Tootfinder

Spotify updates its AI policy, including adopting the upcoming DDEX standard to label and identify AI music and rolling out a new music spam filter (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-trac…

Spotify to label AI music, filter spam and more in AI policy change | TechCrunch
Spotify is launching a music spam filter, labeling AI tracks, and clarifying its rules around AI voice clones.

Spotify updates its AI policy, including adopting the upcoming DDEX standard to label and identify AI music and rolling out a new music spam filter (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/09/25/spotify-updates-ai-policy-to-label-trac…

Spotify to label AI music, filter spam and more in AI policy change | TechCrunch
Spotify is launching a music spam filter, labeling AI tracks, and clarifying its rules around AI voice clones.

today in "Rob Pike thinks you are literally too stupid and will personally make Go worse because of it" https://www.dolthub.com/blog/2024-12-20-collection-functions-in-go-1-23/

Tell me again how 'AI is going to revolutionise education' when roughly a quarter of primary schools globally don't even have electricity, toilets, drinking water, and basic WASH facilities.
It's 1925 in 2025 for 25% of schools in the world.
#Education #GlobalEducation

Any recommendations for a #FairPhone5 screen protector besides the official Fairphone ones (ideally made in UK since that's where I am)?
(I tried their privacy screen and it was not convenient when you want to show something to someone. The other option, "blue screen filter", I don't see the point of. They're also quite expensive.).

Reversible Kalman Filter for state estimation with Manifold
Svyatoslav Covanov, Cedric Pradalier
https://arxiv.org/abs/2509.18224 https://arxiv.org/pdf/250…

Two more # photos from our #Schwarzwald vacation. It was a #rainy day - but we had no problem with that as we came well prepared.
Also the advantage for photos are very saturated colors, misty scenes - and no people around 😄

Norms of partial sums operators for a basis with respect to a filter
V. Kadets, M. Manskova
https://arxiv.org/abs/2509.20002 https://arxiv.org/pdf/2509.200…

Norms of partial sums operators for a basis with respect to a filter
Basis of a Banach space with respect to a filter F on N (F-basis for short) is a generalization of basis, where the ordinary convergence of series is substituted by convergence of partial sums with respect to the filter F. We study the behavior of the norms of partial sums operators for an F-basis, depending on the filter and on the space. One of the central results is: The following properties of a sequence $(a_n)_{n \in N} \subset (1, \infty)$ are equivalent: (i) $\sum_{n \in N} a_n^{-1} …

I think I need to clarify some shit for (white) liberals.
How many times have you wondered if someone you're talking to in an informant sent to entrap you? How many times have you or a friend of yours been hit by a car, intentionally? How many friends have been hit, or almost hit? Ever been stabbed? Know anyone who has? Has the FBI ever knocked on a friend's door? Have police ever kicked down your door? Have you ever been arrested? Pepper sprayed? Does the sound or smell or blast balls give you flashbacks? Do you ever wonder what all the CS exposure is doing to your body? How many times have you been shot or shot at? Do you wonder every day if this is the day they'll come to kill you? Would anyone in your social circle answer these questions differently?
When you vote, you risk nothing (big asterisk, but if I'm talking to you then it doesn't apply to you). What you get out of voting is exactly what you put into it. Direct action is the same.
If you aren't worried about someone murdering you, then you probably aren't actually threatening the system. That's the difference between voting, and doing something useful. If they had to murder all the liberals in order to keep going, fascism would end. If they're only murdering radicals and marginalized people, then you're just like all the "good Germans" who hated Hitler but did essentially nothing.
It's already that bad for some people. How much are you willing to risk? How many people are you willing to sacrifice for your comfort? These are the questions we're all thinking about every time you tell us to vote.
(I'm tagging this #USPol so it's easy for folks to filter out if they're already well acquaintaned with the horror. I'm not CW, because USPol is just expected to be triggering.)

this is my favorite review ever

I've just popped that American brand of painkiller onto my "mute USpol" filter list and it's occurred to me that what the hell happened to the world that that is even a sentence I need to write.
Anyway good morning / TZAG and here's wishing everyone a great day.

Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
Hui Wang, Jinghui Qin, Wushao Wen, Qingling Li, Shanshan Zhong, Zhongzhan Huang
https://arxiv.org/abs/2509.20225

Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
Multimodal data has significantly advanced recommendation systems by integrating diverse information sources to model user preferences and item characteristics. However, these systems often struggle with redundant and irrelevant information, which can degrade performance. Most existing methods either fuse multimodal information directly or use rigid architectural separation for disentanglement, failing to adequately filter noise and model the complex interplay between modalities. To address the…

Microbes form living electrical networks to filter methane from ocean floor, scientists discover
https://phys.org/news/2025-08-microbes-electrical-networks-filter-methane.html#google_vignette

I wonder why #Mastodon #Apps filters with these settings also apply to #Notifications, even though they are explicitly not supposed to?
The web UI filters the notifications correctly. I.e. only if th…

What a $10M bribe rumor says about Trump, Middle East peace, and America’s fall
The thing about being a 79-year-old president is that sometimes you just blurt stuff out, with no filter as to whether your words might be embarrassing, undiplomatic — or potentially incriminating.
Consider the case of Donald John Trump, the 47th U.S. president and the oldest one on the day of his election. Last week, in what may prove to be a fleeting moment of triumph as Trump celebrated a Gaza peac…

Did a $10M bribe break the soul of America? | Will Bunch Newsletter
Plus, an inside look at who really went to “No Kings.”

Continuing to experiment with plotting the #fork network of #QEMU for my talk at #kvmforum2025. I need to figure out a way to filter out normal developer forks from the rest.

PRIMAger General Observer programs: a {\Large $\pi$}-sr Infrared Survey and other General Observer wide-field programs
Denis Burgarella, Matthieu Bethermin, Alessandro Boselli, James Donnelan, Charles Darren Dowell, Guilaine Lagache, Seb Oliver, Herve Dole
https://arxiv.org/abs/2509.17646

PRIMAger General Observer programs: a {\Large $π$}-sr Infrared Survey and other General Observer wide-field programs
The PRobe far-Infrared Mission for Astrophysics (PRIMA) is a cryogenically-cooled, far-infrared (far-IR) observatory expected to begin serving the astronomical community by early 2030. The mission features two advanced instruments: PRIMAger and FIRESS. PRIMAger will operate across the mid- to far-IR spectrum, covering wavelengths from approximately 25 to 260 $μ$m. It will offer hyperspectral imaging in medium resolution bands (R $\sim$ 8, using a linear variable filter) from 25 to 80 $μ$m, an…

Improved Mapping Between Illuminations and Sensors for RAW Images
Abhijith Punnappurath, Luxi Zhao, Hoang Le, Abdelrahman Abdelhamed, SaiKiran Kumar Tedla, Michael S. Brown
https://arxiv.org/abs/2508.14730

Improved Mapping Between Illuminations and Sensors for RAW Images
RAW images are unprocessed camera sensor output with sensor-specific RGB values based on the sensor's color filter spectral sensitivities. RAW images also incur strong color casts due to the sensor's response to the spectral properties of scene illumination. The sensor- and illumination-specific nature of RAW images makes it challenging to capture RAW datasets for deep learning methods, as scenes need to be captured for each sensor and under a wide range of illumination. Methods for illuminatio…

i dont want social media or the internet in general to be a "safe space" cuz thats inherently fried. i browse it for an adventure! to find some new cool shit!! if i want safety i message friends and take walks in the moonlight, real shit without doomscrolling and the usuals everyone hates. i still want some way to filter chuds and their pet edges cuz they're somehow even more cookie cutter and repetitive than the compsci transbians, but in general im alright with laissez-faire …

Robust, Online, and Adaptive Decentralized Gaussian Processes
Fernando Llorente, Daniel Waxman, Sanket Jantre, Nathan M. Urban, Susan E. Minkoff
https://arxiv.org/abs/2509.18011

Robust, Online, and Adaptive Decentralized Gaussian Processes
Gaussian processes (GPs) offer a flexible, uncertainty-aware framework for modeling complex signals, but scale cubically with data, assume static targets, and are brittle to outliers, limiting their applicability in large-scale problems with dynamic and noisy environments. Recent work introduced decentralized random Fourier feature Gaussian processes (DRFGP), an online and distributed algorithm that casts GPs in an information-filter form, enabling exact sequential inference and fully distribut…

A brilliant feature in Mastodon to be able to filter away keywords.
I see you all next week w/r to certain outages. A bit tiring to have a flood of messages repeating basically two things: there's an outage and i didn't know Signal's servers were in the US.
Back to interesting content!

The rain has topped up the pool pond! 🙏 🌧️
It is overflowing at the overflow and only at the overflow, that I can tell :). I powered the pump up from its 40% (34W) to 75% (120W) to get things moving in the filter while we have the rain.
I might as well use it to allow it to clean the gunk out of the system naturally!
Still feels like I got rushed into filling it, but it is really satisfying nonetheless to see it functioning as designed in my head! lol
#poolpond #diy #backyardproject

Inquiry: Is there a way on the GitHub PR list to see "this issue has commits since you last looked at it"? Or some other indication of "I should look at this issue again"?
Similarly, filter out Draft PRs? Trying to get a list of just "things I should look at."
(Asking for a colleague.)
#GitHub

Spatial Encoding of Flow Spaces for Intelligent SDN Applications
Abdur Rouf, Murat Yuksel
https://arxiv.org/abs/2509.16485 https://arxiv.org/pdf/2509.16485…

Spatial Encoding of Flow Spaces for Intelligent SDN Applications
Efficient encoding of network flow spaces while preserving spatial locality is essential for intelligent Software-Defined Networking (SDN) applications, particularly those employing reinforcement learning (RL) methods in a reactive manner. In this work, we introduce a spatially aware Bloom Filter-based approach to encode IP flow pairs, leveraging their inherent geographical locality. Through controlled experiments using IoT traffic data, we demonstrate that Bloom Filters effectively preserve sp…

I Built a Bloom Filter Data Structure Simulator
https://coffeebytes.dev/en/databases/i-built-a-bloom-filter-data-structure-simulator/

In orbit operation of Resolve Filter Wheel and MXS
Russell F. Shipman, Shunji Kitamoto, Rob Wolfs, Elisa Costantini, Megan E. Eckart, Carlo Ferrigno, Ludovic Genolet, Nathalie Gorter, Martin Grim, Jan Willem den Herder, Caroline A. Kilbourne, Maurice A. Leutenegger, Erik van der Meer, Misaki Mizumoto, F. Scott Porter, St\'ephane Paltani, Makoto Sawada, Simon Strotmann, Masahiro Tsujimoto, Cor P. de Vries

In orbit operation of Resolve Filter Wheel and MXS
The Resolve soft X-ray spectrometer is the high spectral resolution microcalorimeter spectrometer for the XRISM mission. In the beam of Resolve there is a filter wheel containing \xray{} filters. In the beam also is an active calibration source (the modulated X-ray source (MXS) that can provide pulsed \xray s to facilitate gain calibration. The filter wheel consists of six filter positions. Two open positions, one $^{55}$Fe source to aid in spectrometer characterization during the commissioni…

Consistent Pose Estimation of Unmanned Ground Vehicles through Terrain-Aided Multi-Sensor Fusion on Geometric Manifolds
Alexander Raab, Stephan Weiss, Alessandro Fornasier, Christian Brommer, Abdalrahman Ibrahim
https://arxiv.org/abs/2508.14661

Consistent Pose Estimation of Unmanned Ground Vehicles through Terrain-Aided Multi-Sensor Fusion on Geometric Manifolds
Aiming to enhance the consistency and thus long-term accuracy of Extended Kalman Filters for terrestrial vehicle localization, this paper introduces the Manifold Error State Extended Kalman Filter (M-ESEKF). By representing the robot's pose in a space with reduced dimensionality, the approach ensures feasible estimates on generic smooth surfaces, without introducing artificial constraints or simplifications that may degrade a filter's performance. The accompanying measurement models are compati…

I think the view from 10,000 feet for me is that all tech tries to interpose itself between two human beings and then extract value. Whether it's Uber, Airbnb, social media or Vision Pro/smart glasses and now earbuds.
Once a tech company is the filter through which we sense the world it's a next level amount of power that they will have over us.
The next thing will be that Apple thinks they deserve a 30% cut of that sale that you made with the local merchant.

Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.

Google Fi plans an AI call quality feature to filter out background sounds like wind next month, and will bring full RCS support on the web in December (Ryan Whitwam/Ars Technica)
https://arstechnica.com/gadgets/2025/10/google-…

Google Fi is getting enhanced web calls and messaging, AI bill summaries
Google’s MVNO gets better web support, clearer audio, and yes, more AI.

A curse on all those who generate JSON data with subfielded keys.
...I'm looking at you Dell PERC, with all your "Drive /c0/e32/s9 - Detailed Information" nonsense. - I KNOW what the device attachment is (I GAVE you that on the command line), what I want is CONSISTENT key names I can use JQ to filter on (This key should be "Drive Detailed Information" - or something even LESS of a mouthful).

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
Qiqian Zhang, Zhou Fan, Gang Zhao, Ying Wu, Wei Wang, Kai Xiao, Hongrui Gu, Jie Zheng, Jingkun Zhao, Chun Li, Yuqin Chen, Haibo Yuan, Haining Li, Kefeng Tan, Yihan Song, Ali Luo, Nan Song, Yujuan Liu, Yaqian Wu
https://…

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
Reliable estimation of stellar surface gravity (log $g$) for a large sample is crucial for evaluating stellar evolution models and understanding galactic structure; However, it is not easy to accomplish due to the difficulty in gathering a large spectroscopic data set. Photometric sky survey using a specific filter, on the other hand, can play a substantial role in the assessment of log $g$. The Stellar Abundances and Galactic Evolution Survey (SAGES) utilizes eight filters to provide accurate …

Hey all, there are some photos from a hike in the #schwarzwald
Actually we thought that it would just take us less than an hour - but it wasn't simply a straight walk :-D
It was raining from time to time - which was indeed pretty cool. A) there was noone around except us and B) the colors were often just insane. Fully saturated green, the brown from the wood - and sometimes…

The Bayesian SIAC filter
Jan Glaubitz, Tongtong Li, Jennifer Ryan, Roman Stuhlmacher
https://arxiv.org/abs/2509.14771 https://arxiv.org/pdf/2509.14771

The Bayesian SIAC filter
We propose the Bayesian smoothness-increasing accuracy-conserving (SIAC) filter -- a hierarchical Bayesian extension of the existing deterministic SIAC filter. The SIAC filter is a powerful numerical tool for removing high-frequency noise from data or numerical solutions without degrading accuracy. However, current SIAC methodology is limited to (i) nodal data (direct, typically noisy function values) and (ii) deterministic point estimates that do not account for uncertainty propagation from in…

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Guirui Zhong, Qing Wang, Jun Du, Lei Wang, Mingqi Cai, Xin Fang
https://arxiv.org/abs/2508.15334

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Anomalous Sound Detection (ASD) aims at identifying anomalous sounds from machines and has gained extensive research interests from both academia and industry. However, the uncertainty of anomaly location and much redundant information such as noise in machine sounds hinder the improvement of ASD system performance. This paper proposes a novel audio feature of filter banks with evenly distributed intervals, ensuring equal attention to all frequency ranges in the audio, which enhances the detect…

The Filter Echo: A General Tool for Filter Visualisation
Daniel Gaa, Joachim Weickert, Iva Farag, \"Ozg\"un \c{C}i\c{c}ek
https://arxiv.org/abs/2509.11932 https://

The Filter Echo: A General Tool for Filter Visualisation
To select suitable filters for a task or to improve existing filters, a deep understanding of their inner workings is vital. Diffusion echoes, which are space-adaptive impulse responses, are useful to visualise the effect of nonlinear diffusion filters. However, they have received little attention in the literature. There may be two reasons for this: Firstly, the concept was introduced specifically for diffusion filters, which might appear too limited. Secondly, diffusion echoes have large stor…

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
Weijiang Lai, Beihong Jin, Yapeng Zhang, Yiyuan Zheng, Rui Zhao, Jian Dong, Jun Lei, Xingxing Wang
https://arxiv.org/abs/2508.15311

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
CTR (Click-Through Rate) prediction, crucial for recommender systems and online advertising, etc., has been confirmed to benefit from modeling long-term user behaviors. Nonetheless, the vast number of behaviors and complexity of noise interference pose challenges to prediction efficiency and effectiveness. Recent solutions have evolved from single-stage models to two-stage models. However, current two-stage models often filter out significant information, resulting in an inability to capture di…

According to PubMed, scientific interest in visual prostheses is waning https://pubmed.ncbi.nlm.nih.gov/?term="visual prosthesis"&filter=years.1995-2025&sort=date&timeline=expanded

* Search keywords in the Address Field: use tags like @.tabs, @.bookmarks, @.history to quickly filter.
* Upgraded ad-blocker: new popup-rules to stop annoying windows/tabs, while letting legit behaviors through.
* Swipe gestures on Windows: trackpad/touch swipes for back/forward.
* Better performance for “hibernated” tabs: waking them up faster.

"Green Roofs Filter Microplastic From Urban Rainfall, Study Finds"
#Plastic #Plastics #Microplastics

Green Roofs Filter Microplastic From Urban Rainfall, Study Finds | Happy Eco News
Green roofs filter microplastic from urban rainwater by capturing up to 97.5% of plastic particles during rainfall, according to a new study. Most particles stay in the soil, helping reduce pollution in city waterways. While challenges remain, this adds another reason to expand green roof infrastructure in urban areas.

Did you know that the Learning With AI toolkit has a speakers bureau for AI and education? Filter for expertise like "agents administration" or "data bias," then click on presenters to watch recordings that demonstrate their presentation styles.
Have a speaker to recommend who's not on the list? DM me and I'll send you a form to submit a name, specialty, and recording of any events for consideration.

@… Why is she using that stupid filter? Her eyes look creepy and ridiculous. Even though I agree with her, I think she harms the cause she attempts to promote by trying to look like a cartoon figure.

Today, a customer lost some changes due to git stach drop. This meant that they were no longer accessible with git reflog. As a last resort, git fsck came to our rescue: https://www.python4data.science/en/latest/productive/git/review.html#fsck

Review
log: Filter and sort:$ git log [-n COUNT], lists the commit history of the current branch.--n, limits the number of commits to the specified number.,.,,$ git log [--after=" YYYY-MM-DD"] [...

Had to move my laser cutter to my garage where ventilation isn’t that great vs previous location.
Like air leaves the garage but there are houses around wouldn’t want to vent smoke out.
Wanted to test a Xiaomi hepa filter pre filter 600 cfm fan setup but was kind of not hopeful it would work.
Wow, zero smoke at all. Can just about smell some smoke smell (laser enclosure isn’t air tight).
Waiting for a proper VOC counter to come but so far impressed and I can u…

I had an air filter attached to the rear of my #Kombi, and then I realized that I couldn't shift. One of the cords that I had used to secure the hepa filter was on the derailleur. It was an easy thing to fix, but it reminded me just how much I hate derailleurs (and any kind of external gears in general).

Distributed Multiple Fault Detection and Estimation in DC Microgrids with Unknown Power Loads
Jingwei Dong, Mahdieh S. Sadabadi, Per Mattsson, Andr\'e Teixeira
https://arxiv.org/abs/2508.14675

Distributed Multiple Fault Detection and Estimation in DC Microgrids with Unknown Power Loads
This paper proposes a distributed diagnosis scheme to detect and estimate actuator and power line faults in DC microgrids subject to unknown power loads and stochastic noise. To address actuator faults, we design a fault estimation filter whose parameters are determined through a tractable optimization problem to achieve fault estimation, decoupling from power line faults, and robustness against noise. In contrast, the estimation of power line faults poses greater challenges due to the inherent…

We hereby announce the discontinuation of our e-mail newsletter, as the service we have been using until now is unable to filter out the proliferation of spam accounts. We apologize for the inconvenience, but this is why we cannot have nice things.
Subscribers will receive the last edition tomorrow as usual, but there won't be any other editions in the future. You are welcome to subscribe to our RSS feed instead.

Filter Quotient Model Structures
Nima Rasekh
https://arxiv.org/abs/2508.07735 https://arxiv.org/pdf/2508.07735

Filter Quotient Model Structures
The filter quotient construction is a particular instance of a filtered colimit of categories. It has primarily been considered in the context of categorical logic, where it has been used effectively to construct non-trivial models, for example new models of set theory. In this work we prove that given a model category and a suitable notion of filter of subterminal objects, the filter quotient construction will preserve the model structure. We also show that this new model structure inherits …

This is the manifold typt thing that I am currently roughing together for the 2nd pump from the main pond.
The through pipe will go to the filter and the two offshoots will go to the bottom returns and side sorayers which are both meant to keep the water in the pond moving toward the pump bay and discourage settling on the bottom
#poolpond #diy #backyardproject

Lagrangian Simulation Volume-Based Contour Tree Simplification
Domantas Dilys, Hamish Carr, Steven Boeing
https://arxiv.org/abs/2508.14339 https://arxiv.or…

Lagrangian Simulation Volume-Based Contour Tree Simplification
Many scientific and engineering problems are modelled by simulating scalar fields defined either on space-filling meshes (Eulerian) or as particles (Lagrangian). For analysis and visualization, topological primitives such as contour trees can be used, but these often need simplification to filter out small-scale features. For parcel-based convective cloud simulations, simplification of the contour tree requires a volumetric measure rather than persistence. Unlike for cubic meshes, volume cannot…

Tell Me About It
Welcome to Tell Me About It: the no-filter podcast for real people building real businesses...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/tell-me-about-it/

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Iftekhar Ahmed, Tanzil Ebad Chowdhury, Biggo Bushon Routh, Nafisa Tasmiya, Shadman Sakib, Adil Ahmed Chowdhury
https://arxiv.org/abs/2510.09493

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Kidneys are the filter of the human body. About 10% of the global population is thought to be affected by Chronic Kidney Disease (CKD), which causes kidney function to decline. To protect in danger patients from additional kidney damage, effective risk evaluation of CKD and appropriate CKD monitoring are crucial. Due to quick and precise detection capabilities, Machine Learning models can help practitioners accomplish this goal efficiently; therefore, an enormous number of diagnosis systems and…

Rec-RIR: Monaural Blind Room Impulse Response Identification via DNN-based Reverberant Speech Reconstruction in STFT Domain
Pengyu Wang, Xiaofei Li
https://arxiv.org/abs/2509.15628

Rec-RIR: Monaural Blind Room Impulse Response Identification via DNN-based Reverberant Speech Reconstruction in STFT Domain
Room impulse response (RIR) characterizes the complete propagation process of sound in an enclosed space. This paper presents Rec-RIR for monaural blind RIR identification. Rec-RIR is developed based on the convolutive transfer function (CTF) approximation, which models reverberation effect within narrow-band filter banks in the short-time Fourier transform (STFT) domain. Specifically, we propose a deep neural network (DNN) with cross-band and narrow-band blocks to estimate the CTF filter. The …

A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equations with Source Terms
Andrea Arnold
https://arxiv.org/abs/2508.12155 https://

A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equations with Source Terms
Many real-world systems modeled using partial differential equations (PDEs) involve unknown parameters that must be estimated from limited, noisy system observations. While typically assumed to be constants, some of these unobserved parameters may vary with time. This work proposes a two-phase, offline-online numerical procedure for systematically estimating and quantifying uncertainty in time-varying parameters (TVPs) in time-dependent PDEs, specifically focusing on advection-diffusion models …

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
Jinhwa Kim, Ian G. Harris
https://arxiv.org/abs/2508.10031 https://

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
While Large Language Models (LLMs) have shown significant advancements in performance, various jailbreak attacks have posed growing safety and ethical risks. Malicious users often exploit adversarial context to deceive LLMs, prompting them to generate responses to harmful queries. In this study, we propose a new defense mechanism called Context Filtering model, an input pre-processing method designed to filter out untrustworthy and unreliable context while identifying the primary prompts contai…

Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation
Taos Transue, Bohan Chen, So Takao, Bao Wang
https://arxiv.org/abs/2508.13313 https://

Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation
Data assimilation (DA) is the problem of sequentially estimating the state of a dynamical system from noisy observations. Recent advances in generative modeling have inspired new approaches to DA in high-dimensional nonlinear settings, especially the ensemble score filter (EnSF). However, these come at a significant computational burden due to slow sampling. In this paper, we introduce a new filtering framework based on flow matching (FM) -- called the ensemble flow filter (EnFF) -- to accelera…

It feels like the world doesn't want me to have a way to cleanly filter YouTube lmao the owner of the deTube userscript straight up deleted it the other day, no one had submitted any issues and it seemed like things were going mostly smooth. Come the fuck on man.

Investigating the Performance of EKF, UKF, and PF for Quadrotor Position Estimation in Hurricane Wind Disturbances
Ahmed A. Elgohary, Benjamin Gwinnell, Josh Augustine
https://arxiv.org/abs/2509.13243 …

Investigating the Performance of EKF, UKF, and PF for Quadrotor Position Estimation in Hurricane Wind Disturbances
Natural disasters, such as hurricanes and typhoons, pose significant challenges to public safety and infrastructure. While government agencies rely on multi million dollar UAV systems for storm data collection and disaster response, smaller drones lack the ability to autonomously adapt to rapidly changing environmental conditions, such as turbulent winds. This project investigates the implementation of advanced state estimation filters, Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF…

Langtauferer
Today, a year ago, I ventured on a dream trip I'd been researching for a long time, and which ended up being a semi-religious experience, being immersed in (and somewhat overwhelmed by) an actively changing environment, the upheaval and plethora of geological features, structures, unreal colors, layers, textures and the "wounds" exposed by the melting and disappearing glaciers... Countless waterfalls, stunning erosion features, later traversing the glacier ga…

Programmable Optical Filters Based on Feed-Forward Photonic Meshes
Carson G. Valdez, Anne R. Kroo, Marek Vlk, Charles Roques-Carmes, Shanhui Fan, David A. B. Miller, Olav Solgaard
https://arxiv.org/abs/2509.12059

Programmable Optical Filters Based on Feed-Forward Photonic Meshes
We demonstrate an integrated photonic circuit based on feed forward photonic meshes that can be programmed and reconfigured to perform arbitrary spectral filter functions. We investigate a subset of the available filter functions, demonstrating that a N = 4 input triangular mesh with M = 3 layers may be operated via self-configuration algorithms to filter M arbitrary wavelengths from a given input spectrum. The tunable nature of the architecture enables preconfigured filter functions to be swep…

The log viewer in ngscopeclient now includes a graphical interface to logtools filters, allowing you to filter by severity and turn high-verbosity tracing on/off for specific classes and functions.

Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
Jingran Zhang, Zhengzhang Yan, Yiming Chen, Zeqiang He, Jiahao Chen
https://arxiv.org/abs/2508.11396 https://

Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
This paper presents a cost-effective inertial pedestrian dead reckoning method for the bipedal robot in the GPS-denied environment. Each time when the inertial measurement unit (IMU) is on the stance foot, a stationary pseudo-measurement can be executed to provide innovation to the IMU measurement based prediction. The matrix Lie group based theoretical development of the adopted invariant extended Kalman filter (InEKF) is set forth for tutorial purpose. Three experiments are conducted to compa…

A filter-dependent granular temperature model from large-scale CFD-DEM data
Lee Rosenberg, William Fullmer, Sarah Beetham
https://arxiv.org/abs/2509.10728 https://

A filter-dependent granular temperature model from large-scale CFD-DEM data
The computational study of strongly-coupled, gas-solid flows at scales relevant to most environmental and engineering applications requires the use of `coarse-grained' methodologies such as the two-fluid model, particle-in-cell approach or the multiphase Reynolds Averaged Navier-Stokes equations. While these strategies enable computations at desirable length- and time-scales, they rely heavily on models to capture important flow physics that occur at scales smaller than the mesh. To date, the m…

Movable Antenna Enhanced Covert Dual-Functional Radar-Communication: Joint Beamforming and Antenna Position Optimization
Ran Yang, Zheng Dong, Peng Cheng, Lin Zhang, Wanting Lyu, Yue Xiu, Ning Wei, Chadi Assi
https://arxiv.org/abs/2510.09949

Movable Antenna Enhanced Covert Dual-Functional Radar-Communication: Joint Beamforming and Antenna Position Optimization
Movable antenna (MA) has emerged as a promising technology to flexibly reconfigure wireless channels by adjusting antenna placement. In this paper, we study a dual-functional radar-communication (DFRC) system enhanced with movable antennas. To ensure communication security, we aim to maximize the achievable sum rate by jointly optimizing the transmit beamforming vectors, receiving filter, and antenna placement, subject to radar signal-to-noise ratio (SNR) performance and transmission covertness…

Generation of frequency-bin-encoded dual-rail cluster states via time-frequency multiplexing of microwave photonic qubits
Zhiling Wang, Takeaki Miyamura, Yoshiki Sunada, Keika Sunada, Jesper Ilves, Kohei Matsuura, Yasunobu Nakamura
https://arxiv.org/abs/2508.10990

Generation of frequency-bin-encoded dual-rail cluster states via time-frequency multiplexing of microwave photonic qubits
Cluster states are a class of multi-qubit entangled states with broad applications such as quantum metrology and one-way quantum computing. Here, we present a protocol to generate frequency-bin-encoded dual-rail cluster states using a superconducting circuit consisting of a fixed-frequency transmon qubit, a resonator and a Purcell filter. We implement time-frequency multiplexing by sequentially emitting co-propagating microwave photons of distinct frequencies. The frequency-bin dual-rail encodi…

⛹🏻‍♀️ Ball mill technique produces nanoscale scaffolds that filter PFAS
#pfas …

Ball mill technique produces nanoscale scaffolds that filter PFAS
PFAS are fluorinated compounds found in many everyday products, such as outdoor clothing and cookware like Teflon pans. This is because PFAS are durable, heat-resistant and dirt-repellent. Their stability is precisely what leads to problems: although potentially harmful to our health, these substances are scarcely broken down at all in the environment and are regarded as "forever chemicals." PFAS are also found in wastewater. Although they can be removed by filtration, this is a laborious proce…

Good Morning #Canada
Yesterday, we upgraded our water filtration and, to ease the pain in my wallet, I thought I would share some facts on well water for those who care.
- approximately 11% of Canadians rely on non-municipal water sources.
- the vast majority of wells are drilled wells because they are safer, provide higher volume, and generally last longer.
- dug wells (like ours) are less common and are usually placed where there is a high water table. They are more susceptible to surface runoff.
- well water, although free, is not necessarily cheaper than municipal supply. There is a large upfront cost, which can vary greatly depending on soil conditions, but $25K for drilled and $10K for dug is not uncommon.
- a pump and filtration equipment can cost another $10K, depending on water treatment needed. We needed an additional Iron Filter due to high concentration. Sediment filters and UV treatment require annual maintenance, typically $400 .
#CanadaIsAwesome #Water #GlassHalfFull

DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
Yuan Wu, Sicheng He
https://arxiv.org/abs/2509.07474 https://arxiv.org/pdf/25…

DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
The Kalman filter is a fundamental tool for state estimation in dynamical systems. While originally developed for linear Gaussian settings, it has been extended to nonlinear problems through approaches such as the extended and unscented Kalman filters. Despite its broad use, a persistent limitation is that the underlying approximate model is fixed, which can lead to significant deviations from the true system dynamics. To address this limitation, we introduce the differentiable Kalman filter (D…

The Guardian launches its product recommendation site, The Filter, in the US, one year after its UK launch, with a focus on ethical consumption (Sara Guaglione/Digiday)
https://digiday.com/media/the-guardian-brings-the-filter-to-the-u-s-in-affi…

The Guardian brings The Filter to the U.S. in affiliate commerce push
The Guardian is bringing its product recommendation site The Filter stateside, as it looks to push harder into commerce revenue.

Accelerating Discovery: Rapid Literature Screening with LLMs
Santiago Matalonga, Domenico Amalfitano, Jean Carlo Rossa Hauck, Mart\'in Solari, Guilherme H. Travassos
https://arxiv.org/abs/2509.13103

Accelerating Discovery: Rapid Literature Screening with LLMs
Background: Conducting Multi Vocal Literature Reviews (MVLRs) is often time and effort-intensive. Researchers must review and filter a large number of unstructured sources, which frequently contain sparse information and are unlikely to be included in the final study. Our experience conducting an MVLR on Context-Aware Software Systems (CASS) Testing in the avionics domain exemplified this challenge, with over 8,000 highly heterogeneous documents requiring review. Therefore, we developed a Large…

SWA-PF: Semantic-Weighted Adaptive Particle Filter for Memory-Efficient 4-DoF UAV Localization in GNSS-Denied Environments
Jiayu Yuan, Ming Dai, Enhui Zheng, Chao Su, Nanxing Chen, Qiming Hu, Shibo Zhu, Yibin Cao
https://arxiv.org/abs/2509.13795

SWA-PF: Semantic-Weighted Adaptive Particle Filter for Memory-Efficient 4-DoF UAV Localization in GNSS-Denied Environments
Vision-based Unmanned Aerial Vehicle (UAV) localization systems have been extensively investigated for Global Navigation Satellite System (GNSS)-denied environments. However, existing retrieval-based approaches face limitations in dataset availability and persistent challenges including suboptimal real-time performance, environmental sensitivity, and limited generalization capability, particularly in dynamic or temporally varying environments. To overcome these limitations, we present a large-s…

Reconstruction of 2D line-integrated electron density using angular filter refractometry and a fast marching Eikonal solver
Brendan McCluskey, Jesse Griff-McMahon, Daniel Haberberger, Vicente Valenzuela-Villaseca, Huws Landsberger, William Fox
https://arxiv.org/abs/2508.05837

Reconstruction of 2D line-integrated electron density using angular filter refractometry and a fast marching Eikonal solver
Refraction of an optical probe beam by a plasma can be measured with angular filter refractometry (AFR), which produces an image containing intensity contours that correspond to curves of constant refraction angle. Further analysis is required to reconstruct the underlying line-integrated electron density. Most prior efforts to calculate density from AFR data have been limited to 1D analysis or forward-fitting techniques. In this paper, we detail the use of a fast marching Eikonal solver to dir…

Groupoids of finitely aligned higher-rank graphs via filters and graph morphisms
Lisa Orloff Clark, Malcolm Jones
https://arxiv.org/abs/2509.13929 https://…

Groupoids of finitely aligned higher-rank graphs via filters and graph morphisms
Path and boundary-path groupoids of finitely aligned higher-rank graphs are often constructed using either filters or graph morphisms. We generalise the graph morphism approach to finitely aligned P-graphs where (Q, P) is a weakly quasi-lattice ordered group, and we show the filter approach and the graph morphism approach yield isomorphic path and boundary-path groupoids. To do this, we define conjugacy of partial semigroup actions such that conjugate actions have isomorphic semidirect product …

is there a way to apply a filter to a single user rather than everybody

Size Distributions of Arcsecond-Scale Properties of Solar Flare Ribbons
Yue Zhang, Rui Liu, Wensi Wang, Junyan Liu
https://arxiv.org/abs/2508.13015 https://

Size Distributions of Arcsecond-Scale Properties of Solar Flare Ribbons
Solar flare ribbons are believed to map the footpoints of newly reconnected magnetic flux tubes, therefore shedding light on the reconnecting current sheet, which is rarely observed by direct imaging or spectroscopy. Here we study the detailed evolution of flare ribbons down to the arcsecond scale for 10 flares characterized by the classic double ribbons. Identifying the flaring pixels by combining the intensity variances of the UV filter ratio and intensity threshold, we found that the waiting…

Belated #MountainMonday ... Ever been in a place which made you feel you're maybe walking in dream (and it's not a nightmare)? This picture absolutely summarizes why I love the mountains the most in October...
(Had to de-saturate the colors because of polarization filter used, otherwise only slightly cropped and minutely raised shadows)

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
Ryan M. Bena, Gilbert Bahati, Blake Werner, Ryan K. Cosner, Lizhi Yang, Aaron D. Ames
https://arxiv.org/abs/2508.11129

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
Autonomous navigation through unstructured and dynamically-changing environments is a complex task that continues to present many challenges for modern roboticists. In particular, legged robots typically possess manipulable asymmetric geometries which must be considered during safety-critical trajectory planning. This work proposes a predictive safety filter: a nonlinear model predictive control (MPC) algorithm for online trajectory generation with geometry-aware safety constraints based on con…

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
Ming Tang, Xiaowen Huang, Jitao Sang
https://arxiv.org/abs/2508.11239 https://…

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
In recent years, recommender systems have primarily focused on improving accuracy at the expense of diversity, which exacerbates the well-known filter bubble effect. This paper proposes a universal framework called CD-CGCN to address the filter bubble issue in recommender systems from a community detection perspective. By analyzing user-item interaction histories with a community detection algorithm, we reveal that state-of-the-art recommendations often focus on intra-community items, worsening…

i've also drained both the filter and the pump bay. The blueberries are getting a very good drink today. 🫐
I probably won't circulate water through the stream again until I get the main pond weighed down with rock on the bottom. I wanted to try to start building the rock lining around the wall of the main pond to see if it would hold and be sufficient.
But I might just let the bottom of the pond dry out completely. It's going to be nice and warm again the next couple days so it is best for it to let it dry out and harden up.
#poolpond #backyardProject #diy

Classification Filtering
Ilker Bayram
https://arxiv.org/abs/2509.13975 https://arxiv.org/pdf/2509.13975

Classification Filtering
We consider a streaming signal in which each sample is linked to a latent class. We assume that multiple classifiers are available, each providing class probabilities with varying degrees of accuracy. These classifiers are employed following a straightforward and fixed policy. In this setting, we consider the problem of fusing the output of the classifiers while incorporating the temporal aspect to improve classification accuracy. We propose a state-space model and develop a filter tailored for…

Fixed a recently reported, asan-caught UaF in ngscopeclient earlier today when loading session files containing a protocol analyzer.
Apparently the analyzer never called AddRef() / Release() on the filter and could thus outlive it.
Yet another reason why the planned refactoring of filter ownership to use std::shared_ptr's rather than manual hand refcounting can't come soon enough. Just need to ship v0.1 first...

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Chenlong He, Zijing Dong, Min Li, Zhijian Hao, Leilei Huang, Xiaoyang Zeng, Yibo Fan
https://arxiv.org/abs/2510.10648

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding
Just Noticeable Distortion (JND)-guided pre-filter is a promising technique for improving the perceptual compression efficiency of image coding. However, existing methods are often computationally expensive, and the field lacks standardized benchmarks for fair comparison. To address these challenges, this paper introduces a twofold contribution. First, we develop and open-source FJNDF-Pytorch, a unified benchmark for frequency-domain JND-Guided pre-filters. Second, leveraging this platform, we …

Recursive Gaussian Process Regression with Integrated Monotonicity Assumptions for Control Applications
Ricus Husmann, Sven Weishaupt, Harald Aschemann
https://arxiv.org/abs/2508.14715

Recursive Gaussian Process Regression with Integrated Monotonicity Assumptions for Control Applications
In this paper, we present an extension to the recursive Gaussian Process (RGP) regression that enables the satisfaction of inequality constraints and is well suited for a real-time execution in control applications. The soft inequality constraints are integrated by introducing an additional extended Kalman Filter (EKF) update step using pseudo-measurements. The sequential formulation of the algorithm and several developed heuristics ensure both the performance and a low computational effort of …

Co-designed reflective and leaky-waveguide low-pass filter for superconducting circuits
Linus Andersson, Benjamin Olsson, Simone Gasparinetti, Robert Rehammar
https://arxiv.org/abs/2508.02475

Co-designed reflective and leaky-waveguide low-pass filter for superconducting circuits
A stepped-impedance low-pass filter with integrated hollow waveguide absorbers is presented. The filter combines low insertion loss in the passband with strong attenuation at high frequencies, making it well suited for superconducting quantum computing applications, where qubits are sensitive to both near-band and far out-of-band radiation. The structure is implemented in a rectangular coaxial geometry, with inductive sections coupled to circular hollow waveguides oriented orthogonally to the t…

EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
Arslan Majal, Aamir Hussain Chughtai, Muhammad Tahir
https://arxiv.org/abs/2509.07415 http…

EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
We present a learning-based outlier-robust filter for a general setup where the measurement noise can be correlated. Since it is an enhanced version of EM-based outlier robust filter (EMORF), we call it as EMORF-II. As it is equipped with an additional powerful feature to learn the outlier characteristics during inference along with outlier-detection, EMORF-II has improved outlier-mitigation capability. Numerical experiments confirm performance gains as compared to the state-of-the-art methods …

Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach
Mahdi Abdollahi, Atefeh Javadi, Barry F. Madore, Wendy L. Freedman, Hamidreza Mahani
https://arxiv.org/abs/2509.10901

Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach
The Period-Luminosity (PL) relation is usually derived using time-averaged magnitudes, which require multiple-epoch observations to determine periods and adequately sample the light curves. Although single-epoch observations are more practical and require significantly less observational effort, they inherently introduce greater photometric scatter, leading to an increased dispersion in the derived Period-Luminosity relations. In this paper, we explore, in detail, a method that transforms singl…

Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
Keyi Ding, Carrie Filion, Rosemary F. G. Wyse, Evan N. Kirby, Itsuki Ogami, Masashi Chiba, Yutaka Komiyama, L\'aszl\'o Dobos, Alexander S. Szalay
https://arxiv.org/abs/2510.07005

Machine Learning Techniques to Distinguish Giant Stars from Dwarf Stars Using Only Photometry -- Pushing Redwards
We present our photometric method, which combines Subaru/HSC $NB515$, g, and i band filters to distinguish giant stars in Local Group galaxies from Milky Way dwarf contamination. The $NB515$ filter is a narrow-band filter that covers the MgI+MgH features at $5150$ Å, and is sensitive to stellar surface gravity. Using synthetic photometry derived from large empirical stellar spectral libraries, we model the $NB515$ filter's sensitivity to stellar atmospheric parameters and chemical abundances. …

#PSA Since I've just been asked again if I could use more topic-specific accounts and not mix my photography with other topics — Unfortunately, nope! I'm on a single user managed instance and cannot create new accounts on this server nor do I want to create an account for every single topic I'm interested in or posting about. However, you can filter my posts by hashtags, which I'm tr…

Just did a nice #mountainbike loop nearby. My wife wanted to test her strength and endurance, especially with her new bike.
Well, it was a great ride! She did super well and I was surprised about how well it was for me, too!
Ohh and despite being doupt full at the start, I was super happy that I brought my water filter to refill my bottle during the ride!

When marine radar target detection meets pretrained large language models
Qiying Hu, Linping Zhang, Xueqian Wang, Gang Li, Yu Liu, Xiao-Ping Zhang
https://arxiv.org/abs/2509.12110

When marine radar target detection meets pretrained large language models
Deep learning (DL) methods are widely used to extract high-dimensional patterns from the sequence features of radar echo signals. However, conventional DL algorithms face challenges such as redundant feature segments, and constraints from restricted model sizes. To address these issues, we propose a framework that integrates feature preprocessing with large language models (LLMs). Our preprocessing module tokenizes radar sequence features, applies a patch selection algorithm to filter out uninf…

Hmmmm… here is a problem I did not anticipate.
Every time I empty the main pond hole of water, (the actual hole under the liner) water returns within an hour or two. I’ve done it 4 times now, and it keeps filling back up with water.
Obviously there is water underground infiltrating into the pond hole, and/or the water table itself is above the bottom of the hole. It is not coming from either of the other holes because they both have the same amount of water in them as they did this morning.
I have “watered” the blueberry patch and hazelnut tree a lot with the water that I have been cleaning the filter with… and we also had lots of water flying around outside the liners yesterday as I tested the pump. So it is quite possible that the ground around the pond is simply well saturated.
I think I am going to have to just keep removing the water (and putting it into the sewer) until it does not refill. We have a week of hot weather coming. Surely that will be enough time for everything to dry out completely.
Otherwise I might run into some issues if the rains return before I can anchor down the pond liner with gravel and get the plumbing in!
How is time already running short!?
Never underestimate the ability of water to find a place where it is not wanted. 😆
#poolpond #backyardProject #diy

SPICE: Simple and Practical Image Clarification and Enhancement
Alexander Belyaev, Pierre-Alain Fayolle, Michael Cohen
https://arxiv.org/abs/2510.08358 https://

SPICE: Simple and Practical Image Clarification and Enhancement
We introduce a simple and efficient method to enhance and clarify images. More specifically, we deal with low light image enhancement and clarification of hazy imagery (hazy/foggy images, images containing sand dust, and underwater images). Our method involves constructing an image filter to simulate low-light or hazy conditions and deriving approximate reverse filters to minimize distortions in the enhanced images. Experimental results show that our approach is highly competitive and often sur…

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
Zihan Wang, Zihan Liang, Zhou Shao, Yufei Ma, Huangyu Dai, Ben Chen, Lingtao Mao, Chenyi Lei, Yuqing Ding, Han Li
https://arxiv.org/abs/2509.12765

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
Retrieval-Augmented Generation (RAG) has emerged as a promising approach to address key limitations of Large Language Models (LLMs), such as hallucination, outdated knowledge, and lacking reference. However, current RAG frameworks often struggle with identifying whether retrieved documents meaningfully contribute to answer generation. This shortcoming makes it difficult to filter out irrelevant or even misleading content, which notably impacts the final performance. In this paper, we propose Do…

Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
Jan Krej\v{c}\'i, Oliver Kost, Yuxuan Xia, Lennart Svensson, Ond\v{r}ej Straka
https://arxiv.org/abs/2508.13647

Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
This paper uses multi-object tracking methods known from the radar tracking community to address the problem of pedestrian tracking using 2D bounding box detections. The standard point-object (SPO) model is adopted, and the posterior density is computed using the Poisson multi-Bernoulli mixture (PMBM) filter. The selection of the model parameters rooted in continuous time is discussed, including the birth and survival probabilities. Some parameters are selected from the first principles, while …

38% speedup on one of my test setups from a single-character code change.
This bug hiding in libscopehal for ages meant that if you tried to preallocate a buffer to avoid constant resizes, you'd end up reallocating even if the buffer was already the right size. If you're doing this every filter invocation, it adds up.

AcceleratorBuffer: don't reallocate pointlessly if we try to reserve … · ngscopeclient/scopehal@52b550f
…exactly our current size

CKFNet: Neural Network Aided Cubature Kalman filtering
Jinhui Hu, Haiquan Zhao, Yi Peng
https://arxiv.org/abs/2508.09727 https://arxiv.org/pdf/2508.09727…

CKFNet: Neural Network Aided Cubature Kalman filtering
The cubature Kalman filter (CKF), while theoretically rigorous for nonlinear estimation, often suffers performance degradation due to model-environment mismatches in practice. To address this limitation, we propose CKFNet-a hybrid architecture that synergistically integrates recurrent neural networks (RNN) with the CKF framework while preserving its cubature principles. Unlike conventional model-driven approaches, CKFNet embeds RNN modules in the prediction phase to dynamically adapt to unmodel…

#poolpond #backyardProject #diy
I spent the morning cleaning out the big pond. Lots of dirt and gunk and water had accumulated in the bottom over the past months. A combination of the little sump pump and a shop vac cleaned that all out.
But more concerning was the fact that when I walked down into the pond, it was mushy. There was obviously water underneath the liner.
I just pulled back the liner to reveal the water that had gotten under. It is likely that this water is from the overflow when I was testing the filter. It could be from a little bit of rainfall, but I doubt it.
There was a lot of water washing around the yard yesterday as I was figuring out the filter and the stream and overflowing areas so I am sure it got in that way.
Not a big problem. Just some more water to move with the little pump.
I am more concerned about the fact that a horsefly landed on me twice in the past hour. Devils they are.

A Multi-view Landmark Representation Approach with Application to GNSS-Visual-Inertial Odometry
Tong Hua, Jiale Han, Wei Ouyang
https://arxiv.org/abs/2508.05368 https://

A Multi-view Landmark Representation Approach with Application to GNSS-Visual-Inertial Odometry
Invariant Extended Kalman Filter (IEKF) has been a significant technique in vision-aided sensor fusion. However, it usually suffers from high computational burden when jointly optimizing camera poses and the landmarks. To improve its efficiency and applicability for multi-sensor fusion, we present a multi-view pose-only estimation approach with its application to GNSS-Visual-Inertial Odometry (GVIO) in this paper. Our main contribution is deriving a visual measurement model which directly assoc…

From Static to Dynamic: A Streaming RAG Approach to Real-time Knowledge Base
Yuzhou Zhu
https://arxiv.org/abs/2508.05662 https://arxiv.org/pdf/2508.05662…

From Static to Dynamic: A Streaming RAG Approach to Real-time Knowledge Base
Dynamic streams from news feeds, social media, sensor networks, and financial markets challenge static RAG frameworks. Full-scale indices incur high memory costs; periodic rebuilds introduce latency that undermines data freshness; naive sampling sacrifices semantic coverage. We present Streaming RAG, a unified pipeline that combines multi-vector cosine screening, mini-batch clustering, and a counter-based heavy-hitter filter to maintain a compact prototype set. We further prove an approximation…