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PaperAgent

Sep 15, 2026 · Artificial Intelligence

Google's 46-Page Agentic Skills Survey: Unified Framework, 9-Stage Lifecycle, 100+ Systems Compared

Google publishes a 46-page systematic survey formalizing Agentic Skills as a six-tuple, defining a nine-stage lifecycle from discovery to security, and comparing 100+ systems across 10 large tables to establish the first unified systems foundation for reusable, executable LLM agent skills.

AI SystemsAgentic SkillsGoogle Research

0 likes · 11 min read

Google's 46-Page Agentic Skills Survey: Unified Framework, 9-Stage Lifecycle, 100+ Systems Compared

PaperAgent

Sep 13, 2026 · Artificial Intelligence

Trace as State: Simple Inference-Time Scaling Lifts DeepSeek V4 Pro 29%→82%

Z.ai and Tsinghua's Tang Jie propose Trace as State, a training-free inference-time scaling method that places reasoning traces before long context, achieving 26 out of 27 wins across models and benchmarks, boosting DeepSeek V4 Pro from 29.2% to 81.8% and GLM-5.2 to 100% on GraphWalks Parents.

DeepSeek V4 ProGLM-5.2GraphWalks

0 likes · 12 min read

Trace as State: Simple Inference-Time Scaling Lifts DeepSeek V4 Pro 29%→82%

PaperAgent

Sep 12, 2026 · Artificial Intelligence

Terence Tao & 25 Fields Medalists Warn: AI Math 'Breakthroughs' Cause Proof Indigestion

Fields Medalist Terence Tao and 24 peers condemn AI companies for bypassing peer review with hyped math 'solutions,' warning that uncontrolled AI-generated proofs will flood the field, cause 'proof indigestion,' and decouple problem-solving from the human understanding that defines mathematics.

AI in mathematicsFields MedalistsGoodhart's Law

0 likes · 14 min read

Terence Tao & 25 Fields Medalists Warn: AI Math 'Breakthroughs' Cause Proof Indigestion

PaperAgent

Sep 11, 2026 · Artificial Intelligence

Google's Procedural Graphs: Self-Evolving Execution Structures for LLM Agents

Google introduces Procedural Graphs, a self-evolving graph structure that explicitly encodes procedural knowledge for LLM agents, enabling them to locate, extract, and generate contextual guidance from a (procedure, relation, procedure) triplet graph, achieving 85% survival from 0% in CFO simulation and winning 21 of 24 model-benchmark combinations across 7 benchmarks and 4 LLMs.

Agent ReliabilityGraph-based ReasoningLLM agents

0 likes · 9 min read

Google's Procedural Graphs: Self-Evolving Execution Structures for LLM Agents

PaperAgent

Sep 9, 2026 · Artificial Intelligence

OpenAI Unveils AI Research Acceleration Metrics: A Three-Layer Measurement Framework

OpenAI publishes internal data on how AI agents accelerate research, introducing a three-layer measurement framework—usage, tasks, and results—showing median researchers spend $600/day on tokens, agents now handle 3.1 workdays per human day, task delegation spans six R&D stages but high-level planning remains human-led, and over half of successful 4-8 hour tasks still require human intervention.

AI AgentsAI research methodologyOpenAI

0 likes · 8 min read

OpenAI Unveils AI Research Acceleration Metrics: A Three-Layer Measurement Framework

PaperAgent

Sep 6, 2026 · Artificial Intelligence

Anthropic's Killer Multi-Agent Blueprint: One Loop, Skills, Harness & Snapshot Eval

Anthropic's production e-commerce and math-formalization agents share a unified architecture: a single-model loop with modular skills, tool calls to existing systems, code-enforced harness rules, and snapshot-based evaluation, enabling scalable, verifiable multi-agent systems.

AnthropicLLM EngineeringLean theorem prover

0 likes · 17 min read

Anthropic's Killer Multi-Agent Blueprint: One Loop, Skills, Harness & Snapshot Eval

PaperAgent

Sep 2, 2026 · Artificial Intelligence

Claude Fable 5.1 vs GPT-5.6 Sol: First‑hand Community Test Reveals Cost vs Detail Trade‑offs

In a one‑shot, five‑scene three.js benchmark, Claude Fable 5.1 delivered far richer visual detail at $5.69 per run but missed a basic water‑fill bug, while GPT‑5.6 Sol cost only $0.88, kept a consistent low‑poly style, and produced fully functional scenes.

AI Model ComparisonClaude FableGPT-5.6

0 likes · 5 min read

Claude Fable 5.1 vs GPT-5.6 Sol: First‑hand Community Test Reveals Cost vs Detail Trade‑offs

PaperAgent

Sep 1, 2026 · Artificial Intelligence

Google Publishes Two Agent Skill Papers in One Day: WikiSkill and SKILL.state Break New Ground

Google released two Agent Skill papers—WikiSkill and SKILL.state—introducing a structured knowledge layer for skill evolution and a state‑machine execution model that dramatically reduces prompt length, improves accuracy, and demonstrates strong cross‑model transfer and robustness across a suite of benchmarks.

Agent SkillLLMLong-Horizon Agents

0 likes · 13 min read

Google Publishes Two Agent Skill Papers in One Day: WikiSkill and SKILL.state Break New Ground

PaperAgent

Aug 31, 2026 · Artificial Intelligence

A First Systematic Review of Multimodal Agentic Frameworks

This article surveys multimodal agentic frameworks, proposing a taxonomy that maps modality‑fusion strategies to the five core agent modules (perception, reasoning, planning, memory, action), evaluates four application domains across five performance dimensions, and highlights architectural trade‑offs and benchmark results.

AI AgentsAction PlanningAgentic Frameworks

0 likes · 15 min read

A First Systematic Review of Multimodal Agentic Frameworks

PaperAgent

Aug 30, 2026 · Artificial Intelligence

Google Unveils How Gemini Supercharges AI Research

The article details Google's internal Co‑Scientist system that leverages Gemini to evolve hypotheses, generate and validate experimental code, and produce multi‑objective papers with safety checks, achieving superior results across chemistry, biology, and computer‑science benchmarks while dramatically cutting hallucinations and plagiarism.

AI AgentsAI safetyCo-Scientist

0 likes · 9 min read

Google Unveils How Gemini Supercharges AI Research