Daily ArXiv

A curated collection of arXiv papers with open-source implementations, specifically focusing on Signal Processing (eess.SP) and Information Theory (cs.IT) categories. This repository is designed to serve researchers and practitioners in information and communication systems by providing easy access to papers that come with their source code implementations.

Overview

This project automatically tracks and analyzes papers from eess.SP (Electrical Engineering and Systems Science - Signal Processing) and cs.IT (Computer Science - Information Theory) categories on arXiv daily using GitHub Actions. It specifically identifies and catalogs papers that have released their source code, making it easier for researchers in information and communication systems to find implementable research work.

The main features include:

• Daily updates of papers with open-source implementations
• Focus on signal processing and information theory research
• Automatic tracking and organization

Latest Updates

date	paper	code
2502.13870	spex: scaling feature interaction explanations for llms	spectral-explain
2502.12814	dimension reduction methods, persistent homology and machine learning for eeg signal analysis of interictal epileptic discharges	dyca
2502.10426	musical score following using statistical inference	Score-follower
2502.11686	parallel-in-time kalman smoothing using orthogonal transformations	ultimate-kalman
2502.11487	non-binary ldpc arithmetic error correction for processing-in-memory	nbldpc_pim
2502.11984	blank space: adaptive causal coding for streaming communications over multi-hop networks	MH_NC
2502.06239	pre-equalization aided grant-free massive access in massive mimo system	tvt-2025
2502.10371	cissir: beam codebooks with self-interference reduction guarantees for integrated sensing and communication beyond 5g	cissir
2502.10070	topological neural networks over the air	AirTNN
2502.10178	from markov to laplace: how mamba in-context learns markov chains	Markov-Mamba

Archives

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