Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.01119.
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 2026-08-08T04:52:23.234289Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T04:52:23.579485Z
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 5f0b294b-d50a-4257-9494-10810f97f766 · inbound
The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data cites this paper.
The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T04:52:23.584668Z
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 2e99216b-1f39-4a7f-b84b-2515cfd9b6f4 · inbound
A Comprehensive Dataset for Human vs. AI Generated Text Detection cites this paper.
A Comprehensive Dataset for Human vs. AI Generated Text Detection Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:03:28.085266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.