Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Case2Code: Scalable Synthetic Data for Code Generation
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.12504.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:20:15.907347Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T06:06:40.688752Z
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 beaf1392-8052-4a25-b171-27661b63ec9b · inbound
Does Few-Shot Learning Help LLM Performance in Code Synthesis? cites this paper.
Does Few-Shot Learning Help LLM Performance in Code Synthesis? Case2Code: Scalable Synthetic Data for Code Generation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:05:38.355236Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f48b7746-4570-466a-ab73-44af6b1c6296 · inbound
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification cites this paper.
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification Case2Code: Scalable Synthetic Data for Code Generation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:15.907347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2bc3937-b30d-4bd7-9a81-a27a4b8a9cc7 · inbound
Plateau That Never Comes: When Efficiency Claims in Datacenters and AI Become Greenwashing cites this paper.
Plateau That Never Comes: When Efficiency Claims in Datacenters and AI Become Greenwashing Case2Code: Scalable Synthetic Data for Code Generation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T06:06:40.690300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.