Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:25:56.279865Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:25:56.279865Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6c2a99cd-33b1-4237-8eb3-0dc129631cb4 · outbound
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
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.
Observation e7213a26-460b-4525-8fd3-092de1274d79 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Identification and Classification of Non-Functional Requirements from User Re views
Reference 2
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.
Observation ef335418-065f-4a66-87c4-3e5819067b1a · outbound
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
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.
Observation af62438b-0307-4710-ae52-9692f763d475 · outbound
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
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.
Observation 897c9bdf-8229-432f-9faa-b50e5ec4fe3a · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Automatically clas- sifying requirements from app stores: A preliminary study
Reference 5
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.
Observation 366a967b-b297-4e75-94b7-50bd68505cf4 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Prompt engineering with chatgpt: a guide fo r academic writers
Reference 6
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.
Observation 352eab02-4944-4546-9177-a7401dea531e · outbound
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
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.
Observation b651de79-523c-4dc4-9fa4-d9dcbcf1f5b4 · outbound
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
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.
Observation 0c9b9e5a-65ff-40e1-a3d0-4baf143b36fe · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0d98441-4b56-4b3f-b062-e839bf7615ce · outbound
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
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.
Observation 4eb9f117-8fb1-49bd-9e56-d6d96da3cd43 · outbound
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
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.
Observation 33874e41-34b9-4733-9fe5-be2b6af1bb16 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Better Zero-Shot Reasoning with Role-Play Prompting
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f92a7f9f-910d-4e0e-a617-a8d7ba82dde8 · outbound
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
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.
Observation d151e398-1f5c-4731-b324-284b912450f3 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8569bc91-47aa-42d7-af25-527d348b2eed · outbound
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
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.
Observation 4dc093f8-8c14-47cd-bf33-546acd93b635 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential App sto re mining for feature extraction: analyzing user reviews
Reference 16
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.
Observation 08ed12da-e474-45a4-a14d-4b835d38338f · outbound
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
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.
Observation dd6439c5-66c0-4ddf-9ff3-b20941a79861 · outbound
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
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.
Observation ef35342e-187c-4f03-ae9b-451c51330ec5 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Refining app reviews: Dataset, methodology, and evaluation
Reference 19
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.
Observation b754334c-ce6f-4c81-af84-290808c38ea3 · outbound
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
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.
Observation f33ea47e-e7ae-4cef-a647-01908a938daf · outbound
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
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.
Observation e267a09d-31fa-4521-b1d5-45297a43f84f · outbound
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
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.
Observation d255e9fb-1e24-46b2-9c4a-b45bdb1067a2 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Identification and classificati on of requirements from app user reviews
Reference 23
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.
Observation 40919bae-7dad-423a-86c7-e41f8d64ddf3 · outbound
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Unresolved cited work
Reference 24
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.
No inbound Pith citation observations are available.