Paper Citation Record · LEDGER

Body Transformer: Leveraging Robot Embodiment for Policy Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2408.06316.

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

pith.paper-citation-record.v1
2408.06316 v1

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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:56.716658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:18:33.126062Z

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 2e151988-6c62-4ab0-be8c-41eaf84a6aaa · inbound

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation cites this paper.

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:56.716658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962893f4-b81e-4ab8-afbb-4c6f94f9f61a · inbound

McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion cites this paper.

McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:23.056739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdcd4884-5826-40d7-8e63-cb348a187430 · inbound

Rodrigues Network for Learning Robot Actions cites this paper.

Rodrigues Network for Learning Robot Actions Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:27:15.920491Z

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 6b04271d-4743-4405-9231-8dd9a043637a · inbound

SPI-BoTER: Error Compensation for Industrial Robots via Sparse Attention Masking and Hybrid Loss with Spatial-Physical Information cites this paper.

SPI-BoTER: Error Compensation for Industrial Robots via Sparse Attention Masking and Hybrid Loss with Spatial-Physical Information Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:07:05.525348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af996bb-da06-4049-a76b-19af1a0a8d5c · inbound

Arnold: a generalist muscle transformer policy cites this paper.

Arnold: a generalist muscle transformer policy Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:55.195334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea9748c-04b3-4a14-b7b2-ee2d7b1ec53a · inbound

UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies cites this paper.

UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T12:43:01.866769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d28c578-8c89-4b14-b694-73dd062b1649 · inbound

MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving cites this paper.

MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:46:03.040768Z

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 7ea98592-a446-4fc8-b7f4-727b41098520 · inbound

EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment Deployment cites this paper.

EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment Deployment Body Transformer: Leveraging Robot Embodiment for Policy Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:18:33.127774Z

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.