Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:51:24.179781Z
Paper Citation Record · LEDGER
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability
As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2502.03511.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:21:31.725991Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T00:16:16.039225Z
Reference resolution
64 of 64 outbound references displayed
- verified exact21
- verified fuzzy26
- unresolved15
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- malformed identifier2
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3351cf96-0f22-4d03-97db-085afec4fc3f · outbound
This paper cites NASA Systems Engineering Handbook.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability NASA Systems Engineering Handbook
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3f62244-2a21-4fcb-b221-a2106d083dd1 · outbound
This paper cites Larson, D.
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.376996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dacc2389-8d76-4d7f-a8a3-413361b62f2b · outbound
This paper cites Systems Engineering and Analysis (5th Edition),.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Systems Engineering and Analysis (5th Edition),
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7ca15432-a399-4a68-8417-dc08fd4efa2c · outbound
This paper cites Architecting principles for systems-of-systems,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Architecting principles for systems-of-systems,
Reference 4
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f5de19a-d10c-4415-806c-ce287d0a9c5d · outbound
This paper cites Mission Engineering Guide,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Mission Engineering Guide,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.355305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cae022f2-a1b9-46eb-a66b-a0c1c80c4de5 · outbound
This paper cites A System-of-Systems perspective for information fusion system design and evaluation,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability A System-of-Systems perspective for information fusion system design and evaluation,
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.669584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b90753b0-5e2f-48d6-9c5d-32315edf0010 · outbound
This paper cites Foundational issues in engineering systems: A framing paper,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Foundational issues in engineering systems: A framing paper,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.344759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bde736e7-2779-4f81-aabe-69a6ce0656ab · outbound
This paper cites So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability So You Think Your System Is Complex?: Why and How Existing Complexity Measures Rarely Agree,
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.598837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5c73dc36-a3c2-41af-979e-2887b02e3a31 · outbound
This paper cites Defense acquisitions: Assessments of selected weapon programs,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Defense acquisitions: Assessments of selected weapon programs,
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 18e74508-a9cd-4f55-a985-1cb8795f93f7 · outbound
This paper cites NASA: Assessments of Major Projects,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability NASA: Assessments of Major Projects,
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 23c2f497-c50d-443b-8b45-6a70a45c5d89 · outbound
This paper cites Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Mission Engineering and Design Using Real-Time Strategy Games: An Explainable AI Approach,
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.501180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7a98e29c-9d8b-41aa-93af-7af7d5e2385c · outbound
This paper cites Conceptual, Mathematical, and Analytical Foundations for Mission Engineering and System of Systems Analysis,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Conceptual, Mathematical, and Analytical Foundations for Mission Engineering and System of Systems Analysis,
Reference 13
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a04512ff-b82f-4b2b-a2d2-14070a177167 · outbound
This paper cites Synthesizing Designs With Interpart Dependencies Using Hierarchical Generative Adversarial Networks,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Synthesizing Designs With Interpart Dependencies Using Hierarchical Generative Adversarial Networks,
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93524c34-f639-485b-abc9-b19940689cbc · outbound
This paper cites Deep Generative Models in Engineering Design: A Review,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Deep Generative Models in Engineering Design: A Review,
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed7ca73e-e6df-45e4-8ffa-d7b7260f38d6 · outbound
This paper cites Daphne: A Virtual Assistant for Designing Earth Observation Distributed Spacecraft Missions,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Daphne: A Virtual Assistant for Designing Earth Observation Distributed Spacecraft Missions,
Reference 16
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation caafca0a-dee9-40f5-ab3a-f768a8416930 · outbound
This paper cites Idea generation with Technology Semantic Network,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Idea generation with Technology Semantic Network,
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4922ae4-c96f-416d-a871-0e33860c5718 · outbound
This paper cites Semantic Networks for Engineering Design: State of the Art and Future Directions,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Semantic Networks for Engineering Design: State of the Art and Future Directions,
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.394597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 775d4af2-eddc-43a4-b05f-2d8887bba0b4 · outbound
This paper cites A commentary of GPT-3 in MIT Technology Review 2021,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability A commentary of GPT-3 in MIT Technology Review 2021,
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.381195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2230a54b-b757-496e-a821-07ab3889ff63 · outbound
This paper cites GPT-4 Passes the Bar Exam,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability GPT-4 Passes the Bar Exam,
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a8a2ce1-7a17-4442-a7ff-6a3e64ba5485 · outbound
This paper cites ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e7e0089-efe0-4d32-86db-8335e71047a8 · outbound
This paper cites Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models,
Reference 22
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T04:51:25.491972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2e083e30-4263-4b6e-bb91-e5f2d5cd69c3 · outbound
This paper cites Newell and H.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.300328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a95e7241-cf65-4e09-b819-0417a9f4ac29 · outbound
This paper cites The structure of ill structured problems,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability The structure of ill structured problems,
Reference 24
- Resolution
- malformed identifier
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fc077aa-15b3-4d88-96de-5773ea459aa4 · outbound
This paper cites The Architecture of Complexity,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability The Architecture of Complexity,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.291353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e08b98a7-24fc-4af5-b2e4-d0c03caf60e2 · outbound
This paper cites Bar-yam, Dynamics Of Complex Systems.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Bar-yam, Dynamics Of Complex Systems
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 580efea2-54a5-452b-b2bb-23801b1c3c16 · outbound
This paper cites Newell and H.
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ad598ec6-1e21-459c-9cfe-91fc1d7a064d · outbound
This paper cites GPT-3: Its Nature, Scope, Limits, and Consequences,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability GPT-3: Its Nature, Scope, Limits, and Consequences,
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87babe1c-d94f-4215-b964-4b7cd5aacfef · outbound
This paper cites Impact of Chat GPT on Scientific Research: Opportunities, Risks, Limitations, and Ethical 10 Issues,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Impact of Chat GPT on Scientific Research: Opportunities, Risks, Limitations, and Ethical 10 Issues,
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.343689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f4257f4-b230-4b84-a814-a68dccf849d0 · outbound
This paper cites Can Large Language Models Accelerate Digital Transformation by Generating Expert-Like Systems Engineering Artifacts? Insights from an Empirical Exploration,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Can Large Language Models Accelerate Digital Transformation by Generating Expert-Like Systems Engineering Artifacts? Insights from an Empirical Exploration,
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c44e1e0-f0b2-47ea-b1ce-2d2d7d6414fe · outbound
This paper cites Microfoundations of strategic problem formulation,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Microfoundations of strategic problem formulation,
Reference 31
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.325620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06d0657b-5eb7-4a67-b2ff-e6979b44f82b · outbound
This paper cites A facilitated expert-based approach to architecting ‘openable’ complex systems,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability A facilitated expert-based approach to architecting ‘openable’ complex systems,
Reference 32
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.314599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ed16e0ab-46f1-4e7d-924b-beec663a06ec · outbound
This paper cites Space mission analysis and design,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Space mission analysis and design,
Reference 33
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d89c6833-57cd-494b-8840-0109feb8d719 · outbound
This paper cites Towards a solver-aware systems architecting framework: leveraging experts, specialists and the crowd to design innovative complex systems,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Towards a solver-aware systems architecting framework: leveraging experts, specialists and the crowd to design innovative complex systems,
Reference 34
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.301486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e3c23d37-0595-4d49-a9b7-dc01ab4379a4 · outbound
This paper cites Understanding the differences between how novice and experienced designers approach design tasks,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Understanding the differences between how novice and experienced designers approach design tasks,
Reference 35
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.289823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f884b9d-26cd-48bd-8bdc-a4a3669eb534 · outbound
This paper cites Expertise in design: an overview,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Expertise in design: an overview,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.262348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b3e4c1c2-2a5a-438f-9d8a-281a914abb64 · outbound
This paper cites an unresolved cited work.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T04:51:26.250857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7199e643-ad60-49f1-87f2-6f72c1481a60 · outbound
This paper cites an unresolved cited work.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Unresolved cited work
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c67b86e6-2783-467e-9322-76131332255a · outbound
This paper cites Skill Gaps, Skill Shortages and Skill Mismatches: Evidence for the US,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Skill Gaps, Skill Shortages and Skill Mismatches: Evidence for the US,
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.277721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 37c65cb3-df03-482d-b543-406020db031d · outbound
This paper cites Estimation of the workload boundary in socio-technical infrastructure management systems: The case of Belgian railroads,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Estimation of the workload boundary in socio-technical infrastructure management systems: The case of Belgian railroads,
Reference 40
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.266753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e191cf9e-e9c8-4888-8c03-5ae84573a7f7 · outbound
This paper cites How does agency impact human-AI collaborative design space exploration? A case study on ship design with deep generative models,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability How does agency impact human-AI collaborative design space exploration? A case study on ship design with deep generative models,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.229592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2f1c17e6-f7fd-474a-ade0-04080ea2874e · outbound
This paper cites Past Themes – RASC-AL.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Past Themes – RASC-AL
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.218750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8eb94c4a-5ccc-4cb6-af17-75f5c58d3b62 · outbound
This paper cites MEG-2020.pdf.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.208422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 90f507e4-4d39-43d2-a116-673d7aeb97bb · outbound
This paper cites Mission Engineering Integration and Interoperability (I&I),.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Mission Engineering Integration and Interoperability (I&I),
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.197208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8685502b-c139-41c6-8b25-790594dafc15 · outbound
This paper cites National Aeronautics and Space Act of 1958 (Unamended).
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability National Aeronautics and Space Act of 1958 (Unamended)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.186494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a026ca8a-03c1-4296-8cb1-14cbe423ab04 · outbound
This paper cites Mission Areas and Core Capabilities | FEMA.gov.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Mission Areas and Core Capabilities | FEMA.gov
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.175470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a145ffd1-b42a-417d-9a14-0ed386f48132 · outbound
This paper cites Mission Engineering | CISA.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Mission Engineering | CISA
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.164485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cee9489c-1ba2-4691-a31e-b16d43ac1168 · outbound
This paper cites Kossiakoff, S.
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.153683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c9afe7da-72e5-4f9b-9725-7a96fac078cd · outbound
This paper cites A systems-theoretic articulation of stakeholder needs and system requirements,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability A systems-theoretic articulation of stakeholder needs and system requirements,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.142881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4e2a040e-0af6-443f-a6a6-03bb9dca9056 · outbound
This paper cites The concept of order of conflict in requirements engineering,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability The concept of order of conflict in requirements engineering,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.132530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cad278e0-5cc7-4b0a-9e6a-fe63e901512d · outbound
This paper cites an unresolved cited work.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T04:51:26.122229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 62cfa3cf-31bb-4a09-895e-ddbc57c53e2e · outbound
This paper cites On the criteria to be used in decomposing systems into modules,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability On the criteria to be used in decomposing systems into modules,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.112936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bbaa5ef4-d444-43e7-8d7d-6279a427171c · outbound
This paper cites The Dark Side of Modularity: How Decomposing Problems can Increase System Complexity,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability The Dark Side of Modularity: How Decomposing Problems can Increase System Complexity,
Reference 53
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.254933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ad02718a-204b-410d-b99b-3dcb47f5f57f · outbound
This paper cites Change propagation analysis in complex technical systems,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Change propagation analysis in complex technical systems,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.103618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 19fa5733-26c0-48d4-ba81-be01a14120be · outbound
This paper cites A systematic review of requirements change management,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability A systematic review of requirements change management,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.090806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1774ab85-57d5-472b-952f-d428622c871a · outbound
This paper cites PaDGAN: Learning to Generate High-Quality Novel Designs,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability PaDGAN: Learning to Generate High-Quality Novel Designs,
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:51:24.152261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcb2c793-f96c-4a90-8c4b-ae0bf089c3fb · outbound
This paper cites Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice,
Reference 57
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T04:51:25.038383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d058a4ae-5b2b-47ae-acef-e28c00323de8 · outbound
This paper cites DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:51:24.158748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f68c1ca-1807-4222-8174-8678266a1f80 · outbound
This paper cites Knowledge cutoff date of September 2021 - ChatGPT,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Knowledge cutoff date of September 2021 - ChatGPT,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.079446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a79b5768-4589-4853-b083-575c3820cfd5 · outbound
This paper cites Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects,
Reference 60
- Resolution
- verified exact
- doi, observed 2026-08-09T04:51:24.236768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 066bb237-41f5-4a8b-a00e-f0a29d86c3f3 · outbound
This paper cites LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T04:51:24.224051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 46e7ae22-2f77-45b3-8497-d6585aaa332c · outbound
This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:51:24.172520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b259b56b-a97f-406d-997b-6892a7f6be23 · outbound
This paper cites Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports,
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:51:24.176322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8321152-c1c4-44c1-98cc-6873d30e7169 · outbound
This paper cites Do ChatGPT 4o, 4, and 3.5 Generate ‘Similar’ Ratings? Findings and Implications,.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Do ChatGPT 4o, 4, and 3.5 Generate ‘Similar’ Ratings? Findings and Implications,
Reference 64
- Resolution
- verified exact
- arxiv_id_nonexistent, observed 2026-08-09T04:51:24.871199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3ce14061-34b0-4a06-abe1-299f77aa4304 · outbound
This paper cites Available: https://www.gao.gov/products/GAO-19-262SP.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability Available: https://www.gao.gov/products/GAO-19-262SP
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:51:26.311354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation 25cdf90d-3dca-42ca-8111-14e1f4fe176d · inbound
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 cites this paper.
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 Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability
Reference 123
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T21:21:31.762101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.