Paper Citation Record · LEDGER

UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.20977.

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

pith.paper-citation-record.v1
2412.20977 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 2026-08-06T17:33:08.814006Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:53.039794Z

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 3135e1a6-66ae-4159-8e5c-e6b8cdab12e4 · inbound

EmbRACE-3K: Embodied Reasoning and Action in Complex Environments cites this paper.

EmbRACE-3K: Embodied Reasoning and Action in Complex Environments UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:08.814006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78eee785-fce6-4440-9d72-bb69e6a085e7 · inbound

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents cites this paper.

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:06.708666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175ba0c2-57ff-463b-b522-1b201998865d · inbound

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning cites this paper.

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:21:26.704740Z

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 699c9664-ebeb-46d1-99b2-140f2eec88b7 · inbound

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning cites this paper.

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:32:59.579379Z

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 ad23a97d-c5ca-4108-b585-9796eb4483fc · inbound

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:53.041718Z

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 12cd813d-8692-48e4-8237-33902e2ad46d · inbound

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:39.327840Z

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.