Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18382.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:38.755697Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:16:19.186716Z
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 19bc4a7d-d2e4-44f2-b586-a8e7ed8aad23 · inbound
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models cites this paper.
Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:23:38.755697Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5581ed92-4026-4e92-9517-87ced3da2592 · inbound
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models cites this paper.
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:23:20.526441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75f261de-55fb-45ef-9ad9-d55b93a7f4ac · inbound
Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions cites this paper.
Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T22:16:19.190345Z
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.