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Paper Citation Record · LEDGER

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.16889.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.16889 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:47.339036Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T13:14:40.585246Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e153e797-57d0-4947-bcfa-ba51a77ed85a · inbound

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots cites this paper.

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:33:32.669296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T22:30:36.548901Z digest=sha256:d4bfd90559ced20671ac742ef38c4e1b0b69712a2167526b08753a0e447367b3

Observation 7d656389-a891-41a7-b599-5ea8254f210f · inbound

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References cites this paper.

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:47.339036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:47.339036Z digest=sha256:951d26a6fd947f972691d3972be1bc470bf862da79114be4c51ca40999c64ed1

Observation ef2e5833-3845-44ec-9f2a-92b0f16e6342 · inbound

EMP: Executable Motion Prior for Humanoid Robot Standing Upper-body Motion Imitation cites this paper.

EMP: Executable Motion Prior for Humanoid Robot Standing Upper-body Motion Imitation Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:59.488757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:59.488757Z digest=sha256:c811559c596ee2342534b4b18f52315aa1273c21bc41c6db8b99a1452ebb51b2

Observation 7867ea13-7fe4-4fad-ae95-1e2b67a5edbb · inbound

Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis cites this paper.

Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T20:34:03.461909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:34:03.461909Z digest=sha256:9e144062b85b654e634592fb8f2dc0e8f84a5079b1a7bd648422eee7383805d3

Observation a21b1b21-af98-42f1-8071-f270b01f2b2d · inbound

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots cites this paper.

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:56:04.625054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:15:58.932739Z digest=sha256:5345ea2ed7eceff3e6889974f2172af248b65a5da6c25a2a56ad218360566c28

Observation 6985ae6c-d3f6-4f94-b5b7-e714c36c06fb · inbound

MuGen: Multi-Skill Generative Locomotion Controller for Humanoid Robots cites this paper.

MuGen: Multi-Skill Generative Locomotion Controller for Humanoid Robots Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:14:40.587641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T13:12:49.002648Z digest=sha256:fe2c2c95cf70f36c46ed8b4014b92f46b711ea1a5f15a9776f5f99b3005dd797

Observation e2a6a678-bf1a-4658-9298-55cdca4df0d2 · inbound

Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It) cites this paper.

Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It) Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:42:38.053941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T18:19:58.499360Z digest=sha256:423638b9bcdca1c1b87e8c9d1b06231de7c6426d6031d79bac5231344f535214

Observation 83693622-9435-441e-bdda-4a6aac627f44 · inbound

Training and Evaluating Diffusion Policies with Long Context Lengths cites this paper.

Training and Evaluating Diffusion Policies with Long Context Lengths Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T13:49:10.591494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T13:49:10.591494Z digest=sha256:e2fe052dbc31886d947255f06fe24d565e4c08394b167b2a062058bb73c401bd