4 papers
HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization
Jorge L. Ruiz Williams
KV-cache quantizers usually optimize storage-space reconstruction, even though attention reads keys through logits and values through attention-weighted readout. We argue that pers…
Attention-Mass Condensation for Sparse Decoding
Jorge L. Ruiz Williams
Attention-mass concentration creates an opportunity for sparse decoding, but retained mass alone does not guarantee a stable greedy decision: retrieval error, omitted value directi…
Warp-Cortex: An Asynchronous, Memory-Efficient Architecture for Million-Agent Cognitive Scaling on Consumer Hardware
Jorge L. Ruiz Williams
Current multi-agent Large Language Model (LLM) frameworks suffer from linear memory scaling, rendering "System 2" parallel reasoning impractical on consumer hardware. We present Wa…
Fast Witness Persistence for MRI Volumes via Hybrid Landmarking
Jorge Leonardo Ruiz Williams
We introduce a scalable witness-based persistent homology pipeline for full-brain MRI volumes that couples density-aware landmark selection with a GPU-ready witness filtration. Can…