Tootfinder

US-Ukraine minerals fund looks for manager as critical resources deal advances: https://benborges.xyz/2025/07/15/usukraine-minerals-fund-looks-for.html

Required reading.
✅ Human Rights Campaign | Tips for Preparedness, Peaceful Protesting, and Safety
https://www.hrc.org/resources/tips-for-preparedness-peaceful-protesting-and-safety

Tips for Preparedness, Peaceful Protesting, and Safety
Safety and preparedness are essential in uncertain times. Whether you're preparing for an emergency or participating in a peaceful protest, these…

"Kids have a right to education" doesn't mean "right to learn to create content efficiently". It means the right to an environment and relationships and mentoring and resources that allow them to become their full self. It's about the human and not any output. FFS.

On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
Minsoo Kim, Changhun Oh
https://arxiv.org/abs/2507.11089 https://

On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
Quantum resources enable us to achieve an exponential advantage in learning the properties of unknown physical systems by employing quantum memory. While entanglement with quantum memory is recognized as a necessary qualitative resource, its quantitative role remains less understood. In this work, we distinguish between two fundamental resources provided by quantum memory -- entanglement and ancilla qubits -- and analyze their separate contributions to the sampling complexity of quantum learnin…

Mgmt: We don't have the resources to make our own LLM. Can we just monetize AI prompts?
Business School Student: Hold my beer 🍺
#blockchain

PromptChain: A Decentralized Web3 Architecture for Managing AI Prompts as Digital Assets
We present PromptChain, a decentralized Web3 architecture that establishes AI prompts as first-class digital assets with verifiable ownership, version control, and monetization capabilities. Current centralized platforms lack mechanisms for proper attribution, quality assurance, or fair compensation for prompt creators. PromptChain addresses these limitations through a novel integration of IPFS for immutable storage, smart contracts for governance, and token incentives for community curation. O…

this potential — for AI companies to tweak their chatbots to give pro-Trump answers to appease MAGA — is one of the reasons I'm avoiding LLMs as a political practice. they are inherently extremely centralized, requiring massive resources to crawl data and train. to become dependent on such products is to subject ourselves to the owners' power. this is just one of the ways that can go disastrously wrong

The campaign to make it illegal for ChatGPT to criticize Trump
The conservative pressure campaign against social networks was hugely successful — and now it's coming for AI

FULL List of DC Protests to STOP the Coup. (6/13/25)
Weekly resources you need to fight the crisis.
https://organizedc.substack.com/p/full-list-of-dc-protests-to-stop-84b

FULL List of DC Protests to STOP the Coup. (6/13/25)
Weekly resources you need to fight the crisis.

I love communism because of its vision of a society based on equality, solidarity, and the abolition of class and state oppression. The idea of real communism, as envisioned by thinkers like Peter Kropotkin and Karl Marx, inspires me deeply. It’s a world where people freely associate, manage their own workplaces, and share resources according to need. This ideal has never truly been realized in history, which makes it all the more important to keep striving for it.
At the same time, I …

It’s always great when social media does this:

Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity
Loann Peurey, Marvin Lavechin, Tarek Kunze, Manel Khentout, Lucas Gautheron, Emmanuel Dupoux, Alejandrina Cristia
https://arxiv.org/abs/2506.11075

Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity
Audio-recordings collected with a child-worn device are a fundamental tool in child language research. Long-form recordings collected over whole days promise to capture children's input and production with minimal observer bias, and therefore high validity. The sheer volume of resulting data necessitates automated analysis to extract relevant metrics for researchers and clinicians. This paper summarizes collective knowledge on this technique, providing entry points to existing resources. We als…

From Research to Resources: Assessing Student Understanding and Skills in Quantum Computing
Beth Thacker, Jianlan Wang, Yuanlin Zhang, Quy Ban Tran, Divya Sree Vemula, Tunde Kushimo
https://arxiv.org/abs/2507.09656

From Research to Resources: Assessing Student Understanding and Skills in Quantum Computing
The revolutionary new field of Quantum Computing (QC) continues to gain attention in industry, academia, and government in both research and education. At educational institutions, there is a proliferation of introductory courses at various academic levels signaling a growing interest and recognition of the significance of this field. A crucial and often overlooked aspect is the development of research-based materials and pedagogical approaches to effectively teach the complexities of quantum c…

Investitionen in #Klimaanpassung zahlen sich aus.
Laut einer Analyse des World Resources Institute bringen sie im Schnitt mehr als das Zehnfache des eingesetzten Kapitals zurück.
Besonders hohe Renditen wurden im #Gesundheitswesen und bei der

PermRust: A Token-based Permission System for Rust
Lukas Gehring, Sebastian Rehms, Florian Tschorsch
https://arxiv.org/abs/2506.11701 https://

PermRust: A Token-based Permission System for Rust
Permission systems which restrict access to system resources are a well-established technology in operating systems, especially for smartphones. However, as such systems are implemented in the operating system they can at most manage access on the process-level. Since moderns software often (re)uses code from third-parties libraries, a permission system for libraries can be desirable to enhance security. In this short-paper, we adapt concepts from capability systems building a novel theoretical…

Ukrainian military: Russia lacks resources to encircle Pokrovsk-Myrnohrad agglomeration: https://benborges.xyz/2025/07/09/ukrainian-military-russia-lacks-resources.html

Quantum Resource Complementarity in Finite-Dimensional Systems
Justin K. Edmondson
https://arxiv.org/abs/2506.11741 https://arxiv.org…

Quantum Resource Complementarity in Finite-Dimensional Systems
Quantum resources such as entanglement, information redundancy, and coherence enable revolutionary advantages but obey fundamental tradeoffs. We present a unified geometric constraint governing three core operational tasks: teleportation ($q_1$), cloning ($q_2$), and coherence-based metrology ($q_3$). For any tripartite quantum state $ρ_{ABC}$, we show the tight inequality $q_1^2 + q_2^2 + q_3^2 \leq 1$ confines all physically achievable resources to the positive octant of the unit ball. This …

Demo: Secure Edge Server for Network Slicing and Resource Allocation in Open RAN
Adhwaa Alchaab, Ayman Younis, Dario Pompili
https://arxiv.org/abs/2507.11499

Demo: Secure Edge Server for Network Slicing and Resource Allocation in Open RAN
Next-Generation Radio Access Networks (NGRAN) aim to support diverse vertical applications with strict security, latency, and Service-Level Agreement (SLA) requirements. These demands introduce challenges in securing the infrastructure, allocating resources dynamically, and enabling real-time reconfiguration. This demo presents SnSRIC, a secure and intelligent network slicing framework that mitigates a range of Distributed Denial-of-Service (DDoS) attacks in Open RAN environments. SnSRIC incorp…

USA Resources by city - Don't Call The Police https://dontcallthepolice.com/?utm_source=dlvr.it&utm_content=muz4now/magazine/Pay Attention&utm_medium=mastodon

Resources by city - Don't Call The Police
Database of local and national community-based alternatives to calling the police or 911, broken down by city

Capsule: Efficient Player Isolation for Datacenters
Zhouheng Du, Nima Davari, Li Li, Nodir Kodirov
https://arxiv.org/abs/2506.11483 https://

Capsule: Efficient Player Isolation for Datacenters
Cloud gaming is increasingly popular. A challenge for cloud provider is to keep datacenter utilization high: a non-trivial task due to application variety. These applications come in different shapes and sizes. So do cloud datacenter resources, e.g., CPUs, GPUs, NPUs. Part of the challenge stems from game engines being predominantly designed to run only one player. One player in a lightweight game might utilize only a fraction of the cloud server GPU. The remaining GPU capacity will be left u…

Remote Safety Monitoring: Significance-Aware Status Updating for Situational Awareness
Tasmeen Zaman Ornee, Md Kamran Chowdhury Shisher, Clement Kam, Yin Sun
https://arxiv.org/abs/2507.09833

Remote Safety Monitoring: Significance-Aware Status Updating for Situational Awareness
In this study, we consider a problem of remote safety monitoring, where a monitor pulls status updates from multiple sensors monitoring several safety-critical situations. Based on the received updates, multiple estimators determine the current safety-critical situations. Due to transmission errors and limited channel resources, the received status updates may not be fresh, resulting in the possibility of misunderstanding the current safety situation. In particular, if a dangerous situation is …

DPUV4E: High-Throughput DPU Architecture Design for CNN on Versal ACAP
Guoyu Li (AMD), Pengbo Zheng (AMD), Jian Weng (AMD), Enshan Yang (AMD)
https://arxiv.org/abs/2506.11441

DPUV4E: High-Throughput DPU Architecture Design for CNN on Versal ACAP
Convolutional Neural Networks (CNNs) remain prevalent in computer vision applications, and FPGAs, known for their flexibility and energy efficiency, have become essential components in heterogeneous acceleration systems. However, traditional FPGAs face challenges in balancing performance and versatility due to limited on-chip resources. AMD's Versal ACAP architecture, tailored for AI applications, incorporates AI Engines (AIEs) to deliver high computational power. Nevertheless, the platform suf…

A Review and Comparison of Different Sensitivity Analysis Techniques in Practice
Devin Francom, Abigael Nachtsheim
https://arxiv.org/abs/2506.11471 https:/…

A Review and Comparison of Different Sensitivity Analysis Techniques in Practice
There exist many methods for sensitivity analysis readily available to the practitioner. While each seeks to help the modeler answer the same general question -- How do sources of uncertainty or changes in the model inputs relate to uncertainty in the output? -- different methods are associated with different assumptions, constraints, and required resources, leading to conclusions that may vary in interpretability and level of detail. Thus, it is crucial that the practitioner selects the desire…

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents?
Ramesh Raskar, Pradyumna Chari, Jared James Grogan, Mahesh Lambe, Robert Lincourt, Raghu Bala, Abhishek Singh, Ayush Chopra, Rajesh Ranjan, Shailja Gupta, Dimitris Stripelis, Maria Gorskikh, Sichao Wang
https://arxiv.org/abs/2506.12003

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents?
The emerging Internet of AI Agents challenges existing web infrastructure designed for human-scale, reactive interactions. Unlike traditional web resources, autonomous AI agents initiate actions, maintain persistent state, spawn sub-agents, and negotiate directly with peers: demanding millisecond-level discovery, instant credential revocation, and cryptographic behavioral proofs that exceed current DNS/PKI capabilities. This paper analyzes whether to upgrade existing infrastructure or implement…

Random Batch Methods for Discretized PDEs on Graphs
Mart\'in Hern\'andez, Enrique Zuazua
https://arxiv.org/abs/2506.11809 https://

Random Batch Methods for Discretized PDEs on Graphs
Gas transport and other complex real-world challenges often require solving and controlling partial differential equations (PDEs) defined on graph structures, which typically demand substantial memory and computational resources. The Random Batch Method (RBM) offers significant relief from these demands by enabling the simulation of large-scale systems with reduced computational cost. In this paper, we analyze the application of RBM for solving PDEs on one-dimensional graphs, specifically con…

This https://arxiv.org/abs/2501.17707 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csOS_…

vNV-Heap: An Ownership-Based Virtually Non-Volatile Heap for Embedded Systems
The Internet of Batteryless Things might revolutionize our understanding of connected devices by harvesting required operational energy from the environment. These systems come with the system-software challenge that the intermittently powered IoT devices have to checkpoint their state in non-volatile memory to later resume with this state when sufficient energy is available. The scarce energy resources demand that only modified data is persisted before a power failure, which requires precise m…

Antifeminist women's summit: 'The kitchen is where the real revolution starts' (Rachael Fugardi/Southern Poverty Law Center)
https://www.splcenter.org/resources/hatewatch/turning-point-usa-young-women-leadership-summit-agenda/
http://www.memeorandum.com/250710/p89#a250710p89

In this moment when equity & inclusion efforts are being hindered & erased, the DLF Committee on Equity & Inclusion is creating a Zotero library of related resources for the GLAM community. Let us know what topics would be most helpful to you: https://docs.google.com/f…

On Monday, scores of scientists at the National Institutes of Health sent their Trump-appointed leader a letter titled the "Bethesda Declaration"
challenging “policies that undermine the NIH mission, waste public resources, and harm the health of Americans and people across the globe.”
It says: “We dissent.”
In a capital where insiders often insist on anonymity to say such things publicly,
92 NIH researchers, program directors, branch chiefs and scientific r…

NIH scientists go public with criticism over Trump cuts
President Donald Trump’s National Institutes of Health director says some employees’ critical letter to him has “fundamental misconceptions about the policy directions the NIH has taken.” Monday’s letter from NIH researchers and staffers says the Republican Trump administration’s policies waste public resources and harm people’s health. NIH Director Jay Bhattacharya in his confirmation hearings pledged openness to views that might conflict with his, saying dissent is the “essenc…

Bellingcat tested LLMs for Geolocation.
#AI

Have LLMs Finally Mastered Geolocation? - bellingcat
We tasked LLMs from OpenAI, Google, Anthropic, Mistral and xAI to geolocate our unpublished holiday snaps. Here's how they did.

"The Dust Bowl led to the creation of what is now called the Natural Resources Conservation Service. Just as it celebrates a major milestone, the agency is dealing with job losses, massive proposed budget cuts and talk of consolidation." #NRCS (h/t Tom Gill)

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new/
[2/3]:
IPA-CHILDES & G2P : Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Mode...

A look at Meta's revamped GenAI strategy, as Mark Zuckerberg poaches top AI talent for the Superintelligence team with a typical offer of $200M over four years (SemiAnalysis)
https://semianalysis.com/2025/07/11/meta-superintellige…

Meta Superintelligence – Leadership Compute, Talent, and Data
Meta’s shocking purchase of 49% of Scale AI at a ~$30B valuation shows that money is of no concern for the $100B annual cashflow ad machine. Despite seemingly unlimited resources, Meta has been fal…

A Hybrid Heuristic Framework for Resource-Efficient Querying of Scientific Experiments Data
Mayank Patel, Minal Bhise
https://arxiv.org/abs/2506.10422 http…

A Hybrid Heuristic Framework for Resource-Efficient Querying of Scientific Experiments Data
Scientific experiments and modern applications are generating large amounts of data every day. Most organizations utilize In-house servers or Cloud resources to manage application data and workload. The traditional database management system (DBMS) and HTAP systems spend significant time & resources to load the entire dataset into DBMS before starting query execution. On the other hand, in-situ engines may reparse required data multiple times, increasing resource utilization and data processing…

Imagine if we collectively spent just 10% of the resources that go into the AI bullshit hype machine on solving, you know, the myriad of existential problems humanity faces.

Incentivizing Knowledge Transfers
Zhonghong Kuang, Yi Liu, Dong Wei
https://arxiv.org/abs/2507.11018 https://arxiv.org/pdf/2507.11018…

Incentivizing Knowledge Transfers
We study the optimal design of relational contracts that incentivize an expert to share specialized knowledge with a novice. While the expert fears that a more knowledgeable novice may later erode his future rents, a third-party principal is willing to allocate her resources to facilitate knowledge transfer. In the unique profit-maximizing contract between the principal and the expert, the expert is asked to train the novice as much as possible, for free, in the initial period; knowledge transf…

Resources listed for the EU project "Assisting the process of integrating children with impaired vision in school system" https://visionassist.eu/en/resources/

Future Deployment and Flexibility of Distributed Energy Resources in the Distribution Grids of Switzerland
Lorenzo Zapparoli, Alfredo Oneto, Mar\'ia Parajeles Herrera, Blazhe Gjorgiev, Gabriela Hug, Giovanni Sansavini
https://arxiv.org/abs/2506.08724

Future Deployment and Flexibility of Distributed Energy Resources in the Distribution Grids of Switzerland
The decarbonization goals worldwide drive the energy transition of power distribution grids, which operate under increasingly volatile conditions and closer to their technical limits. In this context, localized operational data with high temporal and spatial resolution is essential for their effective planning and regulation. Nevertheless, information on grid-connected distributed energy resources, such as electric vehicles, photovoltaic systems, and heat pumps, is often fragmented, inconsisten…

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models
Jinming Wen, Xinyi Wu, Shuai Zhao, Yanhao Jia, Yuwen Li
https://arxiv.org/abs/2506.11521

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models
Multimodal large language models (MLLMs), which bridge the gap between audio-visual and natural language processing, achieve state-of-the-art performance on several audio-visual tasks. Despite the superior performance of MLLMs, the scarcity of high-quality audio-visual training data and computational resources necessitates the utilization of third-party data and open-source MLLMs, a trend that is increasingly observed in contemporary research. This prosperity masks significant security risks. E…

Leveraging Large Language Models for Classifying App Users' Feedback
Yasaman Abedini, Abbas Heydarnoori
https://arxiv.org/abs/2507.08250 https://

Leveraging Large Language Models for Classifying App Users' Feedback
In recent years, significant research has been conducted into classifying application (app) user feedback, primarily relying on supervised machine learning algorithms. However, fine-tuning more generalizable classifiers based on existing labeled datasets remains an important challenge, as creating large and accurately labeled datasets often requires considerable time and resources. In this paper, we evaluate the capabilities of four advanced LLMs, including GPT-3.5-Turbo, GPT-4, Flan-T5, and Ll…

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…

Robust Contextual State Estimation with Limited Measurement Data
J. G. De la Varga, J. M. Morales, S. Pineda
https://arxiv.org/abs/2507.08767 https://

Robust Contextual State Estimation with Limited Measurement Data
The increasing integration of distributed energy resources (DERs) is transforming power systems into complex, decentralized networks, particularly at the distribution level, where active distribution networks (ADNs) introduce new challenges for monitoring and control. Accurate state estimation in these systems is complicated by limited and heterogeneous measurement infrastructures, where real-time data from supervisory control and data acquisition (SCADA) and micro-phasor measurement units ($μ…

New preprint!
User-space library rootkits revisited: Are user-space detection mechanisms futile?
https://arxiv.org/abs/2506.07827

An Exact Moment-Based Approach for Chemical Reaction-Diffusion Networks: From Mass Action to Hill Functions
Manuel Eduardo Hern\'andez-Garc\'ia, Eduardo Moreno-Barbosa, Jorge Vel\'azquez-Castro
https://arxiv.org/abs/2505.09053

An Exact Moment-Based Approach for Chemical Reaction-Diffusion Networks: From Mass Action to Hill Functions
Biochemical systems are inherently stochastic, particularly those with small-molecule populations. The spatial distribution of molecules plays a critical role and requires the inclusion of spatial coordinates in their analysis. Stochastic models such as the chemical master equation are commonly used to study these systems. However, analytical solutions are limited to specific cases, and stochastic simulations require significant computational resources. To mitigate these challenges, approximati…

GlobDB: A comprehensive species-dereplicated microbial genome resource
Daan R. Speth (Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria), Nick Pullen (Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria), Samuel T. N. Aroney (Centre for Microbiome Research School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Woolloongabba, Australia), Benjamin L. …

GlobDB: A comprehensive species-dereplicated microbial genome resource
Over the past years, substantial numbers of microbial species' genomes have been deposited outside of conventional INSDC databases. The GlobDB aggregates 14 independent genomic catalogues to provide a comprehensive database of species-dereplicated microbial genomes, with consistent taxonomy, annotations, and additional analysis resources. The GlobDB is available at https://globdb.org/.

O'Reilly: GenAI has adopted a colonialist business model.
https://www.linkedin.com/posts/timo3_proud-of-the-cloudflare-team-working-to-build-activity-7345899260506271745-mlHS

If you want to understand why O'Reilly is a supporter of this announcement, and want to ask both me and Matthew Prince about it, join our July 14 conversation on Live with Tim O'Reilly. | Tim O'Reilly
If you want to understand why O'Reilly is a supporter of this announcement, and want to ask both me and Matthew Prince about it, join our July 14 conversation on Live with Tim O'Reilly. AI has adopted colonialism as its business model: Extract resources from others and use it to enrich yourself and your customers at the expense of those whose resources you have taken, without giving much back. It's high time we started developing new mechanisms to enable content monetization for creators, not …

How lakes connect to groundwater critical for resilience to climate change, research finds https://phys.org/news/2025-07-lakes-groundwater-critical-resilience-climate.html

How lakes connect to groundwater critical for resilience to climate change, research finds
Understanding whether lakes are fed predominantly by groundwater or rainwater is critical to managing our water resources in the face of droughts and shortages, new research has found.

Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units
Dahu Feng, Erhu Feng, Dong Du, Pinjie Xu, Yubin Xia, Haibo Chen, Rong Zhao
https://arxiv.org/abs/2506.11446

Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units
With the rapid development of artificial intelligence (AI) applications, an emerging class of AI accelerators, termed Inter-core Connected Neural Processing Units (NPU), has been adopted in both cloud and edge computing environments, like Graphcore IPU, Tenstorrent, etc. Despite their innovative design, these NPUs often demand substantial hardware resources, leading to suboptimal resource utilization due to the imbalance of hardware requirements across various tasks. To address this issue, prio…

‘The court now grants’: Judge finally agrees to toss Jan. 6 defendant’s gun case in light of Trump pardon and decisions on where the government’s ‘resources are best spent’
https://lawandcrime.com/high-profile/the-court-now-grants-judge-finally-agrees-to-toss-jan-6-defendants-gun-case-in-light-of-trump-pardon-and-decisions-on-where-the-governments-resources-are-best-spent/

I just realized that OSS, as you know it, is dead.
The only hope you have of growing a community is to spend your time building docs that appeal to generative AI models in hopes they spit out the name of your library as a solution.
Megacorps and organizations flush with cash and resources will out-generate you every time, as they will have a direct line to AI vendor data miners.

Generalised Rate Control Approach For Stream Processing Applications
Ziren Xiao
https://arxiv.org/abs/2506.11710 https://arxiv.org/pd…

Generalised Rate Control Approach For Stream Processing Applications
Distributed stream processing systems are widely deployed to process real-time data generated by various devices, such as sensors and software systems. A key challenge in the system is overloading, which leads to an unstable system status and consumes additional system resources. In this paper, we use a graph neural network-based deep reinforcement learning to collaboratively control the data emission rate at which the data is generated in the stream source to proactively avoid overloading scen…

Entanglement and magic on the light-front
Sam Alterman, Peter J. Love
https://arxiv.org/abs/2507.10777 https://arxiv.org/pdf/2507.107…

Entanglement and magic on the light-front
In the light-front (LF) formulation of quantum field theory (QFT), physics is formulated from the perspective of a massless observer necessarily traveling at the speed of light. The LF formulation provides an alternative computational approach to lattice gauge theory, and has recently been investigated as a future application of quantum computers. A natural question is how quantum resources such as entanglement and contextuality amongst physical qubits in the laboratory are utilized in LF simul…

“The colossal buildup of Immigration and Customs Enforcement (Ice) will create the largest domestic police force in the US; its resources will be greater than those of every federal surveillance and carceral agency combined; it will employ more agents than the FBI. Ice will be bigger than the military of many countries. When it runs out of brown and Black people to deport, Ice – perhaps under another name – will be left with the authority and capability to surveil, seize and disappear anyone the administration considers undesirable.”
Ice is about to become the biggest police force in the US | Judith Levine | The Guardian https://www.theguardian.com/commentisfree/2025/jul/09/ice-immigration-police-trump-budget-bill

Drinking water shortage looming in the Netherlands. Not the climate change impact you'd expect in this wet place, with growing annual precipitation under climate change.
But periods of drought make more resources necessary, and provinces fail to organize it, due to pollution and competing use.

The Urban Model Platform: A Public Backbone for Modeling and Simulation in Urban Digital Twins
Rico H Herzog, Till Degkwitz, Trivik Verma
https://arxiv.org/abs/2506.10964

The Urban Model Platform: A Public Backbone for Modeling and Simulation in Urban Digital Twins
Urban digital twins are increasingly perceived as a way to pool the growing digital resources of cities for the purpose of a more sustainable and integrated urban planning. Models and simulations are central to this undertaking: They enable "what if?" scenarios, create insights and describe relationships between the vast data that is being collected. However, the process of integrating and subsequently using models in urban digital twins is an inherently complex undertaking. It raises questions…

Any good resources out there on building secure (but easy for someone who’s messing with javascript/typescript for the 1st time) login systems with nodejs and postgresql?
I think I’ve seen someone on fedi mention that bcrypt wasn’t really safe a while ago?
#nodejs

A common comment I hear from AI fanbois is you need to refine your prompt, and need to ask many times. And so they do.
Each prompt consumes 16oz of water just to answer, maybe double if you used voice, and a massive amount of energy and natural resources, so conservatively, what does each and every prompt REALLY cost? We do know OpenAI spent $12M to extract $9M, so maybe $10/prompt?
How is this "good for business"?
https://anatomyof.ai

Check out activities, videos and resources from Shelly Fryer’s “Rocket Camp” this week:
#stem

Mrs. Fryer's Classroom - Rocket Camp
Description July 7-11, 2025 Summer Camp: The Summer Rocket Lab is a week-long adventure into the exciting world of rocketry and space exploration. Designed for young minds eager to learn and create, the camp offers two age-specific sessions tailored to 2nd and 3rd graders, as well as incoming 4th

How H.R. 1, the One Big Beautiful Bill Act, Would Affect the Distribution of Resources Available to Households (CBO Publications)
https://www.cbo.gov/publication/61469
http://www.memeorandum.com/250612/p54#a250612p54

from my link log —
How to write mathematics. (1973)
https://sites.math.washington.edu/~lind/Resources/Halmos.pdf
saved 2025-02-22

So Naomi Brockwell TV blew my mind about how are smart TVs are spying on us with Automatic Content Recognition and other advertising profile scripts. Yikes!
https://youtu.be/jeq2m-OM53A?si=DPW7TQiDSopBdqiS
I don’t have the resources to switch to a more secure streaming devic…

Read "What went wrong with capitalism" by Ruchir Sharma.
A mildly interesting description of the major events in world an US economics in the last 50 years. Might
be a fair summary for anyone who didn't live through it or has a poor memory.
In short he thinks what went wrong was government bailing out failure leading to massive debts and increa
sed inequality.
Governments took over all the things instead of letting capitalism sort them out, he reckons, and wheneve
r a big industry or company fails you just get socialism for the rich and a bail-out from new printed money.
Easy cheap money, constant bail-outs, government intervention, leading to zombie companies racking up every larger debt to exist, billionaires who can't fail due to government support, and a stock market that's up-only bringing a flood of inefficiently-allocated capital.
Is he right? I mean, maybe, sort of. But when an industry really can't be allowed to fail, say water supply and waterway management, allowing private capital to extract maximum resources from it isn't the best method to manage it in the first place. No wonder they need bail-outs. Capitalism fails here because capitalism isn't the right solution here. We need publicly owned national services, not robber barons without
bailouts.
So, you know, half right. Perhaps these are some of the reasons why capitalism fails, but also we shouldn't even be trying to apply capitalism to every single thing in the first place.
#reading #capitalism #economics #RuchirSharma

Solving Nash Equilibria in Nonlinear Differential Games for Common-Pool Resources
Yongyang Cai, Anastasios Xepapadeas, Aart de Zeeuw
https://arxiv.org/abs/2506.06646

Solving Nash Equilibria in Nonlinear Differential Games for Common-Pool Resources
Many resources are provided by an ecological system that is vulnerable to tipping when exceeding a certain level of pollution, with a sudden big loss of ecosystem services. An ecological system is usually also a common-pool resource and therefore vulnerable to suboptimal use resulting from non-cooperative behavior. An analysis requires methods to derive cooperative and non-cooperative solutions for managing a dynamical system with tipping points. Such a game is a differential game which has two…

#UsPol #NIH #Academia
NIH scientists pub…

NIH scientists go public with criticism over Trump cuts
President Donald Trump’s National Institutes of Health director says some employees’ critical letter to him has “fundamental misconceptions about the policy directions the NIH has taken.” Monday’s letter from NIH researchers and staffers says the Republican Trump administration’s policies waste public resources and harm people’s health. NIH Director Jay Bhattacharya in his confirmation hearings pledged openness to views that might conflict with his, saying dissent is the “essenc…

An Analysis of Datasets, Metrics and Models in Keyphrase Generation
Florian Boudin, Akiko Aizawa
https://arxiv.org/abs/2506.10346 https://

An Analysis of Datasets, Metrics and Models in Keyphrase Generation
Keyphrase generation refers to the task of producing a set of words or phrases that summarises the content of a document. Continuous efforts have been dedicated to this task over the past few years, spreading across multiple lines of research, such as model architectures, data resources, and use-case scenarios. Yet, the current state of keyphrase generation remains unknown as there has been no attempt to review and analyse previous work. In this paper, we bridge this gap by presenting an analys…

Find alternatives to calling the #SantaBarbara Police Department.
The resources included here are limited to those that offer immediate assistance through emergency or crisis services.
These resources may be obligated to call police in the case of an immediate risk of harm to the caller or another, child abuse, or abuse of a vulnerable adult

Santa Barbara, CA - Don't Call The Police
Don't Call The Police - Community-based alternatives to calling the Santa Barbara Police Dept. or 911 in Santa Barbara, CA

Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
Sukanya Samanta
https://arxiv.org/abs/2506.10017 https://

Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
Intercepting a criminal using limited police resources presents a significant challenge in dynamic crime environments, where the criminal's location continuously changes over time. The complexity is further heightened by the vastness of the transportation network. To tackle this problem, we propose a layered graph representation, in which each time step is associated with a duplicate of the transportation network. For any given set of attacker strategies, a near-optimal defender strategy is com…

🚀 Ab sofort können digitale Forschungswerkzeuge für die NFDI4Culture Registry ganz unkompliziert über ein Online-Erfassungsformular vorgeschlagen werden: https://nfdi4culture.de/de/resources/registry/formular.html.
💡 Zielgruppe sind Forschende und Entwickler*innen gleiche…

This https://arxiv.org/abs/2505.21036 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

RainFusion: Adaptive Video Generation Acceleration via Multi-Dimensional Visual Redundancy
Video generation using diffusion models is highly computationally intensive, with 3D attention in Diffusion Transformer (DiT) models accounting for over 80\% of the total computational resources. In this work, we introduce {\bf RainFusion}, a novel training-free sparse attention method that exploits inherent sparsity nature in visual data to accelerate attention computation while preserving video quality. Specifically, we identify three unique sparse patterns in video generation attention calcu…

Low Resource Reconstruction Attacks Through Benign Prompts
Sol Yarkoni, Roi Livni
https://arxiv.org/abs/2507.07947 https://arxiv.org/pdf/2507.07947 https://arxiv.org/html/2507.07947
arXiv:2507.07947v1 Announce Type: new
Abstract: The recent advances in generative models such as diffusion models have raised several risks and concerns related to privacy, copyright infringements and data stewardship. To better understand and control the risks, various researchers have created techniques, experiments and attacks that reconstruct images, or part of images, from the training set. While these techniques already establish that data from the training set can be reconstructed, they often rely on high-resources, excess to the training set as well as well-engineered and designed prompts.
In this work, we devise a new attack that requires low resources, assumes little to no access to the actual training set, and identifies, seemingly, benign prompts that lead to potentially-risky image reconstruction. This highlights the risk that images might even be reconstructed by an uninformed user and unintentionally. For example, we identified that, with regard to one existing model, the prompt ``blue Unisex T-Shirt'' can generate the face of a real-life human model. Our method builds on an intuition from previous works which leverages domain knowledge and identifies a fundamental vulnerability that stems from the use of scraped data from e-commerce platforms, where templated layouts and images are tied to pattern-like prompts.
toXiv_bot_toot

november17: November17 members (2009)
A network representing connections among members of the November 17 (N17) Greek terrorist group. Nodes are members, and an edge exists if two members have some connection in the past. Metadata include role, function, resources. Some attributes are missing.
This network has 22 nodes and 66 edges.
Tags: Social, Offline, Unweighted, Metadata

Reading through the changelog, I’m struck by how many new features we have. How is it platforms like Threads, Bluesky, and Twatter take forever to release a new feature with the huge resources they have???
https://mastodon.social/@mastohost/114821931700210430

Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Samira Abdelrahman, Hossam Farag, Gilberto Berardinelli
https://arxiv.org/abs/2506.11749

Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Emerging 6G industrial networks envision autonomous in-X subnetworks to support efficient and cost-effective short range, localized connectivity for autonomous control operations. Supporting timely transmission of event-driven, critical control traffic is challenging in such networks is challenging due to limited radio resources, dynamic device activity, and high mobility. In this paper, we propose a distributed, learning-based random access protocol that establishes implicit inter-subnetwork c…

Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
Lingyun Gao, Cristian Tejedor-Garcia, Catia Cucchiarini, Helmer Strik
https://arxiv.org/abs/2506.11079

Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
Automatic reading aloud evaluation can provide valuable support to teachers by enabling more efficient scoring of reading exercises. However, research on reading evaluation systems and applications remains limited. We present a novel multimodal approach that leverages audio and knowledge from text resources. In particular, we explored the potential of using Whisper and instruction-tuned large language models (LLMs) with prompts to improve transcriptions for child speech recognition, as well as …

BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
Surya Jasper, Minh Luu, Evan Pan, Aakash Tyagi, Michael Quinn, Jiang Hu, David Kebo Houngninou
https://arxiv.org/abs/2506.10501

BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
Hardware complexity continues to strain verification resources, motivating the adoption of machine learning (ML) methods to improve debug efficiency. However, ML-assisted debugging critically depends on diverse and scalable bug datasets, which existing manual or automated bug insertion methods fail to reliably produce. We introduce BugGen, a first of its kind, fully autonomous, multi-agent pipeline leveraging Large Language Models (LLMs) to systematically generate, insert, and validate realisti…

Automating Multi-Tenancy Performance Evaluation on Edge Compute Nodes
Joanna Georgiou, Moysis Symeonides, George Pallis, Marios D. Dikaiakos
https://arxiv.org/abs/2506.10461

Automating Multi-Tenancy Performance Evaluation on Edge Compute Nodes
Edge Computing emerges as a promising alternative of Cloud Computing, with scalable compute resources and services deployed in the path between IoT devices and Cloud. Since virtualization techniques can be applied on Edge compute nodes, administrators can share their Edge infrastructures among multiple users, providing the so-called multi-tenancy. Even though multi-tenancy is unavoidable, it raises concerns about security and performance degradation due to resource contention in Edge Computing.…

Aspect-Based Opinion Summarization with Argumentation Schemes
Wendi Zhou, Ameer Saadat-Yazd, Nadin Kokciyan
https://arxiv.org/abs/2506.09917 https://

Aspect-Based Opinion Summarization with Argumentation Schemes
Reviews are valuable resources for customers making purchase decisions in online shopping. However, it is impractical for customers to go over the vast number of reviews and manually conclude the prominent opinions, which prompts the need for automated opinion summarization systems. Previous approaches, either extractive or abstractive, face challenges in automatically producing grounded aspect-centric summaries. In this paper, we propose a novel summarization system that not only captures pred…

(also, any resources on supporting passkeys?)

We can have a world of abundance for all now. We have the tools, techniques and technology. What we don't have is the politcal will. Politics have been completely taken over by the billionaires and their Republican Henchmen. They are working to ensure they can force artificial scarcity down our throats while they rack up more power and steal all the resources that really belong to us all.
#AbundanceForAll #Abundanista
https://danafblankenhorn.substack.com/p/the-implications-of-abundance

Optimal Voltage Control Using Online Exponential Barrier Method
Peng Zhang, Baosen Zhang
https://arxiv.org/abs/2506.10247 https://arx…

Optimal Voltage Control Using Online Exponential Barrier Method
This paper address the optimal voltage control problem of distribution systems with high penetration of inverter-based renewable energy resources, under inaccurate model information. We propose the online exponential barrier method that explicitly leverages the online feedback from grids to enhance the robustness to model inaccuracy and incorporates the voltage constraints to maintain the safety requirements. We provide analytical results on the optimal barrier parameter selection and sufficien…

FERC’s Christie calls for dispatchable resources after grid operators come ‘close to the edge’ | Utility Dive
https://www.utilitydive.com/news/ferc-christie-dispatchable-resources-heat-wave-pjm-miso-iso-ne/751821/

Construction of Urban Greenland Resources Collaborative Management Platform
Dongyang Lyu, Xiaoqi Li, Zongwei Li
https://arxiv.org/abs/2506.03830 https://…

Construction of Urban Greenland Resources Collaborative Management Platform
Nowadays, environmental protection has become a global consensus. At the same time, with the rapid development of science and technology, urbanisation has become a phenomenon that has become the norm. Therefore, the urban greening management system is an essential component in protecting the urban environment. The system utilises a transparent management process known as" monitoring - early warning - response - optimisation," which enhances the tracking of greening resources, streamlines mainte…

This https://arxiv.org/abs/2403.16971 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csOS_…

AIOS: LLM Agent Operating System
LLM-based intelligent agents face significant deployment challenges, particularly related to resource management. Allowing unrestricted access to LLM or tool resources can lead to inefficient or even potentially harmful resource allocation and utilization for agents. Furthermore, the absence of proper scheduling and resource management mechanisms in current agent designs hinders concurrent processing and limits overall system efficiency. As the diversity and complexity of agents continue to gro…

New apps are helping immigrants navigate Trump's deportation crackdown, including by alerting users to locations of ICE raids and informing them of their rights (Rest of World)
https://restofworld.org/2025/immigration-raids-migrant-safety-apps/

New apps help immigrants navigate Trump’s deportation crackdown
With tightening immigration policies and rising fears of deportation, new apps provide migrants with resources to stay prepared and connected.

Perpetua Resources gets final federal permit for Stibnite #Gold project in Idaho | mining.com | #geology #antimony

Perpetua Resources gets final federal permit for Stibnite Gold project in Idaho 
The decision comes after eight years of rigorous inter-agency federal permitting, and was the last federal permit required to progress towards construction. 

The State Department formally notified employees on Thursday that it was about to begin layoffs
as part of a consolidation plan that department officials say will reduce bureaucratic bloat
but that critics call a shortsighted blow to American diplomacy.
In an internal message sent to State Department workers on Thursday, Michael J. Rigas, the deputy secretary of state for management and resources, said
the department would “soon” begin notifying U.S. employees who are…

State Department to Soon Begin Mass Layoffs
Secretary of State Marco Rubio’s plan to downsize a “bloated” department had been on hold after a court ruling.

🚀 Ab sofort können digitale Forschungswerkzeuge für die NFDI4Culture Registry ganz unkompliziert über ein Online-Erfassungsformular vorgeschlagen werden: https://nfdi4culture.de/de/resources/registry/formular.html.
💡 Zielgruppe sind Forschende und Entwickler*innen gleiche…

Iranian Cyber Actors May Target Vulnerable US Networks and Entities of Interest (CISA)
https://www.cisa.gov/resources-tools/resources/iranian-cyber-actors-may-target-vulnerable-us-networks-and-entities-interest
http://www.memeorandum.com/250630/p72#a250630p72

ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
Feiyu Yang, Siyuan Liang, Aishan Liu, Dacheng Tao
https://arxiv.org/abs/2506.10776

ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
The capability of generative diffusion models (DMs) like Stable Diffusion (SD) in replicating training data could be taken advantage of by attackers to launch the Copyright Infringement Attack, with duplicated poisoned image-text pairs. SilentBadDiffusion (SBD) is a method proposed recently, which shew outstanding performance in attacking SD in text-to-image tasks. However, the feasible data resources in this area are still limited, some of them are even constrained or prohibited due to the iss…

Dynamic Less-Than-Truckload Transportation Planning in Hyperconnected Hub Networks with Multi-Carrier Operations
Tiankuo Zhang, Jingze Li, Benoit Montreuil
https://arxiv.org/abs/2506.10290

Dynamic Less-Than-Truckload Transportation Planning in Hyperconnected Hub Networks with Multi-Carrier Operations
Less-than-truckload (LTL) shipment is vital in modern freight transportation yet is in dire need of more efficient usage of resources, higher service responsiveness and velocity, lower overall shipping cost across all parties, and better quality of life for the drivers. The industry is currently highly fragmented, with numerous small to medium-sized LTL carriers typically operating within dedicated regions or corridors, mostly disconnected from each other. This paper investigates the large-scal…

Hateful man, that Pete. Too stupid to know it's bad luck to just rename a boat without the ceremony [Renaming a Boat https://www.discoverboating.com/resources/ceremony-for-renaming-your-boat]
Pete Hegseth orders Navy to remove Harvey Milk's name from ship during Pride Month - LGBTQ Nation
https://www.lgbtqnation.com/2025/06/pete-hegseth-orders-navy-to-remove-harvey-milks-name-from-ship-during-pride-month/

A Quantum Mechanical Pendulum Clock
Matteo Brunelli, Mohammad Mehboudi, Nicolas Brunner, Patrick P. Potts
https://arxiv.org/abs/2506.10666 https://

A Quantum Mechanical Pendulum Clock
We investigate an optomechanical system as a model of an autonomous mechanical pendulum clock in the quantum regime, whose operation relies only on incoherent (thermal) resources. The escapement of the clock, the mechanism that translates oscillatory motion into ticks, is provided by an emitter in the optical cavity and the operation of the clock relies on the existence of a limit cycle. Since the clock is based on an oscillatory degree of freedom, it can overcome the thermodynamic uncertainty …

Exclusive: Ukraine pitches deepwater gas, oil refinery projects to US under landmark minerals deal: https://benborges.xyz/2025/07/07/exclusive-ukraine-pitches-deepwater-gas.html

A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks
Jingzhao Xie, Zhenglian Li, Gang Sun, Long Luo, Hongfang Yu, Dusit Niyato
https://arxiv.org/abs/2507.07535

A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks
Computing Power Network (CPN) unifies wide-area computing resources through coordinated network control, while cloud-native abstractions enable flexible resource orchestration and on-demand service provisioning atop the elastic infrastructure CPN provides. However, current approaches fall short of fully integrating computing resources via network-enabled coordination as envisioned by CPN. In particular, optimally mapping services to an underlying infrastructure to maximize resource efficiency a…

The Secure Overview and Analysis OF 3GPP MAC CE
Jin Cao, Yuanyuan Yang, Ruhui Ma, Sheng Li, Hui Li
https://arxiv.org/abs/2506.09502 https://

The Secure Overview and Analysis OF 3GPP MAC CE
To more effectively control and allocate network resources, MAC CE has been introduced into the network protocol, which is a type of control signaling located in the MAC layer. Since MAC CE lacks encryption and integrity protection mechanisms provided by PDCP, the control signaling carried by MAC CE is vulnerable to interception or tampering by attackers during resource scheduling and allocation. Currently, the 3GPP has analyzed the security risks of Layer 1/Layer 2 Triggered Mobility (LTM), wh…

Leaders We Deserve
invests in candidates who reflect our generation and its values
matching them with the resources they need to run strong campaigns,
win, and change the face of power.
Think EMILYs List for young, progressive courageous candidates.
Leaders We Deserve invests in young people, knocks down these barriers, and elects more young people to office.

About Us | Leaders We Deserve
Young Progressive candidates face systemic barriers. At every level of government, the average politician is older than the average American. Our political system is stacked against young people – in favor of those who are older, …

Optimal quantum metrology under energy constraints
Longyun Chen, Yuxiang Yang
https://arxiv.org/abs/2506.09436 https://arxiv.org/pdf/…

Optimal quantum metrology under energy constraints
Quantum metrology promises enhanced precision in parameter estimation by exploiting quantum effects. The traditional framework of metrology commonly assumes unlimited access to resources, overlooking resource constraints in realistic scenarios. As such, the optimal strategies therein are often infeasible in practice. Here, we investigate quantum metrology where the total energy consumption of the probe state preparation, intermediate control operations, and the final measurement is subject to a…

Simon Rosenberg:
We have elections in 2025 that we have to really focus on first.
We need to have as big victories as we possibly can in New Jersey, Virginia, and in New York City, and to make elections
—which are only four months away, by the way; it’s very soon
—feel like clear repudiations of this politics.
Trump is already really unpopular. He’s already seen his coalition unravel.
And they just passed the most unpopular big bill in modern history.

Transcript: Trump’s Use of Secret Police Takes “Shocking” Darker Turn
Trump’s bill gives him vast new law enforcement resources. Democratic strategist Simon Rosenberg reflects on what the coming wave of militarized arrests will do to America—and how Democrats should fight it.

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
Junqing Zhang, Francesco Ardizzon, Mattia Piana, Guanxiong Shen, Stefano Tomasin
https://arxiv.org/abs/2506.09807

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication approaches are cryptography-based, which, however, are usually computationally expensive and not adequate in the Internet of Things (IoT), where devices tend to be low-cost and with limited resources. This paper provides a comprehensive survey of physical layer-based device fingerprinting, which is an emerging device a…

Device Independent Quantum Key Activation
Bora Ulu, Nicolas Brunner, Mirjam Weilenmann
https://arxiv.org/abs/2506.09772 https://arxiv…

Device Independent Quantum Key Activation
Device-independent quantum key distribution (DIQKD) allows two distant parties to establish a secret key, based only on the observed Bell nonlocal distribution. It remains however, unclear what the minimal resources for enabling DIQKD are and how to maximize the key rate from a given distribution. In the present work, we consider a scenario where several copies of a given quantum distribution are jointly processed via a local and classical wiring operation. We find that, under few assumptions, …

Ahead of a vote on Republicans’ budget reconciliation package expected as soon as noon Saturday,
U.S. Senate Committee on Energy and Natural Resources Chair Mike Lee revived his effort to sell off public lands.
Senate Parliamentarian Elizabeth MacDonough has blocked multiple provisions of the GOP megabill,
including several under the jurisdiction of the Utah Republican’s panel.
Among them is his attack on public lands.
“Here we go again,” Sen. Ron Wyden (D-Ore.) …

Mike Lee Tries to Sneak Public Land Sale Back Into 'Big, Ugly Bill' Ahead of Senate Vote | Common Dreams
Ahead of an expected vote on Republicans' budget reconciliation package, U.S. Senate Committee on Energy and Natural Resources Chair Mike Lee revived his effort to sell off public lands.

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

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