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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:40.379673Z

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 e09ed387-7d34-4fd7-8d37-2c3f32f51609 · 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 Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T13:37:15.080864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:37:15.080864Z digest=sha256:dd2a82cc232caba40e0ab2380f5940f57ccaad5117c10d692c9a8b3d02fdd58a

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.

source=arxiv_source observed=2026-08-07T14:57:39.929777Z digest=sha256:813fde86c630a224f7fbdc4e2fe9c5fd25e79c99c2731230c8d338a9403cdb26

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.

source=arxiv_source observed=2026-08-07T06:03:56.026761Z digest=sha256:53f83c00376de1e4c782db1c6f8b0d5335741a6cc98742305832a566c265fe4d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T09:10:43.284468Z digest=sha256:3e7acceae77663307ef0f123e57570d055bba785243310f267de5dc8b8a86b22

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.

source=pdf_text observed=2026-08-06T13:58:02.346718Z digest=sha256:1cf5ed3254b3a3fb69e1b74ec2458f4a2f38f533b69769f5d31b040b2959af97

Observation 7a68d497-d4db-40f6-af7e-6f4d193766f8 · inbound

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? cites this paper.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:40.379673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:40.379673Z digest=sha256:fccb8c10f0a1276d6f4dc18d522e5c90f5428b8dc86bef766427dc8fdc836c47