Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.16809.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:55:07.168842Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:16:02.407460Z
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 7fdf8dd7-3e1b-4abe-8d12-d73a5afec025 · inbound
Exploring Light-Weight Object Recognition for Real-Time Document Detection cites this paper.
Exploring Light-Weight Object Recognition for Real-Time Document Detection Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:55:07.168842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3799812-2777-4fde-85c3-892f684b2402 · inbound
From Handwriting to Structured Data: Benchmarking AI Digitisation of Handwritten Forms cites this paper.
From Handwriting to Structured Data: Benchmarking AI Digitisation of Handwritten Forms Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:16:02.448353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc601ed0-71f4-416a-a89a-46f156c7a3b3 · inbound
Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models cites this paper.
Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:59:18.087177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.