Cover Image

Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rawat, Shivam, Flek, Lucie
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources
by: Pérez-Díaz, Víctor Samuel, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation Agents for Autonomous Scientific Discovery in Astrophysics
by: Xu, Xueqing, et al.
Published: (2025)

Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction
by: Lin, Hsing Wen, et al.
Published: (2026)

Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA)
by: Pinheiro, Lucas Carrit Delgado, et al.
Published: (2025)

Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case
by: Garrido, J., et al.
Published: (2025)

InferA: A Smart Assistant for Cosmological Ensemble Data
by: Tam, Justin Z., et al.
Published: (2025)

Deep Learning in Astrophysics
by: Ting, Yuan-Sen
Published: (2025)

AstroM$^3$: A self-supervised multimodal model for astronomy
by: Rizhko, Mariia, et al.
Published: (2024)

OmniSpectra: A Unified Foundation Model for Native Resolution Astronomical Spectra
by: Islam, Md Khairul, et al.
Published: (2026)

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
by: Truong, Tuan, et al.
Published: (2025)

AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy
by: Shi, Jinghang, et al.
Published: (2025)

A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys
by: Luo, Yufeng, et al.
Published: (2025)

MARVEL: A Multi Agent-based Research Validator and Enabler using Large Language Models
by: Mukund, Nikhil, et al.
Published: (2026)

Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program
by: Carrasco, Alejandro, et al.
Published: (2024)

Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515
by: Dillmann, Steven, et al.
Published: (2024)

Deep learning insights into cosmological structure formation
by: Lucie-Smith, Luisa, et al.
Published: (2020)

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification
by: Chen, Claire, et al.
Published: (2026)

Explainable machine learning workflows for radio astronomical data processing
by: Yatawatta, S., et al.
Published: (2026)

SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries
by: Anwar, Omar, et al.
Published: (2026)

Natural Language-Driven Global Mapping of Martian Landforms
by: Wang, Yiran, et al.
Published: (2026)

Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe
by: Islam, Md. Khairul, et al.
Published: (2026)

FRTSearch: Unified Detection and Parameter Inference of Fast Radio Transients using Instance Segmentation
by: Zhang, Bin, et al.
Published: (2026)

Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
by: Engel, Andrew, et al.
Published: (2025)

Energy and polarization based on-line interference mitigation in radio interferometry
by: Yatawatta, Sarod, et al.
Published: (2024)

Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach
by: Zhang, Yajie, et al.
Published: (2025)

Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies
by: Jayeprokash, Dishanand, et al.
Published: (2025)

Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
by: Engel, Andrew, et al.
Published: (2024)

Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models
by: Li, Yun Qi, et al.
Published: (2024)

Category-based Galaxy Image Generation via Diffusion Models
by: Fan, Xingzhong, et al.
Published: (2025)

AstroReview: An LLM-driven Multi-Agent Framework for Telescope Proposal Peer Review and Refinement
by: Wang, Yutong, et al.
Published: (2025)

Enhancing the development of Cherenkov Telescope Array control software with Large Language Models
by: Kostunin, Dmitriy, et al.
Published: (2025)

Radio Astronomy in the Era of Vision-Language Models: Prompt Sensitivity and Adaptation
by: Drozdova, Mariia, et al.
Published: (2025)

SuperCode: Sustainability PER AI-driven CO-DEsign
by: Broekema, P. Chris, et al.
Published: (2024)

Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks
by: Smith, Jeffrey, et al.
Published: (2025)

Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
by: Monti, Lorenzo, et al.
Published: (2024)

AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload
by: Ekelund, Jonah, et al.
Published: (2024)

What is the Role of Large Language Models in the Evolution of Astronomy Research?
by: Fouesneau, Morgan, et al.
Published: (2024)

Anomaly detection in radio galaxy data with trainable COSFIRE filters
by: Ndung'u, Steven, et al.
Published: (2025)

AI Agents for Ground-Based Gamma Astronomy
by: Kostunin, D., et al.
Published: (2025)

Temporal Stamp Classifier: Classifying Short Sequences of Astronomical Alerts
by: O., Daniel Neira, et al.
Published: (2024)