Paper Citation Record · LEDGER

Universal Actions for Enhanced Embodied Foundation Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.10105.

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

pith.paper-citation-record.v1
2501.10105 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:10:13.526467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:53:37.313413Z

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 351413b3-fa91-4bd9-9022-7f7c36289552 · inbound

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model cites this paper.

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model Universal Actions for Enhanced Embodied Foundation Models

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:12:19.816336Z

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 a7db7abc-abe5-4901-8b10-5a40f51ccbb1 · inbound

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models cites this paper.

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models Universal Actions for Enhanced Embodied Foundation Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:53:37.317372Z

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 194a4a3c-9f1a-4783-bb37-8ec16b275924 · inbound

RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation cites this paper.

RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation Universal Actions for Enhanced Embodied Foundation Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T20:10:13.526467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95c094cb-50b0-4b4c-9203-cea3acdd1f37 · inbound

JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy cites this paper.

JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy Universal Actions for Enhanced Embodied Foundation Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T01:10:09.503113Z

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 47295cb1-c337-4dff-aff8-44590b897454 · inbound

CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies cites this paper.

CF-VLA: Efficient Coarse-to-Fine Action Generation for Vision-Language-Action Policies Universal Actions for Enhanced Embodied Foundation Models

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:41:17.452556Z

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 07127bff-82ba-42a4-aced-4c356e7b1eb9 · inbound

EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields cites this paper.

EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields Universal Actions for Enhanced Embodied Foundation Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:06.535220Z

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.