Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:19:22.518305Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2512.24698.
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 2026-08-03T13:19:22.518305Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:16:04.435902Z
A source-named dated measurement, never combined with another source.
Source: cited_works
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a5377c1f-2637-4592-a746-3225b1845c3e · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Synthesis and stabilization of complex behaviors through online trajectory optimization,
Reference 1
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Observation 1ec61282-4d4e-4e9a-aed7-8c62d18576fd · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Discovery of complex behaviors through contact-invariant optimization,
Reference 2
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Observation 2372c488-9506-409c-95a6-1f7ff6b7ce2b · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Multicontact locomotion of legged robots,
Reference 3
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Observation f5969b99-7ec2-4d9f-8f96-82ab34b4ba4a · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Contact-Implicit Model Predictive Control: Controlling Diverse Quadruped Motions Without Pre-Planned Contact Modes or Trajectories
Reference 4
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Observation 013e86ed-04f4-4a2e-95b1-d554e27b7390 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Fast online trajectory optimization for the bipedal robot cassie
Reference 5
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Observation 1ca59c56-5bca-4ff1-98fc-f855a26c9680 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Dynamic locomotion in the mit cheetah 3 through convex model-predictive control,
Reference 6
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Observation fda51b7a-4b52-4f49-bcfd-a794870e15dd · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Gait and trajectory optimization for legged systems through phase-based end- effector parameterization,
Reference 7
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Observation 83b781f3-d6f9-4f91-b1e3-3fe0b723e1e6 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Real-time constrained nonlinear model predictive control on so (3) for dynamic legged locomotion,
Reference 8
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Observation 24708965-c6ca-48a7-94db-373881a3cc92 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Dynamically- consistent trajectory optimization for legged robots via contact point decomposition,
Reference 9
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Observation 1b66a4a4-2483-42e5-a114-0f280aac5d6f · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control
Reference 10
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Observation 698afcfb-eeb8-4da8-8168-1c9b5c6e9384 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Whole-body motion planning with centroidal dynamics and full kinematics,
Reference 11
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Observation f2208d9e-1fd5-4e04-9fba-298ac219deea · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Momentum- aware trajectory optimization and control for agile quadrupedal locomo- tion,
Reference 12
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Observation 74c22bda-1eea-45ea-a74c-354b101ee92f · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Staged contact optimization: Combining contact-implicit and multi-phase hybrid trajectory optimiza- tion,
Reference 13
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Observation 48b5cc81-12f1-4d1a-be4d-e490ccb8df6a · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Contact-timing and trajectory optimization for 3d jumping on quadruped robots,
Reference 14
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Observation f6863b29-dd64-4f0c-900a-e6f56f2690ae · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Learning quadrupedal locomotion over challenging terrain,
Reference 15
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Observation 65af9401-cf48-4465-8d95-3fa83bec5e33 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Anymal parkour: Learning agile navigation for quadrupedal robots,
Reference 16
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Observation 85fcd8e8-8b21-4b44-ade2-09c0369af677 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer High-speed control and navigation for quadrupedal robots on complex and discrete terrain,
Reference 17
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Observation f254a53c-39aa-4846-9ee0-7b116fa2b8b6 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization,
Reference 18
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Observation 227065bb-94ce-4119-9e40-b9863bab1be1 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Learning Agile Robotic Locomotion Skills by Imitating Animals
Reference 19
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Observation ad7be6fd-902f-4584-b2b5-2eb25f3604bc · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Deepmimic: Example-guided deep reinforcement learning of physics-based character skills,
Reference 20
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Observation 019c440d-5117-4e72-93d3-e39f26f93364 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Amp: Adversarial motion priors for stylized physics-based character control,
Reference 21
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Observation 79809dca-05ad-4ad8-b097-ff09227515c0 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Learning agile skills via adversarial imitation of rough partial demonstrations,
Reference 22
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Observation 8425c5de-ea71-4432-b026-17627f6cfccc · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Learning spring mass locomotion: Guiding policies with a reduced-order model,
Reference 23
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Observation 4693a991-e31b-46ac-b0c5-2eae36a1e3f2 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Optimizing bipedal maneuvers of single rigid-body models for reinforcement learning,
Reference 24
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Observation d19a0fa1-d502-483d-88f2-e3770b6d3e2a · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Opt-mimic: Imitation of optimized trajectories for dynamic quadruped behaviors,
Reference 25
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Observation 8d3218c9-66f4-4a64-9f9f-6873efb15668 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Glide: Generalizable quadrupedal locomotion in diverse environments with a centroidal model,
Reference 26
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Observation f0a8b269-e656-4afc-be19-def95f2aa8f7 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Learning to brachiate via simplified model imitation,
Reference 27
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Observation a7395406-6516-42b0-a7dc-fc6dcc94fadd · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Reinforcement learning for reduced- order models of legged robots,
Reference 28
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Observation d6aa134d-7825-4d4a-bf8c-4084584033db · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Adaptive tracking of a single- rigid-body character in various environments,
Reference 29
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Observation 30c7de5a-1450-4775-a0c9-38ec392765d5 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Unresolved cited work
Reference 30
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Observation 06a676ef-5ef2-4d22-be8f-5344be6f64c8 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Learning symmetric and low-energy locomotion,
Reference 31
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Observation 1de2b076-ad45-492a-accd-34a518b7669b · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Robot parkour learning,
Reference 32
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Observation 58986956-dfdd-4c81-86f8-1bad81857949 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Not only rewards but also constraints: Applications on legged robot locomotion,
Reference 33
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Observation 5d359473-57c6-4a58-bd81-bfb058156ce1 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer A Learning Framework for Diverse Legged Robot Locomotion Using Barrier-Based Style Rewards
Reference 34
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Observation 1f86191b-d0c7-4812-a7cb-bb42105f1923 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Imitating and finetuning model predictive control for robust and symmetric quadrupedal locomotion,
Reference 35
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Observation 932249d2-bdae-496e-95da-d3c1580dfc34 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Probabilistic Homotopy Optimization for Dynamic Motion Planning
Reference 36
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Observation d1ca1883-0351-430a-a453-4142ddd5ff25 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Generating families of optimally actuated gaits from a legged system’s energetically conservative dynam- ics,
Reference 37
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Observation e4cd11cf-5968-42b2-885a-ac4fe55c2aa8 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer A survey on curriculum learning,
Reference 38
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Observation bcc36362-bd7b-4b84-80b4-23927c7a66b9 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion,
Reference 39
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Observation dc0b43d4-dea3-4b16-9acd-9cc82da603b1 · outbound
Reference 40
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Observation d92c6061-90b0-432c-bc67-0204616f10c5 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Unresolved cited work
Reference 41
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Observation d417e766-1ba5-4c36-a2a3-882c72f14d9e · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer Key air phase timings are summarized in Table II
Reference 42
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Observation f9843e75-42cb-449f-9af5-6fd60fd23aa1 · outbound
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer The contact plan is illustrated in Fig
Reference 43
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Observation cdabbe07-d89c-4a40-bfce-a705088d2521 · inbound
WARL: Wrench-Augmented Reinforcement Learning for Task-Agnostic Learning in Legged Robots Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer
Reference 16
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