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🇺🇦 #NowPlaying on #BBC6Music's #GuyGarveysFinestHour
Grover Washington, Jr. & Bill Withers:
🎵 Just The Two Of Us
#GroverWashington #Jr #BillWithers
https://natesu.bandcamp.com/track/grover-washington-jr-bill-withers-just-the-two-of-us-nates-recluse-edit
https://open.spotify.com/track/2tH28YyKYOldxhuBHoI79M

🇺🇦 Auf radioeins läuft...
Grover Washington jr & Bill Withers:
🎵 Just The Two Of Us
#NowPlaying #GroverWashingtonjr #BillWithers
https://natesu.bandcamp.com/track/grover-washington-jr-bill-withers-just-the-two-of-us-nates-recluse-edit
https://open.spotify.com/track/4C426PqeHP8XqHU5mQIAKS

Optimal phase change for a generalized Grover's algorithm
Christopher Cardullo, Min Kang
https://arxiv.org/abs/2509.20610 https://arxiv.org/pdf/2509.20…

Optimal phase change for a generalized Grover's algorithm
We study the generalized Grover's algorithm with an arbitrary amplitude vector to find the optimal phase change for maximizing the gain in probability for the target of each iteration. In the classic setting of Grover's algorithm with a real initial amplitude vector, we find that a phase change of $π$ stays optimal until the probability of observing the target is quite close to 1. We provide a formula for identifying this cut-off point based on the size of the data set. When the amplitude is t…

Ohhh, I have seen things, my furry friends, you would not even believe!
Spaceships—yes! Big ones! On fire! Right by the shoulder of Orion, wherever that is.
And shiny beams—glittery, sparkly—twinkling in the dark near the Tannhäuser Gate!
Ah, all those beautiful moments… they will go away, *poof!* Like, um, tears in the rain.
It is time… time for Grover to take a little nap now. Goodbye!

(Non-Parametric) Bootstrap Robust Optimization for Portfolios and Trading Strategies
Daniel Cunha Oliveira, Grover Guzman, Nick Firoozye
https://arxiv.org/abs/2510.12725 https:/…

(Non-Parametric) Bootstrap Robust Optimization for Portfolios and Trading Strategies
Robust optimization provides a principled framework for decision-making under uncertainty, with broad applications in finance, engineering, and operations research. In portfolio optimization, uncertainty in expected returns and covariances demands methods that mitigate estimation error, parameter instability, and model misspecification. Traditional approaches, including parametric, bootstrap-based, and Bayesian methods, enhance stability by relying on confidence intervals or probabilistic prior…

Women's inheritance rights reforms and impact on women's empowerment: evidence from India
Minali Grover, Ajay Sharma
https://arxiv.org/abs/2510.10437 https://

Women's inheritance rights reforms and impact on women's empowerment: evidence from India
This paper explores the influence of inheritance rights on women' empowerment in India. We employ the quasi-natural experiment framework wherein; five states amended the Hindu Succession Act (HSA) from 1976 to 1994 before it was federally amended in 2005. Further, we apply difference-in-difference (DID) strategy and consider triangulation approach to identify women empowerment indicators namely: access to resources, agency, and outcomes to measure varying dimensions of empowerment. Using the In…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[12/17]:
- StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework
Shayan Talaei, Meijin Li, Kanu Grover, James Kent Hippler, Diyi Yang, Amin Saberi

Mapping Quantum Threats: An Engineering Inventory of Cryptographic Dependencies
Carlos Benitez
https://arxiv.org/abs/2509.24623 https://arxiv.org/pdf/2509.…

Mapping Quantum Threats: An Engineering Inventory of Cryptographic Dependencies
The emergence of large-scale quantum computers, powered by algorithms like Shor's and Grover's, poses an existential threat to modern public-key cryptography. This vulnerability stems from the ability of these machines to efficiently solve the hard mathematical problems - such as integer factorization and the elliptic curve discrete logarithm problem - that underpin widely used cryptographic primitives. This includes RSA, Diffie-Hellman (DH), Elliptic Curve Diffie-Hellman (ECDH), and Elliptic C…

Replaced article(s) found for q-fin.MF. https://arxiv.org/list/q-fin.MF/new
[1/1]:
- Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets
Liam Welsh, Udit Grover, Sebastian Jaimungal