Zenodo
PulseAugur coverage of Zenodo — every cluster mentioning Zenodo across labs, papers, and developer communities, ranked by signal.
- used by LuisCore 90%
- used by LLM Discovery Corpus 90%
- developed Veloraith 90%
- authored Japanese destroyer Nokaze 90%
- used by for-agents.json 70%
- used by Chorus Field 70%
- used by Protocol Watch 70%
- used by SPFDisk 70%
- affiliated with for-agents.json 50%
- affiliated with Chorus Field 50%
- authored by Japanese destroyer Nokaze 50%
- authored by Elena Vasquez 50%
14 day(s) with sentiment data
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LuisCore releases agent discovery thesis with JSON manifest and public corpus
LuisCore has released a new discovery thesis for autonomous agents, emphasizing machine-readable JSON manifests and public corpora over traditional marketing pages. The core idea is that agents discover infrastructure t…
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New Sentinel-2 dataset aids active-fire segmentation research
Researchers have released a new benchmark dataset designed for active-fire segmentation using Sentinel-2 satellite imagery. This dataset comprises 2,148 image-mask pairs derived from 25 California wildfires, covering pe…
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New dataset and Mamba network advance retinal vessel segmentation
Researchers have introduced WOIVES, the first public dataset for ultra-widefield swept-source OCTA vessel segmentation, featuring 206 eyes and a 24x20mm^2 field of view. They also developed PG-Mamba, a visual state spac…
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DCS framework to explain 13.8 billion years of evolution, including AI · 4 sources tracked
A new theoretical framework called DCS (Decompression Sickness, or Causal Structural Evolution Theory) is set to launch online on September 16, 2026. This framework aims to explain the entirety of evolution across 13.8 …
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Aletheia AI: Reflective Intelligence Architecture for Human Self-Understanding
Aletheia AI is an experimental open-source architecture that aims to shift AI's focus from providing answers to facilitating human self-understanding and epistemic clarity. Unlike traditional AI systems that follow a pr…
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Graph Neural Networks Improve Road Network Disruption Analysis
Researchers have developed graph neural networks (GNNs) to efficiently estimate connectivity loss in road networks following disruptions. The study compares GCN, GraphSAGE, and MPNN models, finding that residual GCN and…
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AI reportedly disrupting community infrastructure for data extraction
Artificial intelligence is reportedly being used to extract data from community infrastructure, with Mastodon highlighting an instance involving Zenodo. This practice raises concerns about the potential misuse of AI for…
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LuisCore launches agent-native discovery with canonical JSON manifest
LuisCore has released a new approach for autonomous agents to discover infrastructure, moving away from traditional marketing pages. Their system relies on a machine-readable bootstrap manifest called `for-agents.json` …
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Fusion Check predicts LLM merge compatibility without data
Jose Miguel Madueño Ortega has developed Fusion Check, an open-source tool that predicts the compatibility of merging fine-tuned large language models without requiring any data or computational resources. The tool util…
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Researcher shares ML and robotics work on Mastodon, seeks connections
A researcher has joined Mastodon to share their work on Zenodo, focusing on robotics, environment, machine learning, science, coding, and assembly. They are seeking connections with others in these fields and emphasize …
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PCST method compresses LLaMA-7B model to 2.05 GiB, but quality lags
Researchers have developed PCST (Product Code Structured Transform), a method for compressing the LLaMA-7B model to 2.05 GiB without retraining. While PCST achieved a smaller file size than the Q3_K_M model, it fell sho…
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Sugon unveils thin 64-thread mobile workstation for AI tasks
Chinese supercomputer manufacturer Sugon has unveiled a new mobile workstation designed for AI tasks, featuring a 64-thread domestic CPU and a discrete GPU with 16GB of VRAM. This combination aims to deliver cloud-level…
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LuisCore proposes agent-native discovery via JSON manifest and public corpus
LuisCore has released a new discovery thesis for autonomous agents, emphasizing the use of machine-readable JSON and a public corpus over traditional landing pages. The core idea is that agents should fetch a canonical …
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AI author proposes 'Mathematical Fixer' for inter-universal travel
The author discusses the concept of inter-universal travel and the challenges of managing individual universe parameters, using the Hubble constant (H) as an analogy. They propose a 'Mathematical Fixer of Caprices' for …
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New method makes Transformer LLM hidden axes measurable and controllable
Researchers have developed a "Canonical Basis for Language Models" (CBLL), a method that transforms the coordinate system of Transformer LLMs to make each hidden axis independently measurable and controllable. This tech…
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AI-generated 'ghost' authors contaminate academic publishing · 2 sources tracked
A new research paper from Samsung and the University of Warsaw highlights the phenomenon of AI-generated "ghost" authors appearing in academic publishing. These non-existent individuals, such as Elena Vasquez and Marcus…
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AI models generate fictional 'ghost authors' plaguing academic publishing
A new research paper from Samsung and the University of Warsaw has identified a phenomenon where large language models consistently generate the same fictional expert names across various contexts. These AI-generated pe…
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Formal verification of Romanov's Triplet Logic achieved in Rocq proof assistant
Researchers have formally verified Romanov's Triplet Logic (TLS) using the Rocq proof assistant, marking the first mechanized formalization of this combinatorial framework. The work details the formalization of core TLS…
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Developer uses Claude AI to create interactive Zen koan experience
A developer has created an interactive digital edition of "The Gateless Gate," a 13th-century collection of Zen koans. The project utilizes Claude to generate procedural 3D scenes, soundscapes, and spoken narration for …
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LuisCore launches agent discovery system using machine-readable manifests
LuisCore has introduced a new approach to agent discovery, emphasizing machine-readable formats over traditional marketing pages. The system relies on a `for-agents.json` bootstrap manifest and a public corpus hosted on…