the Position Location Information
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
SQEEZ: Energy-efficient Location Sharing for Mobile Ad Hoc Networks
arXiv:2605.31339v1 Announce Type: new Abstract: Periodic network-wide dissemination of node location data is crucial for shared situational awareness and collaborative mapping in mobile ad hoc and mesh networks for public safety, disaster relief, and military. A key challenge is to provide maximally accurate location information with minimal energy expenditure on part of the nodes. We present SQEEZ: a mechanism for reducing the Position Location Information (PLI) load that combines two...
Channel Chart Location Privacy Based on Geo-Indistinguishability
Announce Type: new Abstract: Channel charting enables location-based services (LBSs) without requiring explicit position information by using pseudo-locations from the channel chart. While this property implies inherent privacy advantages, it does not provide formal privacy guarantees. In this work, we address location privacy in channel charting referred to as chart location indistinguishability (CLI), which extends geo-indistinguishability (GI) to channel charting representations.
How To Track Qubits Through Space and Time (Or: Sailing in a Quantum Boat)
Announce Type: cross Abstract: While quantum position verification aims to certify a prover's location using quantum information, existing security definitions only guarantee that part of the successful adversarial party is in the claimed location. This leaves open the possibility that a distributed team of adversaries can jointly simulate a prover in a way that defeats the intended meaning of ``being at a location'' in position-based cryptography. We introduce stronger notions of position...
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Announce Type: new Abstract: Long-context reasoning remains a central challenge for large language models, which often fail to locate and integrate key information in extensive distracting content. Reinforcement learning with verifiable rewards (RLVR) has shown promise for this task, yet existing methods are limited by low-confusability distractors and sparse, outcome-only reward signals that cannot supervise intermediate reasoning steps. To address these issues, we introduce...
Physics-Informed Neural Network for Diffusion-Reaction Problems with Dead-Core Formation in Catalyst Slabs
arXiv:2606.02599v1 Announce Type: new Abstract: This work investigates a nonlinear two-point boundary value problem arising in diffusion-reaction processes in catalyst slabs with power-law kinetics and fractional reaction order. The model exhibits a free-boundary structure, where an unknown interface separates a dead-core region with vanishing concentration from an active region with positive concentration. We propose a Physics-Informed Neural Network (PINN) framework that incorporates a...
Apple to make AI software push at upcoming Silicon Valley conference
The tech giant is expected to launch new AI integration into its software and changes to the voice assistant, Siri. Apple will be setting its artificial intelligence (AI) agenda at its annual developers conference this week. The Worldwide Developers Conference (WWDC), an information technology conference held annually both online and on-location in Apple Park, regularly focuses on software updates.
Centuries‑old logbooks reveal how bowhead whales are recovering from near extinction
Centuries‑old logbooks reveal how bowhead whales are recovering from near extinction Gaby Clark Scientific Editor Andrew Zinin Lead Editor Bowhead whales have the greatest life span of any mammal on Earth. They can reach over 200 years in age thanks in part to their slow metabolism and cancer-suppressing genes. They are far stockier and shorter than other large baleen whales, making them perfectly adapted to life among Arctic sea ice.
A prognostic human brain network for diffuse midline glioma
Abstract Diffuse midline gliomas (DMGs) are near-universally lethal tumours of the childhood central nervous system1,2. In animal models, DMGs form brain-wide integrated networks through neuron-to-glioma synapses3,4,5,6 and glioma-to-glioma gap junctional coupling3. This extensive connectivity robustly promotes the growth and invasion of DMG3,4,5,6,7,8,9 and other glial malignancies10,11,12 through paracrine mechanisms and direct neuron-to-glioma synapses.
A thalamus–brainstem attractor network drives history-biased decisions
Abstract Natural environments often change gradually, making it adaptive to bias decisions on the basis of the recent past — a phenomenon known as serial dependence1,2,3. Large-scale recordings during behaviour have identified that serial dependence is a common motif for decision-making, with neural representations of past experiences found throughout the brain4,5,6,7,8,9,10,11. However, it remains unclear whether this bias arises from dedicated neural circuits with history-specific...
The Price of Decentralization in Block Building
Announce Type: new Abstract: Decentralized block building mechanisms replace the monopoly of a single proposer with multiple builders. However, their censorship-resistance and fair-access benefits depend not only on the number of builders, but also on whether builders are geographically positioned to provide timely transaction coverage. We study this tension between builder location choice, user transaction coverage, and reward concentration by modeling decentralized block building as a...