Tootfinder

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…

contact: Haggle human proximity network (2006)
A network of human proximities, as measured by carried wireless devices. Each node represents a person, and an edge denotes when two people were within a certain proximity of each other, as measured by a wireless protocol (Bluetooth or Wifi). The edges are timestamped.
This network has 274 nodes and 28244 edges.
Tags: Social, Offline, Unweighted, Timestamps

Three of the four California counties empowered to inspect federal immigration detention facilities
💥have not done so,
and the fourth has conducted only basic reviews of food this year, records obtained by CalMatters show.
If they were checking, local officials would be providing an additional layer of oversight
at a time when the number of people held in detention centers has surged because of the Trump administration’s crackdown on unauthorized immigrants. 
✅ Tw…

California gave counties power to inspect ICE detention centers. They’re not using it
California's seven ICE detention centers have to open their doors to local health departments. So far, county officials aren't making much use of that power.

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
The Counts:
🎵 What's Up Front That Counts
#TheCounts
https://thecounts.bandcamp.com/album/whats-up-front-that-counts-2023-remastered
https://open.spotify.com/track/3e43HPCyyPpU1erpmVtZer

FBI Conducts Whiplash Firings, Rehirings Linked to Trump Probe (Ben Penn/Bloomberg Law)
https://news.bloomberglaw.com/us-law-week/fbi-conducts-whiplash-firings-rehirings-linked-to-trump-probe
http://www.memeorandum.com/251104/p145#a251104p145

A substitution lemma for multiple context-free languages
Andrew Duncan, Murray Elder, Lisa Frenkel, Mengfan Lyu
https://arxiv.org/abs/2509.02117 https://ar…

A substitution lemma for multiple context-free languages
We present a new criterion for proving that a language is not multiple context-free, which we call a Substitution Lemma. We apply it to show a sample selection of languages are not multiple context-free, including the word problem of $F_2\times F_2$. Our result is in contrast to Kanazawa et al. [2014, Theory Comput. Syst.] who proved that it was not possible to generalise the standard pumping lemma for context-free languages to multiple context-free languages, and Kanazawa [2019, Inform. and …

"Right now, a lot of condos [are] coming online that people don't really want to live in."
https://www.cbc.ca/news/canada/british-columbia/unsold-condos-metro-vancouver-bc-2025-1.7647776

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

sp_hospital: Hospital ward dynamic contacts (2010)
This dataset contains the temporal network of contacts between patients, patients and health-care workers (HCWs) and among HCWs in a hospital ward in Lyon, France, from Monday, December 6, 2010 at 1:00 pm to Friday, December 10, 2010 at 2:00 pm. The study included 46 HCWs and 29 patients.
This network has 75 nodes and 32424 edges.
Tags: Social, Offline, Unweighted, Temporal, Metadata

sp_high_school_new: High school dynamic contacts (2011-2012)
These datasets contain the temporal network of contacts between students in a high school in Marseilles, France. The first dataset gives the contacts of the students of three classes during 4 days in Dec. 2011, and the second corresponds to the contacts of the students of 5 classes during 7 days (from a Monday to the Tuesday of the following week) in Nov. 2012.
This network has 126 nodes and 28561 edges.
Tags: Soc…