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Paper Citation Record · LEDGER

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2508.07163.

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

pith.paper-citation-record.v1
2508.07163 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:19:28.321846Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

47 of 47 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c98013e-90e5-4929-abfd-8434a8a2520f · outbound

This paper cites Neurosymbolic reinforcement learning and planning: A survey.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Neurosymbolic reinforcement learning and planning: A survey

Reference 1

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Observation f5b30d08-8f08-46b9-a7d2-c0ec237ec073 · outbound

This paper cites Transforming healthcare delivery with advanced air mobility: A rural study with gis-based optimization.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Transforming healthcare delivery with advanced air mobility: A rural study with gis-based optimization

Reference 5

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Observation 08a3018c-e08a-48cf-91f3-8ac56ac54ead · outbound

This paper cites A reinforcement learning approach to vehicle coordination for structured advanced air mo- bility.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey A reinforcement learning approach to vehicle coordination for structured advanced air mo- bility

Reference 7

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Observation 91e67d41-b229-417f-a133-750f090a92b1 · outbound

This paper cites Cellular connectivity for ad- vanced air mobility: Use cases and beamforming ap- proaches.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Cellular connectivity for ad- vanced air mobility: Use cases and beamforming ap- proaches

Reference 8

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Observation 39f402d3-e88c-4d07-a35b-192649766fcd · outbound

This paper cites Power electronic converters in electric aircraft: Current status, challenges, and emerg- ing technologies.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Power electronic converters in electric aircraft: Current status, challenges, and emerg- ing technologies

Reference 9

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Source-reported events for the cited work

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Observation 6a9142ca-57f1-409a-b28e-5c4edaac9333 · outbound

This paper cites Bias and discrimi- nation in ai: a cross-disciplinary perspective.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Bias and discrimi- nation in ai: a cross-disciplinary perspective

Reference 12

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Source-reported events for the cited work

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Observation bf25c41c-0b07-4bb9-acba-dd37739ae2da · outbound

This paper cites Neurosymbolic ai: The 3 rd wave.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Neurosymbolic ai: The 3 rd wave

Reference 13

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Observation 4e6300f3-2165-4fa4-8aa0-a113786e015b · outbound

This paper cites Neuro-symbolic reasoning in the traffic domain.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Neuro-symbolic reasoning in the traffic domain

Reference 14

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Observation b14ba779-247f-43b8-83cd-6fce30393f0e · outbound

This paper cites Advanced air mobility: Opportunities and challenges de- ploying evtols for air ambulance service.Applied Sciences, 12(3):1183,.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Advanced air mobility: Opportunities and challenges de- ploying evtols for air ambulance service.Applied Sciences, 12(3):1183,

Reference 15

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Source-reported events for the cited work

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Observation 927ede10-e722-46ec-a527-8d5e52a36b73 · outbound

This paper cites Advanced air mobility: Demand analysis and market potential of the airport shuttle and air taxi markets.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Advanced air mobility: Demand analysis and market potential of the airport shuttle and air taxi markets

Reference 16

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Observation ac1c0bf7-3ade-4950-baaf-ccf687fb3fef · outbound

This paper cites On the use of neurosymbolic ai for defending against cyber attacks.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey On the use of neurosymbolic ai for defending against cyber attacks

Reference 17

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Observation 7b2c9789-0aef-4ea3-a26f-f4e857ac49fe · outbound

This paper cites V2v uas communications and use cases for advanced air mobility.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey V2v uas communications and use cases for advanced air mobility

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 618a2944-f2b1-4452-9f4e-73f134ed92e9 · outbound

This paper cites Neuro-symbolic ai for military applica- tions.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Neuro-symbolic ai for military applica- tions

Reference 19

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Source-reported events for the cited work

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Observation bf5d90b9-9111-4b65-9fa1-06116f9942af · outbound

This paper cites Uam vision concept of operations (conops) uam maturity level (uml).

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Uam vision concept of operations (conops) uam maturity level (uml)

Reference 20

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Observation 3c0968e5-ef79-47b9-adac-a8d477f9e290 · outbound

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Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Unresolved cited work

Reference 21

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Observation aba3b8b0-d7a5-459e-8556-0bcd6087bb2e · outbound

This paper cites Nasa concept vehicles and the engineering of advanced air mo- bility aircraft.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Nasa concept vehicles and the engineering of advanced air mo- bility aircraft

Reference 23

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Observation c32f2608-eb45-4ad4-a635-c7b83b881f07 · outbound

This paper cites Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation

Reference 24

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Observation ef9ff7df-6dcc-4992-9732-8ee3f1f591b9 · outbound

This paper cites The third ai summer: Aaai robert s.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey The third ai summer: Aaai robert s

Reference 25

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Observation 1084589d-cab3-4b64-9c59-3fc80a044aa8 · outbound

This paper cites Advanced sensor technologies in cavs for traditional and smart road condition monitoring: A review.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Advanced sensor technologies in cavs for traditional and smart road condition monitoring: A review

Reference 26

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Observation d894f749-143d-4d10-9103-185a198de5f3 · outbound

This paper cites A holistic review of the current state of research on air- craft design concepts and consideration for advanced air mobility applications.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey A holistic review of the current state of research on air- craft design concepts and consideration for advanced air mobility applications

Reference 27

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Observation dbbe5d6f-2a1e-4c81-8230-85f86c9b5def · outbound

This paper cites Reinforcement Learning with External Knowledge by using Logical Neural Networks.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Reinforcement Learning with External Knowledge by using Logical Neural Networks

Reference 28

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Observation 811fe8ae-5e5c-4af2-9a8b-582331f872f3 · outbound

This paper cites Probabilistic mission design in neuro-symbolic systems.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Probabilistic mission design in neuro-symbolic systems

Reference 29

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Observation d62daa17-8535-47d4-9fd2-26756801f121 · outbound

This paper cites Demand analysis in urban air mobility: A literature review.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Demand analysis in urban air mobility: A literature review

Reference 30

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Observation 4b59df2a-666c-4fa7-9f47-a66331af2832 · outbound

This paper cites The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Reference 31

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Observation ccf430e7-f0bb-4b26-a17d-53fd196cc909 · outbound

This paper cites Digital twin approach for integrated airspace management with applications to advanced air mobility services.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Digital twin approach for integrated airspace management with applications to advanced air mobility services

Reference 33

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Observation 27c4df52-8903-432c-b289-46d0bc69ac79 · outbound

This paper cites In-time Aviation Safety Management: Challenges and Research for an Evolving Aviation System.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey In-time Aviation Safety Management: Challenges and Research for an Evolving Aviation System

Reference 34

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This paper cites Accountability in artificial intel- ligence: what it is and how it works.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Accountability in artificial intel- ligence: what it is and how it works

Reference 36

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 086c3ed1-b789-48b4-8235-932b1d9505e5 · outbound

This paper cites Potential cyberattacks on automated vehicles.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Potential cyberattacks on automated vehicles

Reference 37

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Observation 21adb21b-e447-4e82-a92e-cd76434742ec · outbound

This paper cites Urban air mobility community noise test plan- ning.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Urban air mobility community noise test plan- ning

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7e5640a8-b0cc-4060-b6fb-6755f78d4461 · outbound

This paper cites Towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning ap- proach.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Towards safe autonomous driving policies using a neuro-symbolic deep reinforcement learning ap- proach

Reference 40

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 32840759-45a4-4b48-92f0-265d26c22e95 · outbound

This paper cites Vtol urban air mobility concept vehicles for technology development.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Vtol urban air mobility concept vehicles for technology development

Reference 41

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5d79a8f2-39f4-4d64-92aa-af2950d05d36 · outbound

This paper cites Interaction with industrial digital twin us- ing neuro-symbolic reasoning.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Interaction with industrial digital twin us- ing neuro-symbolic reasoning

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6839d60b-d25c-4ebc-9ac0-5fc986979971 · outbound

This paper cites A data & reasoning fabric to en- able advanced air mobility.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey A data & reasoning fabric to en- able advanced air mobility

Reference 43

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4c4c93f0-3881-4de6-adef-a1cd688d7572 · outbound

This paper cites Towards data-and knowledge-driven ai: a survey on neuro- symbolic computing.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Towards data-and knowledge-driven ai: a survey on neuro- symbolic computing

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.648930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.310596Z digest=sha256:668754eb7e45de1afd9b6840f46242212ac4368cf4bdfca03cbcbfa3537021b8

Observation aba8e191-18d6-476e-92ed-d339ec070242 · outbound

This paper cites Optimized fault diagnosis based on fmea-style cbr and bn for embedded software system.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Optimized fault diagnosis based on fmea-style cbr and bn for embedded software system

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.638015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.314520Z digest=sha256:57abc9f99009b14fd2490366ad4a3e9a973d9a9d7dc73b788469fa033fb7cef2

Observation de310990-de6a-4a2f-9432-c30c10a28042 · outbound

This paper cites Risk perceptions using urban and advanced air mobility (uam/aam) by applying a mixed method approach.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Risk perceptions using urban and advanced air mobility (uam/aam) by applying a mixed method approach

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.625922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.318223Z digest=sha256:c453c404ef7532162e91125923e0758623a3a475e81ba3367037cbc5e7ef6c6e

Observation 2b1d22d4-da7e-4a2e-8f23-c653e9ac51eb · outbound

This paper cites A survey on neural-symbolic learn- ing systems.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey A survey on neural-symbolic learn- ing systems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.614128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.321846Z digest=sha256:b98c927d64fddde9778d6007bcbbd4bf4dd2da1f7ec92a155d3df234d51b242e

Observation af1d6475-5916-45e2-8b53-b9e1eea5b72a · outbound

This paper cites Addressing the emer- gence of drones–a policy development framework for regional drone transportation systems.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Addressing the emer- gence of drones–a policy development framework for regional drone transportation systems

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.703256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.290203Z digest=sha256:1850ad07067fdce3705ea75a4d551b2b5fbab52dfb2863d0d6ed393fcc4770ff

Observation 474e0ab5-ae66-4b94-9a2e-e74036c01cd9 · outbound

This paper cites Artificial-intelligence-based maintenance decision-making and optimization for multi- state component systems.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Artificial-intelligence-based maintenance decision-making and optimization for multi- state component systems

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.734775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.279428Z digest=sha256:5014987fabb7a88ca66b4da28a50d8d59d61c9ca18c13c5a475504a4f59364d0

Observation 2b4b0a36-43f2-4c8d-8ffd-16e4f2a9ea3a · outbound

This paper cites Characterizing performance tradeoffs from air traffic man- agement services for advanced air mobility.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Characterizing performance tradeoffs from air traffic man- agement services for advanced air mobility

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.764449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.269143Z digest=sha256:7611a999336fe575f3ad7ed8e542c4dc2e56ddc6e5043bcc52ab616b864da17d

Observation 1ea2e629-b034-4f30-826a-f6ae89d54567 · outbound

This paper cites Benefits of advanced air mobility for society and environment: A case study of ohio.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Benefits of advanced air mobility for society and environment: A case study of ohio

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.948528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.187771Z digest=sha256:56f673e717cd6ab4cf4da5601c78ce00e29b50651db25572861291a4b0d04500

Observation df87ebdd-d5ac-4eb5-84eb-f6ce9c505879 · outbound

This paper cites In-time system-wide safety assurance (issa) concept of operations and design considerations for urban air mobility (uam).

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey In-time system-wide safety assurance (issa) concept of operations and design considerations for urban air mobility (uam)

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.938652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.191207Z digest=sha256:2b210d03682e79375f4a92e2f62d19698483c5c8538a433416146d6bc17f09ce

Observation 9db419bf-d04f-487b-b8b8-b06c13cbd47e · outbound

This paper cites International AI Safety Report.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey International AI Safety Report

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T22:19:28.165408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:19:28.165408Z digest=sha256:a7c2e3be41d1f3bd7e6a09fafde643e94f02337521cf6afdc8d64d75680fce04

Observation 526b7e7f-6dd6-4ff6-abe4-bbd539cbc7f5 · outbound

This paper cites Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:19:28.600575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.158394Z digest=sha256:826520827a96a00285971e1e821011881bc54ed40ccc879d98043f2fbbbc148e

Observation 3a3e3746-d0fa-4697-b6e6-c6727520f832 · outbound

This paper cites Advanced air mobility: Opportunities, challenges, and research needsfor the state of california (2023-2030).

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Advanced air mobility: Opportunities, challenges, and research needsfor the state of california (2023-2030)

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.987743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.173241Z digest=sha256:c8117d53982a868156aee9bb5564a157bcfa3d4fc35c869d2da62dd67a408d93

Observation 8a52a6d5-938a-49d2-9adc-7f0c0da19c7c · outbound

This paper cites Next-generation avia- tion li-ion battery technologies—enabling electrified air- craft.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Next-generation avia- tion li-ion battery technologies—enabling electrified air- craft

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:29.007348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.162027Z digest=sha256:19fa21ef6286f559f1426162df5656b4c8887f749a71cbbfb9612d8fd23c2cd1

Observation 92314df0-b5ff-478f-b808-ea3d69a1eaa0 · outbound

This paper cites Safe re- inforcement learning using probabilistic shields.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Safe re- inforcement learning using probabilistic shields

Reference 7586

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:19:28.826984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T22:19:28.232605Z digest=sha256:ca204df470df028686d025702544bfd88e38e266c34c831498ce76c078f4d6bc

Pith citing papers

No inbound Pith citation observations are available.