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Paper Citation Record · LEDGER

Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.02094.

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

pith.paper-citation-record.v1
2302.02094 v2

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:53:02.146028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T07:09:16.910392Z

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 9a09f9e9-07ab-46f1-8bf7-e93cfc0fc609 · inbound

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT cites this paper.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:09:16.914474Z

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=pdf_text observed=2026-05-15T07:09:16.823590Z digest=sha256:798c992c1b3d65d9838d0f396535fd7f54c271ee29717978afd7fd9856db4cac

Observation d97e8d62-ff4b-4645-9f70-8df3058f98c5 · inbound

Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis cites this paper.

Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T07:20:59.587658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:20:59.587658Z digest=sha256:9da8f546309984c8df848464e3fded102bf6c1004212f046ce4a50f1c19fa0a8

Observation 474d9c01-3031-47d4-9a95-c980ccd84cf0 · inbound

FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation cites this paper.

FinReportBench: Measuring and Improving Institution-Grade Financial Report Generation Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:02.146028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:53:02.146028Z digest=sha256:9214c6041e4b9073fcbd5c2f922c83a91f977605c5afe6bfc9926ca2528f9fe1