Tootfinder

"Live and Let Die: Rethinking Personal Digital Archiving, Memory, and Forgetting Through a Library Lens" https://lil.law.harvard.edu/blog/2025/08/20/live-and-let-die-rethinking-personal-digit…

Bellingcat has just launched a major new update to our Auto Archiver tool, simplifying the process of archiving online content for individuals or teams.
https://www.bellingcat.com/resources/2025/08/13/the-open-source-to…

The Open Source Tool That Has Preserved 150,000 Pieces of Online Evidence - bellingcat
Bellingcat’s Auto Archiver is a tool aimed at preserving online digital content before it can be modified, deleted or taken down

Evaluation of Objective Image Quality Metrics for High-Fidelity Image Compression
Shima Mohammadi, Mohsen Jenadeleh, Jon Sneyers, Dietmar Saupe, Jo\~ao Ascenso
https://arxiv.org/abs/2509.13150

Evaluation of Objective Image Quality Metrics for High-Fidelity Image Compression
Nowadays, image compression solutions are increasingly designed to operate within high-fidelity quality ranges, where preserving even the most subtle details of the original image is essential. In this context, the ability to detect and quantify subtle compression artifacts becomes critically important, as even slight degradations can impact perceptual quality in professional or quality sensitive applications, such as digital archiving, professional editing and web delivery. However, the perfor…

The voices of our Palestinian friends and families in Gaza Verified will live on forever and bear witness to Israel’s genocide thanks to Fabio’s work in archiving their posts from the fediverse.
If you’re technically savvy and want to help, you can host a copy of the Gaza Verified Archive.
Thank you, Fabio.
💕
#GazaVerified

@… just dropped a fresh :hledger: #hledger 1.50 release, and it's PACKED with beautiful stuff! 🤩
https://

Release 1.50 · simonmichael/hledger
Release notes Better transaction balancing, include improvements, auto posting account interpolation, csv data commands, import archiving, timeclock improvements, fixes hledger 1.50 Breaking chang...

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
https://arxiv.org/abs/2508.16993

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Evolutionary Algorithms (EAs) have become the most popular tool for solving widely-existed multi-objective optimization problems. In Multi-Objective EAs (MOEAs), there is increasing interest in using an archive to store non-dominated solutions generated during the search. This approach can 1) mitigate the effects of population oscillation, a common issue in many MOEAs, and 2) allow for the use of smaller, more practical population sizes. In this paper, we analytically show that the archive can …

Interoperable verification and dissemination of software assets in repositories using COAR Notify
Matteo Cancellieri, Martin Docekal, David Pride, Morane Gruenpeter, David Douard, Petr Knoth
https://arxiv.org/abs/2508.02335

Interoperable verification and dissemination of software assets in repositories using COAR Notify
The discoverability, attribution, and reusability of open research software are often hindered by its obscurity within academic manuscripts. To address this, the SoFAIR project (2024-2025) introduces a comprehensive workflow leveraging machine learning tools for extracting software mentions from research papers. The project integrates repository systems, authors, and services like HAL and Software Heritage to ensure proper archiving, citation, and accessibility of research software in alignment…

Standardized Machine-Readable Point-Data Format for Consolidating Wireless Propagation Across Environments, Frequencies, and Institutions
Dipankar Shakya, Naveed A. Abbasi, Mingjun Ying, Isha Jariwala, Jason J. Qin, Ishaan S. Gupte, Bridget Meier, Guanyue Qian, Daniel Abraham, Theodore S. Rappaport, Andreas F. Molisch
https://arxiv.org/abs…

Standardized Machine-Readable Point-Data Format for Consolidating Wireless Propagation Across Environments, Frequencies, and Institutions
The necessity of new spectrum for 6G has intensified global interest in radio propagation measurements across emerging frequency bands, use cases, and antenna types. These measurements are vital for understanding radio channel properties in diverse environments, and involve time-consuming and expensive campaigns. A major challenge for the effective utilization of propagation measurement data has been the lack of a standardized format for reporting and archiving results. Although organizations s…

FlowCrypt: Flow-Based Lightweight Encryption with Near-Lossless Recovery for Cloud Photo Privacy
Xiaohui Yang, Ping Ping, Feng Xu
https://arxiv.org/abs/2509.18696 https://

FlowCrypt: Flow-Based Lightweight Encryption with Near-Lossless Recovery for Cloud Photo Privacy
The widespread adoption of smartphone photography has led users to increasingly rely on cloud storage for personal photo archiving and sharing, raising critical privacy concerns. Existing deep learning-based image encryption schemes, typically built upon CNNs or GANs, often depend on traditional cryptographic algorithms and lack inherent architectural reversibility, resulting in limited recovery quality and poor robustness. Invertible neural networks (INNs) have emerged to address this issue by…

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
Jordan Brook, Hamish McGowan, Matt Mason, Joshua Soderholm, Alain Protat
https://arxiv.org/abs/2509.02929

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
We present the Australian Identification, Nowcasting and Tracking (AINT) algorithm, a radar-based system for detecting, characterising, and archiving thunderstorm activity across the Australian continent. AINT employs a two-step hysteresis-based identification scheme to separate embedded convective cells, followed by a phase-correlation and optimisation framework for storm tracking and cell matching. Post-processing routines address challenges of ground clutter using clustering and topography-a…

Multi-layer 5D Optical Data Storage: Mathematical Modeling and Deep Learning-Based Reconstruction of Birefringent Parameters
Ye Zhang, Qiao Zhu, Rongkuan Zhou, Tatiana Lysak, Chao Wang
https://arxiv.org/abs/2508.20106

Multi-layer 5D Optical Data Storage: Mathematical Modeling and Deep Learning-Based Reconstruction of Birefringent Parameters
Five-dimensional (5D) optical data storage has emerged as a promising technology for ultra-high-density, long-term data archiving. However, its practical realization is hindered by noise and interference during data readout. In this work, we develop a high-precision mathematical model for multi-layer 5D optical storage, grounded in the Jones matrix framework, to accurately capture polarization transformations induced by stacked birefringent nanostructures. Building on this model, we propose a 2…

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Archiving and Replaying Current Web Advertisements: Challenges and Opportunities
Reid, Poole, Choi, Rauch, Kelly, Nelson, Weigle