Clay weekly context brief for the Systems category (ISO week 2026-W46). Clay tracks publications from the Systems feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed. Recent publications: 1. Sensing-Based Communication: A Non-Orthogonal Passive Reflection Framework for ISAC Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.08809 While integrating uplink without disrupting the primary downlink remains a critical challenge for existing reflective communication systems, this paper proposes a non-orthogonal passive integrated sensing and communication (ISAC) mechanism termed Sensing-based Communication. 2. A Unified Multisensor Machine-Learning Framework for Live Fuel Moisture Content Retrieval Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2607.16714 Live fuel moisture content controls vegetation flammability and is a high-importance variable in fire management. 3. On PMU Adequacy for Wideband Dynamics Tracking Beyond Attenuation Assumptions Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09789 Recent work highlights the inadequacy of standard synchrophasors in capturing high-frequency grid dynamics, including data center oscillations, primarily due to filtering and windowing attenuation during phasor estimation. 4. StreamAZ: Line-by-Line SAR Focusing with State Space Models Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2605.10340 Conventional focusing methods for Synthetic Aperture Radar (SAR) employ block-wise processing efficiently but remain latency-heavy processes that prevent the realisation of a closed-loop cognitive SAR system. 5. Payload-Blind Bistatic Delay-Doppler Sensing with Phase-Injected Chirps in CE-OFDM Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09687 Constant-envelope orthogonal frequency-division multiplexing (CE-OFDM) preserves a unit-magnitude sample envelope, but its Hermitian-symmetric structure makes dedicated sensing pilots costly, and additive pilots disrupt this envelope. 6. prNet: Data-Driven Phase Retrieval via Stochastic Refinement Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2507.09608 Phase retrieval is an ill-posed inverse problem in which existing methods often struggle to balance reconstruction fidelity and perceptual quality. 7. Beyond Feasibility: Efficient and Robust On-Device Localization with UWB Concurrent Transmissions Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09619 Concurrent transmissions (CTX) enable an ultra-wideband (UWB) tag to range to, or self-localize from, multiple nodes with a single frame reception, significantly improving update rate and energy efficiency compared to traditional approaches. 8. A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2506.09661 Oral squamous cell carcinoma OSCC is a major global health burden, particularly in several regions across Asia, Africa, and South America, where it accounts for a significant proportion of cancer cases. 9. Multi-Mode Pinching-Antenna-Based OFDM Systems: A Robust Design Perspective Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09591 A robust transmission framework is proposed for a multi-mode pinching-antenna (MPA)-based orthogonal frequency-division multiplexing (OFDM) system under both channel state information (CSI) errors and PA positioning errors. 10. SmartBloch-Agent: An Agentic Framework for Automated MRI Sequence Design and Optimization Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2611.09413 Magnetic resonance imaging (MRI) pulse sequences organize radiofrequency excitation, gradient encoding, and signal acquisition, determining magnetization evolution and image formation. 11. Expert Spindles in the Wild: Enriched Supervision for a Dense Detector Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09576 Sleep spindles are a hallmark of healthy NREM sleep whose frequency, amplitude, density, duration and topography vary with brain maturation, age and disease. 12. eSharp: Diffusion-based Sharp Monocular Metric Event-to-Depth Estimation Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2611.08731 Depth perception is fundamental for autonomous navigation, industrial inspection, and mixed-reality systems. 13. Sparse Array-Inspired Frame Structure Design for 5G NR ISAC Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09544 Integrated sensing and communication (ISAC) has emerged as a promising paradigm for future wireless networks. 14. Subliminal Learning in Vision-Language Models Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2611.08538 Subliminal learning is a phenomenon in large language models (LLMs) where a teacher passes a hidden preference to a student through training data unrelated to that preference. 15. A Hybrid Digital/Analog Polyphase Filtering Approach for High-Speed RF-DACs Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09461 This paper proposes a hybrid polyphase interpolation for RF-DACs that removes the need for full-rate digital commutation by using passive combining on the RF-DAC itself. 16. Super-resolved digital terrain models for GEDI geolocation correction: agreement with airborne LiDAR DTM-based corrections at the beam level, not the footprint Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2611.09854 The Global Ecosystem Dynamics Investigation (GEDI) mission measures three-dimensional forest structure with a LiDAR aboard the International Space Station. 17. Scalable BLE Channel Sounding Localization with Ranging-Assisted PDoA Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2611.09451 Bluetooth Channel Sounding (CS) enables accurate phase-based ranging, but multi-anchor localization requires sequential ranging exchanges that limit scalability and increase measurement latency. 18. AdaptivePnP: Fast Auto-Tuned Plug-and-Play for Deconvolution Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2611.09845 Plug-and-play (PnP) methods reconstruct images by alternating a data-fitting step with an image denoiser. Sources in this brief: eess.IV (Image and Video Processing); eess.SP (Signal Processing). Selected 18 of 40 available items for this weekly brief.