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Paper Citation Record · LEDGER

A Digital Engineering Approach to Testing Modern AI and Complex Systems

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2411.17479.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.17479 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:07:51.287903Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9bfbc21-5855-4483-af88-0f990d3a467c · outbound

This paper cites Institutionalizing a Culture of Statistical Thinking in DoD Testing,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Institutionalizing a Culture of Statistical Thinking in DoD Testing,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.496767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 33e067ca-b65b-4d44-9b0b-78621e2c38bb · outbound

This paper cites Explainable AI: interpreting, explaining and visualizing deep learning.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Explainable AI: interpreting, explaining and visualizing deep learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.486554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.229950Z digest=sha256:3314395324a9e22fe7018f344889b0f38820cf43826f70ff514df0300c25a1e4

Observation a9073016-d028-4d37-a5d8-75efd46ac239 · outbound

This paper cites Test & Evaluation Management Guide, 6th Edition,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Test & Evaluation Management Guide, 6th Edition,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.476011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 845c51af-5b88-40ea-a256-93132d5c947f · outbound

This paper cites Introduction to Operational Availabiltiy Ao.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Introduction to Operational Availabiltiy Ao

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.465967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.236739Z digest=sha256:1bc4f8aa9ddcc1d0eb47401229b9495e8688c911e224b15ecf65f569b2a12245

Observation 4e27dce8-8f0d-4062-9ebf-7381c073bbcf · outbound

This paper cites Digital Engineering.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Digital Engineering

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.454740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.240705Z digest=sha256:42d99a41cb9931a49cafea518404d35167b1b9159f404785587db4f90f5a2b5c

Observation eb2e1f51-715b-486a-953a-a602071bfc36 · outbound

This paper cites B-21 Raider a Pathfinder for Digital Engineering Revolution.

A Digital Engineering Approach to Testing Modern AI and Complex Systems B-21 Raider a Pathfinder for Digital Engineering Revolution

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.444799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.244545Z digest=sha256:4be2174b21fb3d939170bcff31282c8d21924176a67b169860a3d4c46d7102cb

Observation 4ab4bc76-8b87-4b1b-be31-d233be5b732e · outbound

This paper cites Future fighter program poses key test for US Air Force’s design method.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Future fighter program poses key test for US Air Force’s design method

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.434778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.248283Z digest=sha256:938a1aa7b25cd0ea618af7748d46826db7759768002b39814e426b772ba435e4

Observation ace30dac-ecae-4993-ac91-c0270283664f · outbound

This paper cites “Digital Engineering.

A Digital Engineering Approach to Testing Modern AI and Complex Systems “Digital Engineering

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.424162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.251581Z digest=sha256:718b2b3c544e5a7b88b479293dc130b7f4ea7dc43380359f55e95977f745c8b0

Observation 50276a72-1b75-426f-b803-0c2c37013268 · outbound

This paper cites AFSIM: The Air Force Research Laboratory’s Approach to Making M&S Ubiquitous in the Weapon System Concept Development Process,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems AFSIM: The Air Force Research Laboratory’s Approach to Making M&S Ubiquitous in the Weapon System Concept Development Process,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.413600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.255725Z digest=sha256:ebdcff6190714010583709fee2749eac44e367b8a2f0c7e013d402b5bf5f3e3f

Observation fdb368a2-f1da-4757-aa62-5b721d01e101 · outbound

This paper cites The black swan: The impact of the highly improbable.

A Digital Engineering Approach to Testing Modern AI and Complex Systems The black swan: The impact of the highly improbable

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.403349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.259173Z digest=sha256:9dc096c76430a0648f8d9314f25f2939abe9e2088adb2f1cfe5807dbfb038aee

Observation c10af382-92c4-47af-b71f-cde57d96d68f · outbound

This paper cites The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.393391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a1fd9106-8422-4b3b-ae08-82bc2e1708dd · outbound

This paper cites Available: http://rfview.islinc.com.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Available: http://rfview.islinc.com

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.382831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.266142Z digest=sha256:bccf0512fcab2a037e5b573dda5aa882cfd93f62b6aca3dfeac6a9c635fdd030

Observation 0c3c6813-49ca-486f-a1dd-80ba6bbbcfd3 · outbound

This paper cites Space-Time Adaptive Processing for Radar,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Space-Time Adaptive Processing for Radar,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.369202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dd290dcd-b235-40e1-bd8d-3763de0cdbfc · outbound

This paper cites Explaining convolutional neural networks using softmax gradient layer-wise relevance propagation,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Explaining convolutional neural networks using softmax gradient layer-wise relevance propagation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.357698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.273610Z digest=sha256:8165e803f8efc1b7f7eb3386090adad06846d3c4f624ada89496426c41417db8

Observation 86774afb-04bd-4bb1-97e1-f4c9016db61e · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.347648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.277699Z digest=sha256:f2abe74cfd779fe2adc30f62bd548c116f96c7b131065d98d749ace5d66f90a8

Observation d53e7ff9-36db-4f12-a02e-6d58a1a86526 · outbound

This paper cites A brief overview of ChatGPT: The history, status quo and potential future development,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems A brief overview of ChatGPT: The history, status quo and potential future development,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.336170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.280966Z digest=sha256:ad1b5e2e69db74b321fab92a90717ae45f425eb1c7f6f9dd6e4ca91e5ac4b3b6

Observation beec9111-9aba-44e2-addf-a4a22b2f386c · outbound

This paper cites https://www.geeksforgeeks.org/conditional-generative- adversarial-network/.

A Digital Engineering Approach to Testing Modern AI and Complex Systems https://www.geeksforgeeks.org/conditional-generative- adversarial-network/

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.324997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:07:51.284451Z digest=sha256:9295ef58de50bc1a79b228ded47f564fd732b05e13c57e24f415f6aa1d8d136d

Observation a7d6ec63-6f4e-4959-9639-489332c2533e · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

A Digital Engineering Approach to Testing Modern AI and Complex Systems Image-to-image translation with conditional adversarial networks,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:07:51.313733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.