Tootfinder

Well, that's the end of a very long era. Not that I could use it if I wanted to as my land line is long gone.
#aol
#pstn
#dialup

Let's check in on the "Keep Boards Alive" campaign.
They have closed the main thread. It went very much off track with little to no moderation and devolved into flinging insults at each other.
* 62 days to go.
* 757 subscribers out of 2000 (Up from 643 on August 19th)
* €28,508 out of €100,000 (This is just their yearly expenses. This excludes the €200K debt that also has to be paid off)
Mike and Odhran are seemingly active, but not posting a lot.…

Local well-posedness for a class of semilinear Moore-Gibson-Thompson equations with subcritical nonlinearities
Flank D. M. Bezerra, Lu\'is M. Salge
https://arxiv.org/abs/2510.06944

Local well-posedness for a class of semilinear Moore-Gibson-Thompson equations with subcritical nonlinearities
In this paper, we study a class of higher-order semilinear evolution equations inspired by the Moore-Gibson-Thompson model introduced by Dell'Oro, Liverani and Pata (2023), involving strongly elliptic operators of order ($2m$) with homogeneous boundary conditions. The associated unbounded linear operator is a sectorial operator with zero belonging to the resolvent set, allowing the construction of fractional powers spaces, and the analysis of their spectral properties. We prove the local well-p…

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye
https://arxiv.org/abs/2510.05725 https://…

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
Masked diffusion models (MDMs) have recently emerged as a novel framework for language modeling. MDMs generate sentences by iteratively denoising masked sequences, filling in [MASK] tokens step by step. Although MDMs support any-order sampling, performance is highly sensitive to the choice of which position to unmask next. Prior work typically relies on rule-based schedules (e.g., max-confidence, max-margin), which provide ad hoc improvements. In contrast, we replace these heuristics with a lea…

ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G
Ahmad Bazzi, Mingjun Ying, Ojas Kanhere, Theodore S. Rappaport, Marwa Chafii
https://arxiv.org/abs/2509.06672

ISAC Imaging by Channel State Information using Ray Tracing for Next Generation 6G
Integrated sensing and communications (ISAC) is emerging as a cornerstone technology for sixth generation (6G) wireless systems, unifying connectivity and environmental mapping through shared hardware, spectrum, and waveforms. The following paper presents an ISAC imaging framework utilizing channel state information (CSI) per-path components, transmitter (TX) positions, and receiver (RX) positions obtained from the calibrated NYURay ray tracer at 6.75 GHz in the upper mid-band. Our work shows h…

T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation
Xiaobei Zhao, Xingqi Lyu, Xiang Li
https://arxiv.org/abs/2509.06644 https://

T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation
Agricultural robotic agents have been becoming powerful helpers in a wide range of agricultural tasks, nevertheless, still heavily rely on manual operation or untransportable railway for movement. The AgriVLN method and the A2A benchmark pioneeringly extend Vision-and-Language Navigation (VLN) to the agricultural domain, enabling agents navigate to the target position following the natural language instructions. AgriVLN effectively understands the simple instructions, however, often misundersta…

A4FN: an Agentic AI Architecture for Autonomous Flying Networks
Andr\'e Coelho, Pedro Ribeiro, Helder Fontes, Rui Campos
https://arxiv.org/abs/2510.03829 https://

A4FN: an Agentic AI Architecture for Autonomous Flying Networks
This position paper presents A4FN, an Agentic Artificial Intelligence (AI) architecture for intent-driven automation in Flying Networks (FNs) using Unmanned Aerial Vehicles (UAVs) as access nodes. A4FN leverages Generative AI and Large Language Models (LLMs) to enable real-time, context-aware network control via a distributed agentic system. It comprises two components: the Perception Agent (PA), which semantically interprets multimodal input -- including imagery, audio, and telemetry data -- f…

Packers rookie WR Matthew Golden not feeling pressure of first-round status https://www.nfl.com/news/packers-rookie-wr-matthew-golden-not-feeling-pressure-of-first-round-status

H-Net Job Guide Weekly Report for H-Buddhism: 24 August - 31 August
https://ift.tt/bVlmyGs
Conference> Chinese Buddhist Philosophy: From Three Treatises to Five Schools, 7-8 August 2025,…
via Input 4 RELCFP

H-Net Job Guide Weekly Report for H-Buddhism: 23 June - 30 June
https://ift.tt/piFYIjn
CFP: The (After) Lives of Things: Deconstructing and Reconstructing Material Culture, Association of…
via Input 4 RELCFP