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Paper Citation Record · LEDGER

Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.14507.

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

pith.paper-citation-record.v1
2408.14507 v3

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:10:19.757731Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:35:54.012190Z

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 406c2b17-2f85-476d-9926-2d406156a750 · inbound

Magneto: Combining Small and Large Language Models for Schema Matching cites this paper.

Magneto: Combining Small and Large Language Models for Schema Matching Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:10:19.757731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:10:19.757731Z digest=sha256:e524a5982405df3fc6f3b4586b87de7dfaf71e9cdfe9862d053e42ed7f1a67be

Observation 1d533338-3889-4d5c-a291-3fea6fb95828 · inbound

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching cites this paper.

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:25:50.121774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:25:50.121774Z digest=sha256:9fd4408a4737e226222fba3065c2f943502891875b2657e47d4aedab8ce22070

Observation 82f8b295-38d8-4bcb-bee5-32b917ec9817 · inbound

Empowering Tabular Data Preparation with Language Models: Why and How? cites this paper.

Empowering Tabular Data Preparation with Language Models: Why and How? Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T05:35:54.124717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T05:35:52.671120Z digest=sha256:1643fdb62fe76fab2f627b075b5fa0e350b37c896e91bb048e43d2802f440847