Tootfinder

netscience: Scientific collaborations in network science (2006)
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.
This network has 1589 nodes and 2742 edges.
Tags: Social, Collaboration, Weighted, Projection

Jackalopes are real. https://www.scientificamerican.com/article/why-are-rabbits-sprouting-tentacles/

Why Are Rabbits Sprouting Tentacles?
Rabbits spotted with hornlike growths on their face in northern Colorado are doing better than they look

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Woong Shin, Renan Souza, Daniel Rosendo, Fr\'ed\'eric Suter, Feiyi Wang, Prasanna Balaprakash, Rafael Ferreira da Silva
https://arxiv.org/abs/2509.09915

The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
Modern scientific discovery increasingly requires coordinating distributed facilities and heterogeneous resources, forcing researchers to act as manual workflow coordinators rather than scientists. Advances in AI leading to AI agents show exciting new opportunities that can accelerate scientific discovery by providing intelligence as a component in the ecosystem. However, it is unclear how this new capability would materialize and integrate in the real world. To address this, we propose a conce…

ReviewRL: Towards Automated Scientific Review with RL
Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou
https://arxiv.org/abs/2508.10308

ReviewRL: Towards Automated Scientific Review with RL
Peer review is essential for scientific progress but faces growing challenges due to increasing submission volumes and reviewer fatigue. Existing automated review approaches struggle with factual accuracy, rating consistency, and analytical depth, often generating superficial or generic feedback lacking the insights characteristic of high-quality human reviews. We introduce ReviewRL, a reinforcement learning framework for generating comprehensive and factually grounded scientific paper reviews.…

🇺🇦 Auf radioeins läuft...
Tracy Chapman:
🎵 Fast Car
#NowPlaying #TracyChapman
https://soundboybilla.bandcamp.com/track/tracy-chapman-fast-car-drum-bass-remix-by-soundboy-billa
https://open.spotify.com/track/2M9ro2krNb7nr7HSprkEgo

Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
Janis Keuper
https://arxiv.org/abs/2509.10248 https://arxiv.org/pdf/2509.10248…

Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
The ongoing intense discussion on rising LLM usage in the scientific peer-review process has recently been mingled by reports of authors using hidden prompt injections to manipulate review scores. Since the existence of such "attacks" - although seen by some commentators as "self-defense" - would have a great impact on the further debate, this paper investigates the practicability and technical success of the described manipulations. Our systematic evaluation uses 1k reviews of 2024 ICLR papers…

"10 1 im Lesesaal {der @…], diesmal: Spröde Samtpfoten" https://blog.sbb.berlin/?p=132437

🔊 #NowPlaying on #BBCRadio3:
#SundayFeature
- Samuel Coleridge-Taylor and Paul Laurence Dunbar
New Generation Thinker Leah Broad hears how the meeting between composer Samuel Coleridge-Taylor and poet Paul Laurence Dunbar in 1897 established a Black concert tradition.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002j4pg

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
Mustapha Adamu, Qi Zhang, Huitong Pan, Longin Jan Latecki, Eduard C. Dragut
https://arxiv.org/abs/2509.10087

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery
The growing complexity and volume of climate science literature make it increasingly difficult for researchers to find relevant information across models, datasets, regions, and variables. This paper introduces a domain-specific Knowledge Graph (KG) built from climate publications and broader scientific texts, aimed at improving how climate knowledge is accessed and used. Unlike keyword based search, our KG supports structured, semantic queries that help researchers discover precise connections…

🔊 #NowPlaying on #BBCRadio3:
#SundayFeature
- New Generation Thinkers: How Lullabies Work
New Generation Thinker, historian Oskar Jensen, explores the history of lullabies, in search of the power and the know-how that makes Hush-a-bye Baby do what it says in the title.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002dcdj