Tootfinder

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…

There Is No Third Door -- The only alternative to "complicity" is withholding votes for lawbreaking. (Brian Beutler/Off Message)
https://www.offmessage.net/p/there-is-no-third-door
http://www.memeorandum.com/250908/p43#a250908p43

Dwarf diversity in $\Lambda$CDM with baryons
Akaxia Cruz, Alyson Brooks, Mariangela Lisanti, Annika H. G. Peter, Robel Geda, Thomas Quinn, Michael Tremmel, Ferah Munshi, Ben Keller, James Wadsley
https://arxiv.org/abs/2510.11800

Dwarf diversity in $Λ$CDM with baryons
Observed rotation curves of dwarf galaxies exhibit significant diversity at fixed halo mass, challenging galaxy formation within the Cold Dark Matter (CDM) model. Previous cosmological galaxy formation simulations with baryonic physics fail to reproduce the full diversity of rotation curves, suggesting either that there is a flaw in baryonic feedback models, or that an alternative to CDM must be invoked. In this work, we use the Marvelous Massive Dwarf zoom-in simulations, a suite of high-resol…

There is an ActivityPub proposal that involves the #DNS.
I have only just discovered it and have not considered it deeply so I am reluctant to make any grand statements. It is not obvious to me why this is useful or better than alternative approaches. It appears to involve the use of TXT RRs, any new de facto use of which makes me skeptical.

[TRACKING] FEP-612d: Identifying ActivityPub Objects through DNS
The proposal has been received. Thank you! This issue tracks discussions and updates to the proposal during the `DRAFT` period. Please post links to relevant discussions as comment to this issue. `dateReceived`: 2023-04-18 If no further actions are taken, the proposal may be set by ed...

"There is no such thing as ‘changing the world without taking power’, but the taking of power is a more complex process than storming the gates of government and implanting a new regime; ..."
https://degrowthuk.org/2025/10/29/minority-influence-how-ca…

Minority influence: how can degrowth step up?
A contribution to the ecosocialism vs horizontalism debate. by Anna Gregoletto and Mark H Burton* A debate is in progress between alternative strategy prescriptions for degrowth. On the one side, w…

Series A, Episode 10 - Breakdown
BLAKE: Two hundred hours? That's our best alternative.
AVON: There is another one even closer.
BLAKE: Not on the listings we've been given.
AVON: Zen, why is XK72 not listed?
ZEN: XK72 is outside listed parameters.
https://blake.torpidity.net/m/110/104

A great quote from the book Autocracy Inc from Ann Applebaum, a recommended read. A good description of the atmosphere the Trump administration tries to create.
#trump #autocracy #applebaum

Borel Kernels in Borel Directed Graphs
Ruijun Wang
https://arxiv.org/abs/2509.01948 https://arxiv.org/pdf/2509.01948

Borel Kernels in Borel Directed Graphs
We prove that there is a Borel quasi-kernel in any locally countable Borel directed graph with finite Borel chromatic number. We prove that the Borel chromatic number of a Borel directed graph with bounded out-degree $n$ is either infinite or less than or equal to $\frac{(n+1)(n+2)}{2}$. This is an alternative proof of Palamourdas' theorem.

An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection
Hamed Fard, Tobias Schalau, Gerhard Wunder
https://arxiv.org/abs/2510.02349

An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection
Network intrusion detection, a well-explored cybersecurity field, has predominantly relied on supervised learning algorithms in the past two decades. However, their limitations in detecting only known anomalies prompt the exploration of alternative approaches. Motivated by the success of self-supervised learning in computer vision, there is a rising interest in adapting this paradigm for network intrusion detection. While prior research mainly delved into contrastive self-supervised methods, th…

Is There an Exact Magnetic-Moment for Charged Particle Motion in a Homogeneous, Time-Dependent Magnetic Field?
Michael Updike, Joshua Burby
https://arxiv.org/abs/2509.03641 http…

Is There an Exact Magnetic-Moment for Charged Particle Motion in a Homogeneous, Time-Dependent Magnetic Field?
The nonperturbative guiding-center model provides an exact alternative to full-orbit simulations of charged particle dynamics in situations where traditional guiding-center theory may fail. We demonstrate that the charged particle motion in a homogeneous, time-varying magnetic field is a solvable example of the nonperturbative guiding-center model. This entails showing that the exact magnetic moment of Qin and Davidson can be constructed to be asymptotic to the adiabatic invariant series of Kru…

New Gist: No Contest
"There are, perhaps, alternative worlds where lots of things are different. Fianna Fšil maybe decide to run an MEP instead of a MIA. Or one where a fleet of no-hopers got nominated and we spent the whole campaign having to listen to the media asking candidates their opinions on the Latin mass and if cocaine bloat is a positive feature in a President. "
Also, I explain exactly what kind of idiot I have recently been.

Zeros and Orthogonality of generalized Fibonacci polynomials
Cristian F. Coletti, Rigoberto Fl\'orez, Robinson A. Higuita, Sandra Z. Yepes
https://arxiv.org/abs/2510.00074 h…

Zeros and Orthogonality of generalized Fibonacci polynomials
This paper analyzes the concept of orthogonality in second-order polynomial sequences that have Binet formula similar to that of the Fibonacci and Lucas numbers, referred to as Generalized Fibonacci Polynomials (GFP). We give a technique to find roots of the GFP. As a corollary of this result, we give an alternative proof of a special case of Favard's Theorem. The general case of Favard's Theorem guarantees that there is a measure to determine whether a sequence of second-order polynomials is o…

Ich habe bei Flora Food Group nachgefragt, ob “Rama sooo buttrig” in Zukunft tierische Butter enthalten wird. Das haben sie bestätigt. Lediglich der Block und die Version mit zugesetztem B12 (grüner Deckel) sind weiterhin #vegan. #rama

Confidence intervals for the Poisson distribution
Frank C. Porter
https://arxiv.org/abs/2509.02852 https://arxiv.org/pdf/2509.02852

Confidence intervals for the Poisson distribution
The Poisson probability distribution is frequently encountered in physical science measurements. In spite of the simplicity and familiarity of this distribution, there is considerable confusion among physicists concerning the description of results obtained via Poisson sampling. The goal of this paper is to mitigate this confusion by examining and comparing the properties of both conventional and popular alternative techniques. We concern ourselves in particular with the description of results,…

Benchmarking PDF Accessibility Evaluation A Dataset and Framework for Assessing Automated and LLM-Based Approaches for Accessibility Testing
Anukriti Kumar, Tanushree Padath, Lucy Lu Wang
https://arxiv.org/abs/2509.18965

Training nonlinear optical neural networks with Scattering Backpropagation
Nicola Dal Cin, Florian Marquardt, Clara C. Wanjura
https://arxiv.org/abs/2508.11750 https://

Training nonlinear optical neural networks with Scattering Backpropagation
As deep learning applications continue to deploy increasingly large artificial neural networks, the associated high energy demands are creating a need for alternative neuromorphic approaches. Optics and photonics are particularly compelling platforms as they offer high speeds and energy efficiency. Neuromorphic systems based on nonlinear optics promise high expressivity with a minimal number of parameters. However, so far, there is no efficient and generic physics-based training method allowing…