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Paper Citation Record · LEDGER

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.13671.

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

pith.paper-citation-record.v1
2312.13671 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 2026-08-11T10:32:11.092666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:05:29.070760Z

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 19a463f9-1b65-4da7-9903-0ba82f6d9fbe · inbound

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types cites this paper.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T10:32:11.092666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:32:11.092666Z digest=sha256:f6606a2acfac1effd027e8cdf04b643930f62b3932a4bb918fb710ee1ffc0d7a

Observation 4eeca73e-f0d7-4f63-b153-d8748b6f4f66 · inbound

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model cites this paper.

MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:39:58.783416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:39:58.783416Z digest=sha256:2fb53c271a89abfc8d1c16291135c49d55b3a2bcd147344e33cb634c6d934e75

Observation ca166541-e307-4ec6-886b-ddfd21bb03e4 · inbound

Large Language Models for Predictive Analysis: How Far Are They? cites this paper.

Large Language Models for Predictive Analysis: How Far Are They? Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:05:29.151448Z

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=arxiv_source observed=2026-08-07T15:05:22.716153Z digest=sha256:0b656b2d0b90cdee27b332166a61319d012cfcb786f0eff225a54cb628c0a03d