Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.17600.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:41.868792Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T21:20:59.417576Z
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 58606be8-348a-477c-ae5c-a3004d93affe · inbound
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Reference 184
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:20:59.418991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 910cafb6-7591-4ee6-b69e-bc74298e466a · inbound
BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models cites this paper.
BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:35:41.868792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d95f1cf-d097-4862-953f-7717116ca134 · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:41.737914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 699aaa9e-581e-4a0c-afd9-1752e25544cb · inbound
Pedestrian Intention Prediction via Vision-Language Foundation Models cites this paper.
Pedestrian Intention Prediction via Vision-Language Foundation Models Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:59:56.092349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55ef12ed-f951-4cde-b56a-4d92b8b5c6d6 · inbound
Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning cites this paper.
Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:24:47.547071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.