Tootfinder

Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization
Songjun Tu, Qichao Zhang, Jingbo Sun, Yuqian Fu, Linjing Li, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Dongbin Zhao
https://arxiv.org/abs/2509.21854

Perception-Consistency Multimodal Large Language Models Reasoning via Caption-Regularized Policy Optimization
While multimodal large language models excel at tasks that integrate visual perception with symbolic reasoning, their performance is often undermined by a critical vulnerability: perception-induced errors that propagate through the reasoning chain. Current reinforcement learning (RL) fine-tuning methods, while enhancing reasoning abilities, largely fail to address the underlying misalignment between visual grounding and the subsequent reasoning process. To address this challenge, we propose \te…

Time-diffracting 2D wave vortices
Boris A. Khanikati, Konstantin Y. Bliokh
https://arxiv.org/abs/2510.10147 https://arxiv.org/pdf/2510.10147

Time-diffracting 2D wave vortices
Wave vortices constitute a large family of wave entities, closely related to phase singularities and orbital angular momentum (OAM). So far, two main classes of localized wave vortices have been explored: (i) transversely-localized monochromatic vortex beams that carry well-defined longitudinal OAM and propagate/diffract in space, and (ii) 2D-localized spatiotemporal vortex pulses that carry the more elusive transverse (or tilted) OAM and propagate/diffract in both space and time. Here we intro…

For Barthes's Garbo's face was the archetype, the Idea, singular, irreproducible, antimemetic even—you couldn't become Garbo, only behold her. Kardashian face is maximally memetic—unattractive and empty, it means nothing, it only exists to be copied, to propagate across millions of other faces.

Remote Interference Mitigation through Null Precoding and Fractional Programming
Xuyang Sun, Hussein A. Ammar, Israfil Bahceci, Raviraj Adve, Gary Boudreau, Zehua Li
https://arxiv.org/abs/2510.09989

Remote Interference Mitigation through Null Precoding and Fractional Programming
With the rapid deployment of 5G systems, remote interference (RI) caused by atmospheric ducting has emerged as an occasional, but critical challenge. This phenomenon occurs when the downlink (DL) signals from distant base stations (BSs) propagate over long distances through tropospheric ducting, severely disrupting uplink (UL) reception at local BSs. To address this challenge, we analyze the effect of RI on network performance, including the channel estimation phase. We then develop a solution …

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
Lang Qin, Zijian Gan, Xu Cao, Pengcheng Jiang, Yankai Jiang, Jiawei Han, Kaishun Wu, Jintai Chen
https://arxiv.org/abs/2510.05764

RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
Computational drug repurposing for rare diseases is especially challenging when no prior associations exist between drugs and target diseases. Therefore, knowledge graph completion and message-passing GNNs have little reliable signal to learn and propagate, resulting in poor performance. We present RareAgent, a self-evolving multi-agent system that reframes this task from passive pattern recognition to active evidence-seeking reasoning. RareAgent organizes task-specific adversarial debates in w…

Remarks on propagation of discontinuities in stationary radiative transfer
Daisuke Kawagoe
https://arxiv.org/abs/2510.12130 https://arxiv.org/pdf/2510.1213…

Remarks on propagation of discontinuities in stationary radiative transfer
We consider the stationary transport equation with the incoming boundary condition. We are interested in discontinuities of the solution. Under the generalized convexity condition, it is known that it has only boundary-induced discontinuities, which are discontinuities arising from discontinuous boundary data, they propagate along positive characteristic lines, and we can reconstruct the attenuation coefficient from boundary measurements by the inverse X-ray transform. In this article, we obser…

PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization
Jushan Chen, Santiago Paternain
https://arxiv.org/abs/2510.04436 https://arxiv.o…

PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization
Recently, diffusion models have gained popularity and attention in trajectory optimization due to their capability of modeling multi-modal probability distributions. However, addressing nonlinear equality constraints, i.e, dynamic feasi- bility, remains a great challenge in diffusion-based trajectory optimization. Recent diffusion-based trajectory optimization frameworks rely on a single-shooting style approach where the denoised control sequence is applied to forward propagate the dynamical sy…

Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model
Hyun-kyu Ko, Youbin Kim, Jihyeon Park, Dongheok Park, Gyeongjin Kang, Wonjun Cho, Hyung Yi, Eunbyung Park
https://arxiv.org/abs/2510.00862

Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model
State Space Models (SSMs)-most notably RNNs-have historically played a central role in sequential modeling. Although attention mechanisms such as Transformers have since dominated due to their ability to model global context, their quadratic complexity and limited scalability make them less suited for long sequences. Video super-resolution (VSR) methods have traditionally relied on recurrent architectures to propagate features across frames. However, such approaches suffer from well-known issue…

GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search
Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang
https://arxiv.org/abs/2510.10581

GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search
Multi-agent systems powered by Large Language Models excel at complex tasks through coordinated collaboration, yet they face high failure rates in multi-turn deep search scenarios. Existing temporal attribution methods struggle to accurately diagnose root causes, particularly when errors propagate across multiple agents. Attempts to automate failure attribution by analyzing action sequences remain ineffective due to their inability to account for information dependencies that span agents. This …

An automated probabilistic asteroid prediscovery pipeline
Sage Li, Alex Geringer-Sameth, Nathan Golovich
https://arxiv.org/abs/2510.07588 https://arxiv.org…

An automated probabilistic asteroid prediscovery pipeline
We present an automated and probabilistic method to make prediscovery detections of near-Earth asteroids (NEAs) in archival survey images, with the goal of reducing orbital uncertainty immediately after discovery. We refit Minor Planet Center astrometry and propagate the full six-parameter covariance to survey epochs to define search regions. We build low-threshold source catalogs for viable images and evaluate every detected source in a search region as a candidate prediscovery. We eliminate f…

Propagation and Energy Dissipation of Shock Waves in the Solar Chromosphere
Ravi Chaurasiya, 1 Ankala Raja Bayanna, 1 Robertus Erd\'elyi
https://arxiv.org/abs/2510.00724 htt…

Propagation and Energy Dissipation of Shock Waves in the Solar Chromosphere
The solar atmosphere is permeated by various types of waves that originate from subsurface convection. As these waves propagate upward, they encounter they encounter a steep decrease in the density of the medium, leading to their steepening into shock waves. These shock waves typically exhibit a characteristic sawtooth pattern in wavelength-time ($λ$-t) plots of various chromospheric spectral lines, viz., H$α$, Ca II 8542 Å to name a few. In this study, we investigate the propagation of shoc…

A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
Sahab Zandi, Kamesh Korangi, Juan C. Moreno-Paredes, Mar\'ia \'Oskarsd\'ottir, Christophe Mues, Cristi\'an Bravo
https://arxiv.org/abs/2510.09407

A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
Small and Medium-sized Enterprises (SMEs) are known to play a vital role in economic growth, employment, and innovation. However, they tend to face significant challenges in accessing credit due to limited financial histories, collateral constraints, and exposure to macroeconomic shocks. These challenges make an accurate credit risk assessment by lenders crucial, particularly since SMEs frequently operate within interconnected firm networks through which default risk can propagate. This paper p…

Models of topological barriers and molecular motors of bacterial DNA
Marc Joyeux
https://arxiv.org/abs/2510.05790 https://arxiv.org/pdf/2510.05790

Models of topological barriers and molecular motors of bacterial DNA
Bacterial genomes are partitioned into kilobases long domains that are topologically independent from each other, meaning that change of DNA superhelicity in one domain does not propagate to neighbours. This is made possible by proteins like the LacI repressor, which behave like topological barriers and block the diffusion of torsion along the DNA. Other proteins, like DNA gyrases and RNA polymerases, called molecular motors, use the energy released by the hydrolysis of ATP to apply forces and/…

Real Time Fatigue Crack Growth Monitoring Using High Precision Control and Data Acquisition Systems
Arev Hambardzumyan, Rafayel Ghasabyan
https://arxiv.org/abs/2509.23710 https:…

Real Time Fatigue Crack Growth Monitoring Using High Precision Control and Data Acquisition Systems
Fatigue cracks may initiate and propagate long before a structural component reaches the end of its nominal life. Detecting and quantifying crack growth in real time is critical for avoiding catastrophic failures in aerospace structures, nuclear reactors and civil infrastructure. This research reviews four widely used crack growth monitoring techniques: digital image correlation (DIC), acoustic emission (AE), compliance based methods and direct current potential drop (DCPD). The research evalua…

Benchmarking Diarization Models
Luca A. Lanzend\"orfer, Florian Gr\"otschla, Cesare Blaser, Roger Wattenhofer
https://arxiv.org/abs/2509.26177 https://

Benchmarking Diarization Models
Speaker diarization is the task of partitioning audio into segments according to speaker identity, answering the question of "who spoke when" in multi-speaker conversation recordings. While diarization is an essential task for many downstream applications, it remains an unsolved problem. Errors in diarization propagate to downstream systems and cause wide-ranging failures. To this end, we examine exact failure modes by evaluating five state-of-the-art diarization models, across four diarization…

Path-Based Correlation Analysis of Meteorological Factors and eLoran Signal Delay Variations
Junwoo Song, Pyo-woong Son
https://arxiv.org/abs/2509.26020 https://

Path-Based Correlation Analysis of Meteorological Factors and eLoran Signal Delay Variations
Unlike GNSS, which is vulnerable to jamming and spoofing due to its inherently weak received power, eLoran exhibits robustness owing to its high field strength. Therefore, the eLoran system can maintain reliable operation even in scenarios where GNSS becomes unavailable. However, since eLoran signals propagate through ground waves, the propagation delay is susceptible to changes in surface conditions, including both terrain and meteorological variations. This study aims to analyze the correlati…

Steady state of fast-oscillating neutrinos in an inhomogeneous medium
Manuel Goimil-Garc\'ia, Irene Tamborra
https://arxiv.org/abs/2509.22805 https://a…

Steady state of fast-oscillating neutrinos in an inhomogeneous medium
The streaming of neutrinos in an inhomogeneous medium is known to affect the physics of flavor conversion. We employ an ensemble of single-crossed angular distributions and explore the physics of flavor conversion, while neutrinos propagate across a one-dimensional inhomogeneous medium. The advective term in the neutrino equations of motion is responsible for the cascade of flavor waves towards ever smaller spatial and angular scales. However, as the system evolves, perturbations with large wav…

CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
Yifan Yu, Moyan Li, Shaoyuan Xu, Jinmiao Fu, Xinhai Hou, Fan Lai, Bryan Wang
https://arxiv.org/abs/2509.24088

CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systems
Multi-agent systems (MAS) are increasingly capable of tackling complex real-world tasks, yet their reliance on inter-agent coordination, tool use, and long-horizon reasoning makes error recognition particularly challenging. Minor errors can propagate across agents, escalating into task failures while producing long, intertwined execution trajectories that impose significant costs for both human developers and automated systems to debug and analyze. Our key insight is that, despite surface diffe…