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Paper Citation Record · LEDGER

Using Large Language Models to Generate Engaging Captions for Data Visualizations

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.14047.

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

pith.paper-citation-record.v1
2212.14047 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:37:15.031415Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:54:31.793566Z

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 df2a543c-143e-4e35-bc99-8f984a218aab · inbound

Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation cites this paper.

Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation Using Large Language Models to Generate Engaging Captions for Data Visualizations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T13:37:15.031415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:37:15.031415Z digest=sha256:847ac030ed14c48af8f664d5079e519060d5f4531f350fb5a3d00559f156fd87

Observation 07bd4d2f-a5ac-4d1b-89f1-e87da84817e5 · inbound

Automated Visualization Makeovers with LLMs cites this paper.

Automated Visualization Makeovers with LLMs Using Large Language Models to Generate Engaging Captions for Data Visualizations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:31.501224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:31.501224Z digest=sha256:e907a6b3ef7d63eb13998202ac2b614bb5fdae06f1bd4529f665c1eddd926fc1

Observation fe5bd089-79b3-4f42-945a-bd6b71af864c · inbound

Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem cites this paper.

Domain-Driven Design in Practice: A Large-Scale Empirical Characterisation of the Open-Source Ecosystem Using Large Language Models to Generate Engaging Captions for Data Visualizations

Reference 31

Resolution
malformed identifier
local_arxiv, observed 2026-07-08T04:54:31.795855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-08T04:50:48.134059Z digest=sha256:6849f3ecc85a0ac501545d35303d525d92ffce9e6cc20f1756e24e550896387c