Tootfinder

Characterizing Multi-Hunk Patches: Divergence, Proximity, and LLM Repair Challenges
Noor Nashid, Daniel Ding, Keheliya Gallaba, Ahmed E. Hassan, Ali Mesbah
https://arxiv.org/abs/2506.04418

Characterizing Multi-Hunk Patches: Divergence, Proximity, and LLM Repair Challenges
Multi-hunk bugs, where fixes span disjoint regions of code, are common in practice, yet remain underrepresented in automated repair. Existing techniques and benchmarks pre-dominantly target single-hunk scenarios, overlooking the added complexity of coordinating semantically related changes across the codebase. In this work, we characterize HUNK4J, a dataset of multi-hunk patches derived from 372 real-world defects. We propose hunk divergence, a metric that quantifies the variation among edits i…

Check out my latest CSO piece, which examines how Trump’s nominees for national cyber director and CISA director will face shared challenges but different prospects in coping with unprecedented reductions in cyber personnel across the federal government.
Many thanks to Michael Daniel of the Cyber Threat Alliance and Mark Montgomery of FDD for their help and insight.
Daniel made a point about Trump's cutbacks on cyber spending, a situation that most cyber folks haven't see…

Top US cyber officials face divergent paths after Senate confirmation
Following their Senate confirmations, Sean Cairncross and Sean Plankey — Trump’s nominees for national cyber director and CISA director — will face shared challenges but different prospects in coping with unprecedented reductions in cyber personnel across the federal government.

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
https://arxiv.org/abs/2506.03863

STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
Transforming complex actions into discrete skill abstractions has demonstrated strong potential for robotic manipulation. Existing approaches mainly leverage latent variable models, e.g., VQ-VAE, to learn skill abstractions through learned vectors (codebooks), while they suffer from codebook collapse and modeling the causal relationship between learned skills. To address these limitations, we present \textbf{S}kill \textbf{T}raining with \textbf{A}ugmented \textbf{R}otation (\textbf{STAR}), a f…

Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform
Matthew Craigie, Yuan-Sen Ting, Rossana Ruggeri, Tamara M. Davis
https://arxiv.org/abs/2506.05090

Learning Balanced Field Summaries of the Large-Scale Structure with the Neural Field Scattering Transform
We present a cosmology analysis of weak lensing convergence maps using the Neural Field Scattering Transform (NFST) to constrain cosmological parameters. The NFST extends the Wavelet Scattering Transform (WST) by incorporating trainable neural field filters while preserving rotational and translational symmetries. This setup balances flexibility with robustness, ideal for learning in limited training data regimes. We apply the NFST to 500 simulations from the CosmoGrid suite, each providing a t…

source: #USpol

Intrinsic Resolution of Organic Scintillators
O. Smirnov
https://arxiv.org/abs/2506.03208 https://arxiv.org/pdf/2506.03208

Intrinsic Resolution of Organic Scintillators
Fluctuations in photon production within scintillators contribute to the overall energy resolution of scintillation detectors. While typically negligible, this contribution - known as intrinsic resolution (IR) - presents significant challenges for both experimental measurement and Monte Carlo simulation. Using the phenomenological model proposed in~[1], we interpreted multiple datasets of IR measurements in organic scintillators. Although our results generally agree with the IR dataset examined…

A Precise Metallicity and Carbon-to-Oxygen Ratio for a Warm Giant Exoplanet from its Panchromatic JWST Emission Spectrum
Lindsey S. Wiser, Taylor J. Bell, Michael R. Line, Everett Schlawin, Thomas G. Beatty, Luis Welbanks, Thomas P. Greene, Vivien Parmentier, Matthew M. Murphy, Jonathan J. Fortney, Kenny Arnold, Nishil Mehta, Kazumasa Ohno, Sagnick Mukherjee

A Precise Metallicity and Carbon-to-Oxygen Ratio for a Warm Giant Exoplanet from its Panchromatic JWST Emission Spectrum
WASP-80 b, a warm sub-Jovian (equilibrium temperature ~820 K, 0.5 Jupiter masses), presents an opportunity to characterize a rare gas giant exoplanet around a low-mass star. In addition, its moderate temperature enables its atmosphere to host a range of carbon and oxygen species (H$_2$O, CH$_4$, CO, CO$_2$, NH$_3$). In this paper, we present a panchromatic emission spectrum of WASP-80 b, the first gas giant around a late K/early M-dwarf star and the coolest planet for which the James Webb Space…

Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
John J. Dziak, Inbal Nahum-Shani
https://arxiv.org/abs/2506.03054 https://

Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
Background: An adaptive intervention (ADI) uses individual information in order to select treatment, to improve effectiveness while reducing cost and burden. ADIs require tailoring variables: person- and potentially time-specific information used to decide whether and how to deliver treatment. Specifying a tailoring variable for an intervention requires specifying what to measure, when to measure it, when to make the resulting decisions, and what cutoffs should be used in making those decisions…

A Hybrid DEC-SIE Framework for Potential-Based Electromagnetic Analysis of Heterogeneous Media
Amgad Abdrabou, Luis J. Gomez, Weng Cho Chew
https://arxiv.org/abs/2507.02099

A Hybrid DEC-SIE Framework for Potential-Based Electromagnetic Analysis of Heterogeneous Media
Analyzing electromagnetic fields in complex, multi-material environments presents substantial computational challenges. To address these, we propose a hybrid numerical method that couples discrete exterior calculus (DEC) with surface integral equations (SIE) in the potential-based formulation of Maxwell's equations. The method employs the magnetic vector and electric scalar potentials ($\mathbf{A}$-$Φ$) under the Lorenz gauge, offering natural compatibility with multi-physics couplings and inh…

Context-Aware Code Wiring Recommendation with LLM-based Agent
Taiming Wang, Yanjie Jiang, Chunhao Dong, Yuxia Zhang, Hui Liu
https://arxiv.org/abs/2507.01315

Context-Aware Code Wiring Recommendation with LLM-based Agent
Copy-paste-modify is a widespread and pragmatic practice in software development, where developers adapt reused code snippets, sourced from platforms such as Stack Overflow, GitHub, or LLM outputs, into their local codebase. A critical yet underexplored aspect of this adaptation is code wiring, which involves substituting unresolved variables in the pasted code with suitable ones from the surrounding context. Existing solutions either rely on heuristic rules or historical templates, often faili…