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SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification

arXiv:2510.10232v2 Announce Type: replace-cross Abstract: Recursive self-modification is increasingly central in AutoML, neural architecture search, and adaptive optimization, yet no existing framewor

safetyarxiv-cs-ai

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Sharp Reconstruction Bounds for Autoencoders Using the Same Forward Map

DGX agent

arXiv:2609.20333v1 Announce Type: new Abstract: We study reconstruction in autoencoders that apply the same forward map before and after setting the observed coordinates to zero. For equal odd input a

researcharxiv-cs-lg

18 Sept 2026

Sharpness-Aware Minimization (SAM) Improves Classification Accuracy of Bacterial Raman Spectral Data Enabling Portable Diagnostics

arXiv:2609.19453v1 Announce Type: new Abstract: Antimicrobial resistance is expected to claim 10 million lives per year by 2050, and resource-limited regions are most affected. Raman spectroscopy is a

Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation

arXiv:2609.20700v1 Announce Type: new Abstract: Episodic test-time adaptation resets a frozen segmenter to source weights M_0 on each case and adapts for a fixed step count. A fixed horizon conflates

Should you read the code, is RAG dead, and did Skills kill MCP?

We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast. The post Should you read the code, is RAG dead, and did Skills kill MCP? appeared first on The GitHub B

agentsgithub-ai-blog

Applications

Sim-and-Human Co-training for Data-Efficient and Scene-Generalizable Bimanual Manipulation

arXiv:2601.19406v2 Announce Type: replace-cross Abstract: Real-robot demonstrations are prohibitively expensive, while simulation data and real-world human demonstrations are both scalable but each le

applicationsarxiv-cs-ai

SIMLIFE: Pattern Understanding for Long-Horizon Human-Agent Partnership

arXiv:2609.19610v1 Announce Type: new Abstract: Understanding humans over long horizons requires agents to infer not only what people need in the moment, but also how routines form, why they repeat, a

SkillAA: Attribution-Guided Skill-Graph Updating with Targeted Validation and Rollback

arXiv:2609.20455v1 Announce Type: new Abstract: External skills provide domain procedures without parameter updates, but existing methods often edit skills directly from failed rollouts without struct

SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation

arXiv:2609.20648v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models are a class of generalist robot policies that map camera images and language instructions directly to robot actions.

safetyarxiv-cs-ro

SLAMSqueezeBench: Comparing SLAM Systems under Resource Constraints

arXiv:2609.19533v1 Announce Type: new Abstract: Simultaneous localization and mapping (SLAM) is one of the services running on an autonomous robot. It is typically run to assist other tasks such as pl

agentsarxiv-cs-ro

SlugTrails: An Egocentric Benchmark for Floor Plan Localization in Large Buildings

arXiv:2609.19876v1 Announce Type: new Abstract: Floor-plan-based indoor visual localization enables infrastructure-free positioning, but most methods are developed and evaluated in small residential e

Small Enough to Know Everything: The Fully-Enumerable Transformer as an Instrument for the Science of Delayed Generalization

arXiv:2609.20166v1 Announce Type: new Abstract: Tiny transformers trained on fully-enumerable tasks occupy an unusual position in the study of grokking: every input can be evaluated, every generalizat

Smart Insole Human Activity Recognition for Continuous Monitoring in Elderly Care

arXiv:2609.19359v1 Announce Type: new Abstract: Falls in older adults are often preceded by changes in mobility, balance, and postural transitions. This paper presents a wireless smart insole platform

SmellDiffusion: Diffusion-Based Quadruped Navigation with Olfactory Scene Graphs

arXiv:2609.20624v1 Announce Type: new Abstract: A robot sent to a named gas leak must preserve gas identity, estimate the source, and navigate to the resulting goal. We present SmellDiffusion, a simul

researcharxiv-cs-ro

SnapPhysics: A Physics-Aware Scene Graph from a Single View for Interactive Mixed Reality Scenes

arXiv:2609.19815v1 Announce Type: new Abstract: We propose SnapPhysics, a training-free framework that reconstructs 3D objects and estimates their physical properties such as mass, friction, and cente

So many ways to do this safely. But cosplay is more fun!!

So many ways to do this safely. But cosplay is more fun!! These kind of Agentic AI Swarm-Hacks are fully testable and defensible in a properly sandboxed and air-gapped environment docker, virtualenv,

agentsgary-marcus--x

Social Simulacra in the Wild: AI Agent Communities on Moltbook

arXiv:2603.16128v3 Announce Type: replace Abstract: As autonomous LLM-based agents increasingly populate social platforms, understanding the dynamics of AI-agent communities becomes essential for both

agentsarxiv-cs-cl

Socialized UAV Cross-Task Learning: Towards Cross-Granularity Collaboration through Hierarchical Interaction

arXiv:2609.19867v1 Announce Type: new Abstract: Joint learning across heterogeneous tasks is often treated as task coupling through feature sharing, distillation, or auxiliary supervision. However, in

SoftTri: Smooth Triangular Membership Functions for Adaptive Fuzzy Inference Systems

arXiv:2609.20194v1 Announce Type: cross Abstract: Triangular membership functions (MFs) are widely used in fuzzy systems because of their interpretability, low parameterization complexity, and strong

SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes

arXiv:2609.19705v1 Announce Type: cross Abstract: Autonomous large language model (LLM) agents are moving rapidly into high-stakes domains, yet existing agentic-AI security studies remain largely doma

agentsarxiv-cs-ai

SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness

arXiv:2609.20519v1 Announce Type: new Abstract: As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands from isolated predictions into lon

Solving Minimum Span Antibandwidth and Cyclic Antibandwidth Labeling Problems

arXiv:2609.20091v1 Announce Type: new Abstract: The Antibandwidth and Cyclic Antibandwidth problems are NP-hard graph labeling problems that aim to maximize the minimum (cyclic) distance between label

Industry

Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown (Reuters)

Reuters: Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown — Anthropic is considering roll

industrytechmeme

Sources: Anthropic expects to generate 100B+ in annualized revenue this year, up from 65B as of July, as it moves ahead with its IPO amid the AI safety debate (New York Times)

New York Times: Sources: Anthropic expects to generate 100B+ in annualized revenue this year, up from 65B as of July, as it moves ahead with its IPO amid the AI safety debate — The company is expected

safetytechmeme

Sources: Anthropic plans to stage its IPO in November, later than many investors expected; the decision was made before ex-Anthropic researcher Jacob Coxon left (Wall Street Journal)

Wall Street Journal: Sources: Anthropic plans to stage its IPO in November, later than many investors expected; the decision was made before ex-Anthropic researcher Jacob Coxon left — Investors had ex

model-releasestechmeme

Spatial-Semantic Uncertainty in VLM-Based Target Search: Balancing Exploration and Identification

arXiv:2609.20443v1 Announce Type: new Abstract: Robots searching for a target from a natural-language description must determine not only where to search, but also which observed candidate is the desi

researcharxiv-cs-ro

Special Lagrangian cones in Deep Learning

arXiv:2609.20159v1 Announce Type: cross Abstract: We introduce a matrix generalization of the cone of Harvey and Lawson and prove that it is an exact special Lagrangian manifold. We further show that

SplashSplat: Reconstructing Splashing Liquids from Real-World Multi-View Videos

arXiv:2609.20818v1 Announce Type: new Abstract: A splash lives for a fraction of a second: sheets tear into ligaments and droplets, appearance is view-dependent and nearly textureless, and little pers

Stable Movement for Nondual Lipschitz Convex Optimization: Efficiency and Nearly Optimal Oracle Rates

arXiv:2609.20701v1 Announce Type: cross Abstract: We study efficient algorithms for realizing the first-order oracle complexity of optimization of G-Lipschitz convex functions with respect to the ell_

Stable Policy Learning

arXiv:2609.19418v1 Announce Type: cross Abstract: In evidence-based policymaking, typically one experimental sample is observed, then a learned policy recommendation is implemented at scale. Policies

safetyarxiv-cs-lg

StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation

arXiv:2609.20791v1 Announce Type: new Abstract: Hierarchical planning frameworks combine skills from multiple robot control policies for long-horizon task execution, where determining when to terminat

safetyarxiv-cs-ro

STAR: Structure-aware Test-time Adaptation for diffusion-based light field Reconstruction

arXiv:2609.19747v1 Announce Type: new Abstract: Light field (LF) reconstruction from limited and noisy focal stack (FS) measurements is a highly ill-posed inverse problem. Although the LF-to-FS imagin

State-Change Learning for Prediction of Future Events in Endoscopic Videos

arXiv:2510.12904v2 Announce Type: replace Abstract: Surgical future prediction, driven by real-time AI analysis of surgical video, is critical for operating room safety and efficiency. It provides act

safetyarxiv-cs-cv

Steering Equilibrium Selection in Regularized Self-Play via the Reference Policy

arXiv:2609.19820v1 Announce Type: new Abstract: Regularized self-play -- the family behind DeepNash's Stratego play -- drives a two-player zero-sum policy to a Nash equilibrium by best-responding to a

safetyarxiv-cs-ai

Applications

Steering the Compass: Aligning Dynamic Psychological Counseling Conversations with Cognitive Behavioral Therapy Strategies

arXiv:2609.20565v1 Announce Type: new Abstract: Recent advancements in large language models have revolutionized the field of psychological counseling, especially in the context of Cognitive Behaviora

applicationsarxiv-cs-cl

Stiefel Attention: When the Geometry of Transformer Projection Matrices Dominates Optimizer Choice---and When It Does Not

arXiv:2609.19363v1 Announce Type: new Abstract: The query and key projections WQ,WK in attention are almost always trained by Euclidean optimizers with no constraint on their geometry. We constrain th

Local Ai

still doesn’t get what Jev is…..is it just a more generalised BERT?

Looking at jev launch website and demo video on x.com…. it seems like it’s a very intelligent classifier with custom prompt and custom criteria instruction reading capabilities. It can do well defined

local-air-localllama

Local Ai

Still on the Jev waitlist? I hosted OpenJev. It's free, go play with it

TypeSafe announced Jev on Tuesday: you give it data plus typed questions (yes/no, pick-one, 0–N scale) and it returns a probability for every option, crazy fast. I signed up and then refreshed my inbo

local-air-localllama

Applications

Stop Removing Stopwords: How an Inherited Preprocessing Default Distorts Legal Text-as-Data

arXiv:2609.19153v1 Announce Type: new Abstract: Empirical legal scholarship increasingly treats judicial text as data, and much of it still runs on sparse, interpretable pipelines -- TF-IDF features a

applicationsarxiv-cs-cl

STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks

arXiv:2609.20347v1 Announce Type: cross Abstract: LEO satellite networks feature dynamic topologies, time-varying links, and diverse service requirements, which make conventional routing schemes diffi

safetyarxiv-cs-ai

Strategic Transformer for Resource-Constrained Multi-Object Navigation in Ultra-Large-Scale Environments

model-releasesarxiv-cs-ro

arXiv:2609.20227v1 Announce Type: new Abstract: Resource-constrained multi-object navigation in vast indoor environments (>2,000ext{ m}^2) poses significant challenges for efficiency and strategic pla

Stress-testing Alignment Midtraining

arXiv:2609.20412v1 Announce Type: cross Abstract: When aligning frontier models through post-training techniques, it is not possible to directly demonstrate all of the behaviours we want a model to ex

Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models

arXiv:2602.11244v2 Announce Type: replace Abstract: Video-Language Models (VidLMs) achieve strong benchmark scores, yet these scores often hide whether models use the video at all. We show that VidLM

Stringological sequence prediction III: layered ziplines and a tradeoff between efficiency and expressivity

arXiv:2609.19940v1 Announce Type: cross Abstract: In previous papers, we began the study of sequence prediction algorithms adapted to stringological word complexity measures. In particular, we defined

Structured Four-Stage Legal Translation: From Natural-Language Traffic Rules to PROLOG

arXiv:2609.20334v1 Announce Type: new Abstract: Traffic regulations are written for human interpretation and therefore rely on shared background knowledge and flexible phrasing, which inherently intro

Subdomain-aware representation compression for pretrained image embeddings

arXiv:2609.20213v1 Announce Type: new Abstract: Dimensionality reduction is a well-known technique for improving space efficiency, typically applied uniformly across an entire dataset. This paper inve

Subliminal Prompting Beyond Static Geometry: Causal Depth and Multi-Token Confounds

model-releasesarxiv-cs-cl

arXiv:2609.19149v1 Announce Type: new Abstract: Subliminal learning shows that language models can transmit a hidden trait through outputs that appear unrelated to it. One proposed explanation, token

Sufficient Decision Proxies for Decision-Focused Learning

arXiv:2505.03953v3 Announce Type: replace Abstract: When solving optimization problems under uncertainty with contextual data, utilizing machine learning to predict the uncertain parameters' values is