Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Study of Scaling Law for OCR
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2401.00028.
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 2026-08-06T18:58:59.252425Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:59:00.710920Z
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 e8405c22-c565-442c-95c6-1bd185a68f5e · inbound
Finetuning Vision-Language Models as OCR Systems for Low-Resource Languages: A Case Study of Manchu cites this paper.
Finetuning Vision-Language Models as OCR Systems for Low-Resource Languages: A Case Study of Manchu An Empirical Study of Scaling Law for OCR
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:59:00.784898Z
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.