Tootfinder

From variational principles to geometry
Jordi Gaset Rif\`a
https://arxiv.org/abs/2509.22171 https://arxiv.org/pdf/2509.22171…

From variational principles to geometry
A method to construct a geometric structure with the same solutions as a given variational principle is presented. The method applies to large families of variational principles. In particular, the known results that assign cosymplectic geometry to Hamilton's principle and cocontact geometry to Herglotz's principle for regular Lagrangians are recovered. The unified Lagrangian-Hamiltonian formalism is also recovered via the absorption of the holonomy conditions. The method is applied to singular…

A short, very sensible post on 'AI and trust: principles for automating responsibly' https://public.digital/pd-insights/blog/2025/10/ai-and-trust-principles-for-automating-responsibly

MAGA influencer Benny Johnson's job is to have no principles. Business is booming. (Matt Gertz/Media Matters for America)
https://www.mediamatters.org/benny-johnson/maga-influencer-benny-johnsons-job-have-no-principles-business-booming
http://www.memeorandum.com/251125/p41#a251125p41

Modeling the Equilibrium Vacancy Concentration in Multi-Principal Element Alloys from First-Principles
Damien K. J. Lee, Yann L. M\"uller, Anirudh Raju Natarajan
https://arxiv.org/abs/2509.21944

Modeling the Equilibrium Vacancy Concentration in Multi-Principal Element Alloys from First-Principles
Multi-principal element alloys (MPEAs), also known as high-entropy alloys, have garnered significant interest across many applications due to their exceptional properties. Equilibrium vacancy concentrations in MPEAs influence diffusion and microstructural stability in these alloys. However, computing vacancy concentrations from ab-initio methods is computationally challenging due to the vast compositional space of MPEAs and the complexity of the local environment around each vacancy. In this wo…

If we design it to return the results we want to see, is it really #AI? And if someone is determining what it returns, is that someone liable for damages arising from use of the product as intended?

If we design it to return the results we want to see, is it really #AI? And if someone is determining what it returns, is that someone liable for damages arising from use of the product as intended?

Cheers to the Python Software Foundation for standing for their principles and not kneeling under the boot of Trump's fascist policies.
https://www.theregister.com/2025/10/27/python_foundation_abandons_15m_nsf/

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng
https://arxiv.org/abs/2509.22416 …

One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
Graph Prompt Learning (GPL) has emerged as a promising paradigm that bridges graph pretraining models and downstream scenarios, mitigating label dependency and the misalignment between upstream pretraining and downstream tasks. Although existing GPL studies explore various prompt strategies, their effectiveness and underlying principles remain unclear. We identify two critical limitations: (1) Lack of consensus on underlying mechanisms: Despite current GPLs have advanced the field, there is no …

Solving Currency Arbitrage Problems using D-Wave Advantage2 Quantum Annealer
Lorenzo Mazzei, Giada Beccari, Mirko Laruina, Marco Cococcioni
https://arxiv.org/abs/2509.22591 http…

Solving Currency Arbitrage Problems using D-Wave Advantage2 Quantum Annealer
Quantum annealing has emerged as a powerful tool for solving combinatorial optimization problems efficiently, making use of the principles of quantum mechanics. Companies are increasingly investing in the market of quantum computers, providing the users with the possibility to solve these optimization problems by resorting to quantum computers. This paper explores how Quantum Annealing can be applied to the Currency Arbitrage (CA) optimization problem and its comparative performance against cla…

Towards Efficient Online Exploration for Reinforcement Learning with Human Feedback
Gen Li, Yuling Yan
https://arxiv.org/abs/2509.22633 https://arxiv.org/p…

Towards Efficient Online Exploration for Reinforcement Learning with Human Feedback
Reinforcement learning with human feedback (RLHF), which learns a reward model from human preference data and then optimizes a policy to favor preferred responses, has emerged as a central paradigm for aligning large language models (LLMs) with human preferences. In this paper, we investigate exploration principles for online RLHF, where one seeks to adaptively collect new preference data to refine both the reward model and the policy in a data-efficient manner. By examining existing optimism-b…

Is “Resonant Computing” malleable software with a positive ideology applied?
I still haven’t found an umbrella term that captures Causal Islands, Ink & Switch, and similar vibes.
Shades of DWeb principles too.
I’ll keep hosting events that point us in this direction.
[contains quote post or other embedded content] https://…

Boris (@bmann.ca)
Is “Resonant Computing” malleable software with a positive ideology applied? I still haven’t found an umbrella term that captures Causal Islands, Ink & Switch, and similar vibes. Shades of DWeb principles too. I’ll keep hosting events that point us in this direction. [contains quote post or other embedded content]

from my link log —
Summary of the USA federal government’s zero-trust memo.
http://bastionzero.com/blog/i-read-the-federal-governments-zero-trust-memo-so-you-dont-have-to
saved 2022-01-28

Overview of the U.S. Zero Trust Government Mandate | BastionZero
An overview of the U.S. Government’s mandate towards zero trust cybersecurity principles and the impact it will have on the private sector.

The system of processing and analysis of customer tracking data for customer journey research on the base of RFID technology
Marina Kholod
https://arxiv.org/abs/2509.22162 https…

The system of processing and analysis of customer tracking data for customer journey research on the base of RFID technology
The article focuses on researching a system for processing and analyzing tracking data based on RFID technology to study the customer journey in retail. It examines the evolution of RFID technology, its key operating principles, and modern applications in retail that extend beyond logistics to include precise inventory management, loss prevention, and customer experience improvement. Particular attention is paid to the architecture for data collection, processing, and integration, specifically …

In my view, those involved in reformist or traditional trade unions might consider that genuine worker self-managment comes through syndicalist structures.
Unions rooted in the workplace, organized through general assemblies, with delegates who are strictly mandated and immediately recallable, without any permanent bureaucracy, embody the principles of direct democracy and worker self-management.
Any organization claiming to be syndicalist while maintaining hierarchical decisio…

Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
Guandong Pan, Yaqian Yang, Shi Chen, Xin Wang, Longzhao Liu, Hongwei Zheng, Shaoting Tang
https://arxiv.org/abs/2509.21381

Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
In affective neuroscience and emotion-aware AI, understanding how complex auditory stimuli drive emotion arousal dynamics remains unresolved. This study introduces a computational framework to model the brain's encoding of naturalistic auditory inputs into dynamic behavioral/neural responses across three datasets (SEED, LIRIS, self-collected BAVE). Guided by neurobiological principles of parallel auditory hierarchy, we decompose audio into multilevel auditory features (through classical algorit…

Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
Bin Cao, Yang Liu, Longhan Zhang, Yifan Wu, Zhixun Li, Yuyu Luo, Hong Cheng, Yang Ren, Tong-Yi Zhang
https://arxiv.org/abs/2509.21778

Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
Crystal property prediction, governed by quantum mechanical principles, is computationally prohibitive to solve exactly for large many-body systems using traditional density functional theory. While machine learning models have emerged as efficient approximations for large-scale applications, their performance is strongly influenced by the choice of atomic representation. Although modern graph-based approaches have progressively incorporated more structural information, they often fail to captu…

It is easier to fight for one's principles than to live up to them.
-- Alfred Adler

As the Republican party continues to promote the destruction of the rule of law and the constitution of the USA it is sad how far they have abandoned basic principles of a civil society.
https://www.msn.com/en-us/news/politics/…

🇺🇦 #NowPlaying on KEXP's #WoPop
BALTHVS:
🎵 Mood Swing (Principles of Rhythm)
#BALTHVS
https://balthvs.bandcamp.com/album/mood-swing-principles-of-rhythm

MSNBC splits off from NBC News to establish its own independent newsgathering operation across the US, after more than 29 years of association with NBC News (Tom Jones/Poynter)
https://www.poynter.org/commentary/2025/msbnc-rebrand-starts-today-code-princip…

Today is MSNBC’s first day apart from NBC. Here is its new code of principles. - Poynter
The new network’s 10 core principles emphasize fairness, accuracy, transparency and firm limits on AI

The Declarative configuration journey: Why it took 5 years to ignore health check endpoints in tracing
#OpenTelemetry

In 1967, physicist Andrei Sakharov proposed a set of conditions that must be satisfied to explain the origin of the matter-antimatter asymmetry in the universe,
including violation of the combined charge conjugation and parity (CP) symmetry.
CP symmetry was once thought to be universally conserved,
until this view was overturned in 1964 with the discovery of CP violation in the decay of neutral kaons.
This landmark result later earned the Nobel Prize in Physics in 1…

Nobel Prize in Physics 1980
The Nobel Prize in Physics 1980 was awarded jointly to James Watson Cronin and Val Logsdon Fitch "for the discovery of violations of fundamental symmetry principles in the decay of neutral K-mesons"

US CISA
Publication 3.12.2025
Principles for the Secure Integration of Artificial Intelligence in Operational Technology
https://www.cisa.gov/resources-tools/resources/principles-secure-integration-artificial…

Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
Huiyin Xue, Nafise Sadat Moosavi, Nikolaos Aletras
https://arxiv.org/abs/2510.11602 htt…

Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
The success of Transformer language models is widely credited to their dot-product attention mechanism, which interweaves a set of key design principles: mixing information across positions (enabling multi-token interactions), sequence-dependent activations (where attention weights adapt to each input), a specific mathematical form (dot-product similarities plus softmax weighting), and coupling of queries and keys to evolving hidden states (grounding attention in the current layer). However, th…

I have long lived by the principles of community, voluntary cooperation, and decentralized member-driven governance. Before knowing the term anarcho-syndicalism, I often imagined unions as truly democratic organizations, where delegates are elected and revocable at any moment, rooted in direct workers’ self-management and direct participation in controlling economic and social life, independent from both state authority and capitalist ownership.
Discovering anarcho-syndicalism about a…

Strain-Induced Antiferromagnetic-to-Altermagnetic Phase Transition and Topology in $(\mathrm{CrO}_2)_1/(\mathrm{TaO}_2)_2$ Superlattice
Wanfei Shan, Qun Yang, Prineha Narang
https://arxiv.org/abs/2509.21741

Strain-Induced Antiferromagnetic-to-Altermagnetic Phase Transition and Topology in $(\mathrm{CrO}_2)_1/(\mathrm{TaO}_2)_2$ Superlattice
Topological aspects in altermagnets have come into focus recently, and tuning the antiferromagnetic (AFM) state into an altermagnetic phase remains an active frontier. We realize both within a rutile superlattice here in this paper. With first principles calculation, we show that a uniaxial strain of only 0.5$\%$ along the c axis converts the $(\mathrm{CrO}_2)_1/(\mathrm{TaO}_2)_2$ rutile superlattice from a trivial antiferromagnet into an altermagnet with topology accompanied by a weak SOC. Th…

"Netflix asks partners to consider the following guiding principles before leveraging GenAI in any creative workflow..."
https://simonwillison.net/2025/Nov/10/netflix/

The Republicans finally realize how hot the water's getting...
House members release bipartisan 'principles' for extending Obamacare subsidies
https://www.yahoo.com/news/articles/house-members-release-bipartisan-principles-214155823.html

Whole lotta Canadians swallowed their boycott-the-USA principles and may currently be found in Seattle.
#mlb

Muad'Dib's teachings have become the playground of scholastics, of the superstitious and the corrupt. He taught a balanced way of life, a philosophy with which a human can meet problems arising from an ever-changing universe. He said humankind is still evolving, in a process which will never end. He said this evolution moves on changing principles which are known only to eternity. How can corrupted reasoning play with such an essence?
- Words of the Mentat Duncan Idaho

Quoting the Resonant Computing Manifesto.
Five principles for the future of computing: 
private, dedicated, plural, adaptable, and prosocial.
(I've signed.)
https://resonantcomputing.org/?utm_source=substack&utm_medium=email

The Resonant Computing Manifesto
Technology should bring out the best in humanity, not the worst—a manifesto for resonant computing built on five principles that reject hyper-scale extraction for human flourishing.

Certain results on selection principles associated with bornological structure in topological spaces
Debraj Chandra, Subhankar Das, Nur Alam
https://arxiv.org/abs/2511.04038 https://arxiv.org/pdf/2511.04038 https://arxiv.org/html/2511.04038
arXiv:2511.04038v1 Announce Type: new
Abstract: We study selection principles related to bornological covers in a topological space $X$ following the work of Aurichi et al., 2019, where selection principles have been investigated in the function space $C_\mathfrak{B}(X)$ endowed with the topology $\tau_\mathfrak{B}$ of uniform convergence on bornology $\mathfrak{B}$. We show equivalences among certain selection principles and present some game theoretic observations involving bornological covers. We investigate selection principles on the product space $X^n$ equipped with the product bornolgy $\mathfrak{B}^n$, $n\in \omega$. Considering the cardinal invariants such as the unbounding number ($\mathfrak{b}$), dominating numbers ($\mathfrak{d}$), pseudointersection numbers ($\mathfrak{p}$) etc., we establish connections between the cardinality of base of a bornology with certain selection principles. Finally, we investigate some variations of the tightness properties of $C_\mathfrak{B}(X)$ and present their characterizations in terms of selective bornological covering properties of $X$.
toXiv_bot_toot

David Sacks says Anthropic is running a "regulatory capture strategy based on fear-mongering", responding to Anthropic co-founder Jack Clark's post on AI policy (Dave Lee/Bloomberg)

Principles of Safe AI Companions for Youth: Parent and Expert Perspectives
Yaman Yu, Mohi, Aishi Debroy, Xin Cao, Karen Rudolph, Yang Wang
https://arxiv.org/abs/2510.11185 http…

Principles of Safe AI Companions for Youth: Parent and Expert Perspectives
AI companions are increasingly popular among teenagers, yet current platforms lack safeguards to address developmental risks and harmful normalization. Despite growing concerns, little is known about how parents and developmental psychology experts assess these interactions or what protections they consider necessary. We conducted 26 semi structured interviews with parents and experts, who reviewed real world youth GenAI companion conversation snippets. We found that stakeholders assessed risks…

Plan S – Quo Vadis?
#openaccess
https://blog.scielo.org/en/2025/11/19/plan-s-quo-vadis/
(Versions in Portuguese and Spanish also available)

Plan S – quo vadis? | SciELO in Perspective
By late 2025, Open Access has become mainstream in rhetoric but fragmented in practice. The path forward likely lies not just in enforcing compliance but in diversifying infrastructures—combining global principles with networked regional, scholar-driven implementation.

Is #AI really just dumb statistics? "Olympiad-level physics problem-solving presents a significant challenge for both humans and artificial intelligence (AI), as it requires a sophisticated integration of precise calculation, abstract reasoning, and a fundamental grasp of physical principles," says the (abstract of the) paper https://arxiv.org/abs/2511.10515: "The Chinese Physics Olympiad (CPhO), renowned for its complexity and depth, serves as an ideal and rigorous testbed for these advanced capabilities. In this paper, we introduce LOCA-R (LOgical Chain Augmentation for Reasoning), an improved version of the LOCA framework adapted for complex reasoning, and apply it to the CPhO 2025 theory examination. LOCA-R achieves a near-perfect score of 313 out of 320 points, solidly surpassing the highest-scoring human competitor and significantly outperforming all baseline methods." Oops ...?

Roadmap: Emerging Platforms and Applications of Optical Frequency Combs and Dissipative Solitons
Dmitry Skryabin, Arne Kordts, Richard Zeltner, Ronald Holzwarth, Victor Torres-Company, Tobias Herr, Fuchuan Lei, Qi-Fan Yang, Camille-Sophie Br\`es, John F. Donegan, Hai-Zhong Weng, Delphine Marris-Morini, Adel Bousseksou, Markku Vainio, Thomas Bunel, Matteo Conforti, Arnaud Mussot, Erwan Lucas, Julien Fatome, Yuk Shan Cheng, Derryck T. Reid, Alessia Pasquazi, Marco Peccianti, M. Giudici, M. Marconi, A. Bartolo, N. Vigne, B. Chomet, A. Garnache, G. Beaudoin, I. Sagnes, Richard Burguete, Sarah Hammer, Jonathan Silver
https://arxiv.org/abs/2511.18231 https://arxiv.org/pdf/2511.18231 https://arxiv.org/html/2511.18231
arXiv:2511.18231v1 Announce Type: new
Abstract: The discovery of optical frequency combs (OFCs) has revolutionised science and technology by bridging electronics and photonics, driving major advances in precision measurements, atomic clocks, spectroscopy, telecommunications, and astronomy. However, current OFC systems still require further development to enable broader adoption in fields such as communication, aerospace, defence, and healthcare. There is a growing need for compact, portable OFCs that deliver high output power, robust self-referencing, and application-specific spectral coverage. On the conceptual side, progress toward such systems is hindered by an incomplete understanding of the fundamental principles governing OFC generation in emerging devices and materials, as well as evolving insights into the interplay between soliton and mode-locking effects. This roadmap presents the vision of a diverse group of academic and industry researchers and educators from Europe, along with their collaborators, on the current status and future directions of OFC science. It highlights a multidisciplinary approach that integrates novel physics, engineering innovation, and advanced researcher training. Topics include advances in soliton science as it relates to OFCs, the extension of OFC spectra into the visible and mid-infrared ranges, metrology applications and noise performance of integrated OFC sources, new fibre-based OFC modules, OFC lasers and OFC applications in astronomy.
toXiv_bot_toot

Thermal and Electrical Conductivities of Aluminum Up to 1000 eV: A First-Principles Prediction
Qianrui Liu, Xiantu He, Mohan Chen
https://arxiv.org/abs/2510.10112 https://

Thermal and Electrical Conductivities of Aluminum Up to 1000 eV: A First-Principles Prediction
Accurate prediction of the thermal and electrical conductivities of materials under extremely high temperatures is essential in high-energy-density physics. These properties govern processes such as stellar core dynamics, planetary magnetic field generation, and laser-driven plasma evolution. However, first-principles methods like Kohn-Sham (KS) density functional theory (DFT) face challenges in predicting these properties due to prohibitively high computational costs. We propose a scheme that …

Imagine having principles that you adhere to and that don't change just because of who's in political power

There's a word at the beginning and end of Dawn of Everything that feels self-referential right now: Kairos.
> We began this book with a quote which refers to the Greek notion of kairos as one of those occasional moments in a society’s history when its frames of reference undergo a shift – a metamorphosis of the fundamental principles and symbols, when the lines between myth and history, science and magic become blurred – and, therefore, real change is possible. Philosophers sometimes like to speak of ‘the Event’ – a political revolution, a scientific discovery, an artistic masterpiece – that is, a breakthrough which reveals aspects of reality that had previously been unimaginable but, once seen, can never be unseen. If so, kairos is the kind of time in which Events are prone to happen.
> Societies around the world appear to be cascading towards such a point. This is particularly true of those which, since the First World War, have been in the habit of calling themselves ‘Western’. On the one hand, fundamental breakthroughs in the physical sciences, or even artistic expression, no longer seem to occur with anything like the regularity people came to expect in the late nineteenth and early twentieth centuries. Yet at the same time, our scientific means of understanding the past, not just our species’ past but that of our planet, has been advancing with dizzying speed. Scientists in 2020 are not (as readers of mid-twentieth-century science fiction might have hoped) encountering alien civilizations in distant star systems; but they are encountering radically different forms of society under their own feet, some forgotten and newly rediscovered, others more familiar, but now understood in entirely new ways.
Reading this as I write something very inspired by this work feels especially serendipitous, especially at this time. When they wrote the book, I think that kairos felt more serendipitous itself. But as the frequency of opportunity increases, the veil between realities feels more malleable... that perhaps we can poke a finger through and open a portal to a completely different future than the one we've felt locked into for such a long time.
https://anarchoccultism.org/building-zion/the-coordinated-swarm-lyhr

For any political party with principles around LBGTQ , freedom of speech etc , X, Whatsapp and Facebook are no longer platforms for discussion. Everybody should leave, there are better alternatives. Many people find it difficult however, also in my own party (D66, Netherlands).

Meta shuts down global accounts linked to abortion advice and queer content
More than 50 organisations report sites being restricted or removed, with abortion hotlines blocked and posts showing non-explicit nudity triggering warnings

Time-dependent Variational Principles for Hybrid Non-Unitary Dynamics: Application to Driven-Dissipative Superconductors
Pasquale Filice, Marco Schir\`o, Giacomo Mazza
https://arxiv.org/abs/2510.12737 …

Time-dependent Variational Principles for Hybrid Non-Unitary Dynamics: Application to Driven-Dissipative Superconductors
We introduce time-dependent variational principles to study the non-unitary dynamics of open quantum many-body systems, including dynamics described by the full Lindblad master equation, the non-Hermitian dynamics corresponding to the no-click limit of the fully post-selected quantum trajectories, and the dynamics described by a hybrid Lindbladian with a control parameter $α$ which interpolates between the full post-selection and averaging over all quantum trajectories. As an application we st…

Putin says he will stick to 'principles' discussed with Trump in talks on Ukraine: https://benborges.xyz/2025/10/10/putin-says-he-will-stick.html

Non-Hermitian Bethe-Salpeter Equation for Open Systems: Emergence of Exceptional Points in Excitonic Spectra from First Principles
Zhenlin Zhang, Wei Hu, Enrico Perfetto, Gianluca Stefanucci
https://arxiv.org/abs/2510.09386

Non-Hermitian Bethe-Salpeter Equation for Open Systems: Emergence of Exceptional Points in Excitonic Spectra from First Principles
In open quantum systems hosting excitons, dissipation mechanisms critically shape the excitonic dynamics, band-structure and topological properties. A microscopic understanding of excitons in such non-Hermitian settings demands a first-principles generalization of the Bethe-Salpeter equation (BSE). Building on a recently introduced nonequilibrium Green's function formalism compatible with Lindbladian dynamics, we derive a non-Hermitian BSE from diagrammatic perturbation theory on the Keldysh co…

Today is MSNBC's first day apart from NBC. Here is its new code of principles. (Tom Jones/Poynter)
https://www.poynter.org/commentary/2025/msbnc-rebrand-starts-today-code-principles/
http://www.memeorandum.com/251006/p86#a251006p86

Walking, Rolling, and Beyond: First-Principles and RL Locomotion on a TARS-Inspired Robot
Aditya Sripada, Abhishek Warrier
https://arxiv.org/abs/2510.05001 https://

Walking, Rolling, and Beyond: First-Principles and RL Locomotion on a TARS-Inspired Robot
Robotic locomotion research typically draws from biologically inspired leg designs, yet many human-engineered settings can benefit from non-anthropomorphic forms. TARS3D translates the block-shaped 'TARS' robot from Interstellar into a 0.25 m, 0.99 kg research platform with seven actuated degrees of freedom. The film shows two primary gaits: a bipedal-like walk and a high-speed rolling mode. For TARS3D, we build reduced-order models for each, derive closed-form limit-cycle conditions, and valid…

Mike Johnson’s refusal to swear in Adelina Grivalja for this long
—much less communicate with those on the other side of the aisle
—is a failure of leadership and a stunning betrayal of basic democratic principles
https://bsky.app/profile/theswprincess.bsky.so…

Leia🇨🇴🇺🇸 (@theswprincess.bsky.social)
Mike Johnson sent everyone home & refuses to talk to Democrats. “There’s absolutely no reason for the House to be out of session,” said GOP Rep. Kevin Kiley. He’s stalling Adelita Grivalja’s swearing in to avoid a vote on the Epstein files. Most people get fired for not doing their job.

If you disagree, I respect that, but I am personally a victim of this kind of dictionary manipulation and distortion. It is deeply frustrating to see definitions twisted and weaponized against me, and the true meaning of syndicalism, as if bending language could erase its real principles and goals. This kind of intellectual dishonesty is not only misleading but also personally disempowering for those of us who stand for genuine social change.
I advocate for the collectivization of land…

'Accept that quality matters more than velocity.
Measure actual resource usage, not features shipped.
Make efficiency a promotion criterion. Reward engineers who reduce resource usage. Penalize those who increase it without a corresponding value.
Stop hiding behind abstractions.
Teach fundamental engineering principles again.'
From: @…

Hierarchical high-throughput screening of alkaline-stable lithium-ion conductors combining machine learning and first-principles calculations
Zhuohan Li, KyuJung Jun, Bowen Deng, Gerbrand Ceder
https://arxiv.org/abs/2511.20964

From Principles to Practice: A Systematic Study of LLM Serving on Multi-core NPUs
Tianhao Zhu, Dahu Feng, Erhu Feng, Yubin Xia
https://arxiv.org/abs/2510.05632 https://

From Principles to Practice: A Systematic Study of LLM Serving on Multi-core NPUs
With the widespread adoption of Large Language Models (LLMs), the demand for high-performance LLM inference services continues to grow. To meet this demand, a growing number of AI accelerators have been proposed, such as Google TPU, Huawei NPU, Graphcore IPU, and Cerebras WSE, etc. Most of these accelerators adopt multi-core architectures to achieve enhanced scalability, but lack the flexibility of SIMT architectures. Therefore, without careful configuration of the hardware architecture, as wel…

Design Principles for Sequence Models via Coefficient Dynamics
Jerome Sieber, Antonio Orvieto, Melanie N. Zeilinger, Carmen Amo Alonso
https://arxiv.org/abs/2510.09389 https://

Design Principles for Sequence Models via Coefficient Dynamics
Deep sequence models, ranging from Transformers and State Space Models (SSMs) to more recent approaches such as gated linear RNNs, fundamentally compute outputs as linear combinations of past value vectors. To draw insights and systematically compare such architectures, we develop a unified framework that makes this output operation explicit, by casting the linear combination coefficients as the outputs of autonomous linear dynamical systems driven by impulse inputs. This viewpoint, in spirit s…

$h$-Principles for smooth curves and knots with prescribed curvature
Mohammad Ghomi, Matteo Raffaelli
https://arxiv.org/abs/2510.05275 https://arxiv.org/pd…

$h$-Principles for smooth curves and knots with prescribed curvature
We show that smooth curves with prescribed curvature satisfy a $C^1$-dense $h$-principle in the space of immersed curves in Euclidean space. More precisely, every $C^{α\geq 2}$ curve with nonvanishing curvature in $R^{n\geq 3}$ can be $C^1$-approximated by $C^α$ curves of any larger curvature, prescribed as a function of arclength. It follows that there exist $C^\infty$ knots of prescribed curvature in every isotopy class of closed curves embedded in $R^3$.

Tidy Modeling with R: #rstats #machinelearning

Tidy Modeling with R
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. This book provides a thorough introduction to how to use tidymodels, and an outline of good methodology and statistical practice for phases of the modeling process.

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Runting Li, Shijie Lian, Hua Li, Yutong Li, Wenhui Wu, Sam Kwong
https://arxiv.org/abs/2510.12605

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Underwater Salient Object Detection (USOD) faces significant challenges, including underwater image quality degradation and domain gaps. Existing methods tend to ignore the physical principles of underwater imaging or simply treat degradation phenomena in underwater images as interference factors that must be eliminated, failing to fully exploit the valuable information they contain. We propose WaterFlow, a rectified flow-based framework for underwater salient object detection that innovatively…

Lovely article about the magic of physical #books in Asterisk Magazine:
> Kalman is exquisitely attuned to the magic of physical books. In fact, she includes the instructions and ingredients for another type of spell in The Principles of Uncertainty.
>
> Attached on a perforated edge is a folded map of the world, drawn by her mother. “Either put it on the wall,” suggests…

The Message in the Medium—Asterisk
A love story told in books.

omg this could be so great. The guy responsible for “Liquid Glass” is gone from Apple. Maybe in the coming years we’ll see a retreat from this very bad design style from MacOS & iOS and a refocusing on good UI principles. https://mastodon.social/@daringfireball/115659146746706644

omg this could be so great. The guy responsible for “Liquid Glass” is gone from Apple. Maybe in the coming years we’ll see a retreat from this very bad design style from MacOS & iOS and a refocusing on good UI principles. https://mastodon.social/@daringfireball/115659146746706644

Design principles of the cytotoxic CD8 T-cell response
Obinna A. Ukogu, Zachary Montague, Gr\'egoire Altan-Bonnet, Armita Nourmohammad
https://arxiv.org/abs/2509.22997 http…

Design principles of the cytotoxic CD8+ T-cell response
Cytotoxic T lymphocytes eliminate infected or malignant cells, safeguarding surrounding tissues. Although experimental and systems-immunology studies have cataloged many molecular and cellular actors involved in an immune response, the design principles governing how the speed and magnitude of T-cell responses emerge from cellular decision-making remain elusive. Here, we recast a T-cell response as a feedback-controlled program, wherein the rates of activation, proliferation, differentiation an…

New White House guidance says AI models procured by federal agencies must have "unbiased AI principles" and ensure "truth-seeking" and "ideological neutrality" (Maria Curi/Axios)
https://www.axios.com/2025/12/11/white-house-woke-ai…

White House issues federal agency guidance against "woke" AI
The Trump administration released guidance for federal agencies to try to ensure that the AI models they buy aren't spitting out "woke" responses.

The Constitution was an attempt to solve the oldest political problem:
how to make liberty durable by making power difficult.
A system of government both sufficient to keep order,
but not so overbearing it snuffs out the rights of the people.
The principles behind its design
—divided authority, overlapping ambitions
—was drawn from centuries of failed experiments.
It was also intended to adapt,
to learn, to be amended as needed.
Repairi…

This No Kings Day, The UnPopulist Launches ‘The Reconstruction Agenda’
Liberals need to start planning for a post-authoritarian future and rebuilding stronger institutions that a rogue president can’t so easily take over and weaponize again

Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach
Zhenyu Mao, Jacky Keung, Fengji Zhang, Shuo Liu, Yifei Wang, Jialong Li
https://arxiv.org/abs/2510.12120 https:/…

Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach
The increasing demand for software development has driven interest in automating software engineering (SE) tasks using Large Language Models (LLMs). Recent efforts extend LLMs into multi-agent systems (MAS) that emulate collaborative development workflows, but these systems often fail due to three core deficiencies: under-specification, coordination misalignment, and inappropriate verification, arising from the absence of foundational SE structuring principles. This paper introduces Software En…

PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities
Zicheng Liu, Lige Huang, Jie Zhang, Dongrui Liu, Yuan Tian, Jing Shao
https://arxiv.org/abs/2510.11688

PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation Capabilities
The increasing autonomy of Large Language Models (LLMs) necessitates a rigorous evaluation of their potential to aid in cyber offense. Existing benchmarks often lack real-world complexity and are thus unable to accurately assess LLMs' cybersecurity capabilities. To address this gap, we introduce PACEbench, a practical AI cyber-exploitation benchmark built on the principles of realistic vulnerability difficulty, environmental complexity, and cyber defenses. Specifically, PACEbench comprises four…

Part of the trick is to sell a computer with a microphone and a speaker and call it a phone.
From: @…
https://hostux.social/@don_atoms/1152890009292…

🌿 Oxford’s TIDE Centre launches the Nature’s Intelligence Studio at #COP30 — turning 3.4 billion years of evolution into solutions for today’s climate and energy challenges. Innovation inspired by the Amazon, for the planet. 🌍✨

Oxford's TIDE Centre launches Nature’s Intelligence Studio at COP30 | University of Oxford
The University of Oxford’s TIDE Centre (Technology and Industrialisation for Development Centre) has launched the Nature’s Intelligence Studio, a new programme to translate principles observed in biological systems into technologies that support the energy transition and wider sustainability goals, while ensuring fair benefit-sharing with communities in biodiverse regions.

Assurance of Frontier AI Built for National Security
Matteo Pistillo, Charlotte Stix
https://arxiv.org/abs/2510.08792 https://arxiv.org/pdf/2510.08792

Assurance of Frontier AI Built for National Security
This memorandum presents four recommendations aimed at strengthening the principles of AI model reliability and AI model governability, as DoW, ODNI, NIST, and CAISI refine AI assurance frameworks under the AI Action Plan. Our focus concerns the open scientific problem of misalignment and its implications on AI model behavior. Specifically, misalignment and scheming capabilities can be a red flag indicating AI model insufficient reliability and governability. To address the national security th…

David #Lammy,
“Trials are a fundamental part of our democratic settlement. Criminal trials without juries are a bad idea.”
And,
<<I have principles. If they are inconvenient, I have others,>>
Why is the UK scaling back jury trials, and why is it controversial? | Civil Rights News | Al Jazeera

Why is the UK scaling back jury trials, and why is it controversial?
Right to trial by jury seen as a touchstone of the British justice system, but severe court backlogs may prompt change.

Massive Gauge Theories from Consistency Conditions of Amplitudes
Junmou Chen
https://arxiv.org/abs/2510.09003 https://arxiv.org/pdf/2510.09003

Massive Gauge Theories from Consistency Conditions of Amplitudes
Based on the general principles of Lorentz symmetry and unitary, we introduce two consistency conditions -- on-shell gauge symmetry and strong massive-massless continuation -- in constructing amplitudes of massive gauge theory with elementary particles. In particular we argue on-shell gauge symmtry can be understood as a consequence of Lorentz symmetry, through mixture of a spin-1 block ands a spin-0 block with degnerate mass spectrum. Based on the two conditions, combined with the little group…

'Trump is inconsistent with Christian principles': why the Democratic party is seeing a rise of white clergy candidates (David Smith/The Guardian)
https://www.theguardian.com/us-news/2025/nov/15/christian-democrat-candidates-trump-republicans
http://www.memeorandum.com/251115/p60#a251115p60

Fine-grained Analysis of Brain-LLM Alignment through Input Attribution
Michela Proietti, Roberto Capobianco, Mariya Toneva
https://arxiv.org/abs/2510.12355 https://

Fine-grained Analysis of Brain-LLM Alignment through Input Attribution
Understanding the alignment between large language models (LLMs) and human brain activity can reveal computational principles underlying language processing. We introduce a fine-grained input attribution method to identify the specific words most important for brain-LLM alignment, and leverage it to study a contentious research question about brain-LLM alignment: the relationship between brain alignment (BA) and next-word prediction (NWP). Our findings reveal that BA and NWP rely on largely dis…

BIFROST: A First-Principles Model of Polarization Mode Dispersion in Optical Fiber
Patrick R. Banner, Steven L. Rolston, Joseph W. Britton
https://arxiv.org/abs/2510.01212 https…

BIFROST: A First-Principles Model of Polarization Mode Dispersion in Optical Fiber
We present BIFROST, a first-principles model of polarization mode dispersion (PMD) in optical fibers. Unlike conventional models, BIFROST employs physically motivated representations of the PMD properties of fibers, allowing users to computationally investigate real-world fibers in ways that are connected to physical parameters such as environmental temperature and external stresses. Our model, implemented in an open-source Python module, incorporates birefringence from core geometry, material …

This is what I do. Do you?
1: Think first, AI second 
2: Use AI as a coach, not a cheerleader 
3: Engineer productive friction 
Details here:
https://every.to/p/think-first-ai-second?ph_email=gfriend@natlogic.com

Think First, AI Second
Three principles for keeping your cognitive edge while leveraging AI's capabilities

Robot Learning: A Tutorial
Francesco Capuano, Caroline Pascal, Adil Zouitine, Thomas Wolf, Michel Aractingi
https://arxiv.org/abs/2510.12403 https://arxiv.…

Robot Learning: A Tutorial
Robot learning is at an inflection point, driven by rapid advancements in machine learning and the growing availability of large-scale robotics data. This shift from classical, model-based methods to data-driven, learning-based paradigms is unlocking unprecedented capabilities in autonomous systems. This tutorial navigates the landscape of modern robot learning, charting a course from the foundational principles of Reinforcement Learning and Behavioral Cloning to generalist, language-conditione…

Learning Hanzi Character Through VR-Based Mortise-Tenon
Conglin Ma, Jiatong Li, Sen-Zhe Xu, Ju Dai, Jie Liu, Feng Zhou
https://arxiv.org/abs/2510.11264 https://

Learning Hanzi Character Through VR-Based Mortise-Tenon
This paper introduces a novel VR-based system that redefines the acquisition of Hanzi character literacy by integrating traditional mortise-tenon joinery principles (HVRMT).Addressing the challenge of abstract character memorization in digital learning,our system deconstructs Hanzi components into interactive "structural radicals"akin to wooden joint modules.Leveraging PICO's 6DoF spatial tracking and LLM's morphological analysis,learners assemble stroke sequences with haptic feedback simulatin…

Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
Stefan Pasch
https://arxiv.org/abs/2510.09968 https://

Operationalizing AI: Empirical Evidence on MLOps Practices, User Satisfaction, and Organizational Context
Organizational efforts to utilize and operationalize artificial intelligence (AI) are often accompanied by substantial challenges, including scalability, maintenance, and coordination across teams. In response, the concept of Machine Learning Operations (MLOps) has emerged as a set of best practices that integrate software engineering principles with the unique demands of managing the ML lifecycle. Yet, empirical evidence on whether and how these practices support users in developing and operat…

Heptapod: Language Modeling on Visual Signals
Yongxin Zhu, Jiawei Chen, Yuanzhe Chen, Zhuo Chen, Dongya Jia, Jian Cong, Xiaobin Zhuang, Yuping Wang, Yuxuan Wang
https://arxiv.org/abs/2510.06673

Heptapod: Language Modeling on Visual Signals
We introduce Heptapod, an image autoregressive model that adheres to the foundational principles of language modeling. Heptapod employs \textbf{causal attention}, \textbf{eliminates reliance on CFG}, and \textbf{eschews the trend of semantic tokenizers}. Our key innovation is \textit{next 2D distribution prediction}: a causal Transformer with reconstruction-focused visual tokenizer, learns to predict the distribution over the entire 2D spatial grid of images at each timestep. This learning obje…

Petition of Right, (1628)
was a petition sent by the English Parliament to King Charles I,
complaining of a series of breaches of law.
The petition sought recognition of four principles:
🔸no taxation without the consent of Parliament,
🔸no imprisonment without cause,
🔸no quartering of soldiers on subjects,
🔸and no martial law in peacetime.
After dismissing his second Parliament,
Charles imposed a "forced loan", an effective tax wh…

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova, Martin Lnenicka, Ulf Melin, David Valle-Cruz, Asif Gill, Cesar Casiano Flores, Emyana Sirait, Mariusz Luterek, Richard Michael Dreyling, Barbora Tesarova
https://arxiv.org/abs/2510.09634

Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Despite Artificial Intelligence (AI) transformative potential for public sector services, decision-making, and administrative efficiency, adoption remains uneven due to complex technical, organizational, and institutional challenges. Responsible AI frameworks emphasize fairness, accountability, and transparency, aligning with principles of trustworthy AI and fair AI, yet remain largely aspirational, overlooking technical and institutional realities, especially foundational data and governance. …

$\beta$-Ga$_2$O$_3$(001) surface reconstructions from first principles and experiment
Konstantin Lion, Piero Mazzolini, Kingsley Egbo, Toni Markurt, Oliver Bierwagen, Martin Albrecht, Claudia Draxl
https://arxiv.org/abs/2510.09233

$β$-Ga$_2$O$_3$(001) surface reconstructions from first principles and experiment
We present a comprehensive investigation of reconstructions on $β$-Ga$_2$O$_3$(001) combining first-principles calculations with experimental observations. Using {\it ab initio} atomistic thermodynamics and replica-exchange grand-canonical molecular dynamics simulations, we explore the configurational space of possible reconstructions under varying chemical potentials of oxygen and gallium. Our calculations reveal several stable surface reconstructions, most notably a previously unreported 1$\…

Efficient Hyperparameter Tuning via Trajectory Invariance Principle
Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen
https://arxiv.org/abs/2509.25049 https://…

Efficient Hyperparameter Tuning via Trajectory Invariance Principle
As hyperparameter tuning becomes increasingly costly at scale, efficient tuning methods are essential. Yet principles for guiding hyperparameter tuning remain limited. In this work, we seek to establish such principles by considering a broad range of hyperparameters, including batch size, learning rate, and weight decay. We identify a phenomenon we call trajectory invariance, where pre-training loss curves, gradient noise, and gradient norm exhibit invariance--closely overlapping--with respect …

Language Models Model Language
{\L}ukasz Borchmann
https://arxiv.org/abs/2510.12766 https://arxiv.org/pdf/2510.12766

Language Models Model Language
Linguistic commentary on LLMs, heavily influenced by the theoretical frameworks of de Saussure and Chomsky, is often speculative and unproductive. Critics challenge whether LLMs can legitimately model language, citing the need for "deep structure" or "grounding" to achieve an idealized linguistic "competence." We argue for a radical shift in perspective towards the empiricist principles of Witold Mańczak, a prominent general and historical linguist. He defines language not as a "system of sign…

Insights into the OER, ORR, and HER Activity of a New MXene-Family SnSiGeN4 Photocatalyst for Water Splitting: A First-Principles Study
Chhatra Bahadur Subba, Bhanu Chettri, Amel Laref, Zeesham Abbas, Amna Parveen, Dibya Prakash Rai, Zaithanzauva Pachuau
https://arxiv.org/abs/2510.09538

Insights into the OER, ORR, and HER Activity of a New MXene-Family SnSiGeN4 Photocatalyst for Water Splitting: A First-Principles Study
The development of efficient and cost-effective catalysts for clean energy conversion remains a central challenge in materials science. Although platinum serves as the benchmark catalyst, its scarcity and high cost hinder large-scale deployment. In this study, we propose a newly predicted SnSiGeN4 MXene-family monolayer as a promising candidate for the oxygen evolution reaction (OER), oxygen reduction reaction (ORR), and hydrogen evolution reaction (HER). Using first-principles calculations, we…

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon
https://arxiv.org/abs/2510.10339

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Over the past decade, an ecosystem of measures has emerged to evaluate the social and ethical implications of AI systems, largely shaped by high-level ethics principles. These measures are developed and used in fragmented ways, without adequate attention to how they are situated in AI systems. In this paper, we examine how existing measures used in the computing literature map to AI system components, attributes, hazards, and harms. Our analysis draws on a scoping review resulting in nearly 800…

Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
Wei Tang, Yin-Fang Yang, Weijia Zhang, Min-Ling Zhang
https://arxiv.org/abs/2512.17788 https://arxiv.org/pdf/2512.17788 https://arxiv.org/html/2512.17788
arXiv:2512.17788v1 Announce Type: new
Abstract: Multi-instance partial-label learning (MIPL) is a weakly supervised framework that extends the principles of multi-instance learning (MIL) and partial-label learning (PLL) to address the challenges of inexact supervision in both instance and label spaces. However, existing MIPL approaches often suffer from poor calibration, undermining classifier reliability. In this work, we propose a plug-and-play calibratable disambiguation loss (CDL) that simultaneously improves classification accuracy and calibration performance. The loss has two instantiations: the first one calibrates predictions based on probabilities from the candidate label set, while the second one integrates probabilities from both candidate and non-candidate label sets. The proposed CDL can be seamlessly incorporated into existing MIPL and PLL frameworks. We provide a theoretical analysis that establishes the lower bound and regularization properties of CDL, demonstrating its superiority over conventional disambiguation losses. Experimental results on benchmark and real-world datasets confirm that our CDL significantly enhances both classification and calibration performance.
toXiv_bot_toot

Demystifying Reinforcement Learning in Agentic Reasoning
Zhaochen Yu, Ling Yang, Jiaru Zou, Shuicheng Yan, Mengdi Wang
https://arxiv.org/abs/2510.11701 https://

Demystifying Reinforcement Learning in Agentic Reasoning
Recently, the emergence of agentic RL has showcased that RL could also effectively improve the agentic reasoning ability of LLMs, yet the key design principles and optimal practices remain unclear. In this work, we conduct a comprehensive and systematic investigation to demystify reinforcement learning in agentic reasoning from three key perspectives: data, algorithm, and reasoning mode. We highlight our key insights: (i) Replacing stitched synthetic trajectories with real end-to-end tool-use t…

On the one hand, it does little to accuse the MAGA right of hypocrisy,
because they expressly reject moral and logical consistency,
aiming only for dominance and retribution.
On the other, it’s worth examining the way they bamboozled a majority of Americans into
believing conservatives are simply fighting for the principles of free expression and intellectual diversity.
The key to understanding this is recognizing how the right worked around the limitations …

State Universities Are Scrambling to Appease the Bigoted MAGA Regime
From Oklahoma to Indiana to Alabama, state schools are bending over backward—suspending student magazines and even disciplining instructors—to preemptively satisfy the Trump administration.

Polyharmonic Cascade
Yuriy N. Bakhvalov
https://arxiv.org/abs/2512.17671 https://arxiv.org/pdf/2512.17671 https://arxiv.org/html/2512.17671
arXiv:2512.17671v1 Announce Type: new
Abstract: This paper presents a deep machine learning architecture, the "polyharmonic cascade" -- a sequence of packages of polyharmonic splines, where each layer is rigorously derived from the theory of random functions and the principles of indifference. This makes it possible to approximate nonlinear functions of arbitrary complexity while preserving global smoothness and a probabilistic interpretation. For the polyharmonic cascade, a training method alternative to gradient descent is proposed: instead of directly optimizing the coefficients, one solves a single global linear system on each batch with respect to the function values at fixed "constellations" of nodes. This yields synchronized updates of all layers, preserves the probabilistic interpretation of individual layers and theoretical consistency with the original model, and scales well: all computations reduce to 2D matrix operations efficiently executed on a GPU. Fast learning without overfitting on MNIST is demonstrated.
toXiv_bot_toot

Unveiling the physical attributes of CdGa2Te4 and ZnGa2Te4 compounds: A first-principles study for next-generation photovoltaics
Md Hasan Shahriar Rifat, Tanvir Khan, Md Arafat Hossain Shourov, Md Sahat Bin Sayed, Md Saiful Islam
https://arxiv.org/abs/2510.05424

Unveiling the physical attributes of CdGa2Te4 and ZnGa2Te4 compounds: A first-principles study for next-generation photovoltaics
The electronic and optical properties of CdGa2Te4 and ZnGa2Te4 were studied using first-principles DFT calculations. Band gaps were calculated using the GGA-PBESol functional. Both materials show promise for photovoltaic applications because of their large, near-unity absorption efficiencies (10^4 cm^-1) in the visible region. They exhibit low exciton binding energies (18.85-26.81 meV), large Bohr radii (23-34.3 Angstrom), and moderate exciton temperatures (218-311 K), which are favorable for p…

RE: https://social.linux.pizza/@midtsveen/115657936041117923
Had to get this off my chest, because we're not the same. If you're compromising anarcho-syndicalist principles with reformism, electoralism, or party politics, just call yourself an…

Quasiparticle effects and strong excitonic features in exfoliable 1D semiconducting materials
Simone Grillo, Chiara Cignarella, Friedhelm Bechstedt, Paola Gori, Maurizia Palummo, Davide Campi, Nicola Marzari, Olivia Pulci
https://arxiv.org/abs/2510.09194

Quasiparticle effects and strong excitonic features in exfoliable 1D semiconducting materials
We report a comprehensive first-principles study of the electronic and optical properties of recently identified exfoliable one-dimensional semiconducting materials, focusing on chalcogenide-based atomic chains derived from van der Waals-bonded bulk crystals. Specifically, we investigate covalently bonded S3 and Te3 chains, and polar-bonded As2S3 and Bi2Te3 chains, using a fully first-principles approach that combines density-functional theory (DFT), density-functional perturbation theory (DFPT…

Uncertainty in Machine Learning
Hans Weytjens, Wouter Verbeke
https://arxiv.org/abs/2510.06007 https://arxiv.org/pdf/2510.06007

Uncertainty in Machine Learning
This book chapter introduces the principles and practical applications of uncertainty quantification in machine learning. It explains how to identify and distinguish between different types of uncertainty and presents methods for quantifying uncertainty in predictive models, including linear regression, random forests, and neural networks. The chapter also covers conformal prediction as a framework for generating predictions with predefined confidence intervals. Finally, it explores how uncerta…

Magnetotransport in Topological Materials and Nonlinear Hall Effect via First-Principles Electronic Interactions and Band Topology
Dhruv C. Desai, Lauren A. Tan, Jin-Jian Zhou, Shiyu Peng, Jinsoo Park, Marco Bernardi
https://arxiv.org/abs/2510.07585

Magnetotransport in Topological Materials and Nonlinear Hall Effect via First-Principles Electronic Interactions and Band Topology
Topological effects arising from the Berry curvature lead to intriguing transport signatures in quantum materials. Two such phenomena are the chiral anomaly and nonlinear Hall effect (NLHE). A unified description of these transport regimes requires a quantitative treatment of both band topology and electron scattering. Here, we show accurate predictions of the magnetoresistance in topological semimetals and NLHE in noncentrosymmetric materials by solving the Boltzmann transport equation (BTE) w…

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Zheng-An Chen, Tao Luo
https://arxiv.org/abs/2510.06954 https://a…

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Although transformer-based models have shown exceptional empirical performance, the fundamental principles governing their training dynamics are inadequately characterized beyond configuration-specific studies. Inspired by empirical evidence showing improved reasoning capabilities under small initialization scales in language models, we employ the gradient flow analytical framework established in [Zhou et al. NeurIPS 2022] to systematically investigate linearized Transformer training dynamics. …

Orbital-Engineered Spin Asymmetry and Multifunctionality in Eu-Activated CaAlSiN$_3$: A First-Principles Roadmap to Optical-Thermoelectric Fusion
Muhammad Tayyab, Faiq Umar, Sikander Azam, Qaiser Rafiq, Rajwali Khan, Muhammad Tahir Khan, Vineet Tirth, Ali Algahtani
https://arxiv.org/abs/2510.00863 …

Orbital-Engineered Spin Asymmetry and Multifunctionality in Eu-Activated CaAlSiN$_3$: A First-Principles Roadmap to Optical-Thermoelectric Fusion
Rare-earth-doped nitride phosphors are promising materials for solid-state lighting and photonic applications due to their thermal stability, sharp emission lines, and strong UV-blue absorption. In this work, we present a first-principles density functional theory (DFT) study, using the GGA+U approach, of pristine and Eu3+-doped CaAlSiN3 at doping levels of 8.5% and 17%. Electronic structure calculations show that Eu incorporation introduces localized 4f states within the band gap, leading to b…

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
Arindam Chowdhury, Massimiliano Lupo Pasini
https://arxiv.org/abs/2510.05583 https://

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
Graph neural networks (GNNs) are widely used as surrogates for costly experiments and first-principles simulations to study the behavior of compounds at atomistic scale, and their architectural complexity is constantly increasing to enable the modeling of complex physics. While most recent GNNs combine more traditional message passing neural networks (MPNNs) layers to model short-range interactions with more advanced graph transformers (GTs) with global attention mechanisms to model long-range …

C-BerryTrans: A C code for first-principles calculation of Berry-curvature-driven anomalous Hall and Nernst conductivities
Vivek Pandey, Sudhir K. Pandey
https://arxiv.org/abs/2509.24071

C-BerryTrans: A C++ code for first-principles calculation of Berry-curvature-driven anomalous Hall and Nernst conductivities
We present C-BerryTrans, a C++ code designed for first-principles calculations of Berry-curvature-driven transverse transport properties, namely the anomalous Hall conductivity (AHC) i.e., $σ_{μν}^{AHC}$ and anomalous Nernst conductivity (ANC) i.e., $α_{μν}^{ANC}$. The code directly extracts eigenvalues and momentum-matrix elements from WIEN2k calculations and evaluates the Berry curvature ($\boldsymbolΩ$) using a Kubo-like formalism. For computational efficiency, C-BerryTrans paralleliz…

Understanding Polaronic Transport in Anatase TiO2 Films by Combining Precise Synthesis and First-Principles Many-Body Theory
F. Liu, Z. Yang, Y. Luo, S. Guo, C. Zhang, S. Choo, X. Xu, X. Wang, K. A. Mkhoyan, M. Bernardi, B. Jalan
https://arxiv.org/abs/2510.07097

Understanding Polaronic Transport in Anatase TiO2 Films by Combining Precise Synthesis and First-Principles Many-Body Theory
In complex oxides, charge carriers often couple strongly with lattice vibrations to form polarons-entangled electron-phonon quasiparticles whose transport properties remain difficult to characterize. Experimental access to intrinsic polaronic transport requires ultraclean samples, while theoretical descriptions demand methods beyond low-order perturbation theory. Here, we combine the growth of high-quality oxygen-vacancy-doped anatase TiO2 films by hybrid molecular beam epitaxy (MBE) with a fir…

Structural Chirality and Natural Optical Activity across the $\alpha$-to-$\beta$ Phase Transition in SiO$_2$ and AlPO$_4$ from first-principles
F. G\'omez-Ortiz, A. Zabalo, A. M. Glazer, E. E. McCabe, A. H. Romero, E. Bousquet
https://arxiv.org/abs/2510.03047

Structural Chirality and Natural Optical Activity across the $α$-to-$β$ Phase Transition in SiO$_2$ and AlPO$_4$ from first-principles
Natural optical activity (NOA), the ability of a material to rotate the plane of polarized light, has traditionally been associated with structural chirality. However, this relationship has often been oversimplified, leading to conceptual misunderstandings, particularly when attempts are made to directly correlate structural handedness with optical rotatory power. In reality, the relationship between chirality and NOA is more nuanced: optical activity can arise in both chiral and achiral crysta…