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Paper Citation Record · LEDGER

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2510.22204.

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

pith.paper-citation-record.v1
2510.22204 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:13:20.878662Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:48:08.135538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:10:29.779310Z

Reference resolution

46 of 46 outbound references displayed

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Outbound references

Observation 513e51b8-0ee0-46a8-b482-efb2be0a518a · outbound

This paper cites Free lsd: Prior-free visual landing site detection for autonomous planes,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Free lsd: Prior-free visual landing site detection for autonomous planes,

Reference 1

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Observation 132591da-8807-47af-908b-72ac034949a1 · outbound

This paper cites Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Multi-Resolution Elevation Mapping and Safe Landing Site Detection with Applications to Planetary Rotorcraft

Reference 2

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Observation b6aaa3bf-db9e-4480-9ac6-0a053126b37c · outbound

This paper cites Visual Environment Assessment for Safe Autonomous Quadrotor Landing.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Visual Environment Assessment for Safe Autonomous Quadrotor Landing

Reference 3

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Observation 42785175-cb53-4a22-9b33-de278d04fa54 · outbound

This paper cites VisLanding: Monocular 3D Perception for UAV Safe Landing via Depth-Normal Synergy.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment VisLanding: Monocular 3D Perception for UAV Safe Landing via Depth-Normal Synergy

Reference 4

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source=pdf_text observed=2026-08-04T08:13:16.505751Z digest=sha256:bc7d7dfdc3d33016e3a064e81f4d737be2ede6985b249abb559085a715a90bc8

Observation 357a9ed2-1f60-4658-97c8-7b3b3a97efb1 · outbound

This paper cites Emergency landing spot detection algorithm for unmanned aerial vehicles,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Emergency landing spot detection algorithm for unmanned aerial vehicles,

Reference 5

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source=pdf_text observed=2026-08-04T08:13:16.641264Z digest=sha256:532cfb2c28d69b151126debc3cb3d48da5bdbf2b43c992f103e08e3b316d08a7

Observation 48442706-f123-4fa4-b18c-ee2d35303a15 · outbound

This paper cites Emergency uav landing on unknown field using depth-enhanced graph structure,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Emergency uav landing on unknown field using depth-enhanced graph structure,

Reference 6

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Observation 9ac884fc-d489-4a1f-9c99-fd76254890cf · outbound

This paper cites Uav computing-assisted search and rescue mission framework for disaster and harsh environment mitigation,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Uav computing-assisted search and rescue mission framework for disaster and harsh environment mitigation,

Reference 7

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Observation 5755d922-4cd7-4e40-ae0a-81a60bc5a99c · outbound

This paper cites Design and analysis of propeller for high-altitude search and rescue unmanned aerial vehicle,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Design and analysis of propeller for high-altitude search and rescue unmanned aerial vehicle,

Reference 8

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Observation ae506289-21b8-4e64-a923-bd0e5bb07e89 · outbound

This paper cites Target search in dynamic environments with multiple solar-powered uavs,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Target search in dynamic environments with multiple solar-powered uavs,

Reference 9

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Observation 3c66ba3e-bf38-4478-9a8f-8caf957a1a7a · outbound

This paper cites Uav-based delivery systems: A systematic review, current trends, and research challenges,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Uav-based delivery systems: A systematic review, current trends, and research challenges,

Reference 10

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Observation e8b253b9-4532-451c-89a1-2b62a4cd2629 · outbound

This paper cites Drone- aided delivery methods, challenge, and the future: A methodological review,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Drone- aided delivery methods, challenge, and the future: A methodological review,

Reference 11

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Observation 03fe514d-bc1c-4d26-acfb-31b4a8a43e57 · outbound

This paper cites Review of navigation methods for uav-based parcel delivery,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Review of navigation methods for uav-based parcel delivery,

Reference 12

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Observation 73f33c89-eed7-44d6-945e-31056d1e71ef · outbound

This paper cites Computer vision for autonomous uav flight safety: An overview and a vision-based safe landing pipeline example,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Computer vision for autonomous uav flight safety: An overview and a vision-based safe landing pipeline example,

Reference 13

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Observation cf785950-b551-4dfb-8325-b93bc9ed69f6 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,

Reference 14

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Observation d0dbdf2e-92a0-4586-bf68-883ea0fc6c7c · outbound

This paper cites Chatgpt: O3-mini,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Chatgpt: O3-mini,

Reference 15

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Observation 2dc60f33-4783-4f14-826e-5f4b5c3d4d51 · outbound

This paper cites Reluplex: An efficient SMT solver for verifying deep neural networks,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Reluplex: An efficient SMT solver for verifying deep neural networks,

Reference 16

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Observation f020b55e-774a-460b-ac8e-18736047d637 · outbound

This paper cites The marabou framework for verification and analysis of deep neural networks,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment The marabou framework for verification and analysis of deep neural networks,

Reference 17

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Observation d2b12ba0-162d-41cd-a475-043699b36519 · outbound

This paper cites Scallop: A language for neurosymbolic programming,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Scallop: A language for neurosymbolic programming,

Reference 18

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Observation 1ec08e3e-d1cc-4977-a91a-d40a7526186a · outbound

This paper cites Neurosymbolic ai: The 3rd wave,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Neurosymbolic ai: The 3rd wave,

Reference 19

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source=pdf_text observed=2026-08-04T08:13:18.198701Z digest=sha256:0484c80c8bdb9bd2e4a5ea0932280f2bae2960f975a199f57cb68755e29020bd

Observation 678e08c9-750e-48c8-bb99-e23b464c8ead · outbound

This paper cites Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal

Reference 20

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Observation ae55b39e-64bb-4587-a0f2-6941bba91f94 · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Continual lifelong learning with neural networks: A review,

Reference 21

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Observation 5a9a4e11-d12b-4efc-b34c-587c568594bf · outbound

This paper cites Apriltag: A robust and flexible visual fiducial system,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Apriltag: A robust and flexible visual fiducial system,

Reference 22

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Observation 00fe0294-4c6a-424b-b5f4-e37c6c61185d · outbound

This paper cites Apriltag 2: Efficient and robust fiducial detec- tion,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Apriltag 2: Efficient and robust fiducial detec- tion,

Reference 23

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Observation 40d1dd26-8c80-405a-8c67-3d9871815d50 · outbound

This paper cites Automatic generation and detection of highly reliable fiducial markers under occlusion,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Automatic generation and detection of highly reliable fiducial markers under occlusion,

Reference 24

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Observation aa50972a-a808-4b74-9f57-4c37816505f0 · outbound

This paper cites an unresolved cited work.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Unresolved cited work

Reference 25

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Observation e3628793-7105-4450-bee1-f79a92922176 · outbound

This paper cites Problog: A probabilistic prolog and its application in link discovery,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Problog: A probabilistic prolog and its application in link discovery,

Reference 26

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Observation 25f69fba-7d1d-4d6e-ab87-8bfaed7fbb4c · outbound

This paper cites Deepproblog: Neural probabilistic logic programming,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Deepproblog: Neural probabilistic logic programming,

Reference 27

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Observation 17604e8f-4bbf-4c33-b8fd-9aff1a3cc16a · outbound

This paper cites TensorLog: A Differentiable Deductive Database.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment TensorLog: A Differentiable Deductive Database

Reference 28

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Observation 022c91f4-4f7a-4469-b2dc-bdf92357519b · outbound

This paper cites Scallop: From probabilistic deductive databases to scalable differentiable reasoning,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Scallop: From probabilistic deductive databases to scalable differentiable reasoning,

Reference 29

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Observation d5b97b2f-0c1b-4d95-afb8-cfb2df98453e · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 30

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Observation 0868384c-d740-4c22-ae68-1032e9c834c4 · outbound

This paper cites Code as Policies: Language Model Programs for Embodied Control.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Code as Policies: Language Model Programs for Embodied Control

Reference 31

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Observation 208b7ee1-6e22-4cad-85e5-3a2846798ac3 · outbound

This paper cites PAL: Program-aided Language Models.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment PAL: Program-aided Language Models

Reference 32

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Observation 69f7c837-ff7d-40a7-a7ee-a45aa1549bbd · outbound

This paper cites SatLM: Satisfiability-Aided Language Models Using Declarative Prompting.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment SatLM: Satisfiability-Aided Language Models Using Declarative Prompting

Reference 33

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Observation 4b5eda15-7e7d-446c-bde1-b48c322b751c · outbound

This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Reference 34

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Observation 37d24d5a-e159-4f32-9281-0d1412ad28d3 · outbound

This paper cites Semantic drone dataset,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Semantic drone dataset,

Reference 35

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Observation 0e458d25-a218-4bba-9844-fa0971597e30 · outbound

This paper cites The OpenCV Library,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment The OpenCV Library,

Reference 36

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unresolved
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source=pdf_text observed=2026-08-04T08:13:20.012049Z digest=sha256:8a717df8475082c6be5d3fb77820695f9d8f3518dfb8e2c7eec07a5acc6ebd94

Observation d129cde4-ed5d-420b-a1a0-2fb63ce43335 · outbound

This paper cites Safeuav: Learning to estimate depth and safe landing areas for uavs from synthetic data,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Safeuav: Learning to estimate depth and safe landing areas for uavs from synthetic data,

Reference 37

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unresolved
no resolver link, observed 2026-08-04T08:13:20.064241Z

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source=pdf_text observed=2026-08-04T08:13:20.064241Z digest=sha256:acc694e3bfce4c915e332c40219969b5af53afa5fc09da8198720fc12512b0e4

Observation 66313e29-7d8b-4ae0-bbe5-bf71cfb5fb3b · outbound

This paper cites Accurate autonomous uav landing using vision-based detection of aruco-marker,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Accurate autonomous uav landing using vision-based detection of aruco-marker,

Reference 38

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unresolved
no resolver link, observed 2026-08-04T08:13:20.120792Z

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source=pdf_text observed=2026-08-04T08:13:20.120792Z digest=sha256:ecff8c015b1888f8678a7487ee672f9e0e201ed27f23bc22ce1b8de7c4d343a8

Observation 898c1632-9a2d-483f-b570-84d66d66c11c · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 39

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unresolved
no resolver link, observed 2026-08-04T08:13:20.202650Z

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source=pdf_text observed=2026-08-04T08:13:20.202650Z digest=sha256:0c9a376caab4e9921ed55273e8e5d0b2f147e09e034f4f04e5616d9351cba15e

Observation 7d8e4444-1a6f-4db1-8532-33dfa3516e30 · outbound

This paper cites Vision-based autonomous uav navigation and landing for urban search and rescue,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Vision-based autonomous uav navigation and landing for urban search and rescue,

Reference 40

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no resolver link, observed 2026-08-04T08:13:20.253746Z

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source=pdf_text observed=2026-08-04T08:13:20.253746Z digest=sha256:41418f47ab6cd191e4477172ffdb36668b3afdc499847b0c304f6411f701e229

Observation 649824e8-316d-4986-b4be-1dd62d11cde4 · outbound

This paper cites Adaptive gain control strategy for constant optical flow divergence landing,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Adaptive gain control strategy for constant optical flow divergence landing,

Reference 41

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unresolved
no resolver link, observed 2026-08-04T08:13:20.328690Z

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source=pdf_text observed=2026-08-04T08:13:20.328690Z digest=sha256:30ca4d013ded14a2a606aa31dc4ceb9980e96017a12ba3682b3cdd65aa4eb77c

Observation 84d66d36-917d-4d90-bde4-09a67e1c94fc · outbound

This paper cites Evolution of robust high- speed optical-flow-based landing for autonomous micro air vehicles,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Evolution of robust high- speed optical-flow-based landing for autonomous micro air vehicles,

Reference 42

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unresolved
no resolver link, observed 2026-08-04T08:13:20.422876Z

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source=pdf_text observed=2026-08-04T08:13:20.422876Z digest=sha256:30515c33b03c5db1f067b83da24dfa0352b294042b57b4057ee0d98315c399fa

Observation 6e2f0ad0-ba8b-4c27-b013-3dc6af3118b2 · outbound

This paper cites Vision-guided landing of an autonomous helicopter in hazardous terrain,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Vision-guided landing of an autonomous helicopter in hazardous terrain,

Reference 43

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no resolver link, observed 2026-08-04T08:13:20.581098Z

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source=pdf_text observed=2026-08-04T08:13:20.581098Z digest=sha256:399a8fdb98fca20673561f093c050e3f57322c21893d19d8eed8bd847c0f8836

Observation 022772a5-a466-40e3-a44c-83f5f87ba485 · outbound

This paper cites Visually-guided landing of an unmanned aerial vehicle,.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Visually-guided landing of an unmanned aerial vehicle,

Reference 44

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unresolved
no resolver link, observed 2026-08-04T08:13:20.741581Z

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source=pdf_text observed=2026-08-04T08:13:20.741581Z digest=sha256:104d43b890a87d1f3ec597cf41f4db9e82389ee8b62b8991cb00bac590fa7e25

Observation f1e65970-b9c7-47f1-98bc-db111e6a48ce · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 45

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unresolved
no resolver link, observed 2026-08-04T08:13:20.878662Z

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source=pdf_text observed=2026-08-04T08:13:20.878662Z digest=sha256:93554ddf90eee70f81270be42e7b56dcc7e8a7a52d300f4be82646e54446020a

Observation b5810ccd-1891-4a39-b945-774ba228e66b · outbound

This paper cites Neurosymbolic AI: The 3rd Wave.

Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment Neurosymbolic AI: The 3rd Wave

Reference 2020

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source=pdf_text observed=2026-08-04T08:13:18.276728Z digest=sha256:7b318e0ef87b6a9bcc9234e79dd668f37c9e83bca30e962f08cb61aa925d705c

Pith citing papers

Observation be304b11-75c7-409a-bee7-4ee51caefb24 · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site Assessment

Reference 155

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verified exact
arxiv_id, observed 2026-07-20T01:18:21.571694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:48:08.135538Z digest=sha256:4500c3c0f3880db240660598db540f0c6d09e17a314f7cbb299d3582aaeb898c