Paper Citation Record · LEDGER

Schema Matching with Large Language Models: an Experimental Study

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.11852.

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

pith.paper-citation-record.v1
2407.11852 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:10:19.954809Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:17:44.740928Z

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 83800a36-5975-4dbc-9e4b-608630972b58 · inbound

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

Magneto: Combining Small and Large Language Models for Schema Matching Schema Matching with Large Language Models: an Experimental Study

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T18:10:19.954809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497b8d59-e015-4677-8a0a-ed643a3a5364 · inbound

Towards Scalable Schema Mapping using Large Language Models cites this paper.

Towards Scalable Schema Mapping using Large Language Models Schema Matching with Large Language Models: an Experimental Study

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:34.270108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa3ab163-31dd-40c8-877e-29d668b2b0cc · inbound

QUEST: Query Optimization in Unstructured Document Analysis cites this paper.

QUEST: Query Optimization in Unstructured Document Analysis Schema Matching with Large Language Models: an Experimental Study

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:10:17.643509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b54f9676-99c8-44bd-9b04-7eb7a5089561 · inbound

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection cites this paper.

Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection Schema Matching with Large Language Models: an Experimental Study

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T18:04:31.534973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e429d4e5-7070-4704-b23a-cc21442c2f49 · inbound

ConStruM: A Structure-Guided LLM Framework for Context-Aware Schema Matching cites this paper.

ConStruM: A Structure-Guided LLM Framework for Context-Aware Schema Matching Schema Matching with Large Language Models: an Experimental Study

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:17:44.743101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc03aa07-a0b6-43b1-a624-aa3440d2f10b · inbound

PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? cites this paper.

PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? Schema Matching with Large Language Models: an Experimental Study

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:25.485489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8468d63e-5425-4e3c-b9b2-55b1f0f33254 · inbound

EdgeLM: Edge Demonstrations for Language Models' Table Understanding cites this paper.

EdgeLM: Edge Demonstrations for Language Models' Table Understanding Schema Matching with Large Language Models: an Experimental Study

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-08T18:28:25.731857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.