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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.

1898 results for "Mpro" · page 51 of 64

Negative / Null Result ReportOpen accessComputer Science

Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming

Victor Lagerkvist, Johanna Groven, Leif Eriksson · 2026 · arXiv

The region connection calculus ($RCC$) and Allen's interval algebra ($IA$) are two well-known NP-hard spatial-temporal qualitative reasoning problems. They are solvable in $2^{O(n \log n)}$ time, where $n$ is the number of variables, and $IA$ is additionally known to be solvable in $o(n)^n$ time. However, no improvement over exhaustive search is known for $RCC$, and if they are also solvable in single exponential time $2^{O(n)}$ is unknown. We investigate multiple avenues towards reaching such bounds. First, we show that branching is insufficient since there are too many non-redundant constrai

Negative / Null Result ReportOpen accessComputer Science

Bounded Memory Active Learning through Enriched Queries

Max Hopkins, Daniel Kane, Shachar Lovett et al. · 2021 · arXiv

The explosive growth of easily-accessible unlabeled data has lead to growing interest in active learning, a paradigm in which data-hungry learning algorithms adaptively select informative examples in order to lower prohibitively expensive labeling costs. Unfortunately, in standard worst-case models of learning, the active setting often provides no improvement over non-adaptive algorithms. To combat this, a series of recent works have considered a model in which the learner may ask enriched queries beyond labels. While such models have seen success in drastically lowering label costs, they tend

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

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 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

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

Failed Experiment Report

The Ross procedure for recurrently failed aortic valve procedures

· 2024 · Multimedia Manual of Cardio-Thoracic Surgery

The Ross procedure provides young patients with unrepairable aortic valve disease with a living pulmonary autograft that confers significant survival benefit and improved quality of life. However, the procedure is complicated, and surgeons…

View details →DOI: 10.1510/mmcts.2024.095
Negative / Null Result Report

FP10.6 Hip Arthroscopy for Femoroacetabular Impingement Syndrome Demonstrates Significant Improvements in Patient-Reported Outcomes with No Difference in Reoperation Rates in Patients Over 50-Years Old at Minimum 10-Year Follow-Up

Larry Chen, Emily Berzolla, Griffith Gosnell et al. · 2025 · Journal of Hip Preservation Surgery

Abstract Background While hip arthroscopy (HA) has improved outcomes in femoroacetabular impingement syndrome (FAIS), advanced age has been considered a negative predictor of outcomes. The purpose of this study was to evaluate long-term…

View details →DOI: 10.1093/jhps/hnaf069.053
Negative / Null Result Report

ChatGPT: Significant Systemic Limitations and Opportunities for Improvement

Rosario Milelli · 2026 · Journal of Artificial Intelligence, Virtual Reality, and Human-Centered Computing

ChatGPT, developed by OpenAI, has become a central tool in my professional workflow, supporting scholarly research, editorial writing, and creative projects. Drawing on extensive practical use, this perspective highlights both its…

View details →DOI: 10.66311/3069-2318.02.01.02
Negative / Null Result Report

Obesity‐resistant rats demonstrate enhanced energy sensing and metabolism

Timothy Daniel Allerton, Stefany D. Primeaux · 2013 · The FASEB Journal

The propensity for some individuals to develop obesity has been linked to intake of a high fat diet (HFD) and physical inactivity. However, some individuals resist obesity through improved energy sensing and other compensatory measures to…

View details →DOI: 10.1096/fasebj.27.1_supplement.1153.5
Negative / Null Result ReportOpen accessMathematics

Counting Square-full Solutions to $x+y=z$

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 $aX^3+bY^3=cZ^3$.

Negative / Null Result ReportOpen accessMathematics

A new upper bound on the smallest counterexample to the Mertens conjecture

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].

Negative / Null Result ReportOpen accessComputer Science

WiFi-based Global Localization in Large-Scale Environments Leveraging Structural Priors from osmAG

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

Replication FailureOpen accessComputer Science

Quantum Corrections to Baryon Properties in Chiral Soliton Models

Frank Meier, Hans Walliser · 1996 · arXiv

We present a procedure to calculate 1-loop graphs in the soliton sector of chiral Lagrangians and use it to calculate quantum corrections to certain baryon observables in Skyrme-type models. Results generally show an improvement over the values obtained in tree approximation except for the case of the axial coupling g_A.

Negative / Null Result ReportOpen accessPhysics

Incorporating intrinsic compressibility effects in velocity transformations for wall-bounded turbulent flows

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.

Negative / Null Result ReportOpen accessComputer Science

PluriHopRAG: Exhaustive, Recall-Sensitive QA Through Corpus-Specific Document Structure Learning

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

Failed Experiment ReportOpen accessEngineering

Timing-Error Optimized Architecture for Current-Steering DACs

Ramin Babaee, Shahab Oveis Gharan, Martin Bouchard · 2025 · arXiv

We propose a novel digital-to-analog converter (DAC) weighting architecture that statistically minimizes the distortion caused by random timing mismatches among current sources. To decode the DAC input codewords into corresponding DAC switches, we present three algorithms with varying computational complexities. We perform high-level Matlab simulations to illustrate the dynamic performance improvement over the segmented structure.

Negative / Null Result ReportOpen accessComputer Science

Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories

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

Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

The Trade-off Between Minimal Instability and Larger Improvements over Deferred Acceptance

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

Negative / Null Result ReportOpen accessComputer Science

On the negative-result experiments in quantum mechanics

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

Negative / Null Result ReportOpen accessComputer Science

A Negative Result on Gradient Matching for Selective Backprop

Lukas Balles, Cedric Archambeau, Giovanni Zappella · 2023 · arXiv

With increasing scale in model and dataset size, the training of deep neural networks becomes a massive computational burden. One approach to speed up the training process is Selective Backprop. For this approach, we perform a forward pass to obtain a loss value for each data point in a minibatch. The backward pass is then restricted to a subset of that minibatch, prioritizing high-loss examples. We build on this approach, but seek to improve the subset selection mechanism by choosing the (weighted) subset which best matches the mean gradient over the entire minibatch. We use the gradients w.r

Negative / Null Result ReportOpen accessComputer Science

When Skills Don't Help: A Negative Result on Procedural Knowledge for Tool-Grounded Agents in Offensive Cybersecurity

Samuel Jacob Chacko, James Hugglestone, Chashi Mahiul Islam et al. · 2026 · arXiv

Agent Skills, structured packages of procedural knowledge loaded into an LLM agent at inference time, are widely reported to improve task pass rates by an average of 16.2~percentage points across diverse domains. Yet the same benchmarks show wide variance, with 16 of 84 tasks suffering negative deltas when Skills are introduced. The community has not yet articulated a clean mechanism for \emph{when} Skills help and when they are merely redundant overhead. We re-analyze a recently published 180-run controlled study of an MCP-grounded autonomous Capture-the-Flag (CTF) agent under four documentat

Negative / Null Result ReportOpen accessComputer Science

Demystifying Lipschitz verification: positive matrices, negative results

Simon Kuang, Yuezhu Xu, S. Sivaranjani et al. · 2026 · arXiv

The global Lipschitz constant of a neural network is related to robustness and generalization, yet unlike in many classical models, it is not plainly legible from the parameters. This has motivated sophisticated verification algorithms, especially semidefinite programming (SDP) based on incremental quadratic constraints on the activation functions, to improve on the fast but often loose product of layerwise Lipschitz constants (the trivial bound). We ask why Lipschitz verification is a problem in the first place. Our answer is that the difficulty is structural: estimating a network's Lipschitz