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Paper Citation Record · LEDGER

TabIQA: Table Questions Answering on Business Document Images

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.14935.

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

pith.paper-citation-record.v1
2303.14935 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:59:58.389935Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:27:37.072415Z

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 68b05633-bde5-4c72-86df-9514e5150c41 · 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 TabIQA: Table Questions Answering on Business Document Images

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:59:58.389935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:59:58.389935Z digest=sha256:4b11044045e3dc54245b9c330bf7f7334d87b239827d7b5451ba0a659da38924

Observation 0845ee95-be73-4bd6-982d-e8d70fcb1fd9 · inbound

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools cites this paper.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools TabIQA: Table Questions Answering on Business Document Images

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:27:37.077482Z

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=arxiv_source observed=2026-08-07T10:27:36.809380Z digest=sha256:3c195006a9fb4ee460f293c83d8841899b608ee3165df22ae1d760ab4eabeb0f