Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:08:01.278349Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.10698.
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 2026-08-10T19:08:01.278349Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3c47d0a7-6ebf-4290-9fe1-a06c897336a8 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Deep learning
Reference 1
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An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Adaptive modular neural control for online gait synchronization and adaptation of an assistive lower-limb exoskeleton
Reference 2
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An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Adaptive bipedal robot walking on industrial pipes under neural multimodal locomotion control: Toward robotic out-pipe inspection
Reference 3
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Observation e5410e44-b6c2-4396-916b-65acd969a200 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning why should i trust you?
Reference 4
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Observation 3fe68be7-e4dd-42a5-b17c-610209b25690 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Multi-expert learning of adaptive legged locomotion
Reference 5
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Observation ed4862d4-f3f8-471b-968c-e054324711f7 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Rapid locomotion via reinforcement learning
Reference 6
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Observation 7a56d4c6-be40-4dd0-ad2e-135f020d00e9 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Learning quadrupedal locomotion on deformable terrain
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Observation 8a436102-1772-4936-9df4-c33d3e78d3d2 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Learning to walk in minutes using massively parallel deep reinforcement learning
Reference 8
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Observation aa9665e8-afb2-4cf4-bf06-c61dd8a92160 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Deep reinforcement learning amidst lifelong non-stationarity
Reference 9
Source-reported events for the cited work
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Observation 3fac8f9c-819b-491d-ac6b-17bfce9db74f · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Hliferl: A hierarchical lifelong reinforcement learning framework
Reference 10
Source-reported events for the cited work
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Observation 4bb87af2-68eb-440d-9cab-b19aee72acfc · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Legged robots that keep on learning: Fine-tuning locomotion policies in the real world
Reference 11
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Observation 2c204df9-1ec6-46e2-a804-86bdcbb878d9 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Modular deep reinforcement learning for emergent locomotion on a six-legged robot
Reference 12
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Observation 6f8ca6b4-f3b7-4428-8e2b-a9719c7a6469 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Deepcpg policies for robot locomotion
Reference 13
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Observation fe4e6dfe-f16c-42ca-80f7-ed0c7b256fd8 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Generic neural locomotion control framework for legged robots
Reference 14
Source-reported events for the cited work
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Observation 63ab78a2-1d5a-420d-929b-350766253596 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits
Reference 15
Source-reported events for the cited work
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Observation b0b03d0f-5491-4917-9bd5-b6cd4b480ed2 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Fully spiking actor network with intralayer connections for reinforcement learning
Reference 16
Source-reported events for the cited work
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Observation 09efcc3d-c9d9-441f-8112-08c95ffeb957 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Dreamwaq: Learning robust quadrupedal locomotion with implicit terrain imagination via deep reinforcement learning
Reference 17
Source-reported events for the cited work
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Observation 0be95c1e-116c-43cc-9d8e-701b3b77ee95 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Learning locomotion for quadruped robots via distributional ensemble actor-critic
Reference 18
Source-reported events for the cited work
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Observation 3d93181d-853e-4ec8-b503-6d3f830aac8d · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains
Reference 19
Source-reported events for the cited work
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Observation 8b4a9689-216b-487c-bcbe-b54921a7af84 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Reinforcement learning: An introduction
Reference 20
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Observation f8873c97-8990-4e9f-a1d8-e5b1529bfb17 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Anymal parkour: Learning agile navigation for quadrupedal robots
Reference 21
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Observation e2696ca3-26eb-4b11-9d6e-b0045e11abbd · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Learning to walk: Spike based rein- forcement learning for hexapod robot central pattern generation
Reference 22
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Observation 6fd433d0-7054-4138-91cc-abc8ac7f54ad · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Simple statistical gradient-following algorithms for connectionist reinforcement learning
Reference 23
Source-reported events for the cited work
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Observation 49f86da6-ed64-47a8-bec3-18079f41e23f · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Parameter-exploring policy gradients
Reference 24
Source-reported events for the cited work
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Observation 8b8c9f8c-2911-4184-bd61-e43a1c826e1d · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Proximal Policy Optimization Algorithms
Reference 25
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Observation e49724c3-c9bc-4f8c-beab-dfb1e88906ce · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Policy improvement methods: Between black-box optimization and episodic reinforcement learning
Reference 26
Source-reported events for the cited work
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Observation 3eeb3258-479a-4828-8d8b-92074b64f013 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning A survey on interpretable reinforcement learning
Reference 27
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Observation b97fd00e-a9a6-4d97-9759-e8d409ed5c4f · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Neurovis: real-time neural information measurement and visualization of embodied neural systems
Reference 28
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Observation 7d81a4cf-ea36-4d47-be54-f6493ffb019a · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Versatile modular neural locomotion control with fast learning
Reference 29
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Observation 2a7c9c35-4bb1-4966-8c95-4b674f2d17ad · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Continuous online adaptation of bioinspired adaptive neuroendocrine control for autonomous walking robots
Reference 30
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Observation 0be00d6c-3abd-4506-b711-ca382456798a · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Designing worm- inspired neural networks for interpretable robotic control
Reference 31
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Observation 8541e7e8-a23b-4c52-a17f-ecd4b3267018 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Layer- wise relevance propagation: an overview
Reference 32
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Observation 09aac1e2-3267-4775-87d6-1e58cce18d71 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Striving for simplicity: The all convolutional net
Reference 33
Source-reported events for the cited work
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Observation 209f616a-628f-4fad-91fa-3934a5030ea4 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Morf—modular robot framework
Reference 34
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Observation 58223085-26e8-46cf-b302-f540342535a1 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning V-rep: A versatile and scalable robot simulation framework
Reference 35
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Observation ee04abaa-8f9a-434b-a74e-d60067a01a3c · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Mujoco: A physics engine for model-based control
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Observation 9cb98847-04e0-4c45-8b18-052080113e0b · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Correlated Exploration in Deep Reinforcement Learning
Reference 37
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Observation 357edabb-e828-419c-af83-b806e004b4c1 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Parameter Space Noise for Exploration
Reference 38
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Observation 46020c19-8eec-4d56-b1e7-5cbbfb8b9344 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Automatic differentiation in pytorch
Reference 39
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Observation fbded708-1c60-48f4-a1e7-06e699361541 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning A closer look at deep policy gradients
Reference 40
Source-reported events for the cited work
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Observation eab248a2-1426-42f3-b5a0-3b316e8b669a · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Grad-cam: Visual explanations from deep networks via gradient-based localization
Reference 41
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Observation bca4d7ec-5acd-4467-9112-15aacfb40ff5 · outbound
An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning Improvement in deep networks for optimization using explainable artificial intelligence
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
No inbound Pith citation observations are available.