Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:54:43.782739Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.02483.
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 2026-08-16T00:54:43.782739Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
35 of 35 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation cbc4e72d-99b4-48b5-9bb2-99c249f151c1 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Open x-embodiment: Robotic learning datasets and rt-x models: Open x- embodiment collaboration 0,
Reference 1
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Observation 7be07711-2ff7-4ba6-9a17-b9e057de5c98 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Universal value func- tion approximators,
Reference 2
Source-reported events for the cited work
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Observation 9c494614-e082-4a82-91ec-90c93df8ca6b · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Learning agile soccer skills for a bipedal robot with deep reinforcement learning,
Reference 3
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Observation b8b3681f-b9c1-46ea-a421-4e073e45a213 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Deep reinforcement learning that matters,
Reference 4
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Observation 58fb2ed7-a9a8-48aa-b4ed-7966fd36e6a9 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Discovering reinforcement learning algorithms,
Reference 5
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Observation 5ccd08d0-c3ea-4bd8-9f37-01073c09918b · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Legged robots that keep on learning: Fine-tuning locomotion policies in the real world,
Reference 6
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Observation 67179b22-4a15-4098-8083-a852534a9cc1 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Reinforcement learning for reduced-order models of legged robots,
Reference 7
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Observation 022deb18-6bbb-4fc2-950a-1df922ac3a0b · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning H-index: Visual reinforcement learning with hand-informed representations for dexterous manipulation,
Reference 8
Source-reported events for the cited work
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Observation b44dcc3b-7eb9-4e7d-acfc-d256f11d4c80 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Dexterous im- itation made easy: A learning-based framework for efficient dexterous manipulation,
Reference 9
Source-reported events for the cited work
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Observation 33dd97ec-da57-427c-9b08-377bbd68636a · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Bi-dexhands: Towards human-level bimanual dexterous manipulation,
Reference 10
Source-reported events for the cited work
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Observation f0574433-8b35-4a70-bf97-801eb0f0fd29 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Learning multi-arm manipulation through collaborative teleoperation,
Reference 11
Source-reported events for the cited work
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Observation 11424681-f762-44b8-8b1c-2c377687f488 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Playing Atari with Deep Reinforcement Learning
Reference 12
Source-reported events for the cited work
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Observation 05322926-24ee-4cbf-8c5e-e58a67702019 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Proximal Policy Optimization Algorithms
Reference 13
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Observation c2492b78-cfe9-4607-b515-4a97fea48006 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Hybrid reward architecture for reinforcement learning,
Reference 14
Source-reported events for the cited work
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Observation 429525b5-7e31-4838-a362-a1ae9311e760 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Reward- adaptive reinforcement learning: Dynamic policy gradient optimization for bipedal locomotion,
Reference 15
Source-reported events for the cited work
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Observation a99c9a18-1d7a-4935-a394-265f42c82970 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Eureka: Human-Level Reward Design via Coding Large Language Models
Reference 16
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Observation 40b369bd-4e7b-41ac-b9e3-1f1f630586b8 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Horde: A scalable real-time architecture for learn- ing knowledge from unsupervised sensorimotor interaction,
Reference 17
Source-reported events for the cited work
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Observation 7f22f43d-f9ae-4570-9740-53a17689252a · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Continuous control with deep reinforcement learning
Reference 18
Source-reported events for the cited work
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Observation 41c75371-4942-4334-9b84-77984b53718f · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning A survey on integration of large language models with intelligent robots,
Reference 19
Source-reported events for the cited work
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Observation 36caecda-11fb-4d92-9bf4-4ce3a694632a · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Chain-of-thought prompting elicits reasoning in large language models,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a183650-6279-4444-add1-1409a6ce4935 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Reference 21
Source-reported events for the cited work
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Observation 829fcc76-1639-4aee-8eae-06d6b909b9ca · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Lever- aging pre-trained large language models to construct and utilize world models for model-based task planning,
Reference 22
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Observation a745327b-295c-4406-b6d6-958ce422ff24 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Text2motion: From natural language instructions to feasible plans,
Reference 23
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Observation a33a2b9a-6296-42ca-b137-51740b31171f · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Progprompt: Generating situated robot task plans using large language models,
Reference 24
Source-reported events for the cited work
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Observation 961f2aee-d667-4294-8c22-2ef4fe8c6951 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Code as policies: Language model programs for em- bodied control,
Reference 25
Source-reported events for the cited work
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Observation 11a509e6-53b0-4e6a-8e95-fbe315ea49be · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Language to Rewards for Robotic Skill Synthesis
Reference 26
Source-reported events for the cited work
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Observation 3a911811-6640-401e-a8cb-8621f6bce29e · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Reference 27
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Observation 7ad524be-6e0c-4b03-9e89-21f3ebdfc227 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning RT-1: Robotics Transformer for Real-World Control at Scale
Reference 28
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Observation be46138e-83b1-42da-a143-f3fc8c672178 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Language models as zero-shot trajectory generators,
Reference 29
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Observation 3a1b1363-fbb6-4bc4-b161-395902cf2e4a · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Roco: Dialectic multi-robot col- laboration with large language models,
Reference 30
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Observation a414e3f0-d429-4d25-983d-aa9ac84349b1 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Reference 31
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Observation a5c51b19-5e81-4d5b-acb3-07f223edf92a · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Interactive planning using large language models for partially observable robotic tasks,
Reference 32
Source-reported events for the cited work
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Observation e925e5d6-4fe9-4282-a77e-9ecd7c08064f · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation
Reference 33
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Observation d6bdb82f-9553-40d2-a7f1-02d376909e91 · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Reference 34
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Observation fc26b991-d232-4ef3-b8bf-d16a1277c85d · outbound
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning Explainable reinforcement learning via reward decomposition,
Reference 35
Source-reported events for the cited work
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No inbound Pith citation observations are available.