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Paper Citation Record · LEDGER

Comparative Study of Domain Driven Terms Extraction Using Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.02330.

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

pith.paper-citation-record.v1
2404.02330 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:55:31.339739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:49:48.932252Z

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 475439d9-ee15-4212-a0f5-6ba87f53d8c8 · inbound

A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models cites this paper.

A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models Comparative Study of Domain Driven Terms Extraction Using Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:31.339739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:31.339739Z digest=sha256:eee453ed7582fff3bba5e396254ca3ccd61f6202c9da1e0a50c11fe7efc288d0

Observation 1b275280-2813-4a78-b6a7-0eed92d8dbcb · inbound

Construction of a Battery Research Knowledge Graph using a Global Open Catalog cites this paper.

Construction of a Battery Research Knowledge Graph using a Global Open Catalog Comparative Study of Domain Driven Terms Extraction Using Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:49:48.933543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T00:45:09.963778Z digest=sha256:d00f2a29fbf5be39568369d447150902557ff2525608f03ba0dced266e13e67a