Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software | Paper Citation Record

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This paper cites Replication Package: Requirements-Augmented Genera- tion for Trustworthy Acceptance Testing of LLM-Based Software.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Replication Package: Requirements-Augmented Genera- tion for Trustworthy Acceptance Testing of LLM-Based Software

Reference 1

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This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software gpt-oss-120b & gpt-oss-20b Model Card

Reference 3

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Conformal Risk Control

Reference 4

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This paper cites Antonelli, Mariángeles Hozikian, G.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Antonelli, Mariángeles Hozikian, G

Reference 5

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

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This paper cites SCOPE: Selective Conformal Optimized Pairwise LLM Judging.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software SCOPE: Selective Conformal Optimized Pairwise LLM Judging

Reference 7

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 8

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 10

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 11

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Bjarnason, M

Reference 12

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This paper cites Weyssow, Junda He, Yu zeng Lyu, and David Lo.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Weyssow, Junda He, Yu zeng Lyu, and David Lo

Reference 13

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 14

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Zhou, Yanjie Zhao, Haoyu Wang, Shuai Wang, Xiao Chen, Tégawendé F

Reference 15

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software dos Santos, Sylvain Hallé, Fábio Petrillo, and Yann-Gaël Guéhéneuc

Reference 19

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Reference 20

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Reference 21

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 22

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software 2020.The future of software quality assurance

Reference 23

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Generating executable oracles to check conformance of client code to requirements of JDK Javadocs using LLMs

Reference 24

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 25

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement

Reference 27

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Reference 28

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Correlated Errors in Large Language Models

Reference 29

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Reference 30

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 31

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 32

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software MEGAnno+: A Human-LLM Collaborative Annotation System

Reference 33

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software doi:10.48550/arXiv.2411.16594

Reference 37

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Gribova, V

Reference 41

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Shashua, Kevin Leyton- Brown, and Y

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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Reference 45

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Conformal Language Modeling

Reference 46

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Conformal Prediction as Bayesian Quadrature

Reference 47

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software 2012.Case study research in software engineering: Guidelines and examples

Reference 50

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains

Reference 51

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues

Reference 60

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 61

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software 2018.Case study research and applications(6 ed.)

Reference 62

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software InProceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Reference 63

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Reference 64

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 65

Resolution: verified exact; doi, observed 2026-08-15T19:36:49.796404Z

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This paper cites A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T19:36:49.646630Z

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 67

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 68

Resolution: verified exact; doi, observed 2026-08-15T19:36:49.848930Z

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This paper cites Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models

Reference 69

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Retromorphic Testing: A New Approach to the Test Oracle Problem

Reference 70

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Large Language Models for Unit Testing: A Systematic Literature Review

Reference 73

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:36:49.765139Z

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Observation 1fc9675e-beb8-4827-bb35-d1c90ad074b0 · outbound

This paper cites an unresolved cited work.

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Unresolved cited work

Reference 75

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software International Journal of Advanced Computer Science and Applications8, 8 (2017)

Reference 2017

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Observation 8bf3dc8a-5259-4590-989e-83a99552dbcc · outbound

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Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software doi:10.1214/23-aos2276

Reference 2023

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This paper cites Frontiers in Robotics and AI11 (2024).

Requirements-Augmented Generation for Trustworthy Acceptance Testing of LLM-Based Software Frontiers in Robotics and AI11 (2024)

Reference 2024

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T19:36:51.433349Z

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Outbound references

Pith citing papers