Paper Citation Record · LEDGER

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.18046.

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

pith.paper-citation-record.v1
2509.18046 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:51:50.755943Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5614fd3e-7f35-44a4-a129-7bb0d13cebde · outbound

This paper cites Advancements in humanoid robots: A comprehensive review and future prospects,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Advancements in humanoid robots: A comprehensive review and future prospects,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.621121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fab63ac-c489-4936-b7a0-b1e6ed191f63 · outbound

This paper cites Reinforcement learning in robotic applications: a comprehensive survey,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Reinforcement learning in robotic applications: a comprehensive survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.628977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 888ec996-93d1-46c2-9556-09a6a01935db · outbound

This paper cites A comprehensive survey on humanoid robot development,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba A comprehensive survey on humanoid robot development,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.634466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc339678-607c-4c30-a359-ced574570e83 · outbound

This paper cites Teleoperation of humanoid robots: A survey,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Teleoperation of humanoid robots: A survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.641308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445469d6-58d4-4151-8a97-1fddef0d5cfc · outbound

This paper cites Learning agile and dynamic motor skills for legged robots,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Learning agile and dynamic motor skills for legged robots,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.647887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a96076-dc11-449b-98ab-64055af883ff · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Learning quadrupedal locomotion over challenging terrain,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.663390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6696e8fd-b032-4923-af16-a615fe5efbc7 · outbound

This paper cites Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.669910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afbdb6b5-2968-412f-a626-b63b4f44a9ae · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba RMA: Rapid Motor Adaptation for Legged Robots

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.677905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c70bd06-36e5-405c-9820-03799fbc1f63 · outbound

This paper cites Sim-to- real learning of all common bipedal gaits via periodic reward composition,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Sim-to- real learning of all common bipedal gaits via periodic reward composition,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.686949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83283a16-58f7-4486-8a5d-30677e8de08a · outbound

This paper cites Reinforcement learning for robust parameterized locomotion control of bipedal robots,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Reinforcement learning for robust parameterized locomotion control of bipedal robots,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.695300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d148a5eb-44ab-43be-81d9-2c8b62d6e559 · outbound

This paper cites Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.702075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054be262-3706-4214-ad2b-c434c2078cae · outbound

This paper cites Learning Whole-body Motor Skills for Humanoids.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Learning Whole-body Motor Skills for Humanoids

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.707129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6daf4b9a-fbee-4a06-bd3d-a5c2d82e369e · outbound

This paper cites DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.712600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7063757d-ab51-48ad-a26a-7879e874448c · outbound

This paper cites Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.718680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aabc96b-c7ab-45f4-ac27-011e6ca243fb · outbound

This paper cites ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.724880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0fba7e-4829-493b-a06f-af9dd85bf626 · outbound

This paper cites Learning Dynamic Bipedal Walking Across Stepping Stones.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Learning Dynamic Bipedal Walking Across Stepping Stones

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.729742Z

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Unavailable: canonical work link unavailable.

Observation 4ecfbcb7-a13b-4d21-bbac-d4d676e4964b · outbound

This paper cites Proximal Policy Optimization Algorithms.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Proximal Policy Optimization Algorithms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.735924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc0fe63-f1cf-4004-af73-0cb21c07bfa5 · outbound

This paper cites mc-mujoco: Simulating articulated robots with fsm controllers in mujoco,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba mc-mujoco: Simulating articulated robots with fsm controllers in mujoco,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.740784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8706442c-7780-4927-9711-c6667e8c16ab · outbound

This paper cites Proposal of inspection and rescue tasks for tunnel disasters—task development of japan virtual robotics challenge,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Proposal of inspection and rescue tasks for tunnel disasters—task development of japan virtual robotics challenge,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.745743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77263eb5-5a78-4fbe-b4c1-fda63dd38cc5 · outbound

This paper cites Learning bipedal walking on planned footsteps for humanoid robots,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Learning bipedal walking on planned footsteps for humanoid robots,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.750687Z

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Unavailable: canonical work link unavailable.

Observation 89db7155-f7cd-4582-864c-06c0974b7b4e · outbound

This paper cites Anytime search-based footstep planning with suboptimality bounds,.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Anytime search-based footstep planning with suboptimality bounds,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.755943Z

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Unavailable: canonical work link unavailable.

Observation 95317a5b-85ae-4903-b7e1-bec7e17835ce · outbound

This paper cites Available: https://www.science.org/doi/ 10.1126/scirobotics.aau5872.

HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba Available: https://www.science.org/doi/ 10.1126/scirobotics.aau5872

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T15:51:50.655273Z

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Pith citing papers

No inbound Pith citation observations are available.