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Interdisciplinary & Society
Economics, finance, engineering and the social sciences share preprints on arXiv, and papers in chemistry and the earth sciences reach ReadSearch through OpenAlex. This page shows the newest papers ReadSearch has read in them.
The newest 1,000 papers, from 8 October 2026 to 5 November 2026: 997 arXiv preprints and 3 OpenAlex records.
Newest papers, page 16
A Rate-Distortion Optimized Skip Mode Coding Framework for Neural Video Compression in AVS
With the development of deep learning, neural video compression (NVC) is gaining increasing interest and is currently under standardization in the AVS (Audio Video Coding Standard).Does Vendor Image Processing Matter? Learning Echocardiography Display Appearance from Native Beamspace Data
Most echocardiography datasets contain vendor-processed images, but processing is often undocumented and may affect model performance and robustness.VC-1K: A Diverse Video Test Set for Real-Time Communication
We introduce Video Conferencing 1000 (VC-1K), an open-source test set comprising approximately 1,000 video sequences specifically designed for evaluating video processing and encoding pipelines in…Spectral and Conformal: Neural Network Methods for Calibrated Trajectory Prediction and Control-Point Intervals
Autonomous systems that navigate their environment need methods to quickly assess the feasibility and safety of desired trajectories.Directional Dual-Head Supervision for Real-Time Source-Free Polyp Segmentation
Source-free domain adaptation (SFDA) is critical for medical image segmentation as it adapts a model to an unlabeled target domain without accessing source data, thereby preserving data privacy.One Waveform, Two Stories: Benchmarking Speech-Acoustic Conflict in Audio-Language Models
Audio-language models (ALMs) are evaluated on their understanding of both speech and environmental sounds.C3: Speech-Guided KV Retrieval for Long-Context SpeechLLM Inference
Speech language models encode audio at a much higher rate than text, causing the KV cache to dominate the memory, bandwidth, and decoding cost of long-form generation.Reading the Count: Prediction Markets and Brazil's 2026 Presidential Election
We rebuild the public count of Brazil's 2026 presidential runoff minute by minute from the electoral court's section-level records and compare it with every trade on Kalshi and Polymarket.Exploring Collaborative Debating Models for the future of science
AI is expanding what researchers can produce.Measurement-angle control of a continuously monitored quantum oscillator: purification limits and optimal protocols
We study the dynamic purification of a continuously monitored quantum harmonic oscillator coupled to a thermal bath, where the control is the quadrature measurement angle of up to two detectors with…Security and Derivative Pricing with Fast Regime Switches
A regime-switching model lets any parameter of a standard model take a different value in each state of a hidden Markov chain.Unlocking with the Heart: Investigating User Perceptions of ECG-Based Biometric Authentication
Password-based authentication remains challenging for many users, especially for those who face usability and accessibility issues.REALM: Identifying Minimal Task Assets for LLM Agents
Large language model (LLM) agents often receive access to more files, accounts, and services than a task requires.Reading-Level Verification of Kanji Words in Japanese Financial Speech Synthesis
Few-shot voice cloning makes it cheap to produce daily Japanese financial commentary with several synthetic speakers, but kanji words with more than one reading, such as the word for "market" (shijo…Persistence of Bounded Rationality in Financial Markets: An Evolutionary Game-Theoretic Model
Classical theory predicts that irrational traders lose money to rational traders and are eventually driven out of the market.Sparse Autoencoders as Implicit Diversification Regularisers for Cross-Sectional Cryptocurrency Returns
Factor models are central to asset pricing and portfolio construction, but neural factors are often difficult to interpret, and their effect on portfolio risk is unclear.BEVLight: Generalizable Traffic Signal Control from UAV Bird's-Eye Views
Learning-based traffic signal control (TSC) has achieved promising performance, but most methods rely on structured traffic states that must be estimated from sensor observations in real deployments.Limit Theorems and Optimal Policies for Flock Flight through Poisson Forests
Inspired by birds flying through cluttered environments, Karaman and Frazzoli showed that high-speed flight through an ergodic random forest exhibits an ultimate speed limit: above a critical speed…Information-Driven Collaborative Autonomy for Heterogeneous UAV/UGV Teams
This paper considers coordinating a heterogeneous team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) traversing a domain containing an unknown number of potentially…UMI-Live for In-The-Wild Bimanual Robotics Data Collection
Universal Manipulation Interface (UMI) devices allow human experts to demonstrate tasks for robot learning without teleoperating physical robots.
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