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Paper Citation Record · LEDGER

Polybot: Training One Policy Across Robots While Embracing Variability

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.03719.

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

pith.paper-citation-record.v1
2307.03719 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:43.722045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:23:24.507557Z

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 ee13515e-386a-4381-90e1-f5c5d59ded4f · inbound

Open X-Embodiment: Robotic Learning Datasets and RT-X Models cites this paper.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models Polybot: Training One Policy Across Robots While Embracing Variability

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:23:24.510240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T17:23:24.255829Z digest=sha256:079daa7e23cebc577cf47c6a3e8e354252d2d86ab44f6c745944e51fcb1a9dd9

Observation 7b83f3d7-4b9f-400b-98b2-66c896ad38e7 · inbound

Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented Diffusion cites this paper.

Multi-Loco: Unifying Multi-Embodiment Legged Locomotion via Reinforcement Learning Augmented Diffusion Polybot: Training One Policy Across Robots While Embracing Variability

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:43.722045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:43.722045Z digest=sha256:c8a844c7daec44816a0f0177ddf363f1dcc486cd85c42c623428cf480d3633f6