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Paper Citation Record · LEDGER

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.04759.

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

pith.paper-citation-record.v1
2505.04759 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:25:56.279865Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

24 of 24 outbound references displayed

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  • unresolved4
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c2a99cd-33b1-4237-8eb3-0dc129631cb4 · outbound

This paper cites Does inv olving users in soft- ware development really influence system success? IEEE software, 30(6):17–23, 2013.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Does inv olving users in soft- ware development really influence system success? IEEE software, 30(6):17–23, 2013

Reference 1

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Observation e7213a26-460b-4525-8fd3-092de1274d79 · outbound

This paper cites Identification and Classification of Non-Functional Requirements from User Re views.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Identification and Classification of Non-Functional Requirements from User Re views

Reference 2

Resolution
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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.

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Observation ef335418-065f-4a66-87c4-3e5819067b1a · outbound

This paper cites User involvement in softw are development and system success: A systematic literature review.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential User involvement in softw are development and system success: A systematic literature review

Reference 3

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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.

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Observation af62438b-0307-4710-ae52-9692f763d475 · outbound

This paper cites Mining and searching app reviews for requirements engineering: Evaluation and replication studies.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Mining and searching app reviews for requirements engineering: Evaluation and replication studies

Reference 4

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verified fuzzy
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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.

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Observation 897c9bdf-8229-432f-9faa-b50e5ec4fe3a · outbound

This paper cites Automatically clas- sifying requirements from app stores: A preliminary study.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Automatically clas- sifying requirements from app stores: A preliminary study

Reference 5

Resolution
verified fuzzy
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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.

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Observation 366a967b-b297-4e75-94b7-50bd68505cf4 · outbound

This paper cites Prompt engineering with chatgpt: a guide fo r academic writers.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Prompt engineering with chatgpt: a guide fo r academic writers

Reference 6

Resolution
verified fuzzy
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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.

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Observation 352eab02-4944-4546-9177-a7401dea531e · outbound

This paper cites Evaluating pre-train ed models for user feedback analysis in software engineering: A study on c lassification of app- reviews.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Evaluating pre-train ed models for user feedback analysis in software engineering: A study on c lassification of app- reviews

Reference 7

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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.

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Observation b651de79-523c-4dc4-9fa4-d9dcbcf1f5b4 · outbound

This paper cites A critical review of la rge language models: Sensitivity, bias, and the path toward specialized ai.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential A critical review of la rge language models: Sensitivity, bias, and the path toward specialized ai

Reference 8

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verified fuzzy
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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.

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Observation 0c9b9e5a-65ff-40e1-a3d0-4baf143b36fe · outbound

This paper cites Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers

Reference 9

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Source-reported events for the cited work

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Observation b0d98441-4b56-4b3f-b062-e839bf7615ce · outbound

This paper cites Performance compariso n of word embedding methods in text classification for various number of feature s.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Performance compariso n of word embedding methods in text classification for various number of feature s

Reference 10

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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.

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Observation 4eb9f117-8fb1-49bd-9e56-d6d96da3cd43 · outbound

This paper cites Derivation of new readability formulas (automated readabi lity index, fog count and flesch reading ease formula) for navy enlisted personnel.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Derivation of new readability formulas (automated readabi lity index, fog count and flesch reading ease formula) for navy enlisted personnel

Reference 11

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verified fuzzy
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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.

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Observation 33874e41-34b9-4733-9fe5-be2b6af1bb16 · outbound

This paper cites Better Zero-Shot Reasoning with Role-Play Prompting.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Better Zero-Shot Reasoning with Role-Play Prompting

Reference 12

Resolution
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no resolver link, observed 2026-08-15T23:25:56.230455Z

Source-reported events for the cited work

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Observation f92a7f9f-910d-4e0e-a617-a8d7ba82dde8 · outbound

This paper cites As sessment of quality of experience (qoe) of image compression in social cloud com puting.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential As sessment of quality of experience (qoe) of image compression in social cloud com puting

Reference 13

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verified fuzzy
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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.

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Observation d151e398-1f5c-4731-b324-284b912450f3 · outbound

This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8569bc91-47aa-42d7-af25-527d348b2eed · outbound

This paper cites Automatic classification of non-functional re- quirements from augmented app user reviews.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Automatic classification of non-functional re- quirements from augmented app user reviews

Reference 15

Resolution
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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.

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Observation 4dc093f8-8c14-47cd-bf33-546acd93b635 · outbound

This paper cites App sto re mining for feature extraction: analyzing user reviews.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential App sto re mining for feature extraction: analyzing user reviews

Reference 16

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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.

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Observation 08ed12da-e474-45a4-a14d-4b835d38338f · outbound

This paper cites Harnessing large language models’ zero-shot and few-shot learning capabili ties for regulatory re- search.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Harnessing large language models’ zero-shot and few-shot learning capabili ties for regulatory re- search

Reference 17

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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.

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Observation dd6439c5-66c0-4ddf-9ff3-b20941a79861 · outbound

This paper cites Too many user-revi ews! what should app developers look at first? IEEE Transactions on Software Engineering , 47(2):367–378, 2019.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Too many user-revi ews! what should app developers look at first? IEEE Transactions on Software Engineering , 47(2):367–378, 2019

Reference 18

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verified fuzzy
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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.

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Observation ef35342e-187c-4f03-ae9b-451c51330ec5 · outbound

This paper cites Refining app reviews: Dataset, methodology, and evaluation.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Refining app reviews: Dataset, methodology, and evaluation

Reference 19

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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.

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Observation b754334c-ce6f-4c81-af84-290808c38ea3 · outbound

This paper cites Dcnr: A transfe r learning ap- proach for detecting and classifying non-functionalrequi rements from user re- views.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Dcnr: A transfe r learning ap- proach for detecting and classifying non-functionalrequi rements from user re- views

Reference 20

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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.

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Observation f33ea47e-e7ae-4cef-a647-01908a938daf · outbound

This paper cites Can app changelogs improve requirements classification fro m app reviews? an exploratory study.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Can app changelogs improve requirements classification fro m app reviews? an exploratory study

Reference 21

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verified fuzzy
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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.

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Observation e267a09d-31fa-4521-b1d5-45297a43f84f · outbound

This paper cites Chain-of-thought prompting eli cits reasoning in large language models, 2022.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Chain-of-thought prompting eli cits reasoning in large language models, 2022

Reference 22

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Source-reported events for the cited work

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Observation d255e9fb-1e24-46b2-9c4a-b45bdb1067a2 · outbound

This paper cites Identification and classificati on of requirements from app user reviews.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Identification and classificati on of requirements from app user reviews

Reference 23

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verified fuzzy
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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.

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Observation 40919bae-7dad-423a-86c7-e41f8d64ddf3 · outbound

This paper cites an unresolved cited work.

Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Unresolved cited work

Reference 24

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unresolved
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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.

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Pith citing papers

No inbound Pith citation observations are available.