Tootfinder

Counterpoint Research: Apple's iPhone sales in China grew 8% YoY in Q2 2025, the first time Apple has recorded growth in China since Q2 2023 (Arjun Kharpal/CNBC)
https://www.cnbc.com/2025/07/03/apple-china-iphone-sales-grew-fo…

Apple's China iPhone sales grows for the first time in two years
Apple is facing intense competition in China from a resurgent Huawei.

1945: rent time from humans.
1955: build your own computer!
1965: rent time on an IBM mainframe.
1975: get your own home computer!
1985: rent time on CompuServe.
1995: get a PC with Windows 95!
2005: rent time on AWS.
2015: get an iPhone or an Android!
2025: rent time on ChatGPT.
2035: get your own whatever!

Congratulations to all the "Elon's reign of terror is over" article writers from last week, great jorb
https://www.wired.com/story/big-balls-young-doge-converted-into-full-time-government-employees/

‘Big Balls’ Is Officially a Full-Time Government Employee
The first wave of DOGE staffers was supposed to be gone after 130 days. Instead, core members of the team have signed on for the long haul.

"The ChargeWise California pilot found that dynamic price signals, combined with automated charging management, achieve up to 98% EV charging load delivered off-peak, above the 60-70% typically achieved by ToU tariffs."
https://www.current-new…

Dynamic price signals beat time-of-use tariffs for energy load management in US trial
A pilot programme funded by the California Energy Commission shows EV charging on dynamic price signals outperforms time-of-use (ToU) rates.

A diverse group highlights the all-time best Cowboys from F-J https://insidethestar.com/a-diverse-group-highlights-the-all-time-best-cowboys-from-f-j

A May 22 move by the Supreme Court may signal the end of the NLRB’s independence, say labor leaders,
and transform the agency into an extension of the White House.
In turn, they warn, Donald Trump could use the board to reward friends and punish enemies. 
“It’s time to ring the alarm bell across the labor movement,”
said Jody Calemine, the director of advocacy at the AFL-CIO, the national union federation representing nearly 15 million workers across the country. 

‘It’s Time to Ring the Alarm Bell’
Labor leaders say a May Supreme Court decision could turn the agency that protects workers into a rubber stamp for President Trump.

Ouch
Toronto’s latest bike lane plan doesn’t propose new lanes for the first time in years
#topoli #biketo

Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding
Ebrahim Feghhi, Shreyas Kaasyap, Nima Hadidi, Jonathan C. Kao
https://arxiv.org/abs/2507.02800

Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding
Speech neuroprostheses aim to restore communication for people with severe paralysis by decoding speech directly from neural activity. To accelerate algorithmic progress, a recent benchmark released intracranial recordings from a paralyzed participant attempting to speak, along with a baseline decoding algorithm. Prior work on the benchmark showed impressive accuracy gains. However, these gains increased computational costs and were not demonstrated in a real-time decoding setting. Here, we mak…

'Last ride?' Where Travis Kelce currently ranks among all-time tight ends as Chiefs star enters Year 13 in NFL

https://www.cbssports.c…

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
https://arxiv.org/abs/2507.02843

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
Estimating treatment effects is crucial for personalized decision-making in medicine, but this task faces unique challenges in clinical practice. At training time, models for estimating treatment effects are typically trained on well-structured medical datasets that contain detailed patient information. However, at inference time, predictions are often made using textual descriptions (e.g., descriptions with self-reported symptoms), which are incomplete representations of the original patient i…

'Big Balls' Is Officially a Full-Time Government Employee (Makena Kelly/Wired)
https://www.wired.com/story/big-balls-young-doge-converted-into-full-time-government-employees/
http://www.memeorandum.com/250604/p61#a250604p61

‘Big Balls’ Is Officially a Full-Time Government Employee | WIRED
https://www.wired.com/story/big-balls-young-doge-converted-into-full-time-government-employees/

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates
https://

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
Large language models (LLMs) have rapidly progressed into general-purpose agents capable of solving a broad spectrum of tasks. However, current models remain inefficient at reasoning: they apply fixed inference-time compute regardless of task complexity, often overthinking simple problems while underthinking hard ones. This survey presents a comprehensive review of efficient test-time compute (TTC) strategies, which aim to improve the computational efficiency of LLM reasoning. We introduce a tw…

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models
Gon\c{c}alo Mesquita, Ana Rita C\'oias, Artur Dubrawski, Alexandre Bernardino
https://arxiv.org/abs/2506.03752

Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models
The growing demands of stroke rehabilitation have increased the need for solutions to support autonomous exercising. Virtual coaches can provide real-time exercise feedback from video data, helping patients improve motor function and keep engagement. However, training real-time motion analysis systems demands frame-level annotations, which are time-consuming and costly to obtain. In this work, we present a framework that learns to classify individual frames from video-level annotations for real…

"What Stroustrup wanted was apparently what a lot of people wanted: a language that provided OOP features, such as those offered by Smalltalk, but compiled into binaries that would execute as fast as an executable written in C.
The solution Stroustrup adopted was not to adopt the Smalltalk model, but instead to take inspiration from fellow Scandinavians and to bolt ideas borrowed from Simula into C."

Dynamic real-time multi-UAV cooperative mission planning method under multiple constraints
Chenglou Liu, Yufeng Lu, Fangfang Xie, Tingwei Ji, Yao Zheng
https://arxiv.org/abs/2506.02365

Dynamic real-time multi-UAV cooperative mission planning method under multiple constraints
As UAV popularity soars, so does the mission planning associated with it. The classical approaches suffer from the triple problems of decoupled of task assignment and path planning, poor real-time performance and limited adaptability. Aiming at these challenges, this paper proposes a dynamic real-time multi-UAV collaborative mission planning algorithm based on Dubins paths under a distributed formation structure. Dubins path with multiple advantages bridges the gap between task assignment and p…

Ukrainian Forces strike Russian 8th Army command center for second time in a week: https://benborges.xyz/2025/07/05/ukrainian-forces-strike-russian-th.html

Time Resolution Independent Operator Learning
Diab W. Abueidda, Mbebo Nonna, Panos Pantidis, Mostafa E. Mobasher
https://arxiv.org/abs/2507.02524 https://

Time Resolution Independent Operator Learning
Accurately learning solution operators for time-dependent partial differential equations (PDEs) from sparse and irregular data remains a challenging task. Recurrent DeepONet extensions inherit the discrete-time limitations of sequence-to-sequence (seq2seq) RNN architectures, while neural-ODE surrogates cannot incorporate new inputs after initialization. We introduce NCDE-DeepONet, a continuous-time operator network that embeds a Neural Controlled Differential Equation (NCDE) in the branch and a…

Totoro spoilers
Re the quoted post from @…:
The very first time I saw My Neighbor Totoro, it was because a friend cajoled me into attending the student anime club’s showing with absolutely no context whatsoever except “you •have• to see this movie, Paul.” I had no idea what genre it was. I had no idea that it was a movie considered suitable for kids. The last anime I’d seen was IIRC Ghost in the Shell; I was ready for anything.
When Mei went missing, I thought, “omg, is this a tragedy? I think this story is a tragedy!” The whole time they were looking for her, I was absolutely terrified. I thought for sure they’d found her sandal. I still tear up when they find her now, on every rewatching.
I’m so glad for that first viewing. It’s a much better movie that way. When you’re expecting an innocent movie about cute forest plushies, you see that. But when you see that it could be a tragedy — the mother’s shadowy illness, the lost child — it hits hard. https://wandering.shop/@Violinknitter/114792748619083661

"Eventually, I stopped responding to my body. I was responding instead to a dashboard." — @…
This is a great point and very much translates to so many other parts of life/work where people stop listening to their "body" (or to their org/product/offering), outsourcing/numbing/dumbing down their decision making based on dashboards of col…

Why I Gave Up My Smartwatch
Somewhere between the first time I tapped my wrist to skip a song and the three hundredth time I anxiously checked my resting heart rate, I started to hate my Apple Watch. The promise of the smartwatch was elegance, convenience, optimization. What I got was constant data drip, subtle panic,

Time to step back from a few things for a while. Had a rough time of it recently. Be excellent to each other.

CityPulse: Real-Time Traffic Data Analytics and Congestion Prediction
Idriss Djiofack Teledjieu, Irzum Shafique
https://arxiv.org/abs/2506.01971 https://…

CityPulse: Real-Time Traffic Data Analytics and Congestion Prediction
CityPulse is a proof-of-concept big data pipeline designed to enable real-time urban mobility analytics using scalable, containerized components -- without reliance on physical sensor infrastructure. The system simulates the ingestion of 11 million traffic-related records representing urban phenomena such as vehicle congestion, GPS coordinates, and weather conditions. Data is ingested through a Dockerized Apache Kafka cluster, coordinated by ZooKeeper, and processed in real time using Apache Sp…

A second-order and unconditionally stable time filtered scheme for the Cahn-Hilliard-Navier-Stokes system
Xi Li, Haijun Gao, Chunmei Xie, Minfu Feng
https://arxiv.org/abs/2507.02402

A second-order and unconditionally stable time filtered scheme for the Cahn-Hilliard-Navier-Stokes system
In this work, we propose, analyze, and test a novel computational low-complexity, linear, second-order, and unconditional energy-stable semi-discrete time-stepping scheme for the Cahn-Hilliard-Navier-Stokes (CHNS) system by employing the time filter technique. Firstly, the first-order semi-implicit backward Euler (BE) method is utilized to discretize the CHNS model; Secondly, the time filter, as a post-processing strategy, is incorporated into the BE scheme, requiring only minimal modifications…

A late addition to stroke awareness month (May).
From my article: #health #stroke

Given my background around the funeral industry and writing thrillers, is anyone surprised that I'd like to see this? #TrueCrime
https://time.com/7290184/the-…

The Chilling True Story Behind HBO’s The Mortician
The documentary series examines the startling true story of a cremator who went to prison for mishandling human remains

Long; central Massachusetts colonial history
Today on a whim I visited a site in Massachusetts marked as "Huguenot Fort Ruins" on OpenStreetMaps. I drove out with my 4-year-old through increasingly rural central Massachusetts forests & fields to end up on a narrow street near the top of a hill beside a small field. The neighboring houses had huge lawns, some with tractors.
Appropriately for this day and this moment in history, the history of the site turns out to be a microcosm of America. Across the field beyond a cross-shaped stone memorial stood an info board with a few diagrams and some text. The text of the main sign (including typos/misspellings) read:
"""
Town Is Formed
Early in the 1680's, interest began to generate to develop a town in the area west of Natick in the south central part of the Commonwealth that would be suitable for a settlement. A Mr. Hugh Campbell, a Scotch merchant of Boston petitioned the court for land for a colony. At about the same time, Joseph Dudley and William Stoughton also were desirous of obtaining land for a settlement. A claim was made for all lands west of the Blackstone River to the southern land of Massachusetts to a point northerly of the Springfield Road then running southwesterly until it joined the southern line of Massachusetts.
Associated with Dudley and Stoughton was Robert Thompson of London, England, Dr. Daniel Cox and John Blackwell, both of London and Thomas Freak of Hannington, Wiltshire, as proprietors. A stipulation in the acquisition of this land being that within four years thirty families and an orthodox minister settle in the area. An extension of this stipulation was granted at the end of the four years when no group large enough seemed to be willing to take up the opportunity.
In 1686, Robert Thompson met Gabriel Bernor and learned that he was seeking an area where his countrymen, who had fled their native France because of the Edict of Nantes, were desirous of a place to live. Their main concern was to settle in a place that would allow them freedom of worship. New Oxford, as it was the so-named, at that time included the larger part of Charlton, one-fourth of Auburn, one-fifth of Dudley and several square miles of the northeast portion of Southbridge as well as the easterly ares now known as Webster.
Joseph Dudley's assessment that the area was capable of a good settlement probably was based on the idea of the meadows already established along with the plains, ponds, brooks and rivers. Meadows were a necessity as they provided hay for animal feed and other uses by the settlers. The French River tributary books and streams provided a good source for fishing and hunting. There were open areas on the plains as customarily in November of each year, the Indians burnt over areas to keep them free of underwood and brush. It appeared then that this area was ready for settling.
The first seventy-five years of the settling of the Town of Oxford originally known as Manchaug, embraced three different cultures. The Indians were known to be here about 1656 when the Missionary, John Eliott and his partner Daniel Gookin visited in the praying towns. Thirty years later, in 1686, the Huguenots walked here from Boston under the guidance of their leader Isaac Bertrand DuTuffeau. The Huguenot's that arrived were not peasants, but were acknowledged to be the best Agriculturist, Wine Growers, Merchant's, and Manufacter's in France. There were 30 families consisting of 52 people. At the time of their first departure (10 years), due to Indian insurrection, there were 80 people in the group, and near their Meetinghouse/Church was a Cemetery that held 20 bodies. In 1699, 8 to 10 familie's made a second attempt to re-settle, failing after only four years, with the village being completely abandoned in 1704.
The English colonist made their way here in 1713 and established what has become a permanent settlement.
"""
All that was left of the fort was a crumbling stone wall that would have been the base of a higher wooden wall according to a picture of a model (I didn't think to get a shot of that myself). Only trees and brush remain where the multi-story main wooden building was.
This story has so many echoes in the present:
- The rich colonialists from Boston & London agree to settle the land, buying/taking land "rights" from the colonial British court that claimed jurisdiction without actually having control of the land. Whether the sponsors ever actually visited the land themselves I don't know. They surely profited somehow, whether from selling on the land rights later or collecting taxes/rent or whatever, by they needed poor laborers to actually do the work of developing the land (& driving out the original inhabitants, who had no say in the machinations of the Boston court).
- The land deal was on condition that there capital-holders who stood to profit would find settlers to actually do the work of colonizing. The British crown wanted more territory to be controlled in practice not just in theory, but they weren't going to be the ones to do the hard work.
- The capital-holders actually failed to find enough poor suckers to do their dirty work for 4 years, until the Huguenots, fleeing religious persecution in France, were desperate enough to accept their terms.
- Of course, the land was only so ripe for settlement because of careful tending over centuries by the natives who were eventually driven off, and whose land management practices are abandoned today. Given the mention of praying towns (& dates), this was after King Phillip's war, which resulted in at least some forced resettlement of native tribes around the area, but the descendants of those "Indians" mentioned in this sign are still around. For example, this is the site of one local band of Nipmuck, whose namesake lake is about 5 miles south of the fort site: #LandBack.

Time path of turbulence and multi-fractality of magnetic field in the evolution of an active region
Valentina Abramenko
https://arxiv.org/abs/2506.02586 ht…

Time path of turbulence and multi-fractality of magnetic field in the evolution of an active region
Magnetograms acquired with the Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO) were used to calculate and analyze time variations of turbulence and multifractality in the photosphere during the development and flaring of a mature active region NOAA 13354 during its passage across the solar disk. Turbulence was explored with 2D magnetic power spectra from magnetograms, and multifractality was analyzed using the structure functions of magnetograms. Time vari…

Real-Time Monitoring and Transparency in Pizza Production Using IoT and Blockchain
Azmat Ullah, Maria Ilaria Lunesu, Lodovica Marchesi, Roberto Tonelli
https://arxiv.org/abs/2507.02536

Real-Time Monitoring and Transparency in Pizza Production Using IoT and Blockchain
This paper presents a blockchain-based Internet of Things (IoT) system for monitoring pizza production in restaurants. IoT devices track temperature and humidity in real-time, while blockchain ensures secure and tamper-proof data. A Raspberry Pi processes sensor data, captures images, triggers alerts, and interacts with smart contracts. The system detects abnormal conditions, enabling quick responses. Blockchain adds transparency and traceability, supporting compliance and audits. Experiments s…

It's time for the #EV industry to hold itself to a higher standard when it comes to roaming. You can't have your cake and eat it. Make the cake bigger!
https://www.linkedin.com/…

I fully agree with Christian Weinberger's call here: Isn't it time we stop… | Jaap Burger
I fully agree with Christian Weinberger's call here: Isn't it time we stop pretending roaming works and start holding the ecosystem to a higher standard? As a fossil in this industry, I remember how EV roaming took off 15 years ago – it was a no-brainer from a user perspective and a logical step to ensure that the EV charging market could grow, benefiting everyone in the sector. As an early electric car driver eager to travel abroad, I spent a lot of time getting the right passes for local n…

A Practical Linear Time Algorithm for Optimal Tree Decomposition of Halin Graphs
J. A. Alejandro-Soto, Joel Antonio Trejo-Sanchez, Carlos Segura
https://arxiv.org/abs/2506.02346

A Practical Linear Time Algorithm for Optimal Tree Decomposition of Halin Graphs
This work proposes \textsc{H-Td}, a practical linear-time algorithm for computing an optimal-width tree decomposition of Halin graphs. Unlike state-of-the-art methods based on reduction rules or separators, \textsc{H-Td} exploits the structural properties of Halin graphs. Although two theoretical linear-time algorithms exist that can be applied to graphs of treewidth three, no practical implementation has been made publicly available. Furthermore, extending reduction-based approaches to partial…

StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology
William G. Coon, Preston Peranich, Griffin Milsap
https://arxiv.org/abs/2506.03442

StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology
The System to Augment Restorative Sleep (StARS) is a modular hardware/software platform designed for real-time sleep monitoring and intervention. Utilizing the compact DCM biosignal device, StARS captures electrophysiological signals (EEG, EMG, EOG) and synchronizes sensor data using the ezmsg real-time software framework. StARS supports interventions such as closed-loop auditory stimulation and dynamic thermal modulation guided by sleep-stage decoding via advanced neural network models and tra…

A Linear Time Algorithm for Finding Minimum Flip Sequences between Plane Spanning Paths in Convex Point Sets
Oswin Aichholzer, Joseph Dorfer
https://arxiv.org/abs/2507.02740

A Linear Time Algorithm for Finding Minimum Flip Sequences between Plane Spanning Paths in Convex Point Sets
We provide a linear time algorithm to determine the flip distance between two plane spanning paths on a point set in convex position. At the same time, we show that the happy edge property does not hold in this setting. This has to be seen in contrast to several results for reconfiguration problems where the absence of the happy edge property implies algorithmic hardness of the flip distance problem. Further, we show that our algorithm can be adapted for (1) compatible flips (2) local flips and…

Observation of wave amplification and temporal topological state in a genuine photonic time crystal
Jiang Xiong, Xudong Zhang, Longji Duan, Jiarui Wang, Yang Long, Haonan Hou, Letian Yu, Linyang Zou, Baile Zhang
https://arxiv.org/abs/2507.02223

Observation of wave amplification and temporal topological state in a genuine photonic time crystal
Photonic time crystals (PTCs) are materials whose dielectric permittivity is periodically modulated in time, giving rise to bandgaps not in energy-as in conventional photonic crystals-but in momentum, known as k-gaps. These k-gaps enable wave amplification by extracting energy from temporal modulation, offering a mechanism for coherent light generation that bypasses traditional optical gain. PTCs also extend the concept of topological insulators to the time domain, inducing a temporal topologic…

Running-time Analysis of ($\mu \lambda$) Evolutionary Combinatorial Optimization Based on Multiple-gain Estimation
Min Huang, Pengxiang Chen, Han Huang, Tongli He, Yushan Zhang, Zhifeng Hao
https://arxiv.org/abs/2507.02381

Running-time Analysis of ($μ+λ$) Evolutionary Combinatorial Optimization Based on Multiple-gain Estimation
The running-time analysis of evolutionary combinatorial optimization is a fundamental topic in evolutionary computation. However, theoretical results regarding the $(μ+λ)$ evolutionary algorithm (EA) for combinatorial optimization problems remain relatively scarce compared to those for simple pseudo-Boolean problems. This paper proposes a multiple-gain model to analyze the running time of EAs for combinatorial optimization problems. The proposed model is an improved version of the average gai…

@… Truly a joy to watch. Almost wish I could experience watching it for the first time, a second time.

This https://arxiv.org/abs/2205.00368 has been replaced.
link: https://scholar.google.com/scholar?q=a

Direct closed-loop identification of continuous-time systems using fixed-pole observer model
This paper provides a method for obtaining a continuous-time model of a target system in closed-loop from input-output data alone, in the case where no knowledge of the controllers nor excitation signals is available and I/O data may suffer from unknown offsets. The proposed method is based on a fixed-pole observer model, which is a reasonable continuous-time version corresponding to the innovation model in discrete-time and allows the identification of unstable target systems. Furthermore, it …

Line shapes in time- and angle-resolved photoemission spectroscopy explored by machine learning
Tami C. Meyer, Gesa-R. Siemann, Paulina Majchrzak, Thomas Seyller, Jennifer Rigden, Yu Zhang, Emma Springate, Charlotte Sanders, Philip Hofmann
https://arxiv.org/abs/2506.02137

Line shapes in time- and angle-resolved photoemission spectroscopy explored by machine learning
Time- and angle-resolved photoemission spectroscopy is a powerful technique for investigating the dynamics of excited carriers in quantum materials. Typically, data analysis proceeds via the inspection of time distribution curves (TDCs), which represent the time-dependent photoemission intensity in a region of interest -- often chosen somewhat arbitrarily -- in energy-momentum space. Here, we employ $k$-means, an unsupervised machine learning technique, to systematically investigate trends in T…

Quantum Imaginary-Time Evolution with Polynomial Resources in Time
Lei Zhang, Jizhe Lai, Xian Wu, Xin Wang
https://arxiv.org/abs/2507.00908 https://…

Quantum Imaginary-Time Evolution with Polynomial Resources in Time
Imaginary-time evolution is fundamental to analyzing quantum many-body systems, yet classical simulation requires exponentially growing resources in both system size and evolution time. While quantum approaches reduce the system-size scaling, existing methods rely on heuristic techniques with measurement precision or success probability that deteriorates as evolution time increases. We present a quantum algorithm that prepares normalized imaginary-time evolved states using an adaptive normaliza…

This https://arxiv.org/abs/2505.21323 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

A first look at ROS~2 applications written in asynchronous Rust
The increasing popularity of the Rust programming language in building robotic applications using the Robot Operating System (ROS~2) raises questions about its real-time execution capabilities, particularly when employing asynchronous programming. Existing real-time scheduling and response-time analysis techniques for ROS~2 focus on applications written in C++ and do not address the unique execution models and challenges presented by Rust's asynchronous programming paradigm. In this paper, we a…

Thayer Munford Returns To Las Vegas Raiders OTAs After Missing Time https://raiderramble.com/2025/06/04/thayer-munford-returns-to-las-vegas-raiders-otas/

No time to train! Training-Free Reference-Based Instance Segmentation
Miguel Espinosa, Chenhongyi Yang, Linus Ericsson, Steven McDonagh, Elliot J. Crowley
https://arxiv.org/abs/2507.02798

No time to train! Training-Free Reference-Based Instance Segmentation
The performance of image segmentation models has historically been constrained by the high cost of collecting large-scale annotated data. The Segment Anything Model (SAM) alleviates this original problem through a promptable, semantics-agnostic, segmentation paradigm and yet still requires manual visual-prompts or complex domain-dependent prompt-generation rules to process a new image. Towards reducing this new burden, our work investigates the task of object segmentation when provided with, al…

From A-E, these are the all-time best Cowboys https://insidethestar.com/from-a-e-these-are-the-all-time-best-cowboys

Heat pumps are more effective when you leave your thermostat set at a constant desired temperature and leave your blower fan setting so that air is constantly circulating through the house. Setting lower temperatures at night will cause your unit to work harder to bring the temperature back up or down to a preferred setting. if you do reduce your temperature setting for a short period of time, like a vacation, then gradually work towards a normal setting one or two degrees at a time.

Verification of the Timing System for the X-ray Imaging and Spectroscopy Mission in the GPS Unsynchronized Mode
Megumi Shidatsu, Yukikatsu Terada, Takashi Kominato, So Kato, Ryohei Sato, Minami Sakama, Takumi Shioiri, Yugo Motogami, Yuuki Niida, Chulsoo Kang, Toshihiro Takagi, Taichi Nakamoto, Chikara Natsukari, Makoto S. Tashiro, Kenichi Toda, Hironori Maejima, Shin Watanabe, Ryo Iizuka, Rie Sato, Chris Baluta, Katsuhiro Hayashi, Tessei Yoshida, Shoji Ogawa, Yoshiaki Kanemaru, Kotaro Fukushima, Akio Hoshino, Hiromitsu Takahashi, Masayoshi Nobukawa, Tsunefumi Mizuno, Kazuhiro Nakazawa, Shinichiro Uno, Ken Ebisawa, Satoshi Eguchi, Satoru Katsuda, Aya Kubota, Naomi Ota, Atsushi Tanimoto, Yuichi Terashima, Yohko Tsuboi, Yuusuke Uchida, Hideki Uchiyama, Shigeo Yamauchi, Tomokage Yoneyama, Satoshi Yamada, Nagomi Uchida, Matt Holland, Michael Loewenstein, Tahir Yaqoob, Eric D. Miller, Robert S. Hill, Efrain C. Perez-Solis, Morgan D. Waddy, Mark Mekosh, Joseph B. Fox, Isabella S. Brewer, Emily Aldoretta, Koji Mukai, Kenji Hamaguchi, Francois Mernier, Anna Ogorzalek, Katja Pottschmidt, Mihoko Yukita
#toXiv_bot_toot

Dinner time is 30 minutes away. I hope he survives... :neocat_cry:

There should be a law that says a smart watch MUST at all times, regardless of anything, at some place on screen, show time.
It's beyond me that both Apple and Garmin don't follow this rule. I walk somewhere, right hand busy with holding something and this thing decides to show me some notification for the next 30 seconds.
Well fuck you watch! As the name suggests (Uhr, zegarek) your main job is to show time. Not AliExpress notification about my package leaving the tarif…

Stability characterization of impulsive linear switched systems
Yacine Chitour (L2S), Jamal Daafouz (IUF, CRAN), Ihab Haidar (ENSEA, QUARTZ), Paolo Mason (L2S), Mario Sigalotti (LJLL)
https://arxiv.org/abs/2507.02434

Stability characterization of impulsive linear switched systems
This paper addresses a class of impulsive systems defined by a mix of continuous-time and discrete-time switched linear dynamics. We first analyze a related class of weighted discrete time switched systems for which we establish two main stability results: a converse Lyapunov theorem and a Berger-Wang-type formula. These results are used to characterize the exponential stability of the considered class of systems via spectral and Lyapunov-based approaches, extending existing results in hybrid a…

Lies we tell ourselves to keep using #Golang
https://fasterthanli.me/articles/lies-we-tell-ourselves-to-keep-using-golang

This https://arxiv.org/abs/2409.05547 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Critical Dynamics of Random Surfaces: Time Evolution of Area and Genus
Conformal field theories with central charge $c\le1$ on random surfaces have been extensively studied in the past. Here, this discussion is extended from their equilibrium distribution to their critical dynamics. This is motivated by the conjecture that these models describe the time evolution of certain social networks that are self-driven to a critical point. This paper focuses on the dynamics of the overall area and the genus of the surface. The time evolution of the area is shown to follow …

TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models
Chetwin Low, Weimin Wang
https://arxiv.org/abs/2506.03099 …

TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models
In this paper, we present TalkingMachines -- an efficient framework that transforms pretrained video generation models into real-time, audio-driven character animators. TalkingMachines enables natural conversational experiences by integrating an audio large language model (LLM) with our video generation foundation model. Our primary contributions include: (1) We adapt a pretrained SOTA image-to-video DiT into an audio-driven avatar generation model of 18 billion parameters; (2) We enable infini…

Luminescence thermometry based on time gates: highly sensitive approach for real time sensing and imaging
M. Szymczak, D. Szymanski, M. Piasecki, M. Brik, L. Marciniak
https://arxiv.org/abs/2506.01978

Luminescence thermometry based on time gates: highly sensitive approach for real time sensing and imaging
Undoubtedly, one of the most significant advantages of luminescence thermometry is its ability to be used not only for spot temperature measurements but also for imaging temperature changes. Among the commonly proposed approaches, luminescence thermometry based on luminescence kinetics holds particular promise. However, most thermometric studies rely on the analysis of luminescence decay profiles, a method that significantly hinders, if not entirely precludes, real-time thermal imaging. In this…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Cyndi Lauper:
🎵 Time After Time
#CyndiLauper
https://funkastik.bandcamp.com/track/cyndi-lauper-time-after-time-2022-funkastik-remix
https://open.spotify.com/track/7o9uu2GDtVDr9nsR7ZRN73

Cowboys' Sam Williams nearly back at full speed after ACL tear -- just in time for a bigger role on defense

https://www.cbssports.com/nfl/news…

"May It Be Time"
- instrumental explorations -
#NowPlaying #MusicVideos
https://muz4n…

May It Be Time #NowPlaying
Stan Stewart - @muz4now

Google's New AI Tool Generates Convincing Deepfakes of Riots, Conflict, and Election Fraud (Time)
https://time.com/7290050/veo-3-google-misinformation-deepfake/
http://www.memeorandum.com/250603/p107#a250603p107

GOTO065054 593624 - an 8.5 mag amplitude dwarf nova identified in real time via Kilonova Seekers: #Kilonova Seekers - the GOTO project for real-time citizen science in time-domain astrophysics: https://academic.oup.com/mnras/article/533/2/2113/7735340?login=false -> A citizen science project has already identified 20 new astronomical discoveries: https://www.port.ac.uk/news-events-and-blogs/news/citizen-science-project-identifies-20-new-astronomical-discoveries

Efficient Model Checking for the Alternating-Time {\mu}-Calculus via Effectivity Frames
Daniel Hausmann, Merlin Humml, Simon Prucker, Lutz Schr\"oder
https://arxiv.org/abs/2506.01010

Efficient Model Checking for the Alternating-Time μ-Calculus via Effectivity Frames
The semantics of alternating-time temporal logic (ATL) and the more expressive alternating-time μ-calculus (AMC) is standardly given in terms of concurrent game frames (CGF). The information required to interpret AMC formulas is equivalently represented in terms of effectivity frames in the sense of Pauly; in many cases, this representation is more compact than the corresponding CGF, and in principle allows for faster evaluation of coalitional modalities. In the present work, we investigate wh…

I just wanna hang out with Esquie, the sweetest NPC of all time.

Judge preserves Education Department injunction over time extensions for states’ Covid fund spending | Courthouse News Service
https://www.courthousenews.com/judge-preserves-education-department-injunction-over-time-extensions-for-states-covid-fund-spending/

girls love being soft... soft real time

🇺🇦 Auf radioeins läuft...
Washed Out:
🎵 Time to walk away
#NowPlaying #WashedOut
https://washedout.bandcamp.com/track/time-to-walk-away
https://open.spotify.com/track/01AbB47Hm60LTIStyzMb2g

Time- and Polarization-Resolved Extreme Ultraviolet Momentum Microscopy
Sotirios Fragkos, Quentin Courtade, Olena Tkach, J\'er\^ome Gaudin, Dominique Descamps, Guillaume Barrette, St\'ephane Petit, Gerd Sch\"onhense, Yann Mairesse, Samuel Beaulieu
https://arxiv.org/abs/2507.02371

Time- and Polarization-Resolved Extreme Ultraviolet Momentum Microscopy
We report the development of an instrument combining an ultrafast, high-repetition-rate, polarization-tunable monochromatic extreme ultraviolet (XUV, 21.6 eV) beamline and a next-generation momentum microscope endstation. This setup enables time- and angle-resolved photoemission spectroscopy of quantum materials, offering multimodal photoemission dichroism capabilities. The momentum microscope simultaneously detects the full surface Brillouin zone over an extended binding energy range. It is eq…

Fluctuations in the number of local minima in discrete-time fractional Brownian motion
Maxim Dolgushev, Olivier B\'enichou
https://arxiv.org/abs/2506.04159

Fluctuations in the number of local minima in discrete-time fractional Brownian motion
The analysis of local minima in time series data and random landscapes is essential across numerous scientific disciplines, offering critical insights into system dynamics. Recently, Kundu, Majumdar, and Schehr derived the exact distribution of the number of local minima for a broad class of Markovian symmetric walks [Phys. Rev. E \textbf{110}, 024137 (2024)]; however, many real-world systems are non-Markovian, typically due to interactions with possibly hidden degrees of freedom. This work inv…

Popcorn time.

With so much hype and recent articles on "AI for coding" and how everyone not doing it is dumb maybe this is a good time to relink my article on "Vibe Coding".
Which I think focuses purely on "output" when developing or creating something is not just about the output.
https://tan…

This https://arxiv.org/abs/2408.01720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Stability and quasinormal modes for black holes with time-dependent scalar hair
We investigate black hole solutions with time-dependent (scalar) hair in scalar-tensor theories. Known exact solutions exist for such theories at the background level, where the metric takes on a standard GR form (e.g. Schwarzschild-de Sitter), but these solutions are generically plagued by instabilities. Recently, a new such solution was identified in arXiv:2310.11919, in which the time-dependent scalar background profile is qualitatively different from previous known exact solutions - specifi…

Constraining compact dark matter with time-varying quasar equivalent widths
Georgios Vernardos, James Hung Hsu Chan, Frederic Courbin
https://arxiv.org/abs/2507.02046

Constraining compact dark matter with time-varying quasar equivalent widths
One of the possible explanations for dark matter is that of compact dark objects of baryonic origin, such as black holes or even planets. Accumulating evidence, including the discovery of merging stellar mass black holes through gravitational waves, point to a population of such objects making up at least some fraction of dark matter. We revisit a historically heavily used probe, quasar spectra, from the new perspective of time variability and gravitational lensing. From a sample of 777 quasars…

DUST: A Duality-Based Pruning Method For Exact Multiple Change-Point Detection
Vincent Runge, Charles Truong, Simon Quern\'e
https://arxiv.org/abs/2507.02467

DUST: A Duality-Based Pruning Method For Exact Multiple Change-Point Detection
We tackle the challenge of detecting multiple change points in large time series by optimising a penalised likelihood derived from exponential family models. While dynamic programming algorithms can solve this task exactly with at most quadratic time complexity, recent years have seen the development of pruning strategies to improve their time efficiency. However, the two existing approaches have notable limitations: PELT struggles with pruning efficiency in sparse-change scenarios, while FPOP'…

Ugh, memes:
1) I’ve had that song stuck in my head all freaking WEEK. Every time I close my eyes, there’s *NSYNC
(which I spelled w*rong the first time)
2) I’m so glad the 4th of May was on a weekend this year.

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
Stephanie R. Merritt, Grigori Fedorets, Megan E. Schwamb, Samuel Cornwall, Pedro H. Bernardinelli, Mario Juric, Matthew J. Holman, Jacob A. Kurlander, Siegfried Eggl, Drew Oldag, Maxine West, Jeremy Kubica, Joseph Murtagh, R. Lynne Jones, Peter Yoachim, Ryan R. Lyttle, Michael S. P. Kelley, Joachim Moeyens, Kathleen Kiker, Shantanu P. Naidu, Colin Snodgrass, Shannon M. Matthews, Colin Orion Chandler

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
The upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory is expected to revolutionize solar system astronomy. Unprecedented in scale, this ten-year wide-field survey will collect billions of observations and discover a predicted $\sim$5 million new solar system objects. Like all astronomical surveys, its results will be affected by a complex system of intertwined detection biases. Survey simulators have long been used to forward-model the effects of these biases on a…

"This is how Lotus was born: as a company featuring unprecedented benefits for their employees, fostering a culture of radical diversity and inclusion, cleverly mixing dashes of 1960s counterculture with the latest 1980s technology.
Two major names stand out in the creation of this culture: first, Janet Axelrod, who passed away in 2021, and who brought her experience at Digital Equipment Corporation in the areas of diversity and inclusion. Second, Freada Kapor Klein."

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
Mohammad Fakhruddin Babar, Zain A. H. Hammadeh, Mohammad Hamad, Monowar Hasan
https://arxiv.org/abs/2506.01991

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
Leaking information about the execution behavior of critical real-time tasks may lead to serious consequences, including violations of temporal constraints and even severe failures. We study information leakage for a special class of real-time tasks that have two execution modes, namely, typical execution (which invokes the majority of times) and critical execution (to tackle exceptional conditions). The data flow-driven applications inherit such a multimode execution model. In this paper, we i…

This https://arxiv.org/abs/2505.10981 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
Recently, scaling test-time compute on Large Language Models (LLM) has garnered wide attention. However, there has been limited investigation of how various reasoning prompting strategies perform as scaling. In this paper, we focus on a standard and realistic scaling setting: majority voting. We systematically conduct experiments on 6 LLMs $\times$ 8 prompting strategies $\times$ 6 benchmarks. Experiment results consistently show that as the sampling time and computational overhead increase, co…

A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
Jonathan Fried, Santiago Paternain
https://arxiv.org/abs/2506.03982 https://

A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
In this work, we present a method for minimizing the time required for a redundant dual-arm robot to follow a desired relative Cartesian path at constant path speed by optimizing its joint trajectories, subject to position, velocity, and acceleration limits. The problem is reformulated as a bi-level optimization whose lower level is a convex, closed-form subproblem that maximizes path speed for a fixed trajectory, while the upper level updates the trajectory using a single-chain kinematic formu…

High order uniform in time schemes for weakly nonlinear Schr\"odinger equation and wave turbulence
Quentin Chauleur, Antoine Mouzard
https://arxiv.org/abs/2507.02662

High order uniform in time schemes for weakly nonlinear Schrödinger equation and wave turbulence
We introduce two multiscale numerical schemes for the time integration of weakly nonlinear Schrödinger equations, built upon the discretization of Picard iterates of the solution. These high-order schemes are designed to achieve high precision with respect to the small nonlinearity parameter under particular CFL condition. By exploiting the scattering properties of these schemes thanks to a low-frequency projected linear flow, we also establish its uniform accuracy over long time horizons. Num…

Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures
Savannah P. Hays, Lianrui Zuo, Anqi Feng, Yihao Liu, Blake E. Dewey, Jiachen Zhuo, Ellen M. Mowry, Scott D. Newsome Jerry L. Prince, Aaron Carass
https://arxiv.org/abs/2506.04173

Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures
Purpose: Visualization of subcortical gray matter is essential in neuroscience and clinical practice, particularly for disease understanding and surgical planning.While multi-inversion time (multi-TI) T$_1$-weighted (T$_1$-w) magnetic resonance (MR) imaging improves visualization, it is rarely acquired in clinical settings. Approach: We present SyMTIC (Synthetic Multi-TI Contrasts), a deep learning method that generates synthetic multi-TI images using routinely acquired T$_1$-w, T$_2$-weighted …

Time Crystal in the Nonlinear Phonon Mode of the Trapped Ions
Yi-Ling Zhan, Chun-Fu Liu, J. -T. Bu, K. -F Cui, S. -L. Su, L. -L. Yan, Gang Chen
https://arxiv.org/abs/2507.01528

Time Crystal in the Nonlinear Phonon Mode of the Trapped Ions
Time crystals constitute a novel phase of matter defined by the spontaneous breaking of time-translation symmetry. We present a scheme for realizing a continuous-time crystal using the vibrational phonon mode of a trapped-ion system. By coupling two addressable standing-wave lasers to individual ions via adiabatic elimination, we generate a nonlinear phonon mode with controllable linear gain ($g$) and nonlinear damping ($κ$). This scheme enables stable dissipative dynamics over timescales sign…

This https://arxiv.org/abs/2505.17370 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FRIREN: Beyond Trajectories -- A Spectral Lens on Time
Long-term time-series forecasting (LTSF) models are often presented as general-purpose solutions that can be applied across domains, implicitly assuming that all data is pointwise predictable. Using chaotic systems such as Lorenz-63 as a case study, we argue that geometric structure - not pointwise prediction - is the right abstraction for a dynamic-agnostic foundational model. Minimizing the Wasserstein-2 distance (W2), which captures geometric changes, and providing a spectral view of dynamic…

A Data-Driven Prescribed-Time Control Framework via Koopman Operator and Adaptive Backstepping
Yue Wu
https://arxiv.org/abs/2507.02549 https://

A Data-Driven Prescribed-Time Control Framework via Koopman Operator and Adaptive Backstepping
Achieving rapid and time-deterministic stabilization for complex systems characterized by strong nonlinearities and parametric uncertainties presents a significant challenge. Traditional model-based control relies on precise system models, whereas purely data-driven methods often lack formal stability guarantees, limiting their applicability in safety-critical systems. This paper proposes a novel control framework that synergistically integrates data-driven modeling with model-based control. Th…

Over the past year, long-time Bitcoin whales have been selling off their holdings, leading to a reshaping of the market as institutions increase their buying (Olga Kharif/Bloomberg)
https://www.bloomberg.com/news/articles/20

Operator-Theoretic Methods for Differential Games
Craig Bakker, Adam T. Rupe, Alexander Von Moll, Adam R. Gerlach
https://arxiv.org/abs/2507.02203 https://…

Operator-Theoretic Methods for Differential Games
Differential game theory offers an approach for modeling interactions between two or more agents that occur in continuous time. The goal of each agent is to optimize its objective cost functional. In this paper, we present two different methods, based on the Koopman Operator (KO), to solve a zero-sum differential game. The first approach uses the resolvent of the KO to calculate a continuous-time global feedback solution over the entire domain. The second approach uses a discrete-time, data-dri…

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
Han Huang, Tianyu Wang, Chaoda Peng, Tongli He, Zhifeng Hao
https://arxiv.org/abs/2507.02372

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
Multi-objective evolutionary algorithms (MOEAs) have become essential tools for solving multi-objective optimization problems (MOPs), making their running time analysis crucial for assessing algorithmic efficiency and guiding practical applications. While significant theoretical advances have been achieved for combinatorial optimization, existing studies for numerical optimization primarily rely on algorithmic or problem simplifications, limiting their applicability to real-world scenarios. To …

Love in the Time of Self-Deportation -- WHEN DIEGO WENT TO COURT IN TENNESSEE ... (Adrian Carrasquillo/The Bulwark)
https://www.thebulwark.com/p/love-in-the-time-of-self-deportation-part-one
http://www.memeorandum.com/250604/p114#a250604p114

I really like this approach
https://infosec.exchange/@masek/114624183034377452

When Blockchain Meets Crawlers: Real-time Market Analytics in Solana NFT Markets
Chengxin Shen, Zhongwen Li, Xiaoqi Li, Zongwei Li
https://arxiv.org/abs/2506.02892

When Blockchain Meets Crawlers: Real-time Market Analytics in Solana NFT Markets
In this paper, we design and implement a web crawler system based on the Solana blockchain for the automated collection and analysis of market data for popular non-fungible tokens (NFTs) on the chain. Firstly, the basic information and transaction data of popular NFTs on the Solana chain are collected using the Selenium tool. Secondly, the transaction records of the Magic Eden trading market are thoroughly analyzed by combining them with the Scrapy framework to examine the price fluctuations an…

Block triangular preconditioning for inverse source problems in time-space fractional diffusion equations
Monoswini Majumdar, Stefano Serra-Capizzano, Rosita L. Sormani
https://arxiv.org/abs/2507.02809

Block triangular preconditioning for inverse source problems in time-space fractional diffusion equations
The current work investigates the effectiveness of block triangular preconditioners in accelerating and stabilizing the numerical solution of inverse source problems governed by time-space fractional diffusion equations (TSFDEs). We focus on the recovery of an unknown spatial source function in a multi-dimensional TSFDE, incorporating Caputo time-fractional derivatives and the fractional Laplacian. The inherent ill-posedness is addressed via a quasi-boundary value regularization, followed by a …

This https://arxiv.org/abs/2506.01991 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
Leaking information about the execution behavior of critical real-time tasks may lead to serious consequences, including violations of temporal constraints and even severe failures. We study information leakage for a special class of real-time tasks that have two execution modes, namely, typical execution (which invokes the majority of times) and critical execution (to tackle exceptional conditions). The data flow-driven applications inherit such a multimode execution model. In this paper, we i…

Falcons' Bijan Robinson wants more explosive runs in 2025: 'It's time to get those 60 yards, 50 yards' https://www.nfl.com/news/falcons-bijan-robinson-wants-more-explosive-runs-saquon-barkley

This https://arxiv.org/abs/2505.17662 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs
Transformer-based models have shown strong performance across diverse time-series tasks, but their deployment on resource-constrained devices remains challenging due to high memory and computational demand. While prior work targeting Microcontroller Units (MCUs) has explored hardware-specific optimizations, such approaches are often task-specific and limited to 8-bit fixed-point precision. Field-Programmable Gate Arrays (FPGAs) offer greater flexibility, enabling fine-grained control over data …

A look at the ~$377 TranscribeGlass smart glasses that use AI to subtitle conversations in nearly real time, built for the deaf or hard-of-hearing (Boone Ashworth/Wired)
https://www.wired.com/story/these-translating-ai-glasses-put-subtitles-on-…

These Transcribing Eyeglasses Put Subtitles on the World
TranscribeGlass can subtitle conversations in nearly real time and will soon be able to translate languages and tell you when the person you’re talking to you is feeling socially awkward.

This https://arxiv.org/abs/2411.02006 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Foundations and Recent Trends in Multimodal Mobile Agents: A Survey
Mobile agents are essential for automating tasks in complex and dynamic mobile environments. As foundation models evolve, the demands for agents that can adapt in real-time and process multimodal data have grown. This survey provides a comprehensive review of mobile agent technologies, focusing on recent advancements that enhance real-time adaptability and multimodal interaction. Recent evaluation benchmarks have been developed better to capture the static and interactive environments of mobile…

This https://arxiv.org/abs/2412.20697 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

An inverse obstacle scattering problem with passive data in the time domain
This work considers a time domain inverse acoustic obstacle scattering problem due to passive data. Motivated by the Helmholtz-Kirchhoff identity in the frequency domain, we propose to relate the time domain measurement data in passive imaging to an approximate data set given by the subtraction of two scattered wave fields. We propose a time domain linear sampling method for the approximate data set and show how to tackle the measurement data in passive imaging. An imaging functional is built b…

Travis Hunter impresses on defense, Jaguars secondary coach requests more time with the two-way star

https://www.cbssports.com/nfl/news/travis-…

This https://arxiv.org/abs/2505.18570 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis
Stock price prediction remains a complex and high-stakes task in financial analysis, traditionally addressed using statistical models or, more recently, language models. In this work, we introduce VISTA (Vision-Language Inference for Stock Time-series Analysis), a novel, training-free framework that leverages Vision-Language Models (VLMs) for multi-modal stock forecasting. VISTA prompts a VLM with both textual representations of historical stock prices and their corresponding line charts to pre…

This https://arxiv.org/abs/2505.17155 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling
Large Reasoning Models (LRMs) demonstrate exceptional capability in tackling complex mathematical, logical, and coding tasks by leveraging extended Chain-of-Thought (CoT) reasoning. Test-time scaling methods, such as prolonging CoT with explicit token-level exploration, can push LRMs' accuracy boundaries, but they incur significant decoding overhead. A key inefficiency source is LRMs often generate redundant thinking CoTs, which demonstrate clear structured overthinking and underthinking patter…

Moments, Time-Inversion and Source Identification for the Heat Equation
Kang Liu, Enrique Zuazua
https://arxiv.org/abs/2507.02677 https://

Moments, Time-Inversion and Source Identification for the Heat Equation
We address the initial source identification problem for the heat equation, a notably ill-posed inverse problem characterized by exponential instability. Departing from classical Tikhonov regularization, we propose a novel approach based on moment analysis of the heat flow, transforming the problem into a more stable inverse moment formulation. By evolving the measured terminal time moments backward through their governing ODE system, we recover the moments of the initial distribution. We then …

Four-time Lions Pro Bowl C Frank Ragnow to retire after seven seasons in NFL https://www.nfl.com/news/four-time-lions-pro-bowl-c-frank-ragnow-to-retire-after-seven-seasons-in-nfl

This https://arxiv.org/abs/2505.24434 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields
Flow matching casts sample generation as learning a continuous-time velocity field that transports noise to data. Existing flow matching networks typically predict each point's velocity independently, considering only its location and time along its flow trajectory, and ignoring neighboring points. However, this pointwise approach may overlook correlations between points along the generation trajectory that could enhance velocity predictions, thereby improving downstream generation quality. To …