Paper Citation Record · LEDGER

Creating a Fine Grained Entity Type Taxonomy Using LLMs

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12557.

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

pith.paper-citation-record.v1
2402.12557 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:48.846200Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:25:20.160025Z

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 f9cd209a-3157-4b78-a334-0f2200c63d18 · inbound

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora cites this paper.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Creating a Fine Grained Entity Type Taxonomy Using LLMs

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:25:20.268330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9477ae51-9d0b-4b79-aa91-f0041f7177d4 · inbound

Automatic Generation of a Cryptography Misuse Taxonomy Using Large Language Models cites this paper.

Automatic Generation of a Cryptography Misuse Taxonomy Using Large Language Models Creating a Fine Grained Entity Type Taxonomy Using LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T15:56:48.846200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e5c909f-4954-463f-ae6a-bebc0563ccd1 · inbound

How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework cites this paper.

How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework Creating a Fine Grained Entity Type Taxonomy Using LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:10:05.433798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 784b7630-ec96-4e98-ade4-dbdbaec81c5a · inbound

An Agentic Hybrid Top-Down and Bottom-Up Approach to Knowledge Graph Generation cites this paper.

An Agentic Hybrid Top-Down and Bottom-Up Approach to Knowledge Graph Generation Creating a Fine Grained Entity Type Taxonomy Using LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:28:57.061650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.