The Archive

Data-driven anomaly detection flags unusual patient-management actions in EHR systems to reduce clinical errors.

Adaptive policy selection method improves offline-to-online RL by combining off-policy and online evaluation under interaction budgets.

Multi-view evidential reasoning framework for mental health prediction from text with calibrated uncertainty estimation.

SHAP-based feature selection and hybrid boosting classify driving behaviors from multimodal physiological signals (EEG, EMG, GSR).

Wasserstein Gradient Flow analysis characterizes Generative Modeling via Drifting (GMD) as fixed-point optimization in probability measure space.

Analysis of LLM jailbreak vulnerability without structured prompts reveals robustness gaps in current safety defenses.

Manifold steering interventions causally link neural activation geometry to model behavior via structured representation space.

Finite-width signal propagation analysis shows when infinite-width approximation breaks down in long linear recurrences.

Proposes Prefix Sampling to optimize RL training efficiency by maintaining 50% pass rate—the regime maximizing reward signal and entropy in agentic tasks like SWE-bench.

LineRides framework enables bicycle robot to learn complex stunts via line-guided RL without demonstrations, using spatial guidelines and sparse keyframe constraints.

Framework for materials science dataset construction balancing targeted property optimization against preservation of untargeted outcomes via diversity-aware selection.

Introduces Concept Field method to detect hallucination and measure novelty in LLM outputs by modeling semantic drift in text corpora using sentence embeddings.

Unified theoretical framework for distributional regret bounds in bandits and episodic RL, with UCBVI-style algorithm achieving gap-independent guarantees.

Anthropic partners with SpaceX for compute capacity; removes Claude Code peak-hour limits and raises API rate limits for Opus.

Analysis of 100 most popular hardware configurations for local LLM inference on Hugging Face reveals deployment patterns and infrastructure preferences.

Memini: associative memory system with multi-timescale dynamics for continual knowledge updating in deployed LLMs without explicit management.

Bayesian framework for active view selection in 3D reconstruction using posterior inference over implicit surfaces.

Doubly sparse regularization exploiting Gaussian graphical model structure for high-dimensional regression.

Announced in the code w/claude programme. Hope to see claude back on top especially with the new rate limits!

Driver-WM: latent world model for predicting driver reactions during L2/L3 automation transitions using in-cabin behavioral dynamics.

Think-aloud traces improve automated cognitive model discovery beyond behavior-only constraints in risky decision-making tasks.

Reddit speculation about Claude usage limit increases allegedly tied to SpaceX partnership; unverified claim with screenshot evidence.

https://x.ai/news/anthropic-compute-partnership

Automated pipeline for auditing unexpected behavioral side-effects of LLM interventions through contrastive multi-token generation analysis.

User reports Claude's rate limit counter reset unexpectedly from 99% to 0%.

Link: x.com

Anthropic partners with SpaceX for compute capacity; removes Claude Code peak-hour limits and raises API rate limits for Opus.

Gated multimodal model combining EPC tabular data and assessor text to predict building energy efficiency scores.

ORDERED: variance reduction for unsupervised domain adaptation via optimal data reordering during training.