Paper Citation Record · LEDGER

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot

As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2509.23651.

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

pith.paper-citation-record.v1
2509.23651 v3

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:14.366463Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation b79a8f9e-282f-48ae-bedb-78f3ba1eb620 · outbound

This paper cites Legged robots for object manipulation: A review,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Legged robots for object manipulation: A review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:11.182070Z

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Observation cfa9a8eb-8a28-4db7-8621-ceac6260c9be · outbound

This paper cites Learning goal-oriented non-prehensile pushing in cluttered scenes,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Learning goal-oriented non-prehensile pushing in cluttered scenes,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:11.253573Z

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Observation 808d9ecd-5fe9-4b8d-a252-63cba7103fb9 · outbound

This paper cites Learning whole-body manipulation for quadrupedal robot,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Learning whole-body manipulation for quadrupedal robot,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:11.403358Z

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Observation 6537f82a-d224-4bcf-8d95-c6b98dfc369e · outbound

This paper cites SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:11.570923Z

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Observation 04b4f84a-c6de-4d81-9268-1f07938ee588 · outbound

This paper cites Whole-body end- effector pose tracking,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Whole-body end- effector pose tracking,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:11.707294Z

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Observation b22b1ed5-43a6-4de8-9251-2cae22a5f590 · outbound

This paper cites Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:11.873861Z

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Observation 21ecb972-eecd-4ae5-ad82-7fd3c41e3771 · outbound

This paper cites Rambo: Rl- augmented model-based whole-body control for loco-manipulation,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Rambo: Rl- augmented model-based whole-body control for loco-manipulation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.009646Z

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Observation 2c29fa2b-5b94-41f3-ac9b-e701dde7dd7d · outbound

This paper cites Nature’s all-in-one: Multi- tasking robots inspired by dung beetles,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Nature’s all-in-one: Multi- tasking robots inspired by dung beetles,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.143719Z

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Observation 47237e23-cb76-40ef-8cfd-6c7772e02d53 · outbound

This paper cites Contact Optimization for Non-Prehensile Loco-Manipulation via Hierarchical Model Predictive Control.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Contact Optimization for Non-Prehensile Loco-Manipulation via Hierarchical Model Predictive Control

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.263735Z

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Observation 499a1aa0-bc7d-451c-b599-f89cb08886b6 · outbound

This paper cites Hierarchical Adaptive Loco-manipulation Control for Quadruped Robots.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Hierarchical Adaptive Loco-manipulation Control for Quadruped Robots

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.385639Z

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Observation 71d7b560-7cf4-451a-b83b-7ebb939e7070 · outbound

This paper cites Loco-manipulation control for arm- mounted quadruped robots: Dynamic and kinematic strategies,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Loco-manipulation control for arm- mounted quadruped robots: Dynamic and kinematic strategies,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.526520Z

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Observation febe1d97-4bd7-4e83-bd34-6170369294b8 · outbound

This paper cites Roloma: Robust loco-manipulation for quadruped robots with arms,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Roloma: Robust loco-manipulation for quadruped robots with arms,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.670285Z

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Observation 9d3e187d-5766-4e5b-a39c-4f48d1f2e596 · outbound

This paper cites Multi-contact heavy object pushing with a centaur-type humanoid robot: Planning and control for a real demonstrator,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Multi-contact heavy object pushing with a centaur-type humanoid robot: Planning and control for a real demonstrator,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.773051Z

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Observation 778ac740-57e9-4ea4-bcb9-4e20de18ebb3 · outbound

This paper cites Dynamic locomotion in the mit cheetah 3 through convex model-predictive control,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Dynamic locomotion in the mit cheetah 3 through convex model-predictive control,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:12.932336Z

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Observation 70c93b6f-de14-451d-8019-fa3a85b6502d · outbound

This paper cites DribbleBot: Dynamic Legged Manipulation in the Wild.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot DribbleBot: Dynamic Legged Manipulation in the Wild

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.088111Z

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Observation eb3f777d-fa45-4f76-9d68-1f347e6113d9 · outbound

This paper cites Deep whole-body control: learning a unified policy for manipulation and locomotion,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Deep whole-body control: learning a unified policy for manipulation and locomotion,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.263711Z

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Observation c7722a26-1495-4fb4-8c7c-e4ed892d296a · outbound

This paper cites Learning force con- trol for legged manipulation,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Learning force con- trol for legged manipulation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.375666Z

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Observation e540886b-66a5-4d6a-a841-b6f78d86ba12 · outbound

This paper cites UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.466358Z

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Observation 9252de91-cae8-4da8-90c5-6d1dc27ff060 · outbound

This paper cites Joint-space cpg for safe foothold plan- ning and body pose control during locomotion and climbing,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Joint-space cpg for safe foothold plan- ning and body pose control during locomotion and climbing,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.520053Z

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Observation 2178f79b-7254-4cd0-9a22-bac8bbb97bbe · outbound

This paper cites Autonomous Obstacle Legipulation with a Hexapod Robot.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Autonomous Obstacle Legipulation with a Hexapod Robot

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.655301Z

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Observation 7f6dd358-74bb-4c56-866c-4881e4cfdfc6 · outbound

This paper cites Design and multimodal locomotion plan of a hexapod robot with improved knee joints,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Design and multimodal locomotion plan of a hexapod robot with improved knee joints,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.777254Z

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Observation 006adcd8-bce2-4728-95a6-effae9cc3478 · outbound

This paper cites De- sign and control of a novel leg-arm multiplexing mobile operational hexapod robot,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot De- sign and control of a novel leg-arm multiplexing mobile operational hexapod robot,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:13.914944Z

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Observation 9866eea2-7820-4e3d-bb75-b5183e400d3e · outbound

This paper cites Pedipulate: Enabling manipulation skills using a quadruped robot’s leg,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Pedipulate: Enabling manipulation skills using a quadruped robot’s leg,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:14.035099Z

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Observation 97bd2fc6-6a37-4672-8dc5-07e8f279fa53 · outbound

This paper cites Learning multi-agent loco-manipulation for long-horizon quadrupedal pushing,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Learning multi-agent loco-manipulation for long-horizon quadrupedal pushing,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:14.190879Z

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Observation ff742146-a22f-42ca-81ff-bfdfb06dca57 · outbound

This paper cites DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:14.335910Z

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Observation 249680b5-7ece-4d38-b4cf-95e9f72359fa · outbound

This paper cites Proximal Policy Optimization Algorithms.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Proximal Policy Optimization Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:14.354625Z

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Observation d6561ace-d6a3-4be3-9277-6fe5f30880ff · outbound

This paper cites L2c2: Locally lipschitz continuous constraint towards stable and smooth reinforcement learning,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot L2c2: Locally lipschitz continuous constraint towards stable and smooth reinforcement learning,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:14.360280Z

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Observation 7f7f6ee0-6ecb-4dc3-a2b8-8e8b00f5785e · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning,.

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot Learning to walk in minutes using massively parallel deep reinforcement learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:14.366463Z

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Pith citing papers

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