Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes | Paper Citation Record

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This paper cites Defense Acquisitions: Assessments of Selected Weapon Programs.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Defense Acquisitions: Assessments of Selected Weapon Programs

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This paper cites Navy Shipbuilding: Past Performance Provides Valuable Lessons for Future Investments.; 2018.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Navy Shipbuilding: Past Performance Provides Valuable Lessons for Future Investments.; 2018

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes F-35 Joint Strike Fighter: Development Is Nearly Complete, but Deficiencies Found in Testing Need to Be Resolved [Reissued with Revisions Jun

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This paper cites NASA: Assessments of Major Projects.; 2019.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes NASA: Assessments of Major Projects.; 2019

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Unresolved cited work

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This paper cites F-35 Joint Strike Fighter: More Actions Needed to Explain Cost Growth and Support Engine Modernization Decision.; 2023.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes F-35 Joint Strike Fighter: More Actions Needed to Explain Cost Growth and Support Engine Modernization Decision.; 2023

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This paper cites Why are megaprojects, including nuclear power plants, delivered overbudget and late? reasons and remedies.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Why are megaprojects, including nuclear power plants, delivered overbudget and late? reasons and remedies

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This paper cites Complexity Is in the Eye of the Beholder: How Representative Complexity Measures Respond to the Commonly-Held Beliefs of the Literature.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Complexity Is in the Eye of the Beholder: How Representative Complexity Measures Respond to the Commonly-Held Beliefs of the Literature

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes How to deal with the complexity of future cyber-physical systems? Designs

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Joint All Domain Command and Control: Background and Issues for Congress

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes AI4SE and SE4AI: A Research Roadmap

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes The magical number seven, plus or minus two: some limits on our capacity for processing information

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes The Architecture of Complexity

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes What Engineers Know and How They Know It: Analytical Studies from Aeronautical History

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This paper cites Does Open Innovation Open Doors for Underrepresented Groups to Contribute to Technology Innovation?: Evidence from a Space Robotics Challenge.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Does Open Innovation Open Doors for Underrepresented Groups to Contribute to Technology Innovation?: Evidence from a Space Robotics Challenge

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes A call for consensus on the use of representative model worlds in systems engineering and design

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Fate of Duplicated Neural Structures

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes TWELVE SYSTEMS ENGINEERING ROLES

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes The structure of ill structured problems

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Problem forming, problem finding and problem solving in design

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Elemental patterns of verification strategies

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Systems integration and architecting: An overview of principles, practices, and perspectives

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Requirements development, verification, and validation exhibited in famous failures

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes A Dynamic Theory of Organizational Knowledge Creation

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Organizational Learning: From Experience to Knowledge

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Transferring, translating, and transforming: An integrative framework for managing knowledge across boundaries

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Coping with changes: Causes, findings, and strategies

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Workload-based change propagation analysis in engineering design

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Information hiding in product development: the design churn effect

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Towards Developing Metrics to Evaluate Digital Engineering

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes DoD Digital Engineering Strategy.; 2018:36

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Digital engineering transformation across the Department of Defense

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Why Digital Transformations Fail: The Surprising Disciplines of How to Take Off and Stay Ahead

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Digital Transformation: How to Beat the 90% Failure Rate? IEEE Engineering Management Review

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Artificial Intelligence and Future of Systems Engineering

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Special Issue: Artificial Intelligence and Engineering Design

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes A functional basis for engineering design: reconciling and evolving previous efforts

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Deployment of an ontological framework of functional design knowledge

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Daphne: An intelligent assistant for architecting earth observing satellite systems

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Daphne: A virtual assistant for designing earth observation distributed spacecraft missions

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes A systematic review of intelligent assistants

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Interactive critiquing as a form of decision support: An empirical evaluation

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes SEDAR: expert critiquing system for flat and low-slope roof design and review

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes When faced with increasing complexity: the effectiveness of artificial intelligence assistance for drone design

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Decoding the agility of artificial intelligence-assisted human design teams

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Evaluating Designer Learning and Performance in Interactive Deep Generative Design

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Complex Problem Solving through Human-AI Collaboration: Literature Review on Research Contexts

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Can Large Language Models Accelerate Digital Transformation by Generating Expert-Like Systems Engineering Artifacts? Insights from an Empirical Exploration

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Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Mauve: Measuring the gap between neural text and human text using divergence frontiers

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This paper cites Leveraging Large Language Models for Tradespace Exploration.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Leveraging Large Language Models for Tradespace Exploration

Reference 50

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.890622Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b694bf6-5433-4e03-92dc-2c52ef61cbe9 · outbound

This paper cites Spacetransformers: Language modeling for space systems.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Spacetransformers: Language modeling for space systems

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.477384Z

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Unavailable: canonical work link unavailable.

Observation fd7a117e-d094-4692-b8d2-48e1074fcd01 · outbound

This paper cites SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.880150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5ec4e32-92a9-4789-a44f-bf82c80501fd · outbound

This paper cites an unresolved cited work.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.483884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36210ca4-9bc3-4b68-afd0-f76320771c93 · outbound

This paper cites Rule-based systems.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Rule-based systems

Reference 54

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:34.761380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 861747fb-a65f-40d8-8f56-afe05f6b2814 · outbound

This paper cites ELIZA—a computer program for the study of natural language communication between man and machine.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes ELIZA—a computer program for the study of natural language communication between man and machine

Reference 55

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:34.568166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6f95982-fe98-43d9-8364-3374dcf4ccea · outbound

This paper cites Foundations of Statistical Natural Language Processing.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Foundations of Statistical Natural Language Processing

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.493127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed66eece-5c0f-4e54-8b2c-2e5eeadf451d · outbound

This paper cites Prediction and Entropy of Printed English.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Prediction and Entropy of Printed English

Reference 57

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:34.202452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a609fa1-1651-4311-b076-083e713e763f · outbound

This paper cites The DRAGON system–An overview.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes The DRAGON system–An overview

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.502188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58dc5625-05fc-4018-bc16-a17407e41a6b · outbound

This paper cites Perplexity—a measure of the difficulty of speech recognition tasks.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Perplexity—a measure of the difficulty of speech recognition tasks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.505178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbf3323-bb6d-4a3c-804f-b44f2f165440 · outbound

This paper cites Learning representations by back-propagating errors.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Learning representations by back-propagating errors

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.508146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5218b279-3d28-421d-9a12-0f43792ad6bc · outbound

This paper cites Finding Structure in Time.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Finding Structure in Time

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.510927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3df6d6-6e93-46ec-af3e-ea5f9a31539e · outbound

This paper cites Long short-term memory.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Long short-term memory

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.513949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a37c3905-72a6-4f29-b7c9-bb5db0dbb048 · outbound

This paper cites Sequence to sequence learning with neural networks.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Sequence to sequence learning with neural networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.517977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation babd1ff2-c49a-4069-8cfd-2c0b278d9dba · outbound

This paper cites Attention is All you Need.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Attention is All you Need

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.521054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 706fad70-a390-498e-8bab-9b6660173371 · outbound

This paper cites Emergent Abilities of Large Language Models.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Emergent Abilities of Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.524723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be04e20-c3bb-4bee-bb58-1d1638216336 · outbound

This paper cites Policy shaping: Integrating human feedback with reinforcement learning.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Policy shaping: Integrating human feedback with reinforcement learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.528229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce7cf41e-a47b-4076-bc69-8eaa3f75886e · outbound

This paper cites AI Prompt Engineering Isn’t the Future.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes AI Prompt Engineering Isn’t the Future

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.531437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a155e085-b342-4b50-ad27-f95575f88f89 · outbound

This paper cites The role of natural language in requirements engineering.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes The role of natural language in requirements engineering

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.534986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 533bb273-164a-43a2-ad71-9133842ad5ef · outbound

This paper cites State of practice in requirements engineering: contemporary data.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes State of practice in requirements engineering: contemporary data

Reference 69

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.865527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0f182cb-ada2-46dd-bcab-440076dda0cd · outbound

This paper cites Natural language processing for requirements engineering: The best is yet to come.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Natural language processing for requirements engineering: The best is yet to come

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.541364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e35bf1-36d0-422e-b6b2-4f8c754a1df9 · outbound

This paper cites Norbert: Transfer learning for requirements classification.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Norbert: Transfer learning for requirements classification

Reference 71

Resolution: verified exact; raw_fallback, observed 2026-08-07T21:21:33.971043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 494af919-1f6f-4de4-a054-a5eaf86f07e7 · outbound

This paper cites Extracting and classifying requirements from software engineering contracts.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Extracting and classifying requirements from software engineering contracts

Reference 72

Resolution: verified exact; raw_fallback, observed 2026-08-07T21:21:33.829388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc9ec907-d0d3-47ae-8780-a52e03c4f097 · outbound

This paper cites Semantically enhanced software traceability using deep learning techniques.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Semantically enhanced software traceability using deep learning techniques

Reference 73

Resolution: verified exact; raw_fallback, observed 2026-08-07T21:21:33.679497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f3fceb8-640a-470d-a5e6-02868d525f7b · outbound

This paper cites Traceability transformed: Generating more accurate links with pre-trained bert models.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Traceability transformed: Generating more accurate links with pre-trained bert models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.553957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2fd4d7-387f-4d37-98f8-d4bd0a23f82c · outbound

This paper cites Eliciting attribute-level user needs from online reviews with deep language models and information extraction.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Eliciting attribute-level user needs from online reviews with deep language models and information extraction

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.561186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b002c71-6612-46cb-a20c-668282d5a5c4 · outbound

This paper cites DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.564223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5550eae4-0bc8-45f2-9e7a-174dcf34b446 · outbound

This paper cites Deep Generative Models in Engineering Design: A Review.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Deep Generative Models in Engineering Design: A Review

Reference 77

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.856152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b47b86b-0a00-4a4a-875d-d2538a148e41 · outbound

This paper cites Idea generation with Technology Semantic Network.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Idea generation with Technology Semantic Network

Reference 78

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.845810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4149be8e-d28c-4891-8aa8-7fc3a82c9443 · outbound

This paper cites PaDGAN: Learning to Generate High-Quality Novel Designs.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes PaDGAN: Learning to Generate High-Quality Novel Designs

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.574559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696497c4-f286-4eb1-8989-64ceb0a6936a · outbound

This paper cites Conceptual design generation using large language models.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Conceptual design generation using large language models

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.778499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49afecf7-9a62-466d-840a-c0a49910777a · outbound

This paper cites LLM4CAD: Multi-Modal Large Language Models For 3D Computer- Aided Design Generation.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes LLM4CAD: Multi-Modal Large Language Models For 3D Computer- Aided Design Generation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.769572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b77e145d-9732-4dd8-be7a-d6c44aad4b1f · outbound

This paper cites AutoTRIZ: Artificial Ideation with TRIZ and Large Language Models.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes AutoTRIZ: Artificial Ideation with TRIZ and Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-08-07T21:21:33.415782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad497963-2738-44a7-a92f-3f1c679c8655 · outbound

This paper cites Daphne: A Virtual Assistant for Designing Earth Observation Distributed Spacecraft Missions.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Daphne: A Virtual Assistant for Designing Earth Observation Distributed Spacecraft Missions

Reference 83

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:33.238506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a2af552-d696-4270-8c43-34823cb08637 · outbound

This paper cites Human Versus Artificial Intelligence: A Data- Driven Approach to Real-Time Process Management During Complex Engineering Design.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Human Versus Artificial Intelligence: A Data- Driven Approach to Real-Time Process Management During Complex Engineering Design

Reference 84

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.829208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f283df0-dd9d-4063-baac-bb625f1c82be · outbound

This paper cites Learning Comes from Experience: The Effects on Human Learning and Performance of a Virtual Assistant for Design Space Exploration.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Learning Comes from Experience: The Effects on Human Learning and Performance of a Virtual Assistant for Design Space Exploration

Reference 85

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.819289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88bc78ab-bc13-4391-a57e-a4caafafe89a · outbound

This paper cites Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice

Reference 86

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:33.056926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb3b4fa0-70dd-46fb-8262-fe9899f80a8e · outbound

This paper cites Trust, Workload, and Performance in Human–Artificial Intelligence Partnering: The Role of Artificial Intelligence Attributes in Solving Classification Problems.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Trust, Workload, and Performance in Human–Artificial Intelligence Partnering: The Role of Artificial Intelligence Attributes in Solving Classification Problems

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.760931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 136143cc-4c0e-4c95-b547-69aa10b0e349 · outbound

This paper cites A cautionary tale about the impact of AI on human design teams.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes A cautionary tale about the impact of AI on human design teams

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.753132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4377514d-e988-4d6a-8eb3-e3b6f02379ee · outbound

This paper cites A strategic decision-making architecture toward hybrid teams for dynamic competitive problems.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes A strategic decision-making architecture toward hybrid teams for dynamic competitive problems

Reference 89

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:32.807671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32140f68-1283-4633-80a9-2f7ffe0a4703 · outbound

This paper cites Unifying Large Language Models and Knowledge Graphs: A Roadmap.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Unifying Large Language Models and Knowledge Graphs: A Roadmap

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.745200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 151edcc7-549c-44af-b07b-1be72c6f8814 · outbound

This paper cites Data-Driven Innovation: What is it? IEEE Transactions on Engineering Management.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Data-Driven Innovation: What is it? IEEE Transactions on Engineering Management

Reference 91

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T21:21:32.623872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f9fd914-66a0-4144-a86c-8db46ad93232 · outbound

This paper cites Advancing Education on Digital Artifacts.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Advancing Education on Digital Artifacts

Reference 92

Resolution: verified exact; doi, observed 2026-08-07T21:21:31.809016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7998732-4080-4b3f-bf3f-2a33ba081ea6 · outbound

This paper cites Databricks.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Databricks

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.736597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f84d06a-b3ae-490e-b5f9-7b1fbebefa3d · outbound

This paper cites When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.626024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c5a296-668e-4f19-8289-d6055c906bd5 · outbound

This paper cites Unifying Large Language Models and Knowledge Graphs: A Roadmap.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Unifying Large Language Models and Knowledge Graphs: A Roadmap

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.612879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09f8bb1-5473-4bd9-b19e-5a8ebba6f4c8 · outbound

This paper cites BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.718724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d828285-a612-4aa1-bc13-7030d2bdd62a · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes An image is worth 16x16 words: Transformers for image recognition at scale

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.709695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4337ff6-a702-4e2c-a605-02e06dca69ae · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.642579Z

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Observation 0f4024a6-780f-4604-84d1-e360b2907b94 · outbound

This paper cites Scaling Laws for Transfer.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Scaling Laws for Transfer

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T21:21:31.646177Z

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Observation 0fd16609-b74a-4745-ac7a-1c5700a0f360 · outbound

This paper cites Training language models to follow instructions with human feedback.

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes Training language models to follow instructions with human feedback

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:21:35.727880Z

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Pith citing papers