Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Does Synthetic Data Make Large Language Models More Efficient?
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.07830.
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 2026-08-10T13:54:24.127936Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:19:42.880691Z
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 7ee53ea6-57d1-4f77-9c1f-758ab2e69e61 · inbound
SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub cites this paper.
SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub Does Synthetic Data Make Large Language Models More Efficient?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:54:24.127936Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d187bb63-974f-49f5-b16d-3e93ad4cc42b · inbound
Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction cites this paper.
Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction Does Synthetic Data Make Large Language Models More Efficient?
Reference 218
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:19:42.882643Z
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.