Tootfinder

‘Save Our Signs’ Preservation Project Launches Archive of 10,000 National Park Signs https://www.404media.co/save-our-signs-preservation-project-launches-archive-of-10-000-national-park-signs/

Governor Pritzker Signs Bill Expanding End-of-Life Options for Terminally Ill Patients (The State of Illinois Newsroom's pressreleases)
https://gov-pritzker-newsroom.prezly.com/governor-pritzker-signs-bill-expanding-end-of-life-options-for-terminally-ill-patients
http://www.memeorandum.com/251213/p46#a251213p46

Xu Bo, a Chinese billionaire, was seeking parental rights to at least four unborn children,
and the court’s additional research showed that he had already fathered or was in the process of fathering at least eight more
—all through surrogates.
When called in for a confidential hearing in the summer of 2023,
he never entered the courtroom, according to people who attended the hearing.
The maker of fantasy videogames lived in China and appeared via video, speaking …

China fertility facts of the day - Marginal REVOLUTION
A Chinese billionaire was seeking parental rights to at least four unborn children, and the court’s additional research showed that he had already fathered or was in the process of fathering at least eight more—all through surrogates. When Pellman called Xu Bo in for a confidential hearing in the summer of 2023, he never entered […]

On a sequence of Kimberling and its relationship to the Tribonacci word
Lubom\'ira Dvo\v{r}\'akov\'a, Edita Pelantov\'a, Jeffrey Shallit
https://arxiv.org/abs/2510.11318

On a sequence of Kimberling and its relationship to the Tribonacci word
In 2017, Clark Kimberling defined an interesting sequence ${\bf B} = 0100101100 \cdots$ of $0$'s and $1$'s by certain inflation rules, and he made a number of conjectures about this sequence and some related ones. In this note we prove his conjectures using, in part, the Walnut theorem-prover. We show how his word is related to the infinite Tribonacci word, and we determine both the subword complexity and critical exponent of $\bf B$.

SignClip: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion
Wenfang Wu, Tingting Yuan, Yupeng Li, Daling Wang, Xiaoming Fu
https://arxiv.org/abs/2509.10266

SignClip: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion
Sign language translation (SLT) aims to translate natural language from sign language videos, serving as a vital bridge for inclusive communication. While recent advances leverage powerful visual backbones and large language models, most approaches mainly focus on manual signals (hand gestures) and tend to overlook non-manual cues like mouthing. In fact, mouthing conveys essential linguistic information in sign languages and plays a crucial role in disambiguating visually similar signs. In this…

Raiders Rising: 3 Encouraging Signs Heading Into Week 11 https://raiderramble.com/2025/11/14/raiders-rising-3-encouraging-signs-heading-into-week-11/

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
Sazan Mahbub, Souvik Kundu, Eric P. Xing
https://arxiv.org/abs/2510.11750

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
Designing protein sequences that fold into a target three-dimensional structure, known as the inverse folding problem, is central to protein engineering but remains challenging due to the vast sequence space and the importance of local structural constraints. Existing deep learning approaches achieve strong recovery rates, yet they lack explicit mechanisms to reuse fine-grained structure-sequence patterns that are conserved across natural proteins. We present PRISM, a multimodal retrieval-augme…

Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation
Liang Li, Zhou Yang, Xiaofei Zhu
https://arxiv.org/abs/2510.10564 https://

Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation
Sequential recommendation aims to predict the next item based on user interests in historical interaction sequences. Historical interaction sequences often contain irrelevant noisy items, which significantly hinders the performance of recommendation systems. Existing research employs unsupervised methods that indirectly identify item-granularity irrelevant noise by predicting the ground truth item. Since these methods lack explicit noise labels, they are prone to misidentify users' interested i…

Governor Newsom signs bills to further strengthen California's leadership in protecting children online (Governor of California)
https://www.gov.ca.gov/2025/10/13/governor-newsom-signs-bills-to-further-strengthen-californias-leadership-in-protecting-children-online/
http://www.memeorandum.com/251013/p69#a251013p69

Gunmen kill 16, wound dozens in shocking attack at Hanukkah celebration on Australia's Bondi Beach (Ben Wolfgang/Washington Times)
https://www.washingtontimes.com/news/2025/dec/14/gunmen-kill-11-wound-dozens-shocking-attack-hanukkah-celebration/
http://www.memeorandum.com/251214/p40#a251214p40