Paper Citation Record · LEDGER

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.13423.

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

pith.paper-citation-record.v1
2507.13423 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:31:21.950930Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

41 of 41 outbound references displayed

verified exact11
verified fuzzy12
unresolved11
parse uncertain0
malformed identifier2
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79fb3209-7a3e-45ce-9f61-e0d2cfa9173e · outbound

This paper cites Doc 4444 PANS-ATM,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Doc 4444 PANS-ATM,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:27.640451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0797310d-4b14-423c-85fb-1c4580ba7514 · outbound

This paper cites CAP 493: Manual of Air Traffic Services (MATS) Part 1,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity CAP 493: Manual of Air Traffic Services (MATS) Part 1,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:27.425841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57b48085-756c-42f3-b81c-41b338039a51 · outbound

This paper cites 2022 European Aviation Environmental Report,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity 2022 European Aviation Environmental Report,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:27.266555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc874614-0719-4bf5-8ff0-380eaea0dc06 · outbound

This paper cites Automation in Air Traffic Management,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Automation in Air Traffic Management,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:27.086582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5478273-4938-42da-9cc1-813dc7a66dfb · outbound

This paper cites Automation in Future Air Traffic Management: Effects of Decision Aid Reliability on Controller Performance and Mental Workload,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Automation in Future Air Traffic Management: Effects of Decision Aid Reliability on Controller Performance and Mental Workload,

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:31:26.952277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb8a80ba-c592-46c7-bd4d-a800d8222604 · outbound

This paper cites Determining Air Traffic Complexity – Challenges and Future Development,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Determining Air Traffic Complexity – Challenges and Future Development,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:18.891518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 479335f9-d54b-47f6-8a8e-0f3c4ab41e1a · outbound

This paper cites The Graph Neural Network Model,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity The Graph Neural Network Model,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:18.989372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97b4c635-5f11-4fff-9996-3d515319bc25 · outbound

This paper cites Towards an air traffic control complexity metric based on workspace constraints,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Towards an air traffic control complexity metric based on workspace constraints,

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:24.842574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b52f664f-1c6b-4277-8751-8a0a546b6719 · outbound

This paper cites A Spatial, Temporal Complexity Metric for Tactical Air Traffic Control,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity A Spatial, Temporal Complexity Metric for Tactical Air Traffic Control,

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T16:31:23.586134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7573c08a-d524-45ed-ab87-2d9f70d8d982 · outbound

This paper cites Probabilistic Air Traffic Complexity Analysis Considering Prediction Uncertainties in Traffic Scenarios,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Probabilistic Air Traffic Complexity Analysis Considering Prediction Uncertainties in Traffic Scenarios,

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T16:31:23.457230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation beb6750d-26bb-42ab-89c4-62aa76a947fd · outbound

This paper cites SpatiotemporalGraphIndicatorsforAirTrafficComplexityAnalysis,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity SpatiotemporalGraphIndicatorsforAirTrafficComplexityAnalysis,

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T16:31:23.230790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b04b17b-2620-4667-b194-47098571167a · outbound

This paper cites Air Traffic Complexity Assessment Based on Ordered Deep Metric,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Air Traffic Complexity Assessment Based on Ordered Deep Metric,

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T16:31:23.080540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3dbb042e-8649-4504-99c2-5353e6806fe6 · outbound

This paper cites Enhancing air traffic complexity assessment through deep metric learning: A CNN-Based approach,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Enhancing air traffic complexity assessment through deep metric learning: A CNN-Based approach,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:24.672401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81702032-74b2-45be-82f4-ab74b345e25e · outbound

This paper cites Gaze Analysis of Air Traffic Contoller Using AI-Based Conflict Detection,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Gaze Analysis of Air Traffic Contoller Using AI-Based Conflict Detection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:19.592363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b47b4a-bc8a-4269-b410-c0f88c0d595c · outbound

This paper cites The Impact of Automation on Air Traffic Controller’s Behaviors,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity The Impact of Automation on Air Traffic Controller’s Behaviors,

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T16:31:22.959704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c19dd4b-831e-46d8-85f5-6ee32780a95a · outbound

This paper cites AmachinelearningframeworkforpredictingATCconflictresolution strategiesforconformalautomation,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity AmachinelearningframeworkforpredictingATCconflictresolution strategiesforconformalautomation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:26.838103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e62771f8-0b40-438f-9203-56b4175d5625 · outbound

This paper cites Autonomous separation assurance in an high-density en route sector: A deep multi-agent reinforcement learning approach,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Autonomous separation assurance in an high-density en route sector: A deep multi-agent reinforcement learning approach,

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:24.451600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d807e87b-015c-492d-baa1-1251eebe3197 · outbound

This paper cites Scalable autonomous separation assurance with heterogeneous multi-agent reinforcement learning,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Scalable autonomous separation assurance with heterogeneous multi-agent reinforcement learning,

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:31:24.232546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a8a8fce-9b6a-4ae4-8f05-76698fcc6074 · outbound

This paper cites Random Forests,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Random Forests,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:20.079305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc0df3b5-009d-46d1-b861-608ae10c6d87 · outbound

This paper cites XGBoost: AScalableTreeBoostingSystem,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity XGBoost: AScalableTreeBoostingSystem,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:20.143450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1405257-429f-48eb-9380-4ee4c5c14990 · outbound

This paper cites Agent Prioritization for Autonomous Navigation,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Agent Prioritization for Autonomous Navigation,

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:23.942971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6ec8b72-5099-4abf-b0eb-db53ee8f96f3 · outbound

This paper cites CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:31:22.832237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f254dd93-8917-41a7-b935-e2c69968bef2 · outbound

This paper cites Introduction to Airspace,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Introduction to Airspace,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:26.676602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd59e6ec-1b02-4a78-9ba0-813ae5bad2cc · outbound

This paper cites CAP 413: Radiotelephony Manual - Civil Aviation Authority,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity CAP 413: Radiotelephony Manual - Civil Aviation Authority,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:26.564379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b930c037-cbd1-4dbf-b66e-891a60a4ca2b · outbound

This paper cites BADA: An advanced aircraft performance model for present and future ATM systems,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity BADA: An advanced aircraft performance model for present and future ATM systems,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:20.634574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2501bbc-8bc0-43b4-8989-e90100047e39 · outbound

This paper cites an unresolved cited work.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T16:31:22.693844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 216da373-a874-4bae-9f1e-35fc182258de · outbound

This paper cites Graph neural networks: A review of methods and applications,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Graph neural networks: A review of methods and applications,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:20.856535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374761d0-4501-42f3-b658-de34e3288f03 · outbound

This paper cites How Attentive are Graph Attention Networks?.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity How Attentive are Graph Attention Networks?

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:26.382140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 332cec7d-d6c6-4a98-b2eb-caddc4105362 · outbound

This paper cites an unresolved cited work.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:31:26.187439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76648268-51a9-4470-a718-a8da94706b4d · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Fast Graph Representation Learning with PyTorch Geometric

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:21.096496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe1b1c7-db40-4d17-a972-3e9ec4d07a9b · outbound

This paper cites DecoupledWeightDecayRegularization,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity DecoupledWeightDecayRegularization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:25.932985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10766bef-e316-4dc5-8601-bed7606076f9 · outbound

This paper cites RegressionQuantiles,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity RegressionQuantiles,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:21.331331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0230a9b2-47a4-4a94-80a1-66be8737e7b5 · outbound

This paper cites Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:25.528372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3158bd26-8a34-436d-909b-c3c05b2f1834 · outbound

This paper cites Regularization Strategies for Quantile Regression.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Regularization Strategies for Quantile Regression

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:31:22.567027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61d9e0e8-2471-4746-88ab-8b571e11cbb3 · outbound

This paper cites A review of boosting methods for imbalanced data classification,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity A review of boosting methods for imbalanced data classification,

Reference 35

Resolution: verified exact; doi, observed 2026-08-06T16:31:22.415234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation acb9c9d9-31c5-4dd2-afab-4ce6fb3e6ed6 · outbound

This paper cites Weighting Methods for Rare Event Identification From Imbalanced Datasets,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Weighting Methods for Rare Event Identification From Imbalanced Datasets,

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:31:23.796177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66617780-e364-4930-a0e7-bb36d56b6fda · outbound

This paper cites an unresolved cited work.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Unresolved cited work

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T16:31:22.252648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2afb873-68e0-4ddb-82b0-9d22f13d9817 · outbound

This paper cites an unresolved cited work.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Unresolved cited work

Reference 38

Resolution: verified exact; doi, observed 2026-08-06T16:31:22.099386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c97a313a-c863-49d3-9bb5-8e54b1df5abb · outbound

This paper cites On Random Graphs I,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity On Random Graphs I,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:25.289540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 761f1973-2be1-4afa-a81b-f06b65250d5d · outbound

This paper cites NATS selects Altran Praxis to support major air traffic control system,.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity NATS selects Altran Praxis to support major air traffic control system,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:31:25.027175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17c46620-df9b-4f73-a202-a2f34f7910ad · outbound

This paper cites an unresolved cited work.

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:31:25.698086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.