From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents | Paper Citation Record

Observation f7c6690f-7b22-470c-a7a1-cf18bbcb24b6 · outbound

This paper cites EvoSkill: Automated Skill Discovery for Multi-Agent Systems.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents EvoSkill: Automated Skill Discovery for Multi-Agent Systems

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Observation f7df8369-a1aa-45e5-8129-e56bf0bfc679 · outbound

This paper cites Equipping agents for the real world with agent skills, October 2025.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Equipping agents for the real world with agent skills, October 2025

Reference 2

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This paper cites Compress to impress: Unleashing the potential of compressive memory in real-world long-term conversations.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Compress to impress: Unleashing the potential of compressive memory in real-world long-term conversations

Reference 3

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Cua-skill: Develop skills for computer using agent

Reference 4

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This paper cites BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

Reference 5

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Observation c67a2a37-dffb-4bff-87b7-9908c712ebb4 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 6

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This paper cites Omni-math: A universal olympiad level mathematic benchmark for large language models.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Omni-math: A universal olympiad level mathematic benchmark for large language models

Reference 7

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Observation eb49af57-36d1-47ee-9866-823d8596d4ff · outbound

This paper cites Internalizing agency from reﬂective experience.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Internalizing agency from reﬂective experience

Reference 8

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Observation 5541281c-7da8-4d30-a6cb-fdc4f05af6d1 · outbound

This paper cites Samule: Self-learning agents enhanced by multi-level reﬂection.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Samule: Self-learning agents enhanced by multi-level reﬂection

Reference 9

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This paper cites Hipporag: Neurobiologically inspired long-term memory for large language models.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Hipporag: Neurobiologically inspired long-term memory for large language models

Reference 10

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Observation 9ee4f95b-f255-41af-9d19-e3b4bf216f4e · outbound

This paper cites OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving

Reference 11

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This paper cites Evermemos: A self-organizing memory operating system for structured long-horizon reasoning.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Evermemos: A self-organizing memory operating system for structured long-horizon reasoning

Reference 12

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Observation 12f9abd5-f9f7-4a6b-b8f1-3196026ed967 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 13

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This paper cites Agentic proposing: Enhancing large language model reasoning via compositional skill synthesis.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Agentic proposing: Enhancing large language model reasoning via compositional skill synthesis

Reference 14

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Observation 1fe52493-5596-4643-86ec-de28a56c0824 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? In International Conference on Learning Representations, volume 2024, pages 54107–54157, 2024.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Swe-bench: Can language models resolve real-world github issues? In International Conference on Learning Representations, volume 2024, pages 54107–54157, 2024

Reference 15

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This paper cites Memory os of ai agent.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Memory os of ai agent

Reference 16

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This paper cites Skillnet: Create, evaluate, and connect ai skills.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Skillnet: Create, evaluate, and connect ai skills

Reference 17

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Observation 9752b02a-cb13-43b7-839a-63cf596800e7 · outbound

This paper cites Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

Reference 18

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Observation af6f94ba-1581-4f4c-933b-c9e2180aed82 · outbound

This paper cites Seeing, listening, remembering, and reasoning: A multimodal agent with long-term memory.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Seeing, listening, remembering, and reasoning: A multimodal agent with long-term memory

Reference 19

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This paper cites Self-reﬁne: Iterative reﬁnement with self-feedback.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Self-reﬁne: Iterative reﬁnement with self-feedback

Reference 20

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Observation 9b2759ac-ee89-44e1-a5b4-3aa0ce684b49 · outbound

This paper cites Eval- uating very long-term conversational memory of llm agents.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Eval- uating very long-term conversational memory of llm agents

Reference 21

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Observation c4bc95f6-2965-4b6a-829b-8c0d1c04ab9f · outbound

This paper cites Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents

Reference 22

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This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 23

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Observation 44851abf-275d-4a97-b6d2-811026313c89 · outbound

This paper cites GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Reference 24

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This paper cites Autoreﬁne: From trajectories to reusable expertise for continual llm agent reﬁnement.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Autoreﬁne: From trajectories to reusable expertise for continual llm agent reﬁnement

Reference 25

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This paper cites Reﬂexion: Language agents with verbal reinforcement learning.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Reﬂexion: Language agents with verbal reinforcement learning

Reference 26

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents H-mem: Hierarchical memory for high-eﬃciency long-term rea- soning in llm agents

Reference 27

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This paper cites Voyager: An open-ended embodied agent with large language models.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Voyager: An open-ended embodied agent with large language models

Reference 28

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This paper cites Preﬂect: From retrospective to prospective reﬂection in large language model agents.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Preﬂect: From retrospective to prospective reﬂection in large language model agents

Reference 29

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This paper cites Reinforcement Learning for Self-Improving Agent with Skill Library.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Reinforcement Learning for Self-Improving Agent with Skill Library

Reference 30

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Memex (rl): Scaling long-horizon llm agents via indexed experience memory

Reference 31

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Agent workﬂow memory

Reference 32

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 33

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Observation ca7c57d5-4bc7-4136-b1b2-da7833cb19e8 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents A-MEM: Agentic Memory for LLM Agents

Reference 34

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This paper cites Autoskill: Experience-driven lifelong learning via skill self-evolution.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Autoskill: Experience-driven lifelong learning via skill self-evolution

Reference 35

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents G-memory: Tracing hierarchical memory for multi-agent systems

Reference 36

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Memgen: Weaving generative latent memory for self-evolving agents

Reference 37

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Observation 46aa2717-b3dc-4392-98e0-5b19c164f939 · outbound

This paper cites MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 38

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Observation 15343075-8db0-4e4d-9fd9-f3ba4e5d9947 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

Reference 39

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Observation 98cca2ef-7f58-4008-b5de-00f9612e0469 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents SkillFlow:Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents

Reference 40

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Expel: Llm agents are experiential learners

Reference 41

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Observation fa3825fc-bafc-41cb-b0d1-a2ac5d4a7fe1 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Language agent tree search uniﬁes reasoning, acting, and planning in language models

Reference 42

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Reference 43

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

Reference 44

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Unresolved cited work

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Observation 455ee12d-56b4-4a58-9cd5-f6137fa58279 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Unresolved cited work

Reference 46

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Observation ee1b874c-5dae-4536-a424-17888c5509ee · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents Unresolved cited work

Reference 47

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Observation 5fccca41-c9b3-4df1-afa8-7d1fc69923f4 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents I should do better

Reference 48

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents goal_achievement

Reference 49

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents process_quality

Reference 50

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Observation c8f2e360-63d1-41c7-8279-ded0a62d0ad0 · outbound

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From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents user_satisfaction

Reference 51

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