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Paper Citation Record · LEDGER

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2411.13118.

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

pith.paper-citation-record.v1
2411.13118 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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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.

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Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation c9a41cce-71cd-42b2-ae90-a1bad1f121ff · outbound

This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 1

Resolution
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This paper cites Efficient measurement of the user expe - rience of interactive products. how to use the user experience questionnaire (ueq).example: Spanish language version,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Efficient measurement of the user expe - rience of interactive products. how to use the user experience questionnaire (ueq).example: Spanish language version,

Reference 2

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 3

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Observation e5b9c5a3-d926-46ef-9043-15a106be10a4 · outbound

This paper cites Standardized usability questionnaires: Features and quality focus,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Standardized usability questionnaires: Features and quality focus,

Reference 4

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This paper cites Applicability of user experience and usability questionnaires,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Applicability of user experience and usability questionnaires,

Reference 5

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This paper cites On the importance of ux quality aspects for different product categories,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires On the importance of ux quality aspects for different product categories,

Reference 6

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Observation c2695e78-66cb-42c6-9c76-f2132130b92b · outbound

This paper cites A comparison of ux questionnaires - what is their underlying concept of user experience?.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A comparison of ux questionnaires - what is their underlying concept of user experience?

Reference 7

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This paper cites From usability to user experience,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires From usability to user experience,

Reference 8

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires The thing and i: Understanding the relation - ship between user and product,

Reference 9

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This paper cites Distributed Representations of Words and Phrases and their Compositionality.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Distributed Representations of Words and Phrases and their Compositionality

Reference 10

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Siamese CBOW: Optimizing Word Embeddings for Sentence Representations

Reference 11

Resolution
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Observation a6b52e65-d224-4c45-94a3-5e1dd92a8358 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 12

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Sentence similarity based on semantic nets and corpus statis - tics,

Reference 13

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A statistical approach to mechanized encoding and searching of literary information,

Reference 14

Resolution
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This paper cites A statistical interpretation of term specificity and its application in retrieval,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A statistical interpretation of term specificity and its application in retrieval,

Reference 15

Resolution
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Observation 26d40022-59e8-4490-b9c1-f1dfab44d185 · outbound

This paper cites Okapi at trec-3,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Okapi at trec-3,

Reference 16

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Observation 9a12a050-34da-43f6-9c49-1f563b2a6daf · outbound

This paper cites Indexing by latent semantic analysis,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Indexing by latent semantic analysis,

Reference 17

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Distributed representations of sen - tences and documents,

Reference 18

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Sentence-bert: Sentence embed- dings using siamese bert -networks,

Reference 19

Resolution
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Observation bcafdd02-2c95-4f85-a804-0e267c46fef8 · outbound

This paper cites Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Reference 20

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Observation feb73d92-19da-4835-b40b-af049155a9b8 · outbound

This paper cites Sentence Similarity Based on Contexts,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Sentence Similarity Based on Contexts,

Reference 21

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Empirical simi - larity,

Reference 22

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Observation 529a4b73-d043-4cca-b2a9-4bf0eeb9fd7f · outbound

This paper cites What causes the dependency between perceived aesthetics and perceived usability?,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires What causes the dependency between perceived aesthetics and perceived usability?,

Reference 23

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Apparent usability vs. inherent usability, chi’95 conference companion,

Reference 24

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Observation 4fe24638-847a-41bc-ab89-0ce8e78898dc · outbound

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Aesthetics and apparent usability: Empirically assessing cultural and methodological issues,

Reference 25

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Cognitive processes causing the relationship between aesthetics and usability,

Reference 26

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This paper cites The role of visual complexity and prototypi - cality regarding first impression of websites: Working towards understanding aesthetic judgments,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires The role of visual complexity and prototypi - cality regarding first impression of websites: Working towards understanding aesthetic judgments,

Reference 27

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This paper cites A test of the context dependency of three causal models of halo rater error.,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A test of the context dependency of three causal models of halo rater error.,

Reference 28

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Inferential beliefs in con- sumer evaluations: An assessment of alternative processing strategies,

Reference 29

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 30

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Formalising guidelines for the design of screen layouts,

Reference 31

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This paper cites A method of quantifying order in typographic design,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A method of quantifying order in typographic design,

Reference 32

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This paper cites Stan - dardized questionnaires for user experience evaluation: A systematic literature review,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Stan - dardized questionnaires for user experience evaluation: A systematic literature review,

Reference 33

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Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Construction and evaluation of a user experience questionnaire,

Reference 34

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This paper cites Ueq user experience questionnaire,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Ueq user experience questionnaire,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.203986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:53:16.718037Z digest=sha256:6c49e0fc8991e59fdbfcbdfa1f457c69342b129632a8944182e7f3ef5b48fdc9

Observation 95b5a748-820f-47ee-b2df-74bc57fb65b0 · outbound

This paper cites A proposed index of usability: A method for comparing the relative usability of different software systems,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A proposed index of usability: A method for comparing the relative usability of different software systems,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.187352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:53:16.722601Z digest=sha256:4705cdc0f06e2fb9270d93485f7da04c33b5b1ebb04cf0639c078ff42ee7b8c8

Observation e2affceb-efe1-4941-9663-d7482001c9f4 · outbound

This paper cites Schrepp, User Experience Questionnaires: How to use questionnaires to measure the user experience of your prod - ucts? KDP, ISBN-13: 979-8736459766, 2021.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Schrepp, User Experience Questionnaires: How to use questionnaires to measure the user experience of your prod - ucts? KDP, ISBN-13: 979-8736459766, 2021

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.727208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.727208Z digest=sha256:5aa1a3930689ef314d81d740f4e3c1d6e49ac9cd1a63fdb846b63828c009c8cd

Observation 45b0e184-3929-4372-820b-b02b2fa8424e · outbound

This paper cites Design and validation of a framework for the creation of user experience questionnaires,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Design and validation of a framework for the creation of user experience questionnaires,

Reference 38

Resolution
malformed identifier
no resolver link, observed 2026-08-12T16:53:16.731863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.731863Z digest=sha256:a2d7d7ef2cccca7ad5d42217a2097f3bf1853070bc239b9c6450605c6d36766c

Observation c1d8d2a5-0ccf-45a6-9fd3-96309148ff10 · outbound

This paper cites Ueq+ a modular extension of the user experience questionnaire,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Ueq+ a modular extension of the user experience questionnaire,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.149690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:53:16.736615Z digest=sha256:8dc6339a99238eeb8d0acafe52aab6b0254d9b50306a24b8b8ff669f8d9a7e3c

Observation 68707ef9-289f-46b4-9265-96d9b15849c4 · outbound

This paper cites Faktoren der user experience: Systematische u¨bersicht u¨ber produktrelevante ux-qualita¨tsaspekte,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Faktoren der user experience: Systematische u¨bersicht u¨ber produktrelevante ux-qualita¨tsaspekte,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.133734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:53:16.741351Z digest=sha256:298cb58da062fd58ebf3c5b402457f774b0c553b7555735e7bb2945b66141573

Observation d7661c0b-835d-47a0-96e9-7e804441f231 · outbound

This paper cites Quantifying user experience through self-reporting questionnaires: A systematic analysis of sentence similarity between the items of the measurement approaches,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Quantifying user experience through self-reporting questionnaires: A systematic analysis of sentence similarity between the items of the measurement approaches,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.117446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:53:16.745864Z digest=sha256:a9fa732b783fdc357a93aea517bdf704f63696b8f568be108b332af92ed7cf73

Observation 9f87190f-20dd-417f-ac2a-a764944e5d4f · outbound

This paper cites Applying augmented sbert and bertopic in ux research: A sentence similarity and topic model- ing approach to analyzing items from multiple questionnaires,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Applying augmented sbert and bertopic in ux research: A sentence similarity and topic model- ing approach to analyzing items from multiple questionnaires,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:53:17.101353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:53:16.750175Z digest=sha256:7b74ceb30e30dca0f0ee189ac0e1ca848cfb51be089cdf3f3177678ebf28e567

Observation a992dc62-73e2-4e72-ba6b-c5e90fe4f1e0 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.755097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.755097Z digest=sha256:b217991b5a4b3a21730d00fd5c63103f54a8ea15784cfa8e3578ef2a3b700648

Observation 4634e1e2-09ef-458f-9505-4b3a4d31be10 · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.759919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.759919Z digest=sha256:0cae3616f192670b21476d6d613a8043fcbd9007aba8da7a22090b72ac598f8e

Observation ff7c75c0-2fec-4583-9b68-ec0ebdc46ca8 · outbound

This paper cites The power of generative ai: A review of requirements, models, inputndash;output formats, evaluation metrics, and challenges,.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires The power of generative ai: A review of requirements, models, inputndash;output formats, evaluation metrics, and challenges,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.764618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.764618Z digest=sha256:5e63bffd67165b6ab9a1669dea86c837e6ae597023c285d14133b6e2b6d391fa

Observation 19ffa1cc-1ca7-438f-bc66-758ce79c7bde · outbound

This paper cites GPT-4 Technical Report.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires GPT-4 Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.774210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.774210Z digest=sha256:f7736f016ec06f396e1e046c0493c3da85720909f9522cf5c17c2bc5de95e2c7

Observation 7a150790-4be7-40b2-90a6-aa7f6dcdf531 · outbound

This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.583659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.583659Z digest=sha256:bd3468c98c0675c5b7c1e5be92743e5362f7f7ce8b9ff38d3453c76fece8f120

Observation 5f452ebd-c15f-41cf-b4b9-c2fa10751756 · outbound

This paper cites an unresolved cited work.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires Unresolved cited work

Reference 5903

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.769401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.769401Z digest=sha256:252e5951d550029c46077ffa006999d44f9a5537f2d5dbdf1bad5b5b7a071c01

Pith citing papers

No inbound Pith citation observations are available.