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leandromoreira/distributed-stack-trace: This project is a runtime microservice demo that builds a “distributed stack trace” by propagating error metadata up the call chain in an HTTP header (x-error-tree), instead of relying on full distributed tracing sampling  🕵️Jaeger
github.com·6d·Hacker News
Aphelion Benchmarks & PC Performance Analysis  🚀Performance
dsogaming.com·2d
Paper page - Large Language Models Explore by Latent Distilling  🔍RAG
huggingface.co·18h
Index-Assisted Stratified Sampling for Online Aggregation  📇Index Selection
arxiv.org·4h
Understanding Mechanisms of Molecular Rare Events from Start to Finish  🧪Food Science
link.aps.org·6d
Toward Scalable Terminal Task Synthesis via Skill Graphs  💬Prompt Engineering
arxiv.org·2d
Dual-Track CoT: Budget-Aware Stepwise Guidance for Small LMs  💬Prompt Engineering
arxiv.org·2d
The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive  👻Phantom Types
arxiv.org·2d
Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces  🎲Deterministic Simulation
arxiv.org·3d
CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments  🚀Milvus
arxiv.org·2d
Associativity-Peakiness Metric for Contingency Tables  🔄Burrows-Wheeler Transform
arxiv.org·4d
Hard-to-Sample Distributions from Robust Extractors  📦Succinct Data Structures
arxiv.org·1d
When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling  ⚡X-Fast Tries
arxiv.org·1d
Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary  📡Signal Processing
arxiv.org·3d
qSHIFT: An Adaptive Sampling Protocol for Higher-Order Quantum Simulation  ⚛️Quantum Computing
arxiv.org·1d
FlowPlace: Flow Matching for Chip Placement  🧠PIM
arxiv.org·3d
Pliable rejection sampling  🔍Miniselect
arxiv.org·4d
Protecting the Trace: A Principled Black-Box Approach Against Distillation Attacks  🛡️AI Security
arxiv.org·3d
Large Language Models Explore by Latent Distilling  🤖TVM
arxiv.org·2d
Non-Minimal Sampling and Consensus for Prohibitively Large Datasets  🎯Qdrant
arxiv.org·4d

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