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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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.229950Z digest=sha256:e7c86e86be854a36ef101f7104a07a66eeac02b55a2883390407fb5ed70e155b

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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.236739Z digest=sha256:e30d06c447437a5856504271889ea28d31909c46350aab06d247ba780524c372

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.240705Z digest=sha256:d792e0b36a8e10345bc2031e82f9819276773b5cce9d1cee757568793dd51468

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.244545Z digest=sha256:08e80e3756011eb779f2ffee671fa1f9fe67d0cf51f81c8fc6b8aef8e96e7f0b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.248283Z digest=sha256:eb11801f75e168f2143ce5c9ba1cd357cdbd5a5fe21c5ecc67b370c2f4ca6b0b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.251581Z digest=sha256:11f12cdc77a9a9dafe1bf760ce037be24608716d34ab1587c7c27cc9f5276ec5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.255725Z digest=sha256:d19217ec743e29870c405712d79811412697c43aa3e8e5f2e38c5b2c119e18ab

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.259173Z digest=sha256:a7ce690aa5a2b3dfe3e855ef111103239ce0af619eb8d4cd605b0b84e2a99863

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.262356Z digest=sha256:25974661ffeb7de9303941e3260b6749da58ddc9046312ee782279c80a4fdd09

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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.266142Z digest=sha256:db533a133bf424b181b44dc561598a317e37a21f46858de37bb19305585db9b0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.269841Z digest=sha256:83ee922a6cb42829de27c3db5f6e917a2838a031cbcf024179231fa92533c874

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.273610Z digest=sha256:847103813f862daea9ab148643bd90fb03eec883ca5b3973cc1b7b56ae8cf5aa

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.277699Z digest=sha256:7afe86b622da6c0b4c4f570f66b3d54fa58bd1873a04a58c53764ec927d7ed1e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.280966Z digest=sha256:6d14202af62813c32810fbe54945db2f1fd9a0c9b4142369564819e31e2c4420

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.284451Z digest=sha256:5e6d58e4f4e0d538859cbf3b64e7e321d1f4451fc4e90b9da1ef611b113ea630

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:07:51.287903Z digest=sha256:919ed7ba774198403f54b17179c2fdb7b5b38b58a07746606cce64e2527d49b7

Pith citing papers

No inbound Pith citation observations are available.