Paper Citation Record · LEDGER

RL-GPT: Integrating Reinforcement Learning and Code-as-policy

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.19299.

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

pith.paper-citation-record.v1
2402.19299 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:12:28.796741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:11:19.311669Z

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 194f0667-1d72-4552-9e9f-c49024d10bd5 · inbound

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making cites this paper.

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:12:28.796741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab06cc3-87ff-485c-97ce-71ffabcbd718 · 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 RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:06.648488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b01301d-f525-4bd9-85cd-f8b66ec47fb9 · inbound

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures cites this paper.

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:44:15.200792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a9a7cc9d-c1ff-4cc8-a2b6-4ccb1b0645ab · inbound

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures cites this paper.

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures RL-GPT: Integrating Reinforcement Learning and Code-as-policy

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:11:19.313203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.