Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T04:41:28.564104Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2606.23686.
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 2026-06-29T04:41:28.564104Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models $\pi^{*}_{0.6}$: a VLA That Learns From Experience
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models IEEE Transactions on Biomedical Engineering59(8), 2126–2136 (2012)
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Observation 6f0a53f0-2ede-4e3c-839a-f801b2ff2ae9 · outbound
LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models IEEE Robotics and Automation Letters5(2), 3019– 3026 (2020)
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Observation 48f034fe-6462-4380-a1b1-8463f0ba4f4e · outbound
LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models RynnVLA-001: Using human demonstrations to improve robot manipulation
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models Rl-100: Performant robotic manipulation with real-world reinforcement learning
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models In: CoRL (2024)
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Observation 25fc6103-4f3d-47a8-865b-2c1ba6ae56a1 · outbound
LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models Gr-rl: Going dexterous and precise for long-horizon robotic manipulation
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models NeurIPS36, 44776–44791 (2023)
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models IEEE Robotics and Automation Letters7(3), 7327–7334 (2022)
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Observation 234f22e1-9476-4fe1-b20d-d1ff2ec64910 · outbound
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation
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LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
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