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Paper Citation Record · LEDGER

Towards Complex Ontology Alignment using Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.10329.

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

pith.paper-citation-record.v1
2404.10329 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:16:31.379632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:15:43.574642Z

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 c93149d5-babd-4e6c-92c9-6f22200962e0 · inbound

How Does A Text Preprocessing Pipeline Affect Ontology Matching? cites this paper.

How Does A Text Preprocessing Pipeline Affect Ontology Matching? Towards Complex Ontology Alignment using Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:15:43.577951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T17:15:03.291348Z digest=sha256:015ff81b5b09a48bd1474bd2e9020cda3a735ec93ce279efcbae16b85b8d87ee

Observation cb748300-0e87-487a-a835-bcff1b36eb58 · inbound

Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development cites this paper.

Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development Towards Complex Ontology Alignment using Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T10:16:31.379632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:16:31.379632Z digest=sha256:77062fdfe7a1b9bce29908e98d1543881d6ccce5692dff757fb1abd33c79ed13