Tootfinder

Ukraine, Russia conduct new POW exchange: https://benborges.xyz/2025/07/04/ukraine-russia-conduct-new-pow.html

Two dormant Bitcoin wallets, each holding 10,000 "Satoshi era" BTC since 2011, transferred the coins to new wallets using a modern, lower-fee address format (Shaurya Malwa/CoinDesk)
https://www.coindesk.com/markets/2025/07/0…

Eight Bitcoin Wallets Move 80,000 BTC in Largest Ever ‘Satoshi Era’ Transfers
All of these moved coins are among the rarest class of BTC: mined or transacted during the “Satoshi era,” a loosely defined period from bitcoin’s launch in 2009 through 2011, when its pseudonymous creator was still active online.

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 20818 edges.
Tags: Social, Offline, Unweighted, Temporal
https://networks.skewed.de/net/sp_hype…

Git Context Controller: Manage the Context of LLM-based Agents like Git
Junde Wu
https://arxiv.org/abs/2508.00031 https://arxiv.org/pdf/2508.00031

Git Context Controller: Manage the Context of LLM-based Agents like Git
Large language model (LLM) based agents have shown impressive capabilities by interleaving internal reasoning with external tool use. However, as these agents are deployed in long-horizon workflows, such as coding for a big, long-term project, context management becomes a critical bottleneck. We introduce Git-Context-Controller (GCC), a structured context management framework inspired by software version control systems. GCC elevates context as versioned memory hierarchy like Git. It structures…

Variational Uncertainty Decomposition for In-Context Learning
I. Shavindra Jayasekera, Jacob Si, Wenlong Chen, Filippo Valdettaro, A. Aldo Faisal, Yingzhen Li
https://arxiv.org/abs/2509.02327

Variational Uncertainty Decomposition for In-Context Learning
As large language models (LLMs) gain popularity in conducting prediction tasks in-context, understanding the sources of uncertainty in in-context learning becomes essential to ensuring reliability. The recent hypothesis of in-context learning performing predictive Bayesian inference opens the avenue for Bayesian uncertainty estimation, particularly for decomposing uncertainty into epistemic uncertainty due to lack of in-context data and aleatoric uncertainty inherent in the in-context predictio…

https://www.nbcnews.com/health/womens-health/gates-foundation-commits-25-billion-ignored-womens-health-rcna223003

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
https://networks.skewed.de/net/sp_offi

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
https://networks.skewed.de/net/sp_offi

sp_high_school: High school temporal contacts (2013)
These data sets correspond to the contacts and friendship relations between students in a high school in Marseilles, France, in December 2013, as measured through several techniques.
This network has 329 nodes and 502 edges.
Tags: Social, Offline, Unweighted, Weighted, Temporal, Metadata