Tootfinder

Aaron Rodgers moves past former teammate Brett Favre with 509th career touchdown pass https://www.nfl.com/news/aaron-rodgers-moves-past-brett-favre-509-career-touchdown-pass

For the past three weeks, I’ve been attending protests at the Broadview ICE facility.
There’s been a vigil there for almost two decades at this point, but they started ramping up after three protesters were arrested four weeks ago.
Three weeks ago, we went, and it was very peaceful.
We ended up actually getting a car to turn around.
Last week, when we went, ICE assaulted a lot of us.
We went early because they changed their deportation time to around 6 a.m.

I’m a Congressional Candidate. I Was Assaulted by ICE.
An interview with Kat Abughazaleh, a 26-year-old Democratic House candidate in Illinois, who was violently thrown to the ground twice at a peaceful protest in Illinois on Friday morning.

The Nobel Peace Prize’s long tradition of tarnished choices
https://archive.ph/CrVdj
While this op-ed was obviously prompted by discussion that Trump wants one, it could have been written any time in the past few decades.
One could draft a list of things that Very Serious People Take Very Seriously …

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series
Juhi Soni, Markus Lange-Hegermann, Stefan Windmann
https://arxiv.org/abs/2508.11528

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series
We propose an unsupervised anomaly detection approach based on a physics-informed diffusion model for multivariate time series data. Over the past years, diffusion model has demonstrated its effectiveness in forecasting, imputation, generation, and anomaly detection in the time series domain. In this paper, we present a new approach for learning the physics-dependent temporal distribution of multivariate time series data using a weighted physics-informed loss during diffusion model training. A …

Forecasting Smog Events Using ConvLSTM: A Spatio-Temporal Approach for Aerosol Index Prediction in South Asia
Taimur Khan
https://arxiv.org/abs/2508.13891 https://

Forecasting Smog Events Using ConvLSTM: A Spatio-Temporal Approach for Aerosol Index Prediction in South Asia
The South Asian Smog refers to the recurring annual air pollution events marked by high contaminant levels, reduced visibility, and significant socio-economic impacts, primarily affecting the Indo-Gangetic Plains (IGP) from November to February. Over the past decade, increased air pollution sources such as crop residue burning, motor vehicles, and changing weather patterns have intensified these smog events. However, real-time forecasting systems for increased particulate matter concentrations …

Reinforcement learning entangling operations on spin qubits
Mohammad Abedi, Markus Schmitt
https://arxiv.org/abs/2508.14761 https://arxiv.org/pdf/2508.1476…

Reinforcement learning entangling operations on spin qubits
High-fidelity control of one- and two-qubit gates past the error correction threshold is an essential ingredient for scalable quantum computing. We present a reinforcement learning (RL) approach to find entangling protocols for semiconductor-based singlet-triplet qubits in a double quantum dot. Despite the presence of realistically modelled experimental constraints, such as various noise contributions and finite rise-time effects, we demonstrate that an RL agent can yield performative protocols…

Total crypto market value surpassed $4T for the first time, driven by altcoin rallies and US legislative momentum; Ether jumped 22% over the past five days (Sidhartha Shukla/Bloomberg)
https://www.bloomberg.com/news/articles/20

Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System
Yunhua Fang, Rui Xie, Asad Ul Haq, Linsen Ma, Kaoutar El Maghraoui, Naigang Wang, Meng Wang, Liu Liu, Tong Zhang
https://arxiv.org/abs/2508.13231

Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System
Large Language Model (LLM) inference is increasingly constrained by memory bandwidth, with frequent access to the key-value (KV) cache dominating data movement. While attention sparsity reduces some memory traffic, the relevance of past tokens varies over time, requiring the full KV cache to remain accessible and sustaining pressure on both bandwidth and capacity. With advances in interconnects such as NVLink and LPDDR5X, modern AI hardware now integrates high-bandwidth memory (HBM) with high-s…

A Screw Approach to the Approximation of the Local Geometry of the Configuration Space and of the set of Configurations of Certain Rank of Lower Pair Linkages
Andreas Mueller
https://arxiv.org/abs/2508.13802

A Screw Approach to the Approximation of the Local Geometry of the Configuration Space and of the set of Configurations of Certain Rank of Lower Pair Linkages
A motion of a mechanism is a curve in its configuration space (c-space). Singularities of the c-space are kinematic singularities of the mechanism. Any mobility analysis of a particular mechanism amounts to investigating the c-space geometry at a given configuration. A higher-order analysis is necessary to determine the finite mobility. To this end, past research lead to approaches using higher-order time derivatives of loop closure constraints assuming (implicitly) that all possible motions ar…

Time series analysis of coupled slow-fast neuron models: From Hurst exponent to Granger causality
Indranil Ghosh, Hammed O. Fatoyinbo, Sishu S. Muni
https://arxiv.org/abs/2507.13570

Time series analysis of coupled slow-fast neuron models: From Hurst exponent to Granger causality
We perform time series analysis of small networks where every node is the slow-fast version of the denatured Morris--Lecar neuron proposed by Schaeffer and Cain. We choose popular coupling strategies from the literature and provide a detailed account of how varying their strength drives the dynamics of the small networks. Algorithms for time series analysis range from measuring their persistence (ability to remember past values), irregularity, chaos and quasiperiodicity, to synchronization betw…

Gauge symmetry and the arrow of time: How to count what counts
Sean Gryb
https://arxiv.org/abs/2509.14720 https://arxiv.org/pdf/2509.14720

Gauge symmetry and the arrow of time: How to count what counts
This thesis addresses two major problems in the philosophy of physics. The first is how to identify the minimal physical content of a theory; that is, what features of a theory are truly needed to make predictions, and what can be removed without changing its empirical consequences. The second is the problem of time's arrow: why time seems to have a direction, even though the fundamental laws of physics treat the past and future symmetrically. I show that answering the first question leads to…

Higher-order, generically complete, continuous, and polynomial-time isometry invariants of periodic sets
Daniel E Widdowson, Vitaliy A Kurlin
https://arxiv.org/abs/2509.15088 ht…

Higher-order, generically complete, continuous, and polynomial-time isometry invariants of periodic sets
Periodic point sets model all solid crystalline materials (crystals) whose atoms can be considered zero-sized points with or without atomic types. This paper addresses the fundamental problem of checking whether claimed crystals are novel, not noisy perturbations of known materials obtained by unrealistic atomic replacements. Such near-duplicates have already skewed ground truth because past comparisons relied on discontinuous cells and symmetries. The proposed Lipschitz continuity under noise …

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun
https://arxiv.org/abs/2509.14181

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Representation learning techniques like contrastive learning have long been explored in time series forecasting, mirroring their success in computer vision and natural language processing. Yet recent state-of-the-art (SOTA) forecasters seldom adopt these representation approaches because they have shown little performance advantage. We challenge this view and demonstrate that explicit representation alignment can supply critical information that bridges the distributional gap between input hist…

@… This is exactly why I’ve laughed every time I’ve heard “But Mac’s are expensive!” For the past ~15 years.
A decent computer is expensive, regardless of which OS it runs.
It’s just that in the world of Windows, plenty of people are willing to sell you terrible hardware for a low cost.

Open Questions about Time and Self-reference in Living Systems
Samson Abramsky, Wolfgang Banzhaf, Leo S. D. Caves, Michael Levin, Penousal Machado, Charles Ofria, Susan Stepney, Roger White
https://arxiv.org/abs/2508.11423

Open Questions about Time and Self-reference in Living Systems
Living systems exhibit a range of fundamental characteristics: they are active, self-referential, self-modifying systems. This paper explores how these characteristics create challenges for conventional scientific approaches and why they require new theoretical and formal frameworks. We introduce a distinction between 'natural time', the continuing present of physical processes, and 'representational time', with its framework of past, present and future that emerges with life itself. Representa…

Pondering the Dolphins' 'good loss,' plus Clayton Kershaw's exit https://www.nytimes.com/athletic/6643194/2025/09/19/bills-dolphins-mike-mcdaniel-the-pulse/

Strange week…
For the past 2y, I’ve done automated log scanning to block miscreant IPs. For almost all of that time, I’ve mostly seen what I call “scanners” who connect to unassigned IPs which have listeners but no domains assigned to them. However, there’s also a set of “probers” who manage to offend the MTA enough to make it clear that they are not legit, e.g. credstuffers. Usually there are about 10 new scanners for every new prober. This week it reversed.

Winds Through Time: Interactive Data Visualization and Physicalization for Paleoclimate Communication
David Hunter, Pablo Botin, Emily Snode-Brenneman, Amy Stevermer, Becca Hatheway, Dillon Amaya, Eddie Goldstein, Wayne A Seltzer, Mark D Gross, Kris Karnauskas, Daniel Leithinger, Ellen Yi-Luen Do
https://arxiv.org/abs/2509.13039

Winds Through Time: Interactive Data Visualization and Physicalization for Paleoclimate Communication
We describe a multidisciplinary collaboration to iteratively design an interactive exhibit for a public science center on paleoclimate, the study of past climates. We created a data physicalisation of mountains and ice sheets that can be tangibly manipulated by visitors to interact with a wind simulation visualisation that demonstrates how the climate of North America differed dramatically between now and the peak of the last ice age. We detail the system for interaction and visualisation plus …

A geometric model of synthetic filtrations via context-dependent time
Takanori Adachi
https://arxiv.org/abs/2509.12919 https://arxiv.org/pdf/2509.12919

A geometric model of synthetic filtrations via context-dependent time
Classical filtrations in probability theory formalize the accumulation of information along a linear time axis: the past is unique and the present evolves into an uncertain future. In many contexts, however, information is neither linear nor uniquely determined by a single history. In this paper we propose a geometric model of synthetic filtrations, where the present may be formed by synthesizing multiple possible pasts. To achieve this, we introduce a new category Σ, an extension of the simpl…

For the first time in U.S. history, there are more Americans over 62 than under 18.
With the national workforce getting older every year, many economists argue that having people keep working longer than they used to would help maintain a robust labor market.
But it can be hard for many older adults to stay employed past the age of 62, the year they typically become eligible for early Social Security retirement benefits, even when their health is good.
In part, that’s becaus…

Trump administration ends a federal program helping older people get jobs since the 1960s
The White House left the program out of its proposed 2026 budget due to what it said was a failure at moving older workers into unsubsidized employment.

Probabilistic Model Checking: Applications and Trends
Marta Kwiatkowska, Gethin Norman, David Parker
https://arxiv.org/abs/2509.12968 https://arxiv.org/pdf…

Probabilistic Model Checking: Applications and Trends
Probabilistic model checking is an approach to the formal modelling and analysis of stochastic systems. Over the past twenty five years, the number of different formalisms and techniques developed in this field has grown considerably, as has the range of problems to which it has been applied. In this paper, we identify the main application domains in which probabilistic model checking has proved valuable and discuss how these have evolved over time. We summarise the key strands of the underlyin…

Great way to learn history.
#History #Education

Past Loves - A History Of The Greatest Love Stories
Podcast · Holly · Join our host Holly, with a range of guests from the world of heritage and academia, as we take a trip into the most gut-wrenching and heart-warming depths of history to explore affection, infatuation and attachment across time. As we ask, what is the best love story of all time?

Next up in our time-based media gallery: an installation of Inuk artist asinnajaq's film "Three Thousand," which combines archival footage from the National Film Board of Canada with new footage, sound and animation to focus on resilience and community in Inuit life. Read more: https:/…

literally every time i walk past this CD by zzzz in the @… library (the very last CD, alphabetically), i briefly think it's "the strange remain" by the other ones.

I’m in a strange mood today, Kind of down, but also relaxed at the same time. I’ve got really tired of all the social media noise these past few days, and I am consuming more than usual as I am off work, and working on my home computer, so I have more opportunity to see all the bullshit out there.

Quantile-based Fractional Generalized Cumulative Past Entropy
Poulami Paul, Chanchal Kundu
https://arxiv.org/abs/2509.09182 https://arxiv.org/pdf/2509.0918…

Quantile-based Fractional Generalized Cumulative Past Entropy
Uncertainty in past lifetime distributions and the timing of inactivity in systems and their components can be effectively measured using the fractional generalized cumulative past entropy (FGCPE) and its dynamic extension (DFGCPE), introduced by Di Crescenzo et al. (2021). Building on this framework, we propose a quantile-based variant, the quantile fractional generalized cumulative past entropy (QFGCPE), along with its dynamic time-dependent counterpart (DQFGCPE). Closed-form expressions of t…

Tim Cook:
“At Apple, design has always been fundamental to who we are and what we do…
…but it’s now time to leave the past behind us and try a fresh and new approach.”
/s

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Afrin Dange, Sunita Sarawagi
https://arxiv.org/abs/2509.13906 https://

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates
Time Series Foundation Models (TSFMs) have recently achieved state-of-the-art performance in univariate forecasting on new time series simply by conditioned on a brief history of past values. Their success demonstrates that large-scale pretraining across diverse domains can acquire the inductive bias to generalize from temporal patterns in a brief history. However, most TSFMs are unable to leverage covariates -- future-available exogenous variables critical for accurate forecasting in many appl…

Beyond Linearity and Time-homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
Martina Boschi, J\"urgen Lerner, Ernst C. Wit
https://arxiv.org/abs/2509.05289

Beyond Linearity and Time-homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
Recent technological advances have made it easier to collect large and complex networks of time-stamped relational events connecting two or more entities. Relational hyper-event models (RHEMs) aim to explain the dynamics of these events by modeling the event rate as a function of statistics based on past history and external information. However, despite the complexity of the data, most current RHEM approaches still rely on a linearity assumption to model this relationship. In this work, we a…

NFL Preseason Week 2 Game Recap: San Francisco 49ers 22, Las Vegas Raiders 19 https://www.pff.com/news/nfl-preseason-week-2-game-recap-san-francisco-49ers-22-las-vegas-raiders-19-2025

Memory Effects and Entanglement Dynamics of Finite time Acceleration
Nitesh K. Dubey, Sanved Kolekar
https://arxiv.org/abs/2508.07830 https://arxiv.org/pdf…

Memory Effects and Entanglement Dynamics of Finite time Acceleration
We construct a smooth trajectory in Minkowski spacetime that is inertial in the asymptotic past and future but undergoes approximately uniform acceleration for a finite duration. In a suitable limit, this trajectory reduces to the standard Rindler trajectory, reproducing the expected Bogoliubov transformations and results consistent with the thermal time hypothesis. We analyze the behavior of an Unruh-DeWitt (UDW) detector following such a trajectory and explore the dependence of complete posit…

It's Dream Cruise time again 🏁
Same detours as in years past. Downtown Pontiac service will be temporarily moved from the Phoenix Center up to Huron & Perry starting Friday at 6pm. 710 and 740 have local event reroutes. Woodward service will be on bypass all day Saturday.

"It is past time for both Jeffries and Schumer to step down and step aside. This fascist moment, this age of Trump, demands outspoken, unrelenting and fearless opposition. Whether you are a Democrat, or simply a democrat, we all deserve better."
https://www.theguardia…

After 15 full days in the new house, I think it's time to close off this year-long thread. Some closure on past commentary:
- for the 1st in our lives, we are debt free. Took us nearly 70 years, but we know how incredibly fortunate we are.
- we've dumped our net proceeds from #Downsizing into investments to make sure we aren't tempted to spend it foolishly.
- we kept some funds to fix some issues, including furnace & A/C, water filtration, electrical, eavestroughs, etc.
- my daughter and I are once again fighting galactic aliens online so you can rest easy.
- we've only been to the beach twice, for very short visits, as things have been hectic. Hopefully, we can enjoy that part of our neighborhood as we get into August.
Here is a short video of our 1st walk through just a few minutes before the movers arrived.
#Moving

Anyone having issues with Tor for the past few days?
It seems one of the Snowflake bridge is down (but should not impact obfs4):
https://gitlab.torproject.org/tpo/anti-censorship/pluggable-transports/snowflake/-/issues/40475…

I woke up at 3am, and while trying to get back to sleep thought about how there will be literally thousands of men loose in society who have done unspeakable things during the brutal and disgraceful conflicts in Ukraine and Gaza.
Some will be caught and tried for war crimes, but most won't. They'll walk past you on the street, have jobs.
It feels like a ticking time bomb.

Extension of generalized KYP lemma: from LTI systems to LPV systems
Jingjing Zhang, Jan Heiland, Peter Benner, Xin Du
https://arxiv.org/abs/2508.08579 https://

Extension of generalized KYP lemma: from LTI systems to LPV systems
The generalized Kalman-Yakubovich-Popov (gKYP) lemma, established by Iwasaki and Hara (2005 IEEE TAC), has served as a fundamental tool for finite-frequency analysis and synthesis of linear time-invariant (LTI) systems. Over the past two decades, efforts to extend the gKYP lemma from LTI systems to linear parameter varying (LPV) systems have been hindered by the intricate time-frequency inter-modulation effect between the input signal and the time-varying scheduling parameter. A key element in …

Hyperfixiation Joy, Stay if You Love It, Scroll if You Don’t!
Next year marks a decade since I first heard Loin d’ici by Zoë Straub. Ten years of the same song looping in my mind, ten years of clinging to every word, every note, as if it’s the only thing keeping me afloat. I remember May 14, 2016, like it’s a scar, the day my hyperfixation began. Time keeps slipping past me, but the song stays, haunting and comforting at once, as if Zoë herself is quietly following me through the endle…

Mario Kart 7: back online
With the help of the Pretendo network, I've managed to have a few games of this online over the past week or so, as well as doing some more time trials. The lobbies aren't full, but any stretch, but even when there's only three people in a race the catch up algorithms mean that it's fun to compete. On a couple of occasions there was one player who knew glitches on levels which meant they won easily, but they never stayed online for long.
…

This renowned climate scientist says this is the most difficult time for climate science he’s ever seen
https://www.fastcompany.com/91347103/this-

This renowned climate scientist says this is the most difficult time for climate science he’s ever seen
Benjamin Santer has faced pushback on climate research in the past. But this environment feels different ‘because it's so targeted.’

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Mengyuan Ma, Nhan Thanh Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku Juntti
https://arxiv.org/abs/2509.11419

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
Infrastructure-mounted sensors can capture rich environmental information to enhance communications and facilitate beamforming in millimeter-wave systems. This work presents an efficient sensing-assisted long-term beam tracking framework that selects optimal beams from a codebook for current and multiple future time slots. We first design a large attention-enhanced neural network (NN) to fully exploit past visual observations for beam tracking. A convolutional NN extracts compact image features…

I finally overseeded my lawn after a 7 year gap.
Letting things slip past you is cumulative and time accelerates.

😣 Effortful pastimes are perceived as more meaningful than those requiring minimal effort, study finds
https://medicalxpress.com/news/2025-08-effortful-pastimes-meaningful-requiring-minimal.html

Effortful pastimes are perceived as more meaningful than those requiring minimal effort, study finds
Past studies suggest that how people spend their time outside of work or academic endeavors can contribute to their overall well-being and life satisfaction. Yet how humans perceive different leisure activities that they engage in and the extent to which they feel that these activities contribute to their life's purpose has not yet been extensively investigated.

one time i was in this retirement community's pool, and i swam right past a visiting five year old girl who was just starting to learn. yet another transgender woman dominating biological females at sports 😔

Four Chinese carmakers enter Australian top 10 for first time, while Tesla sales slump https://www.theguardian.com/australia-news/2025/sep/03/chinese-car-makers-byd-gwm-chery-mg-australian-top-10-sales-tesla-…

So sad. The first #glacier I saw in 2018, during our honeymoon.
Indeed at a time they were telling us the glacier wasn’t really impacted by climate change, I had not truly understood why.
Such a majestic and unique place to visit.

Approximation of time-periodic flow past a translating body by flows in bounded domains
Thomas Eiter, Ana Leonor Silvestre
https://arxiv.org/abs/2507.23697 https://

Approximation of time-periodic flow past a translating body by flows in bounded domains
We consider a time-periodic incompressible three-dimensional Navier-Stokes flow past a translating rigid body. In the first part of the paper, we establish the existence and uniqueness of strong solutions in the exterior domain $Ω\subset {\mathbb R}^3$ that satisfy pointwise estimates for both the velocity and pressure. The fundamental solution of the time-periodic Oseen equations plays a central role in obtaining these estimates. The second part focuses on approximating this exterior flow wit…

Whelp, just spent the last few hours reviewing candidates for our boys' school board, and voting, and then did the same to prepare for the upcoming local elections... which, of course, shows how little one can really glean about a candiate's character from 2 minute videos... will have to investigate further: they mostly talk a good game, but it's hard to know how consequential they have been in past roles and are likely to be now. I fear few folks will make the time to do their d…

"We shall not cease from exploration and the end of all our exploring will be to arrive where we started and know the place for the first time." — T.S. Eliot
(No better way to summarize my own research of the past four months...)
#QuoteOfTheDay

3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
Narges Takhtkeshha, Lauris Bocaux, Lassi Ruoppa, Fabio Remondino, Gottfried Mandlburger, Antero Kukko, Juha Hyypp\"a
https://arxiv.org/abs/2507.08025

3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
Conservation and decision-making regarding forest resources necessitate regular forest inventory. Light detection and ranging (LiDAR) in laser scanning systems has gained significant attention over the past two decades as a remote and non-destructive solution to streamline the labor-intensive and time-consuming procedure of forest inventory. Advanced multispectral (MS) LiDAR systems simultaneously acquire three-dimensional (3D) spatial and spectral information across multiple wavelengths of the…

Our brains 🧠 are funny sometimes.. now that we own a black car for the first time (as of three weeks ago)… and now that I have driven it for 24 hours over the past week (up to Nova Scotia and back)….
… I am suddenly noticing how many black cars there are on the roads of New England and Atlantic Canada! 😃😮🤯
I had never really paid attention… but now I am seeing them everywhere!

Before and after of my latest bit of mending! An old towel rejuvenated at a smaller size!
I _could_ have just retired this one and used it as scraps to patch another one. But on the other hand, past-me put in some time and effort to add that loop for hanging it up, and I was thinking that if I could turn it back into a good towel, that'd eke out some more use of _that_ bit of work. So that's what I decided to do.
#sewing #mending

A paper recently published in a behavioral sciences journal describes a high school student’s hyperthymesia,
an extraordinary ability to retrieve autobiographical memories.
Teenager With Hyperthymesia Exhibits Extraordinary Mental Time Travel Abilities:
https://www.

Teenager with hyperthymesia exhibits extraordinary mental time travel abilities
Scientists in France have documented the case of a teenager with extraordinary autobiographical memory. She can vividly reexperience past events and imagine future ones in detail, highlighting a rare form of mental time travel and emotional memory organization.

false alarm, folx

Lucky enough to see some sunsets on the beach this past week. Every time we found plastic trash. One easy way to use less plastic? Foaming hand soap tablets. Just put in a tablet and refill your foaming hand soap dispenser with water. It's also cheaper. :) #lessplasticplease

In-orbit Spectral Calibration Prospects for the COSI Space Telescope
Aravind B. Valluvan, Steven E. Boggs, Savitri Gallego, Jarred Roberts, Gabriel Brewster, Sophia Haight, Carolyn Kierans, Sean Pike, Albert Y. Shih, John A. Tomsick, Andreas Zogaluer
https://arxiv.org/abs/2508.10172

In-orbit Spectral Calibration Prospects for the COSI Space Telescope
The Compton Spectrometer and Imager is an upcoming NASA space telescope in the MeV range. COSI's primary science goals include precisely mapping nuclear line and positron annihilation emission in the Milky Way galaxy through Compton imaging. This relies on our ability to maintain COSI's spectral performance over its mission lifetime. Changes to the detectors' gain characteristics over time will result in a non-linear stretching of the entire energy range. Moreover, observations from past MeV te…

@… Way past time for her to go.

The Gist: The Presidential Selection
A run past some of the people trying to get on the ballot for next month's presidential election.
Sample: "Billy Kelleher is what you would receive if you ordered the delivery of approximately two meters of extruded Fianna Fšil."
https://www.thegis…

The Gist: The Presidential Selection
The time is ticking down to pick the candidates to replace Michael D. This is the Gist.

You may think that our train didn't depart yet, even though it's past departure time and the it disappeared from the displays on the station. However, it just means you're using the wrong frame of reference. If you used the frame of the train departing next platform, you'd realize that our train is moving indeed.

"If I had a time machine to go back to the past, what would I want to tell my PhD self?" Four IMPRS alumns treated us to valuable insights into their individual career paths and life choices after the PhD. Thank you Jean, Argyrios, Nina and Krzysztof for joining us at the retreat and sharing your personal experiences with us! The current doctoral researchers in the school much appreciated the opportunity to connect with you.

"The overall life expectancy of a programming language has dwindled in the past 56 years. A COBOL developer in the 1960s most probably retired in the 2000s, still writing COBOL. As a former professional VBScript, then C#, then Objective-C, later Swift, and finally Go developer, I can only see this trend accelerating. We should expect our favorite programming language to be replaced and removed from the market in a relatively shorter time every decade."

Small-time asymptotics and the emergence of complex singularities for the KdV equation
Scott W. McCue, Christopher J. Lustri, Daniel J. VandenHeuvel, Jocelyn Zhang, John R. King, S. Jonathan Chapman
https://arxiv.org/abs/2509.07397

Small-time asymptotics and the emergence of complex singularities for the KdV equation
While real-valued solutions of the Korteweg--de Vries (KdV) equation have been studied extensively over the past 50 years, much less attention has been devoted to solution behaviour in the complex plane. Here we consider the analytic continuation of real solutions of KdV and investigate the role that complex-plane singularities play in early-time solutions on the real line. We apply techniques of exponential asymptotics to derive the small-time behaviour for dispersive waves that propagate in o…

Detection of Millimeter-Wavelength Flares from Two Accreting White Dwarf Systems in the SPT-3G Galactic Plane Survey
Y. Wan, J. D. Vieira, P. M. Chichura, T. J. Maccarone, A. J. Anderson, B. Ansarinejad, A. Anumarlapudi, M. Archipley, L. Balkenhol, P. S. Barry, K. Benabed, A. N. Bender, B. A. Benson, F. Bianchini, L. E. Bleem, F. R. Bouchet, L. Bryant, E. Camphuis, M. G. Campitiello, J. E. Carlstrom, C. L. Chang, P. Chaubal, A. Chokshi, T. -L. Chou, A. Coerver, T. M. Crawford, C. Daley…

Detection of Millimeter-Wavelength Flares from Two Accreting White Dwarf Systems in the SPT-3G Galactic Plane Survey
Blind discoveries of millimeter-wave (mm-wave) transient events in non-targeted surveys, as opposed to follow-up or pointed observations, have only become possible in the past decade using cosmic microwave background surveys. Here we present the first results from the SPT-3G Galactic Plane Survey -- the first dedicated high-sensitivity, wide-field, time-domain, mm-wave survey of the Galactic Plane, conducted with the South Pole Telescope (SPT) using the SPT-3G camera. The survey field covers ap…

When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts
Chengyuan Yao, Yunxuan Tang, Christopher Brooks, Rene F. Kizilcec, Renzhe Yu
https://arxiv.org/abs/2509.01060

When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution Shifts
Predictive models are typically trained on historical data to predict future outcomes. While it is commonly assumed that training on more historical data would improve model performance and robustness, data distribution shifts over time may undermine these benefits. This study examines how expanding historical data training windows under covariate shifts (changes in feature distributions) and concept shifts (changes in feature-outcome relationships) affects the performance and algorithmic fairn…

Evidence for an intrinsic luminosity-decay correlation in GRB radio afterglows
S. P. R. Shilling, S. R. Oates, D. A. Kann, J. Patel, J. L. Racusin, B. Cenko, R. Gupta, M. Smith, L. Rhodes, K. R. Hinds, M. Nicholl, A. Breeveld, M. Page, M. De Pasquale, B. Gompertz
https://arxiv.org/abs/2508.07276

Evidence for an intrinsic luminosity-decay correlation in GRB radio afterglows
We present the discovery of a correlation, in a sample of 16 gamma-ray burst 8.5 GHz radio afterglows, between the intrinsic luminosity measured at 10 days in the rest frame, $L_{\mathrm{Radio,10d}}$, and the average rate of decay past this time, $α_{>10d}$. The correlation has a Spearman's rank coefficient of $-0.70 \pm 0.13$ at a significance of $>3σ$ and a linear regression fit of $α_{>10d} = -0.29^{+0.19}_{-0.28} \log \left(L_{\mathrm{Radio,10d}} \right) + 8.12^{+8.86}_{-5.88}$. This fin…

Today's ride on Hampton Avenue was much better! I just need to time it right. Wait for the light to turn green, wait until all the cars go through, then bike after them. I only need a gap of a few minutes to get past the gnarly part of the road.
The other tricky part is crossing Mayfair on the Menomonee Parkway. I actually get off the bike and walk it across there. No signals, not even for pedestrians so it's a rough one.

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

Disentangling Boltzmann brains, the time-asymmetry of memory, the H theorem, and the second law
David Wolpert, Carlo Rovelli, Jordan Scharnhorst
https://arxiv.org/abs/2507.10959

Disentangling Boltzmann brains, the time-asymmetry of memory, the H theorem, and the second law
Are you, with your perceptions, memories and observational data, a Boltzmann brain, i.e., a statistical fluctuation out of the thermal equilibrium of the universe? Arguments are given in the literature for and against taking this hypothesis seriously. Complicating these analyses have been the many subtle - and very often implicit - entanglements between related arguments that have been given for the past hypothesis, the second law, and even Bayesian inference of the reliability of experimental …

Ravens RB Derrick Henry breaks tie with Hall of Famer Jim Brown, sits at No. 6 all time with 107 rushing TDs https://www.nfl.com/news/ravens-rb-derrick-henry-breaks-tie-with-hall-of-famer-jim-brown-sits-at-no-6-all…

You know, at any other time in the past 250 years the idea of the President of the United States hosting a prize fight at the White House would have raised a solid "What the fuck, is this real?" from the majority of us. But our collective heads are so busy spinning that this isn't even the most outrageous piece of news this week, or possibly even today, and we're all pretty much just like, meh.
This is not normal.

The only way in which I’ve wished Siri was “smarter” the past few years has nothing to do with LLMs:
I store my shopping list in Reminders, and my tasks in @….
Routinely I’ll say something like “Add milk to my shopping list” or “In OmniFocus, remind me to mow the lawn”and *most* of the time, it works flawlessly.
10% of the time, I try…

Braneworld Dark Energy in light of DESI DR2
Swagat S. Mishra, William L. Matthewson, Varun Sahni, Arman Shafieloo, Yuri Shtanov
https://arxiv.org/abs/2507.07193

Braneworld Dark Energy in light of DESI DR2
Recent observational results from the DESI collaboration reveal tensions with the standard $Λ$CDM model and favor a scenario in which dark energy (DE) decays over time. The DESI DR2 data also suggest that the DE equation of state (EoS) may have been phantom-like ($w < - 1$) in the past, evolving to $w > - 1$ at present, implying a recent crossing of the phantom divide at $w = - 1$. Scalar field models of DE naturally emerge in ultraviolet-complete theories such as string theory, which is typic…

Marketron Through the Looking Glass: From Equity Dynamics to Option Pricing in Incomplete Markets
Igor Halperin, Andrey Itkin
https://arxiv.org/abs/2508.09863 https://

Marketron Through the Looking Glass: From Equity Dynamics to Option Pricing in Incomplete Markets
The Marketron model, introduced by [Halperin, Itkin, 2025], describes price formation in inelastic markets as the nonlinear diffusion of a quasiparticle (the marketron) in a multidimensional space comprising the log-price $x$, a memory variable $y$ encoding past money flows, and unobservable return predictors $z$. While the original work calibrated the model to S\&P 500 time series data, this paper extends the framework to option markets - a fundamentally distinct challenge due to market incomp…

Two years ago voters in Colorado legalized therapeutic use of #psilocybin. The state took its time setting up protocols for licensing practitioners and therapists. A clinic opened up this past week here in town. They’ve got a 200 person waiting list for clients. You have to prove to them you’re not just looking for recreational use, mores the pity.

Echoes of the past: A unified perspective on fading memory and echo states
Juan-Pablo Ortega, Florian Rossmannek
https://arxiv.org/abs/2508.19145 https://a…

Echoes of the past: A unified perspective on fading memory and echo states
Recurrent neural networks (RNNs) have become increasingly popular in information processing tasks involving time series and temporal data. A fundamental property of RNNs is their ability to create reliable input/output responses, often linked to how the network handles its memory of the information it processed. Various notions have been proposed to conceptualize the behavior of memory in RNNs, including steady states, echo states, state forgetting, input forgetting, and fading memory. Although…

Continual Recommender Systems
Hyunsik Yoo, SeongKu Kang, Hanghang Tong
https://arxiv.org/abs/2507.03861 https://arxiv.org/pdf/2507.03…

Continual Recommender Systems
Modern recommender systems operate in uniquely dynamic settings: user interests, item pools, and popularity trends shift continuously, and models must adapt in real time without forgetting past preferences. While existing tutorials on continual or lifelong learning cover broad machine learning domains (e.g., vision and graphs), they do not address recommendation-specific demands-such as balancing stability and plasticity per user, handling cold-start items, and optimizing recommendation metrics…

Time-Dependent Cosmic Ray Halos from Bursty Star Formation and Active Galactic Nuclei: Semi-Analytic Formalism and Galaxy Formation Implications
Sam B. Ponnada
https://arxiv.org/abs/2509.02697

Time-Dependent Cosmic Ray Halos from Bursty Star Formation and Active Galactic Nuclei: Semi-Analytic Formalism and Galaxy Formation Implications
Cosmic ray (CR) feedback in galaxy evolution has seen a theoretical resurgence in the past decade, but significant uncertainties remain in CR transport through the interstellar and circum-galactic media (ISM and CGM). While several works indicate CR effects may be notable in both star-forming and quenched massive galaxies, modeling the vast CR transport parameter space currently allowed by observations is computationally restrictive to survey. Analytic treatments of CR feedback have provided us…

Role of Transient Dynamics in Dripping-Jetting Transition in Newtonian Fluids
Kishorkumar Sarva, Tejas G Murthy, Gaurav Tomar
https://arxiv.org/abs/2507.06800

Role of Transient Dynamics in Dripping-Jetting Transition in Newtonian Fluids
Dripping dynamics has been well studied over the past century and forms a classic example of chaotic system in physics. With an increase in the inlet flow rate, periodic droplet formation from a faucet becomes chaotic in terms of the droplet size and the length of the liquid column at the time of pinch-off. With a further increase in the flow rate, dripping regime transitions into jetting regime where the liquid column length is much longer than that observed in the dripping case. In general, d…

Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
Alokesh Manna, Sujit K. Ghosh
https://arxiv.org/abs/2508.10055

Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
We develop a Bayesian framework for variable selection in linear regression with autocorrelated errors, accommodating lagged covariates and autoregressive structures. This setting occurs in time series applications where responses depend on contemporaneous or past explanatory variables and persistent stochastic shocks, including financial modeling, hydrological forecasting, and meteorological applications requiring temporal dependency capture. Our methodology uses hierarchical Bayesian models w…

This is the second time I've gone to Stone Creek Coffee in the past week to find out that they closed 5 hours early.

Our #personalscience wiki got a lot of LLM-generated spam posts in the past days, so it's once again time to rotate the captcha questions.
How has some fun ideas for questions "AI" struggles with? I've already added questions about the number of "R" in blueberry & strawberry 😂
#citizenscience

3I/ATLAS: In Search of the Witnesses to Its Voyage
X. P\'erez-Couto, S. Torres, E. Villaver, A. J. Mustill, M. Manteiga
https://arxiv.org/abs/2509.07678 https://

3I/ATLAS: In Search of the Witnesses to Its Voyage
3I/ATLAS is the third interstellar object discovered to date, following 1I/'Oumuamua and 2I/Borisov. Its unusually high excess velocity and active cometary nature make it a key probe of the Galactic population of icy planetesimals. Understanding its origin requires tracing its past trajectory through the Galaxy and assessing the possible role of stellar encounters, both as a potential origin and a perturber to its orbit. We integrated the orbit of 3I/ATLAS backward in time for 10 Myr, together …

Decay character theory for partially dissipative hyperbolic systems of balance laws
Ling-Yun Shou, Jiang Xu, Ping Zhang
https://arxiv.org/abs/2507.11450 ht…

Decay character theory for partially dissipative hyperbolic systems of balance laws
The partially dissipative systems that characterize many physical phenomena were first pointed out by Godunov (1961), then investigated by Friedrichs-Lax (1971) who introduced the convex entropy, and later by Shizuta-Kawashima (1984,1985) who initiated a simple sufficient criterion ensuring the global existence of smooth solutions and their large-time asymptotics. There has been remarkable progress in the past several decades, through various different attempts. However, the decay character the…

Thinking it's past time for more national protests in the US, with actual demands, and thinking of putting together a website to pick a date, likely September 1 for rallies and 3 for first-show walk-outs.
Anyone know of other stuff already being planned besides the #50501 protests on Sept. 1? Haven't heard from #NoKings since their big event, which is not great.
Who else is ready to stop pretending we can continue life as usual while the world burns and our neighbors are abducted? (Respect to those who reached that point long ago.) Who else is waiting for dune kind of signal that now is the time to act?
#uspol #trump

Learning non-Markovian Dynamical Systems with Signature-based Encoders
Eliott Pradeleix, R\'emy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin
https://arxiv.org/abs/2509.12022

Learning non-Markovian Dynamical Systems with Signature-based Encoders
Neural ordinary differential equations offer an effective framework for modeling dynamical systems by learning a continuous-time vector field. However, they rely on the Markovian assumption - that future states depend only on the current state - which is often untrue in real-world scenarios where the dynamics may depend on the history of past states. This limitation becomes especially evident in settings involving the continuous control of complex systems with delays and memory effects. To capt…

This Raiders Defender Will Take the Next Step This Season https://www.si.com/nfl/raiders/las-vegas-chris-smith-maxx-crosby-devin-white-pete-carroll

Retrocausal capacity of a quantum channel
Kaiyuan Ji, Seth Lloyd, Mark M. Wilde
https://arxiv.org/abs/2509.08965 https://arxiv.org/pdf/2509.08965

Retrocausal capacity of a quantum channel
We study the capacity of a quantum channel for retrocausal communication, where messages are transmitted backward in time, from a sender in the future to a receiver in the past, through a noisy postselected closed timelike curve (P-CTC) represented by the channel. We completely characterize the one-shot retrocausal quantum and classical capacities of a quantum channel, and we show that the corresponding asymptotic capacities are equal to the average and sum, respectively, of the channel's max-i…

Does Overnight News Explain Overnight Returns?
Paul Glasserman, Kriste Krstovski, Paul Laliberte, Harry Mamaysky
https://arxiv.org/abs/2507.04481 https://

Does Overnight News Explain Overnight Returns?
Over the past 30 years, nearly all the gains in the U.S. stock market have been earned overnight, while average intraday returns have been negative or flat. We find that a large part of this effect can be explained through features of intraday and overnight news. Our analysis uses a collection of 2.4 million news articles. We apply a novel technique for supervised topic analysis that selects news topics based on their ability to explain contemporaneous market returns. We find that time variatio…

Some numpty has sprayed a St George's Cross on a white mini-roundabout in town. I hold my nose every time I go past. We've recently had a number of new families placed in the town - it became diverse literally over night and it's long long long overdue. It infuriates me to think that they might feel unwelcome because some arsehole overworks his brain cell and sprays symbols about. #ukpol…

Every time I listen to this, I’m dragged back into the shadows of every terrible choice I’ve made, haunted by the weight of my past mistakes, and yet, somehow, I’m still standing, scarred but alive, far from where I once was.
https://www.youtube.com/watch?v=2GaJS2MiXWU

On some properties of that strange component of Nature called "time"
Maurizio Gasperini
https://arxiv.org/abs/2506.18090 https://

On some properties of that strange component of Nature called "time"
Are time-travels possible? is the past still existing? and is the future already existing? We try to give an answer to these an other questions concerning the properties of time and the close connection (but deep physical difference) between time and space.

Raiders report: Former 1st-round pick hopes to add depth at safety https://www.reviewjournal.com/sports/raiders/raiders-report-former-1st-round-pick-hopes-to-add-depth-at-safety-3420885/

Something clearly is up with the
79-year-old president,
and the official explanations don’t make sense.
That’s not surprising given that Trump is a world historical liar surrounded by toadies who surrendered their shame long ago.
But it’s past time for reporters to ask some questions.
The mainstream press is still in self-flagellation mode over how they purportedly “ignored” former President Joe Biden’s decline.
(In reality, they never stopped talking ab…

Alert the media: The White House is lying about Trump's health
Their explanations are absurd and it's time to start asking questions.

Discrete-event Tensor Factorization: Learning a Smooth Embedding for Continuous Domains
Joey De Pauw, Bart Goethals
https://arxiv.org/abs/2508.04221 https://

Discrete-event Tensor Factorization: Learning a Smooth Embedding for Continuous Domains
Recommender systems learn from past user behavior to predict future user preferences. Intuitively, it has been established that the most recent interactions are more indicative of future preferences than older interactions. Many recommendation algorithms use this notion to either drop older interactions or to assign them a lower weight, so the model can focus on the more informative, recent information. However, very few approaches model the flow of time explicitly. This paper analyzes how ti…

Gallup: ~60% of 2,232 teachers at US K-12 public schools say they used AI tools in the past school year; regular users estimate weekly time savings of 5.9 hours (Jocelyn Gecker/Associated Press)
https://apnews.com/article/ai-chatgpt-teacher-c…

Tom Brady roasts Jets fans during Patriots statue ceremony https://www.nytimes.com/athletic/6543432/2025/08/09/tom-brady-patriots-statue-jets-roast/

A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
Anna Bonnet, St\'ephane Robin
https://arxiv.org/abs/2507.20153 https://

A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
Over the past few decades, the Hawkes process has become a popular framework for modeling temporal events thanks to its flexibility to capture different dependency structures. The objective of this work is to model call sequences emitted by bats for echolocation, whose patterns are known to change depending on the animal's activity. The novelty of the model lies in the combination of a Hawkes-type dependency from past events, as well as a latent variable that encodes changes in bat behavior. Mo…

SpaceX’s Starship megarocket successfully launched
after the launch had been scrubbed two times in as many days.
The success of this 10th flight showed the spacecraft had overcome its past failures
key to the Mars rocket’s reusable design.
The stainless steel behemoth,
403ft (123 meters) tall,
lifted Off from the company’s Starbase in southern Texas at 6.30pm local time (2330 GMT),
to loud cheers from engineering teams, a webcast showed.
This …

Can Derrick Henry run past seven Hall of Famers to reach top 10 all-time? https://www.espn.com/nfl/story/_/id/46087289/baltimore-ravens-rb-derrick-henry-hall-fame-rushing-top-10