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Econstellar: An Open-Source AI-Augmented Research Engine for Computational Financial Econometrics

arXiv:2606.05705v1 Announce Type: cross Abstract: Turning a promising economic idea into a credible empirical finding is, in practice, an expensive undertaking: it demands a great deal of specialised computation, and the results are seldom released in a form that others can check or build upon. Econstellar is our response.

arXiv CS 5d ago

Puffin-Backed Vector Indexes: Attaching Approximate Nearest Neighbor Indexes to Apache Iceberg Snapshots for Compute-Disaggregated Query Engines

arXiv:2606.04196v1 Announce Type: new Abstract: We describe a design pattern and concrete implementation for embedding distributed approximate nearest neighbor indexes inside the Apache Iceberg table format, using the Puffin sidecar file as the storage container and the snapshot summary as the binding mechanism. Modern analytical query engines increasingly adopt a compute disaggregated architecture: executors are stateless, scale elastically, and read all data from object storage. Adding...

arXiv CS 6d ago

Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering

Computer Science > Software Engineering [Submitted on 20 Jan 2026] Title:Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering View PDF HTML (experimental)Abstract:LLM-based Multi-Agent (LLM-MA) systems are increasingly applied to automate complex software engineering tasks such as requirements engineering, code generation, and testing.

Hacker News 3d ago

Computational Modeling of Human Adaptation in Urban Infrastructure Management under Extreme Conditions: A Case Study of Subway Flood Scenarios

arXiv:2606.06429v1 Announce Type: new Abstract: Decision-making in urban infrastructure management during extreme events relies heavily on human operators, yet current computational support systems often fail to account for non-monotonic human adaptation and latent psychological biases like overconfidence and defensive overcorrection. This study addresses this gap by integrating Instance-Based Learning Theory (IBLT) into the domain of civil engineering computing. We establish a computational...

arXiv CS 5d ago

Neural Low-Discrepancy Sequences

Announce Type: replace Abstract: Low-discrepancy points are designed to efficiently fill the space in a uniform manner. This uniformity is highly advantageous in many problems in science and engineering, including in numerical integration, computer vision, machine perception, computer graphics, machine learning, and simulation. Whereas most previous low-discrepancy constructions rely on abstract algebra and number theory, Message-Passing Monte Carlo (MPMC) was recently introduced to exploit...

arXiv CS 8d ago

Sequential Subspace Mode Adaptation for the Reduced-Order Homogenization of Dissipative Microstructures using E3C Hyper-Reduction

arXiv:2606.02089v1 Announce Type: new Abstract: Three-dimensional inelastic computational homogenization of complex engineering components requires a multitude of nonlinear microstructural simulations, making it computationally expensive. This work investigates a projection-based model order reduction (pMOR) method with 'Sequential Subspace Mode Adaptation', which can be easily integrated into existing codes using linear subspaces. Starting with a 'conventional' linear subspace strain...

arXiv Physics 8d ago

Analysis-Driven Procedural Generation of an Engine Sound Dataset with Embedded Control Annotations

arXiv:2603.07584v2 Announce Type: replace Abstract: Computational engine sound modeling is central to the automotive audio industry, particularly for active sound design applications and virtual prototyping. Emerging data-driven engine sound synthesis methods require large volumes of standardized, clean audio recordings with precisely time-aligned operating-state annotations: data that is difficult to obtain due to high costs, specialized measurement equipment requirements, and inevitable...

arXiv CS 6d ago

HP re-releases classic computer science calculator: The HP-16C

| Best used for: | Programming; Computer science; Logic design; Engineering | | Entry-system logic: | RPN (Reverse Polish Notation) | | Keyboard: | Numeric, with dedicated base mode keys (HEX, DEC, OCT, BIN) | | Advanced functions: | Integer arithmetic, bitwise operations, logical tests, base conversions (HEX/DEC/OCT/BIN), word-size control (1–64 bits), floating-point math, keystroke programming, conditional branching, subroutines, flags | | Memory registers: | 99 | | Program memory: | 203 B...

Hacker News 7d ago

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation

Announce Type: replace Abstract: Structural modeling is a fundamental component of computational engineering science, in which even minor physical inconsistencies or specification violations may invalidate downstream simulations. The potential of large language models (LLMs) for automatic generation of modeling code has been demonstrated. However, non-executable or physically inconsistent outputs remain prevalent under stringent engineering constraints.

arXiv CS 8d ago