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Paper Citation Record · LEDGER

Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.17975.

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

pith.paper-citation-record.v1
2404.17975 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:59.094386Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:01:03.118022Z

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 01bdd2f8-a201-4047-b0b2-d4a083fd2f6e · inbound

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG cites this paper.

PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:01:03.177258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:00:59.094386Z digest=sha256:6ae0fed4e7b0f4c719fd67cd5129c335e744f5588cb1b4db425e020869f3a6bb