Paper Citation Record · LEDGER

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.13063.

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

pith.paper-citation-record.v1
2309.13063 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:10:14.605627Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

11
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7b204c27-11db-4297-b8ac-399e7710bfd3 · inbound

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering cites this paper.

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T22:10:14.605627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9271ae-7fc1-485b-9d12-84e1fb95a4d6 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T16:29:56.868692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a583d1aa-516b-48e3-a9ae-f8c601874928 · inbound

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration cites this paper.

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T17:20:32.443486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d08641-7142-4fb2-8b33-3ecc7c5160c3 · inbound

Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps? cites this paper.

Reading between the Lines: Can LLMs Identify Cross-Cultural Communication Gaps? Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T18:04:56.770923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8531440e-a0d5-4052-b7f2-6b8a7f5f50c5 · inbound

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI cites this paper.

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:50:24.110325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.