Tootfinder

On the One-Loop Exactness of Gravity Partition Function
Andres Goya, Mauricio Leston, Mario Passaglia
https://arxiv.org/abs/2507.16141 https://

On the One-Loop Exactness of Gravity Partition Function
In a previous work, we showed that the two- and three-loop contributions to the partition function of three-dimensional gravity in flat space vanish. This is in agreement with the expected one-loop exactness dictated by the underlying symmetry at the quantum level. To highlight the distinctive nature of the $D=3$ case, we extend the three-loop computation to arbitrary spacetime dimensions $D$. In higher dimensions, the number of contributions increases substantially, reinforcing the view that o…

Error Detection Based on Generalized Successive Cancellation List Decoding for Polar Codes
Alexander Sauter, Mustafa Cemil Co\c{s}kun, Gianluigi Liva
https://arxiv.org/abs/2507.16699

Error Detection Based on Generalized Successive Cancellation List Decoding for Polar Codes
Successive cancellation list (SCL) decoding has been widely adopted for polar codes, which allows near maximum likelihood performance with sufficiently large list size. In this work, we show that, if the list size is $2^γ$, where $γ$ is the fundamental quantity called mixing factor, then a modification to SCL decoding can implement Forney's generalized decoding rule. Hence, it provides an efficient means to discard unreliable decisions. The performance achieved by short polar codes under the …

Now, even if you do want next token prediction:
Was it really worth the billions of dollars, the pollution, the pure disdain for the intellectual property of authors, to get here?
*I* don't think so. Predicting text is cute, it's fun, it's a party trick I would value at ~$100. I wouldn't make it my fucking life's work, but I guess we all have different value frameworks.

Series B, Episode 01 - Redemption
CALLY: In range.
BLAKE: Force wall.
AVON: [Tries to activate force wall but it just burbles] Primary malfunction. Force wall won't activate.
BLAKE: Leave it. Hit it, Jenna, all the power we've got. Hang on!
https://blake.torpidity.net/m/201/113

Since Judge Caprio just died…
In Chennai, India, last Feb, I met a distant cousin who has always lived there.
Him: Where do you live?
Me: It's a city called Providence…
H: An island, right?
M: Sort of?!?
H: Ah, that's where Judge Caprio is from!
M: ?!?!?
H: Oh, he's very famous!

A further investigation on covering systems with odd moduli
Chris Bispels, Matthew Cohen, Joshua Harrington, Joshua Lowrance, Kaelyn Pontes, Leif Schaumann, Tony W. H. Wong
https://arxiv.org/abs/2507.16135

A further investigation on covering systems with odd moduli
Erdős first introduced the idea of covering systems in 1950. Since then, much of the work in this area has concentrated on identifying covering systems that meet specific conditions on their moduli. Among the central open problems in this field is the well-known odd covering problem. In this paper, we investigate a variant of that problem, where one odd integer is permitted to appear multiple times as a modulus in the covering system, while all remaining moduli are distinct odd integers greate…

On using AI for EEG-based BCI applications: problems, current challenges and future trends
Thomas Barbera, Jacopo Burger, Alessandro D'Amelio, Simone Zini, Simone Bianco, Raffaella Lanzarotti, Paolo Napoletano, Giuseppe Boccignone, Jose Luis Contreras-Vidal
https://arxiv.org/abs/2506.16168

On using AI for EEG-based BCI applications: problems, current challenges and future trends
Imagine unlocking the power of the mind to communicate, create, and even interact with the world around us. Recent breakthroughs in Artificial Intelligence (AI), especially in how machines "see" and "understand" language, are now fueling exciting progress in decoding brain signals from scalp electroencephalography (EEG). Prima facie, this opens the door to revolutionary brain-computer interfaces (BCIs) designed for real life, moving beyond traditional uses to envision Brain-to-Speech, Brain-to-…

Memo: Meta restructures Superintelligence Lab; Alexandr Wang heads TBD Lab, Robert Fergus heads FAIR, Nat Friedman heads products, Aparna Ramani heads Infra (Riley Griffin/Bloomberg)
https://www.bloomberg.com/news/articles/20

Meta Restructures AI Group Again in Pursuit of Superintelligence
Meta Platforms Inc. is splitting its newly formed artificial intelligence group into four distinct teams and reassigning many of the company’s existing AI employees, an attempt to better capitalize on billions of dollars’ worth of recently acquired talent.