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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...
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.
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.
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...
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.
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...
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...
Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers
arXiv:2606.02623v1 Announce Type: new Abstract: Solving time-dependent partial differential equations (PDEs) is an important problem in computational science and engineering. Physics-informed neural networks (PINNs) learn PDE solutions from governing equations. However, accurately capturing temporal evolution remains challenging.
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
Announce Type: replace Abstract: Achieving robust perception-reasoning synergy is a central goal for advanced Vision-Language Models (VLMs). Recent advancements have pursued this goal via architectural designs or agentic workflows. However, these approaches are often limited by static textual reasoning or complicated by the significant compute and engineering burden of external agentic complexity.
Unstructured Mesh Tools for Fusion Energy System Design
new Abstract: The execution of accurate simulations of fusion energy systems requires the appropriate representation of critical component geometries as well as the coupling of complex fusion physics codes with one another and with engineering analysis tools. This paper examines the challenges of creating simulation workflows that fully leverage existing fusion research codes while integrating them with commercial computer-aided engineering (CAE) software. Key areas addressed include: (a)...