Paper Citation Record · LEDGER

Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.02167.

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

pith.paper-citation-record.v1
2402.02167 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:39.929777Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a3cad3f0-aaee-462f-a1fc-6f41519d05ef · inbound

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:39.929777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708e0167-789b-4a11-b318-0dc0a4e245d1 · inbound

Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach cites this paper.

Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T06:03:56.026761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30a48ed-b395-4e4b-8fac-c3740b787a5f · inbound

Exploring MLLMs Perception of Network Visualization Principles cites this paper.

Exploring MLLMs Perception of Network Visualization Principles Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:12:14.044187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 201db328-ed7f-4638-8b5c-361495912021 · inbound

Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text cites this paper.

Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:58:02.346718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.