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Paper Citation Record · LEDGER

Conversational AI Threads for Visualizing Multidimensional Datasets

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.05590.

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

pith.paper-citation-record.v1
2311.05590 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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:00:19.819290Z

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

5
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 8cc63287-00a0-420c-88d1-6134678e73c0 · inbound

Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data cites this paper.

Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data Conversational AI Threads for Visualizing Multidimensional Datasets

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:00:19.819290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:00:19.819290Z digest=sha256:8a6cb8d27a71eaa37e4d3454aff0a3695ce8819ba8115bd6ea0a7a599db5a793

Observation 78640a6f-a593-44b0-b172-26846a9b6c76 · inbound

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models cites this paper.

OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models Conversational AI Threads for Visualizing Multidimensional Datasets

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T14:38:06.634645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:38:06.634645Z digest=sha256:1e506a0b7cbc57af1a6e4261e94a113288a30c6d2937a232f2e9d336388985fb

Observation 998c9d12-d603-4e57-9298-155167f0fda7 · inbound

Designing a Lightweight GenAI Interface for Visual Data Analysis cites this paper.

Designing a Lightweight GenAI Interface for Visual Data Analysis Conversational AI Threads for Visualizing Multidimensional Datasets

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T11:21:24.041170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:21:24.041170Z digest=sha256:4183cc7b6a8a645f8cc3b1edb92606019220747f58a8a4cc332b4d16a198b89d

Observation c90ac39e-82f2-4c0c-b1a1-ab7e1b58584b · inbound

Exploring Agentic Visual Analytics: A Co-Evolutionary Framework of Roles and Workflows cites this paper.

Exploring Agentic Visual Analytics: A Co-Evolutionary Framework of Roles and Workflows Conversational AI Threads for Visualizing Multidimensional Datasets

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:37:03.950971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T07:34:35.982225Z digest=sha256:4f4e505e9d66bfa9e6e75498cf7dec3d69373ab6281c09ae652c53730148b359