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Paper Citation Record · LEDGER

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.20331.

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

pith.paper-citation-record.v1
2412.20331 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T13:22:39.618825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:04:26.474697Z

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 7986e446-0ecb-41ab-8809-86ee74ae747e · inbound

Exploring Differences Between Tabular Enterprise Data and Public Benchmarks cites this paper.

Exploring Differences Between Tabular Enterprise Data and Public Benchmarks Mind the Data Gap: Bridging LLMs to Enterprise Data Integration

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:04:26.476284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T07:34:47.760875Z digest=sha256:ac1d728d5ce05eb29d78174e65d262287d86339c1b7c9e1245e5cc2ba4439ddb

Observation ff26458c-67b5-451d-92a0-d8cc92a01195 · inbound

SINT-Flow: Schema Integration using Large Language Model Workflows cites this paper.

SINT-Flow: Schema Integration using Large Language Model Workflows Mind the Data Gap: Bridging LLMs to Enterprise Data Integration

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-31T13:22:39.618825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T13:22:39.618825Z digest=sha256:27344aaff3f9059ae6d46b4bbff791b2ddfe5b9db2b259a97e03d89a9e0a3f87