Paper Citation Record · LEDGER

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 5 inbound Pith citation observations for arXiv:2509.02815.

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

pith.paper-citation-record.v1
2509.02815 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:25:58.503982Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:15.404416Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:25:48.476063Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy15
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c35c86d9-bd9f-4932-8ec9-9fde86c359a8 · outbound

This paper cites Learning coor- dinated badminton skills for legged manipulators,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Learning coor- dinated badminton skills for legged manipulators,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:01.563208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8fe9b27b-56cf-4b30-ad59-59e25f851204 · outbound

This paper cites HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T11:25:57.229092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f359b3aa-1dac-486d-93a3-dbf496b15d3d · outbound

This paper cites Walk these ways: Tuning robot control for generalization with multiplicity of behavior,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Walk these ways: Tuning robot control for generalization with multiplicity of behavior,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:01.381684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43525bfc-6e70-4244-881c-09f5f4de07a9 · outbound

This paper cites Extreme parkour with legged robots,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Extreme parkour with legged robots,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:01.180820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91268c5d-90b0-4b75-9377-9ad203235a90 · outbound

This paper cites One policy to run them all: an end-to-end learning approach to multi-embodiment locomotion,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization One policy to run them all: an end-to-end learning approach to multi-embodiment locomotion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:00.997360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d93428e-c0ae-4759-aca4-241a67b4901c · outbound

This paper cites Bridge the gap: Enhancing quadruped locomotion with vertical ground perturbations,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Bridge the gap: Enhancing quadruped locomotion with vertical ground perturbations,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:00.755554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 193d701c-3680-4d3d-bfca-754029ef7345 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Orbit: A unified simulation framework for interactive robot learning environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:00.522100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a43e485c-0b4c-4d0f-98d5-331388b56e59 · outbound

This paper cites Mujoco: A physics engine for model-based control,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Mujoco: A physics engine for model-based control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:00.313273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6db12d1-0243-4a35-8554-546499706bcf · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Proximal Policy Optimization Algorithms

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T11:25:57.812714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84223205-8d1d-4cc9-a67b-984b393e3904 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:26:00.085530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd8d3cbd-b13b-4d7b-b6a1-58004570d73d · outbound

This paper cites Rapid locomotion via reinforcement learning,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Rapid locomotion via reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:59.895746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad5dbbcd-3226-4bf5-a8d7-34fc6a9a105d · outbound

This paper cites Gait in eight: Efficient on-robot learning for omnidirectional quadruped locomotion,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Gait in eight: Efficient on-robot learning for omnidirectional quadruped locomotion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:59.741423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b0c94c42-d62a-407f-b9e5-b29a642f3384 · outbound

This paper cites Nervenet: Learning structured policy with graph neural networks,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Nervenet: Learning structured policy with graph neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:59.560505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da5e9dbd-992b-49b0-8d93-29b827afca8c · outbound

This paper cites Metamorph: learning universal controllers with transformers,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Metamorph: learning universal controllers with transformers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:59.425257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 638d9961-b4cc-4078-99c0-f6e22d4a5bd6 · outbound

This paper cites Towards embodiment scaling laws in robot locomotion,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Towards embodiment scaling laws in robot locomotion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:59.271925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01be2772-af4d-461c-b035-0faaa9e0d800 · outbound

This paper cites Weight normalization: A simple reparameterization to accelerate training of deep neural networks,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Weight normalization: A simple reparameterization to accelerate training of deep neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:59.028693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19f25b7c-9244-4581-a12b-51afaccfbc36 · outbound

This paper cites Rl-x: A deep reinforcement learning library (not only) for robocup,.

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization Rl-x: A deep reinforcement learning library (not only) for robocup,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:25:58.822730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 2731ab20-5aed-4616-814d-29921ceb32ba · inbound

Active Embodiment Identification with Reinforcement Learning for Legged Robots cites this paper.

Active Embodiment Identification with Reinforcement Learning for Legged Robots Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:56.468859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf569ee8-2027-4f98-9b4b-4d93febfb01b · inbound

Shape Your Body: Value Gradients for Multi-Embodiment Robot Design cites this paper.

Shape Your Body: Value Gradients for Multi-Embodiment Robot Design Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:28.950196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94f9e8a4-46cc-4a3d-9162-cdf9b9a2f3fb · inbound

FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control cites this paper.

FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:25:48.477690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8918361-c1dd-4800-af1a-29f786c24aa1 · inbound

Rapid Embodiment Adaptation for Quadrupedal Locomotion cites this paper.

Rapid Embodiment Adaptation for Quadrupedal Locomotion Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:09:48.228413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd03ab5-f90f-4828-a612-78f820da217c · inbound

Rapid Embodiment Adaptation for Quadrupedal Locomotion cites this paper.

Rapid Embodiment Adaptation for Quadrupedal Locomotion Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T01:02:15.404416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.