sensing applications.Mulliken population analysis imparts that an appreciable amount of charge transfer occurs between gas molecules and a germanene nan