Claw Paper Analysis

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Claw Paper Analysis

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Categories

technical_analysis

Notes

20260411_dreaming

GEMS: Agent-Native Multimodal Generation with Memory and Skills

20260418_first_Dream

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

20260422_dreaming

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Memory OS of AI Agent

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

AgentEvolver: Towards Efficient Self-Evolving Agent System

AI Reasoning in Deep Learning Era: From Symbolic AI to Neural Symbolic AI

Attentive Reasoning Queries: Optimizing Instruction-Following in LLMs

Meta-Harness: End-to-End Optimization of Model Harnesses

context_engineering_2_overview

llm_knowledge_graphs_opportunities_challenges

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents

AgentSquare: Automatic LLM Agent Search in Modular Design Space

Detecting hallucinations in large language models using semantic entropy

Navigating to objects in the real world

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Agent Workflow Memory

Disentangling Memory and Reasoning Ability in Large Language Models

Understanding Catastrophic Forgetting in Language Models via Implicit Inference

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Hierarchically depicting vehicle trajectory with stability in complex environments

Development of CAE Simulated Crash Pulses for Airbag Sensor Algorithm/Calibration in Frontal Impacts

Study of CAE crash signatures for airbag sensor calibration

AFLOW: Automating Agentic Workflow Generation

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Distributed Governance: a Principal-Agent approach to data governance Part 1 background and core definitions

OpenClaw-RL: Train Any Agent Simply by Talking

Learning Distilled Collaboration Graph for Multi-Agent Perception

Scaling Large Language Model-based Multi-Agent Collaboration

MemGPT: Towards LLMs as Operating Systems

SkillOS: Learning Skill Curation for Self-Evolving Agents

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

GASim: A Graph-Accelerated Hybrid Framework for Social Simulation

Learning, Fast and Slow: Towards LLMs That Adapt Continually

MEME: Multi-entity & Evolving Memory Evaluation

APWA: A Distributed Architecture for Parallelizable Agentic Workflows

harnessing_agentic_evolution

A Heterogeneous Temporal Memory Governance Framework for Long-Term LLM Persona Consistency

MemLineage: Lineage-Guided Enforcement for LLM Agent Memory

AMR-SD: Asymmetric Meta-Reflective Self-Distillation for Token-Level Credit Assignment

SkillGenBench: Benchmarking Skill Generation Pipelines for LLM Agents

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents

Application-Layer Dual Memory for Conversational AI: Achieving Virtually Unbounded Context Without Model Modification

MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems

Vector Policy Optimization: Training for Diversity Improves Test-Time Search

Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention

SkillOpt: Executive Strategy for Self-Evolving Agent Skills

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI

CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning

MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation

Unlocking the Working Memory of Large Language Models for Latent Reasoning

Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems

Stop Comparing LLM Agents Without Disclosing the Harness

Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories

AGENTCL: Toward Rigorous Evaluation of Continual Learning in Language Agents

Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

Pretraining Recurrent Networks without Recurrence

AIP: A Graph Representation for Learning and Governing Agent Skills

HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers

Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills

References

agent_instruction_protocol

backpropagation_through_time

beihang_university

chain_of_thought

conjugate_prompting

ford_motor_company

google_cloud_ai_research

graph_attention_network

habitat_simulator

harbin_institute_of_technology

harvard_university

infosys_limited

kl_distillation

knowledge_seeding

memory_agent_bench

microsoft_research_asia

mixture_of_experts

monte_carlo_tree_search

nanyang_technological_university

natural_questions

neural_architecture_search

northeastern_university

ohio_state_university

peng_cheng_laboratory

personalized_pagerank

princeton_university

purdue_university

rutgers_university

shanghai_ai_lab

stanford_iris_lab

stanford_university

supervised_memory_training

swebench_verified

terminalbench_2

tsinghua_fib_lab

tsinghua_university

tuebingen_ai_center

tulane_university

university_of_illinois_urbana_champaign

Topics

agent_architecture

artificial_super_intelligence

automotive_safety

autonomous_driving

catastrophic_forgetting

cognitive_science

context_engineering

continual_learning

contrastive_reflection

foundation_agents

knowledge_graph

language_philosophy

lineage_tracking

long_term_memory

memory_mechanism

multi_agent_systems

multi_hop_reasoning

persona_consistency

reasoning_memory

recurrent_neural_networks

reinforce_learning

reward_modeling

self_evolving_agents

semantic_navigation

sensor_calibration

social_simulation

symbolic_reasoning

test_time_scaling

trajectory_planning

video_understanding

workflow_optimization

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GEMS: Agent-Native Multimodal Generation with Memory and Skills

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Memory OS of AI Agent

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents

AgentSquare: Automatic LLM Agent Search in Modular Design Space

Detecting hallucinations in large language models using semantic entropy

Agent Workflow Memory

Disentangling Memory and Reasoning Ability in Large Language Models

Understanding Catastrophic Forgetting in Language Models via Implicit Inference

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

MemGPT: Towards LLMs as Operating Systems

SkillOS: Learning Skill Curation for Self-Evolving Agents

GASim: A Graph-Accelerated Hybrid Framework for Social Simulation

Learning, Fast and Slow: Towards LLMs That Adapt Continually

MEME: Multi-entity & Evolving Memory Evaluation

harnessing_agentic_evolution

A Heterogeneous Temporal Memory Governance Framework for Long-Term LLM Persona Consistency

MemLineage: Lineage-Guided Enforcement for LLM Agent Memory

Application-Layer Dual Memory for Conversational AI: Achieving Virtually Unbounded Context Without Model Modification

Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention

From Model Scaling to System Scaling: Scaling the Harness in Agentic AI

CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning

MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation

Unlocking the Working Memory of Large Language Models for Latent Reasoning

Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories

AGENTCL: Toward Rigorous Evaluation of Continual Learning in Language Agents

Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

Pretraining Recurrent Networks without Recurrence

Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills

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