Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet?
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.10565.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T10:11:10.930135Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T00:01:55.836938Z
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 1a71006c-ec3c-4aaa-8ded-0d9103a1610c · inbound
Comparing Human and LLM Generated Code: The Jury is Still Out! cites this paper.
Comparing Human and LLM Generated Code: The Jury is Still Out! Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T10:11:10.930135Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b53eeabb-e4a5-45bf-aa99-9d8b786185c1 · inbound
Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.
Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet?
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:01:55.840366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation faf7804c-e6f6-4384-9bde-acacfb7c62db · inbound
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet?
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:26:04.775074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.