Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:53:54.938567Z
Paper Citation Record · LEDGER
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering
As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2501.06837.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:41:44.896555Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
32 of 32 outbound references displayed
- verified exact2
- verified fuzzy29
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
Observation 8545df2b-5a67-4330-b3f5-114f1a15195b · outbound
This paper cites Quality in web engineering.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Quality in web engineering
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.449840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10f5080d-d628-4f7d-b201-f806b9591156 · outbound
This paper cites Applications of automated model’s extraction in enterprise systems.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Applications of automated model’s extraction in enterprise systems
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.436247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 80d50939-7f88-447d-ab1a-a529c8b081d1 · outbound
This paper cites Revolutionizing software testing: The impact of AI, ML, and IoT.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Revolutionizing software testing: The impact of AI, ML, and IoT
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.421575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0152a90b-4504-4fd4-b8ab-a2794a65b445 · outbound
This paper cites Artificial intelligence in software testing.International Journal of Innovative Science and Research Technology, pages 616–619, 2024.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Artificial intelligence in software testing.International Journal of Innovative Science and Research Technology, pages 616–619, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.407518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 156785d4-7928-40f0-97a0-f80e3269d37e · outbound
This paper cites An empirical study to compare three web test automation approaches: NLP-based, programmable, and capture&replay.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering An empirical study to compare three web test automation approaches: NLP-based, programmable, and capture&replay
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.395648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c5548010-a699-4611-ab02-86a3f4f769e0 · outbound
This paper cites AI-powered software testing: The impact of large language models on testing methodologies.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering AI-powered software testing: The impact of large language models on testing methodologies
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.383984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ccc77aab-e274-4b44-b69c-6cdf7aeddbef · outbound
This paper cites Software testing in the era of AI: Leveraging machine learning and automation for efficient quality assurance.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Software testing in the era of AI: Leveraging machine learning and automation for efficient quality assurance
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.371720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b2e893d8-a866-4483-b82b-8485c2d6f928 · outbound
This paper cites A comprehensive enterprise system metamodel for quality assurance.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering A comprehensive enterprise system metamodel for quality assurance
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.358922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ba9f96e7-97ed-48fc-8169-1fd21fdf918c · outbound
This paper cites Natural language processing-based software testing: A systematic literature review.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Natural language processing-based software testing: A systematic literature review
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.346469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 13f89742-926b-4864-9683-e93e9a1cdb42 · outbound
This paper cites Large language models for software engineering: Survey and open problems.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Large language models for software engineering: Survey and open problems
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.332646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7272ae3b-e2d2-4efc-8b61-7f416c3a9dc4 · outbound
This paper cites Software testing with large language models: Survey, landscape, and vision.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Software testing with large language models: Survey, landscape, and vision
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.319169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 758a5263-393f-4360-84c8-0c99dc1a97c5 · outbound
This paper cites A conceptual framework for quality assurance of LLM-based socio-critical systems.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering A conceptual framework for quality assurance of LLM-based socio-critical systems
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.306016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a8af9da3-0932-45e9-a8dd-45acadf37fdf · outbound
This paper cites LLM for test script generation and migration: Challenges, capabilities, and opportunities.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering LLM for test script generation and migration: Challenges, capabilities, and opportunities
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.293309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 43ed1991-810a-4ad1-8795-0302709dbc77 · outbound
This paper cites A Case Study on Test Case Construction with Large Language Models: Unveiling Practical Insights and Challenges.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering A Case Study on Test Case Construction with Large Language Models: Unveiling Practical Insights and Challenges
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:53:55.009100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7673af47-9906-4aad-a64c-84d30b1b3fa6 · outbound
This paper cites Automated test case generation from requirements: A systematic literature review.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Automated test case generation from requirements: A systematic literature review
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.279526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 237816ab-3137-488e-8fa0-a1c6e617ccba · outbound
This paper cites Requirement-based automated test case generation: Systematic literature review.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Requirement-based automated test case generation: Systematic literature review
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.267375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c8fcf0e9-995c-4095-8c4d-438321a28bb3 · outbound
This paper cites A semi-automated approach for requirement-based early validation of flight control platforms.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering A semi-automated approach for requirement-based early validation of flight control platforms
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.254773Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 90b5bcda-3d21-46ce-b8f5-6cf6e0b35ed8 · outbound
This paper cites Functional test generation from ui test scenarios using reinforcement learning for android applications.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Functional test generation from ui test scenarios using reinforcement learning for android applications
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.236530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f52f5a7b-711b-4bc6-ad4c-c6b023d142f1 · outbound
This paper cites Web program testing using selenium python: Best practices and effective approaches.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Web program testing using selenium python: Best practices and effective approaches
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.221395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6246fa36-da55-4e3a-9dc5-1bdd49173bba · outbound
This paper cites Automated testing of web project functionality with using of error propagation analysis.Computer Systems and Information Technologies, 2023.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Automated testing of web project functionality with using of error propagation analysis.Computer Systems and Information Technologies, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.204073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 78c41c34-3e02-4a9b-baab-9abf6bcae529 · outbound
This paper cites Automated functional testing pada api menggunakan keyword driven framework.Journal of Informatics and Communication Technology, 2021.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Automated functional testing pada api menggunakan keyword driven framework.Journal of Informatics and Communication Technology, 2021
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.187442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fb2fbf5a-aa89-45b7-82c1-cd63b788adc7 · outbound
This paper cites Automating test oracles from restricted natural language agile requirements.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Automating test oracles from restricted natural language agile requirements
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.171679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b209b59f-a3bd-4d6f-9304-aa9807ad1066 · outbound
This paper cites A bert-based transfer learning approach to text classification on software requirements specifications.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering A bert-based transfer learning approach to text classification on software requirements specifications
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.155995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation de7aaeee-bbf9-4349-b23e-55e25c8b03b7 · outbound
This paper cites User stories and natural language processing: A systematic literature review.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering User stories and natural language processing: A systematic literature review
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.139390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8579411f-e88d-4a62-869b-6f3a46c9c299 · outbound
This paper cites MuFBDTester: A mutation-based test sequence generator for FBD programs implementing nuclear power plant software.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering MuFBDTester: A mutation-based test sequence generator for FBD programs implementing nuclear power plant software
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.119965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63c8cd5e-721c-4f14-81c9-b1cddd4cf88a · outbound
This paper cites Software test case generation using natural language processing (NLP): A systematic literature review.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Software test case generation using natural language processing (NLP): A systematic literature review
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.101900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 58ddc8e0-d0ca-4d6a-883d-d82cd397ea39 · outbound
This paper cites An empirical study to compare three web test automation approaches: NLP-based, programmable, and capture&replay.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering An empirical study to compare three web test automation approaches: NLP-based, programmable, and capture&replay
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.086539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e2e0157a-9029-40eb-b89b-f1d0c0d586d6 · outbound
This paper cites an unresolved cited work.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:53:55.069838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7ce05371-c954-4652-95d4-7d1e2330e11c · outbound
This paper cites Chen, Gunvant Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid, and Jae Ho Sohn.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Chen, Gunvant Chaudhari, Thienkhai Vu, Youngho Seo, Jared Narvid, and Jae Ho Sohn
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.055517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cadceeee-22fa-4c09-92b4-6ee8ac920e0c · outbound
This paper cites Natural language processing for assessing quality indicators in free-text colonoscopy and pathology reports: Development and usability study.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Natural language processing for assessing quality indicators in free-text colonoscopy and pathology reports: Development and usability study
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.041992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f22bc29c-73aa-44de-914b-f792cd863043 · outbound
This paper cites Tignanelli, Greg Silverman, Elizabeth Lindemann, A.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Tignanelli, Greg Silverman, Elizabeth Lindemann, A
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:53:55.027430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b64b9294-45de-46d1-b87c-9c319ef92fb4 · outbound
This paper cites AEON: A Method for Automatic Evaluation of NLP Test Cases.
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering AEON: A Method for Automatic Evaluation of NLP Test Cases
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:53:54.987738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 721e627e-7981-4793-8f3c-776a7b4b92af · inbound
AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions cites this paper.
AI-Driven Tools in Modern Software Quality Assurance: An Assessment of Benefits, Challenges, and Future Directions An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:41:46.899446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.