Paper Citation Record · LEDGER

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.07924.

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

pith.paper-citation-record.v1
2501.07924 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:32:26.613128Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact10
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46fa8726-4c97-4ef6-b1cd-98c9ffdc0271 · outbound

This paper cites The Nature and Costs of Civil Aviation Flight Training Safety Occurrences,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques The Nature and Costs of Civil Aviation Flight Training Safety Occurrences,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.527267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12672df0-2ba0-4bdb-9cf1-ba3b949d1548 · outbound

This paper cites Predicting 30 -Day Mortality after an Acute Coronary Syndrome (ACS) using Machine Learning Methods for Feature Selection, Classification and Visualisation,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Predicting 30 -Day Mortality after an Acute Coronary Syndrome (ACS) using Machine Learning Methods for Feature Selection, Classification and Visualisation,

Reference 2

Resolution: verified exact; doi, observed 2026-08-10T20:32:26.736353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db9855e9-674c-47cb-a035-6f060c01dbc5 · outbound

This paper cites (2023, December).

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques (2023, December)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:27.647187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4b6453b8-53d6-4360-bfd2-abd4a7e4e4c0 · outbound

This paper cites Augmenting Topic Finding in the NASA Aviation Safety Reporting System using Topic Modeling,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Augmenting Topic Finding in the NASA Aviation Safety Reporting System using Topic Modeling,

Reference 4

Resolution: verified exact; doi, observed 2026-08-10T20:32:26.721676Z

Source-reported events for the cited work

correction dated 2021-03-12. Source: crossref record 10.2514/6.2021-1981.c1->10.2514/6.2021-1981:correction, observed 2026-07-11T03:06:30.433909+00:00. This notice travels one citation hop only.

Observation d461ff59-2ea5-41fe-91c8-93a572a956af · outbound

This paper cites Exploring Topic Coherence over Many Models and Many Topics,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Exploring Topic Coherence over Many Models and Many Topics,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:27.635162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58a78834-9003-4727-b53c-2812d756f9fe · outbound

This paper cites Text mining of accident reports using semi -supervised keyword extraction and topic modelling,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Text mining of accident reports using semi -supervised keyword extraction and topic modelling,

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T20:32:26.709101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce53b584-8d58-4f1c-89db-afcfede1a657 · outbound

This paper cites (2024, March).

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques (2024, March)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:27.621780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fedc088-c39a-45a6-bdcd-0500fef69cb7 · outbound

This paper cites The Limits of Expertise: Rethinking Pilot Error and the Causes of Airline Accidents,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques The Limits of Expertise: Rethinking Pilot Error and the Causes of Airline Accidents,

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T20:32:26.696818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 05eba021-294e-4378-a091-e106770589da · outbound

This paper cites Natural language processing for aviation safety reports: From classification to interactive analysis,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Natural language processing for aviation safety reports: From classification to interactive analysis,

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T20:32:26.684652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8303eddb-2de7-4851-b1ae-e82eedc7071a · outbound

This paper cites (2023, December).

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques (2023, December)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:27.609724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 151a0e4e-0a01-41c9-9c0a-c3b79a5728b6 · outbound

This paper cites Phase of Flight Classification in Aviation Safety Using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Phase of Flight Classification in Aviation Safety Using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:32:27.514553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3c49b9a-5a7a-471c-be4d-d3218675be54 · outbound

This paper cites Text Mining for Sentiment Analysis of Twitter Data.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Text Mining for Sentiment Analysis of Twitter Data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:27.598302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 50e92d0f-e99f-4826-b468-4cf7a979eaec · outbound

This paper cites Temporal topic modeling applied to aviation safety reports: A subject matter expert review,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Temporal topic modeling applied to aviation safety reports: A subject matter expert review,

Reference 13

Resolution: verified exact; doi, observed 2026-08-10T20:32:26.672563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7b1e784-29da-4d5f-94ce-dbc41f99c32d · outbound

This paper cites Latent dirichlet allocation,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Latent dirichlet allocation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.575483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3875a663-caf1-44df-8a4b-f45fd175eb80 · outbound

This paper cites Learning the parts of objects by non - negative matrix factorization,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Learning the parts of objects by non - negative matrix factorization,

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:32:26.578919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05973010-8889-4cb4-b441-1147e4ddad65 · outbound

This paper cites Using lda2vec Topic Modeling to Identify Latent Topics in Aviation Safety Reports,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Using lda2vec Topic Modeling to Identify Latent Topics in Aviation Safety Reports,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:32:27.358065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f073012-0aa8-4c38-bcd7-90011f384a83 · outbound

This paper cites A Survey of Topic Modeling in Text Mining,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques A Survey of Topic Modeling in Text Mining,

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:32:27.275764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79390d0e-b614-4f79-acf7-7dbb0f861ad3 · outbound

This paper cites Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing,

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:32:27.197995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67c20445-0f40-4993-a428-637d03f3b5d6 · outbound

This paper cites Document classification using nonnegative matrix factorization and underapproximation,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Document classification using nonnegative matrix factorization and underapproximation,

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:32:27.121841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e98a757-efe7-4fe0-a1b5-dbf8ec8d3f66 · outbound

This paper cites Hazard analysis: A deep learning and text mining framework for accident prevention,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Hazard analysis: A deep learning and text mining framework for accident prevention,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.597243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c69410a-811e-4666-b1cb-4e71f60e7a26 · outbound

This paper cites Application of structural topic modelling to aviation safety data,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Application of structural topic modelling to aviation safety data,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.600357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ed4513-3b15-4580-a7b3-ae406a73539b · outbound

This paper cites An introduction to latent semantic analysis,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques An introduction to latent semantic analysis,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.603822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd21b69-3662-4e34-9ad1-b116bcac11d4 · outbound

This paper cites Probabilistic Latent Semantic Analysis.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Probabilistic Latent Semantic Analysis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.606710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9834f8ed-419f-4039-a896-2e7728ebb42c · outbound

This paper cites Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:26.609849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e921c9fc-f06c-4387-9f80-bd41e44f2286 · outbound

This paper cites An Efficient Topic Modeling Approach for Text Mining and Information Retrieval through K-means Clustering,.

Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques An Efficient Topic Modeling Approach for Text Mining and Information Retrieval through K-means Clustering,

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:32:26.819691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.