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Paper Citation Record · LEDGER

The Role of XAI in Transforming Aeronautics and Aerospace Systems

As of 11 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.17440.

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

pith.paper-citation-record.v1
2412.17440 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:29:43.822376Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cd370b9-8af2-453d-a6ff-30379d13aae2 · outbound

This paper cites Eu regulations on algorithmic decision-making and a “right to explanation.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Eu regulations on algorithmic decision-making and a “right to explanation

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ed8f7159-1071-44aa-a1f7-4426afd6084e · outbound

This paper cites Can we open the black box of ai?.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Can we open the black box of ai?

Reference 2

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no resolver link, observed 2026-08-11T05:29:43.753926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e3e854c-9897-4ef6-8b88-e4143cb85d95 · outbound

This paper cites Xai—explainable artificial intelligence,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Xai—explainable artificial intelligence,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation accc9a54-1589-4d7f-9215-28a009adc26b · outbound

This paper cites A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:29:44.029005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:29:43.762955Z digest=sha256:e3ae7c74fea541fae902bcb1bbf6a10cbdeba82404f7e089a263faea916ac6bd

Observation 6d34894d-0697-4223-929b-7d79eadaea07 · outbound

This paper cites (explainable) artificial intelligence in aerospace safety-critical systems,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems (explainable) artificial intelligence in aerospace safety-critical systems,

Reference 5

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raw_fallback, observed 2026-08-11T05:29:44.017108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:29:43.767369Z digest=sha256:a90b070af4fd85889e83bffba09e307d6db37fe9cda63d5e940b578189748470

Observation 8f04deef-fd11-4b8c-8e1a-1af7c20fd740 · outbound

This paper cites Opportunities for explainable artificial intelligence in aerospace predictive maintenance,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Opportunities for explainable artificial intelligence in aerospace predictive maintenance,

Reference 6

Resolution
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raw_fallback, observed 2026-08-11T05:29:44.005371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9706ae1a-558c-4126-822e-34b95de2791a · outbound

This paper cites Explainable anomaly detection in spacecraft telemetry,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Explainable anomaly detection in spacecraft telemetry,

Reference 7

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raw_fallback, observed 2026-08-11T05:29:43.992897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2e9d2aab-5ed9-464c-b2e7-7417fbf21345 · outbound

This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai,

Reference 8

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raw_fallback, observed 2026-08-11T05:29:43.981252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:29:43.779183Z digest=sha256:7271af0758a1aa0242f4e4b0af89aff41b118108ea6a6baf5938744bdc644feb

Observation c611f7c0-4c05-436b-a267-a55f16de2f77 · outbound

This paper cites Molnar,Interpretable machine learning.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Molnar,Interpretable machine learning

Reference 9

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no resolver link, observed 2026-08-11T05:29:43.782575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8018551f-aaf9-4a50-aa0e-4b70754eadd1 · outbound

This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.

The Role of XAI in Transforming Aeronautics and Aerospace Systems The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-11T05:29:43.961839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6d1f0250-7235-4118-8b0b-b5dfe6155011 · outbound

This paper cites Explanation in artificial intelligence: Insights from the social sciences,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Explanation in artificial intelligence: Insights from the social sciences,

Reference 11

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no resolver link, observed 2026-08-11T05:29:43.790357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ff31da01-8f5a-487c-8c78-1efe8aca845a · outbound

This paper cites Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems

Reference 12

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no resolver link, observed 2026-08-11T05:29:43.793989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 79900c9d-5e10-4b25-9f60-86ba5ebc3ecc · outbound

This paper cites Methods for interpreting and understanding deep neural networks,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Methods for interpreting and understanding deep neural networks,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dee0add3-b3b9-4fc6-9506-c41f9d632ca2 · outbound

This paper cites Uncertainty-aware convolutional neural network for explainable artificial intelligence-assisted disaster damage assessment,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Uncertainty-aware convolutional neural network for explainable artificial intelligence-assisted disaster damage assessment,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T05:29:43.929644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 32a2f757-c278-4ad8-8bcc-344dcbc1435b · outbound

This paper cites A Survey of Predictive Maintenance: Systems, Purposes and Approaches.

The Role of XAI in Transforming Aeronautics and Aerospace Systems A Survey of Predictive Maintenance: Systems, Purposes and Approaches

Reference 15

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no resolver link, observed 2026-08-11T05:29:43.805920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87bd8a5d-aee7-4132-b5e6-966266519986 · outbound

This paper cites Evolving rule-based explainable artificial intelligence for unmanned aerial vehicles,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Evolving rule-based explainable artificial intelligence for unmanned aerial vehicles,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:29:43.918000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c1e0814e-5c7e-4c62-bce8-c2e4172f7c46 · outbound

This paper cites The quest of parsimonious xai: A human-agent architecture for explanation formulation,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems The quest of parsimonious xai: A human-agent architecture for explanation formulation,

Reference 17

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raw_fallback, observed 2026-08-11T05:29:43.905306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a3e8e051-03a3-4e3e-87fa-aef52f3c2ea4 · outbound

This paper cites Explainable artificial intelligence in drones: A brief review,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Explainable artificial intelligence in drones: A brief review,

Reference 18

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1c362265-99c7-4de3-921f-ffcd2be19fcc · outbound

This paper cites Efficient poverty mapping from high resolution remote sensing images,.

The Role of XAI in Transforming Aeronautics and Aerospace Systems Efficient poverty mapping from high resolution remote sensing images,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-11T05:29:43.878570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.