Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.04566.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:27.702240Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T11:27:32.402928Z
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 564cc66c-78cb-4f7c-9a6d-36d52c42892d · inbound
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization cites this paper.
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:50:27.702240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1eeb5ba7-f677-4287-ac08-19fb409ead02 · inbound
Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm Optimization cites this paper.
Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm Optimization Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T11:27:32.405447Z
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.