Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:58.530774Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2501.08925.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:58.530774Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:58.266458Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:18:59.380251Z
64 of 64 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3c89830e-10d2-4c37-a231-a2a07db3797d · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Reference 1
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Observation 874763f3-8e68-4487-8ec9-6e6b1e88c452 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation GPT-4 Technical Report
Reference 2
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Observation a32f13e5-e1e4-4c02-9dfe-fd2616a85bcd · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Unresolved cited work
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Observation 0e8f0cb4-ded5-4b0e-949a-fed2354d680c · outbound
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Reference 4
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Observation 9b49b0bd-d869-49cd-8799-23cd752ef79b · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Claude 3.5 Sonnet
Reference 5
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Observation 9c4dc64a-6f48-4590-ac21-b9a8c12a10f2 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Bellemare, S
Reference 7
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Observation a6aabf19-a49c-4207-bac2-5613d30d567f · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Decoupling Exploration and Exploitation in Multi-Armed Bandits
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Disentangling Exploration of Large Language Models by Optimal Exploitation Efficient Sequential Decision Making with Large Language Models
Reference 9
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Observation cb8c605a-9b60-4b3f-bc7c-8f6cdb4b7128 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Exploration by Random Network Distillation
Reference 10
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Observation 8aaab6d8-369a-4d56-9696-92deea6f4c9d · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Chevalier-Boisvert, B
Reference 11
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Observation 809b04b4-4169-4548-80bd-e8bf0d814cc7 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Reference 12
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Observation 0a4710df-e13a-4980-bca6-e52c5ba6cd47 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation The Llama 3 Herd of Models
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Observation 486a8b31-40a1-4d5b-ad7c-0c363023fcea · outbound
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Observation fa4690cf-90ec-4c9a-9a49-e4cb0294a079 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Disentangling Exploration of Large Language Models by Optimal Exploitation
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Observation 1b64d18c-6134-4684-b248-88d1f45436a7 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Go-Explore: a New Approach for Hard-Exploration Problems
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Observation 80b17858-6ed7-4884-8aa1-45062e23bc9c · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 17
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Observation 1707be96-f40c-454b-af6a-dc5723a0ef14 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Reference 18
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Observation fda2ffc1-b5cb-4199-8ecb-6cc226be7279 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Reasoning with Language Model is Planning with World Model
Reference 19
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Observation 3a91a203-1efd-4d38-918f-ef197a4e667c · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Benchmarking the Spectrum of Agent Capabilities
Reference 20
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Observation 0778d96a-f16a-4e59-a6e0-40890b108f29 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation WESE: Weak Exploration to Strong Exploitation for LLM Agents
Reference 21
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Observation d723556d-ac2a-40f0-a59a-023ca1f118f8 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Large Language Models Cannot Self-Correct Reasoning Yet
Reference 22
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Observation 1f2968bd-a1b4-4896-afcf-b6590903dec3 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Mistral 7B
Reference 23
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Observation 189c52e6-20cc-48a8-8141-865ae5157366 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation MathPrompter: Mathematical Reasoning using Large Language Models
Reference 24
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Observation 26910b9d-19f2-4e9f-b9d3-109937cdb717 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Unresolved cited work
Reference 25
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Observation 9396374a-002a-4bdc-971f-95e14ebec8a8 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Reference 26
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Observation 4ab7306b-2fd0-40d9-820a-bbd08cc26b17 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Can large language models explore in-context?
Reference 27
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Observation 956721f7-63ce-4a66-ad9f-ff2cb0d6ce3f · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Unresolved cited work
Reference 28
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Observation d8cf034a-8ea2-4753-86a0-2fb3f50e44b9 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation In-context Reinforcement Learning with Algorithm Distillation
Reference 29
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Observation b8b17ff5-3e43-472c-b878-20add7c71e4f · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Küttler, N
Reference 30
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Observation 226d3299-5e91-47a9-81cf-b4170ee0e970 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Continuous control with deep reinforcement learning
Reference 31
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Observation 0c56a136-b35b-4cfb-80a5-29a92aa4bfd6 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation A Systematic Investigation of Commonsense Knowledge in Large Language Models
Reference 32
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Observation 65a75fa9-caf1-47ea-8989-419b5f6b589c · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Reference 33
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Observation d19a85b6-b431-4043-956d-92d26a775b71 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation AgentBench: Evaluating LLMs as Agents
Reference 34
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Observation 58486615-9a0c-4c02-8d55-6663342b4a54 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Accelerating exploration and representation learning with offline pre-training
Reference 35
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Observation 95902126-9dc4-42b6-a28b-47794fead0fe · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation LASER: LLM Agent with State-Space Exploration for Web Navigation
Reference 36
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Observation 5055f052-c402-4c9f-b2e6-6520b3950480 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
Reference 37
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Observation 31db0b48-286b-4995-9191-cdc66f0167ae · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Playing Atari with Deep Reinforcement Learning
Reference 38
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Observation e8bb7481-8b1d-4b95-ad1c-9b0f54f0edf7 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation OpenAI o1-mini
Reference 39
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Observation 049b0a02-6458-4065-a8e0-0c367025c292 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
Reference 40
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Observation 4b7b7de8-3265-4285-bca6-db07e16b2947 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Unresolved cited work
Reference 41
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Observation e1ded799-6ef0-4fd9-a49d-f408ec13da6a · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Reference 42
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Observation b0e487ac-8e5b-4eed-b7a0-6aecfcbd5b7c · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Sequential Planning in Large Partially Observable Environments guided by LLMs
Reference 43
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Observation 64042dd7-7d05-4964-b7d1-31ec9a94ba0c · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Pathak, P
Reference 44
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Observation e6abf4a5-82f5-48b3-b248-ead0e00d8691 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Reference 45
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Observation 75696448-fa7a-477f-9490-2dda829c9369 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
Reference 46
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Observation ff11d04f-a8a3-42ac-a124-2b9c94c822e6 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Schäfer, F
Reference 47
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Observation a36c3d67-9610-49f4-8e4f-4fd5afe62610 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Reference 48
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Observation 5acd3950-caa4-4486-abf0-d07a019efcbc · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Reference 49
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Observation d04cbe40-5f26-4459-b67c-d23c2cfe1eff · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Schmidhuber
Reference 50
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Observation 5e0ba4ff-9fd4-422e-9b81-d32da5d24a80 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
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Observation 48f9fbcf-9989-4e78-b061-5d47869b4d0e · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Shinn, F
Reference 52
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Observation 3742c7b5-f72c-4136-8590-d617fffcaaa3 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation Gemma 2: Improving Open Language Models at a Practical Size
Reference 53
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Disentangling Exploration of Large Language Models by Optimal Exploitation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 54
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Disentangling Exploration of Large Language Models by Optimal Exploitation Unresolved cited work
Reference 55
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Disentangling Exploration of Large Language Models by Optimal Exploitation Valmeekam, M
Reference 56
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Observation b6e492cf-cafb-4b0a-a162-0297a0209807 · outbound
Disentangling Exploration of Large Language Models by Optimal Exploitation SmartPlay: A Benchmark for LLMs as Intelligent Agents
Reference 57
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Disentangling Exploration of Large Language Models by Optimal Exploitation Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
Reference 58
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Disentangling Exploration of Large Language Models by Optimal Exploitation Unresolved cited work
Reference 59
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Disentangling Exploration of Large Language Models by Optimal Exploitation Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
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Disentangling Exploration of Large Language Models by Optimal Exploitation ReAct: Synergizing Reasoning and Acting in Language Models
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Disentangling Exploration of Large Language Models by Optimal Exploitation WebArena: A Realistic Web Environment for Building Autonomous Agents
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Disentangling Exploration of Large Language Models by Optimal Exploitation AgentTuning: Enabling Generalized Agent Abilities for LLMs
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Disentangling Exploration of Large Language Models by Optimal Exploitation Disentangling Exploration of Large Language Models by Optimal Exploitation
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