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Paper Citation Record · LEDGER

GitTables: A Large-Scale Corpus of Relational Tables

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.07258.

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

pith.paper-citation-record.v1
2106.07258 v5

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:02:23.108393Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:46:42.796080Z

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 ce7f499b-7541-4d97-8f97-0c719274fbe3 · inbound

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data cites this paper.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data GitTables: A Large-Scale Corpus of Relational Tables

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T20:02:23.108393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:02:23.108393Z digest=sha256:fd9a41bc36c24c13dee3df64cd825cf21efe4ad6bec288e1f82eefa494349dba

Observation 4b00f74a-ccce-422a-92a8-a565f510056b · inbound

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes cites this paper.

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes GitTables: A Large-Scale Corpus of Relational Tables

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:46:42.890225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:46:39.120703Z digest=sha256:6377705efa8b8f49469616e59573edba2394c11d9cae64233dedf9576798adc0