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Paper Citation Record · LEDGER

Natural Language Models for Data Visualization Utilizing nvBench Dataset

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.00832.

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

pith.paper-citation-record.v1
2310.00832 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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:52.639163Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:59:58.658847Z

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 1fb2a94e-516c-4639-8644-0c0ed7ec16bd · inbound

Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture cites this paper.

Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture Natural Language Models for Data Visualization Utilizing nvBench Dataset

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:59:58.664642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T23:59:58.416774Z digest=sha256:d5bef565466e3ec2dbb1a77074967aa1d66a5f26305a80af3981a784fe0495d0

Observation 8eb294d7-dc8f-4300-8407-2f5ad18c8cab · inbound

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning cites this paper.

Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Natural Language Models for Data Visualization Utilizing nvBench Dataset

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:52.639163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:54:52.639163Z digest=sha256:82c7ba943a846e17325004aa1dde87fd87aade7ff6447eb5c926cae0bf5ad9a0

Observation 8e28086b-c331-4813-aa07-3ea66bb31930 · inbound

STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing cites this paper.

STRuCT-LLM: Unifying Tabular and Graph Reasoning with Reinforcement Learning for Semantic Parsing Natural Language Models for Data Visualization Utilizing nvBench Dataset

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:10:59.591976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:59.591976Z digest=sha256:a4342088de86321d898d62c60af0e1abc882500186cabaafa4a03bdfce173517