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Paper Citation Record · LEDGER

G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.13647.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.13647 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:16:34.491879Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T14:58:48.302502Z

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 5444d6e4-1a51-4718-8f98-e699647f718d · inbound

Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? cites this paper.

Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-08T14:58:48.309144Z

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.

source=arxiv_source observed=2026-08-08T14:58:48.223313Z digest=sha256:0db6eefa6cc5f25b528f33dd746bf4d3c170f51c7d22a7f31fff3dfb7eb06adb

Observation d70a72fd-307e-41a1-a376-8e986d791e13 · inbound

CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models cites this paper.

CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T20:16:34.491879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:16:34.491879Z digest=sha256:11ba0d1966f775aafea7f5f29f9fe4374806babf0d6c4678b784a96904a77d67