Paper Citation Record · LEDGER

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.03757.

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

pith.paper-citation-record.v1
2406.03757 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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:27.409535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:55:52.447093Z

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 ed2977d3-2600-40ef-ac3e-1a8b852c639a · inbound

Logits-Based Finetuning cites this paper.

Logits-Based Finetuning RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.409535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f6e4bc0-1ab0-45af-8e25-d4979012532a · inbound

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System cites this paper.

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:40.532400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ecd205-535a-4ee7-86a3-bbbf5f8a9f47 · inbound

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment cites this paper.

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:55:52.450793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a6cf965-f71f-43ee-9ae0-af857fd22f8f · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:34.893181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.