Paper Citation Record · LEDGER

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications

As of 21 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2502.02666.

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

pith.paper-citation-record.v1
2502.02666 v1

Coverage vector

measured 56 of 56 reference resolution

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One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

Source: arxiv_reference, observed 2026-05-16T21:08:32.899822Z

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

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Outbound references

Observation 5f9ab1a9-7753-4ede-8b77-6d324209605f · outbound

This paper cites Disaster management using unmanned aerial vehicles,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Disaster management using unmanned aerial vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.311297Z

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Observation 8976cecf-5cdd-4d77-9a71-b5696b897fb4 · outbound

This paper cites Help from the sky: Leveraging uavs for disaster management,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Help from the sky: Leveraging uavs for disaster management,

Reference 2

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Observation 7bb6f764-a9f7-4bbf-a8ba-bb4e9a48abc0 · outbound

This paper cites Comparative review study of military and civilian un- manned aerial vehicles (uavs),.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Comparative review study of military and civilian un- manned aerial vehicles (uavs),

Reference 3

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Observation 6a03fa92-3bdc-4c01-8f42-2c34369feb1b · outbound

This paper cites Unmanned aerial vehicle contributions to intelligence, surveillance, and reconnaissance missions for expeditionary operations,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Unmanned aerial vehicle contributions to intelligence, surveillance, and reconnaissance missions for expeditionary operations,

Reference 4

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Observation b780ed53-9c83-4ea3-b170-912c1dbc3e88 · outbound

This paper cites Con- struction of 3d models of buildings damaged by earth- quakes using uav aerial images,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Con- struction of 3d models of buildings damaged by earth- quakes using uav aerial images,

Reference 5

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Observation ee09db62-acda-4ac0-a22a-9480bc9b0bd2 · outbound

This paper cites Guidelines for the use of unmanned aerial systems in flood emergency response,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Guidelines for the use of unmanned aerial systems in flood emergency response,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.268566Z

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Observation 73e65593-887b-447e-8e71-504c84e74095 · outbound

This paper cites Uses of drones in fighting covid-19 pandemic,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Uses of drones in fighting covid-19 pandemic,

Reference 7

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Observation b44ad218-04ce-42f7-a91d-7e9ce4c65058 · outbound

This paper cites Robust plan- ning for persistent surveillance with energy-constrained uavs and mobile charging stations,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Robust plan- ning for persistent surveillance with energy-constrained uavs and mobile charging stations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.252402Z

Source-reported events for the cited work

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Observation 3f8748d2-c435-4868-a2da-b7ff4da704a5 · outbound

This paper cites Coverage of an JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 16 environment using energy-constrained unmanned aerial vehicles,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Coverage of an JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 16 environment using energy-constrained unmanned aerial vehicles,

Reference 9

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Observation 09336e9f-54ad-4eaf-a008-0a401ccf4403 · outbound

This paper cites On cooperation between a fuel constrained uav and a refueling ugv for large scale mapping applications,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications On cooperation between a fuel constrained uav and a refueling ugv for large scale mapping applications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.236983Z

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Observation 95186871-a21a-4af4-8dae-4512e78f7b69 · outbound

This paper cites Vehicle routing problem with drones,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Vehicle routing problem with drones,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.229799Z

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Observation c7e6ab9f-3fb7-433b-8d8b-246315ae2816 · outbound

This paper cites A study on the traveling salesman problem with a drone,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications A study on the traveling salesman problem with a drone,

Reference 12

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Observation 34f93b8c-7152-45f5-a2b5-497c5dbbe0d0 · outbound

This paper cites For- mulations and algorithms for the multiple depot, fuel- constrained, multiple vehicle routing problem,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications For- mulations and algorithms for the multiple depot, fuel- constrained, multiple vehicle routing problem,

Reference 13

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Observation 297ec6aa-cdd7-444c-b54f-d4f13a9836bd · outbound

This paper cites The flying sidekick trav- eling salesman problem: Optimization of drone-assisted parcel delivery,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications The flying sidekick trav- eling salesman problem: Optimization of drone-assisted parcel delivery,

Reference 14

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Observation 0b655483-404d-4b9a-ae28-5e511c205d8a · outbound

This paper cites Vehicle routing problems with multiple trips,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Vehicle routing problems with multiple trips,

Reference 15

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Observation 1c5912b9-2cf0-4576-9d25-f15f7ef32a1b · outbound

This paper cites Terra: A path planning algorithm for cooperative ugv–uav ex- ploration,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Terra: A path planning algorithm for cooperative ugv–uav ex- ploration,

Reference 16

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Observation ff353e3d-9df6-436f-93f7-1c8acad7b73d · outbound

This paper cites Path planning of uav-ugv heterogeneous robot system in road network,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Path planning of uav-ugv heterogeneous robot system in road network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.181269Z

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Observation e2add891-410c-487f-9893-bc3a9be53189 · outbound

This paper cites Cooperative route planning for fuel-constrained ugv-uav exploration,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Cooperative route planning for fuel-constrained ugv-uav exploration,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.172894Z

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Observation 8e86d275-52b2-43fc-8d95-ccf7d796d649 · outbound

This paper cites Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:37:34.885025Z

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Observation 1fdaa43a-b776-4e50-b545-1c8b19d0b074 · outbound

This paper cites Learning scheduling poli- cies for multi-robot coordination with graph attention networks,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Learning scheduling poli- cies for multi-robot coordination with graph attention networks,

Reference 20

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Observation 645609f4-cbaf-4fa8-96d4-e24f73d1cefd · outbound

This paper cites Multi-agent routing value iteration network,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Multi-agent routing value iteration network,

Reference 21

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Observation e8cee6bc-0e3e-480c-af96-5a4be295577d · outbound

This paper cites Learning scal- able policies over graphs for multi-robot task allocation using capsule attention networks,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Learning scal- able policies over graphs for multi-robot task allocation using capsule attention networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.148093Z

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Observation 0e336f4e-3274-4aeb-a82c-a1a875be8945 · outbound

This paper cites Heterogenous vehicle routing: comparing parameter tuning using genetic algorithm and bayesian optimization,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Heterogenous vehicle routing: comparing parameter tuning using genetic algorithm and bayesian optimization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.139698Z

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Observation e0cbc9eb-ebb2-4586-9eb0-3c07c4019a68 · outbound

This paper cites An attention-aware deep reinforcement learning framework for uav-ugv collaborative route planning,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications An attention-aware deep reinforcement learning framework for uav-ugv collaborative route planning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.130804Z

Source-reported events for the cited work

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Observation c784d1c3-5373-4122-b95b-3281326cdc99 · outbound

This paper cites Persistent multi-uav surveil- lance with energy and communication constraints,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Persistent multi-uav surveil- lance with energy and communication constraints,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.123003Z

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.

Observation 65a068cc-59f3-403d-9f63-ebd769eeebbd · outbound

This paper cites Intelligent systems for disas- ter management: Unmanned aerial vehicles’ surveillance problem with energy consumption constraints,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Intelligent systems for disas- ter management: Unmanned aerial vehicles’ surveillance problem with energy consumption constraints,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.115901Z

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.

Observation 16ec7599-a25d-4958-b7d6-98f6a2776762 · outbound

This paper cites Management of a post-disaster emergency scenario through unmanned aerial vehicles: Multi-depot multi-trip vehicle routing with total completion time minimization,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Management of a post-disaster emergency scenario through unmanned aerial vehicles: Multi-depot multi-trip vehicle routing with total completion time minimization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.108327Z

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Observation b235ccfe-9c87-484c-beaf-e9f0dc8d3ce6 · outbound

This paper cites The multiple unmanned air vehicle persistent surveillance problem: A review,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications The multiple unmanned air vehicle persistent surveillance problem: A review,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.100468Z

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.

Observation 561a9261-17ca-498b-b731-f54efc0520cd · outbound

This paper cites Persistent surveil- lance with a team of mavs,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Persistent surveil- lance with a team of mavs,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.092281Z

Source-reported events for the cited work

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Observation 3132d93e-36c9-4bb9-acb2-bc311ec86dd4 · outbound

This paper cites Optimal uav route plan- ning for persistent monitoring missions,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Optimal uav route plan- ning for persistent monitoring missions,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.083834Z

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Observation 0df4861a-e333-4c6d-bd06-2dabe23a5a2d · outbound

This paper cites Persistent surveillance with energy-constrained uavs and mobile charging stations,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Persistent surveillance with energy-constrained uavs and mobile charging stations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.075648Z

Source-reported events for the cited work

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Observation 34b6b627-08e7-4657-bdba-25c6aa6a0911 · outbound

This paper cites Cooperative aerial–ground vehicle route planning with fuel constraints for coverage applications,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Cooperative aerial–ground vehicle route planning with fuel constraints for coverage applications,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.067591Z

Source-reported events for the cited work

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Observation 954e8749-0a2f-42b9-af40-c4c24f3cc775 · outbound

This paper cites Persistent surveillance us- ing multiple unmanned air vehicles,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Persistent surveillance us- ing multiple unmanned air vehicles,

Reference 33

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Observation f8f514a9-fec9-4485-9230-af73ca17031b · outbound

This paper cites A reactive energy-aware rendezvous planning approach for multi- vehicle teams,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications A reactive energy-aware rendezvous planning approach for multi- vehicle teams,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.050971Z

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.

Observation 0af0e04c-2185-4f1f-be1b-d95350adb12b · outbound

This paper cites Risk-aware recharging rendezvous for a collaborative team of uavs and ugvs,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Risk-aware recharging rendezvous for a collaborative team of uavs and ugvs,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.042477Z

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Observation 88dd25f2-62a3-41f9-a090-04ce475334d9 · outbound

This paper cites Pointer net- works,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Pointer net- works,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.034248Z

Source-reported events for the cited work

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Observation 2c6496b1-d7a2-46c2-ae8e-ea876cbbd601 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Neural Machine Translation by Jointly Learning to Align and Translate

Reference 37

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Source-reported events for the cited work

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This paper cites Attention, Learn to Solve Routing Problems!.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Attention, Learn to Solve Routing Problems!

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T11:37:34.773210Z

Source-reported events for the cited work

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Observation 9e61401e-5f4f-4bda-a83b-9e9673b73c0f · outbound

This paper cites Deep reinforcement learning for solving the heterogeneous capacitated vehicle routing problem,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Deep reinforcement learning for solving the heterogeneous capacitated vehicle routing problem,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.026343Z

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.

Observation ab70bb3d-1199-4af3-8499-6b06cfbce410 · outbound

This paper cites Reinforcement learning based truck-and-drone coordinated delivery,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Reinforcement learning based truck-and-drone coordinated delivery,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.017955Z

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.

Observation b5c1f88d-4fee-4a5a-9d7b-bdd9409e928f · outbound

This paper cites Deep reinforcement learning for uav routing in the presence of multiple charging stations,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Deep reinforcement learning for uav routing in the presence of multiple charging stations,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.009584Z

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.

Observation ce0c53b7-66a2-4bdf-be51-27a05690f66f · outbound

This paper cites Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:37:34.856963Z

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.

Observation 993a3031-670c-46f4-88bc-c2647745959b · outbound

This paper cites Integer programming formulation of traveling salesman prob- lems,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Integer programming formulation of traveling salesman prob- lems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:35.001087Z

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.

Observation ce330484-e497-4f13-9959-d60c14aa3276 · outbound

This paper cites Cooperative multi-agent planning frame- work for fuel constrained uav-ugv routing problem,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Cooperative multi-agent planning frame- work for fuel constrained uav-ugv routing problem,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.993198Z

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.

Observation 6e04eedd-4c48-43d6-b938-773c128b80b5 · outbound

This paper cites Optimizing fuel-constrained uav-ugv routes for large scale coverage: Bilevel planning in heterogeneous multi-agent systems,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Optimizing fuel-constrained uav-ugv routes for large scale coverage: Bilevel planning in heterogeneous multi-agent systems,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.985725Z

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.

Observation a5ea907a-b247-41e2-9100-ae29099715b5 · outbound

This paper cites Google OR-tools,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Google OR-tools,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.977494Z

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.

Observation 21337ed0-de37-4911-85b1-0a534b9657a9 · outbound

This paper cites Coordinated route planning of multiple fuel-constrained unmanned aerial systems with recharging on an unmanned ground vehicle for mission coverage,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Coordinated route planning of multiple fuel-constrained unmanned aerial systems with recharging on an unmanned ground vehicle for mission coverage,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.969358Z

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.

Observation 08dc7462-112f-4bfb-90ee-a0f825854321 · outbound

This paper cites Attention is all you need,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Attention is all you need,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T11:37:34.804059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc733ba5-b148-4be8-943a-bb150c002ab6 · outbound

This paper cites Step-wise deep learning models for solving routing problems,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Step-wise deep learning models for solving routing problems,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.955940Z

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.

Observation 3c44a15d-bc18-47ea-a56e-3c5079aa86ed · outbound

This paper cites Multimodal trans- former with multi-view visual representation for image captioning,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Multimodal trans- former with multi-view visual representation for image captioning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.947605Z

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.

Observation f1d7965d-ad9b-4a35-83c7-78ea03011741 · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.939124Z

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.

Observation d7ba2c28-4f61-4c21-bb99-a7f449d65c30 · outbound

This paper cites Simple statistical gradient-following al- gorithms for connectionist reinforcement learning,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Simple statistical gradient-following al- gorithms for connectionist reinforcement learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.929388Z

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.

Observation 5b5d792b-e8e9-4af8-a335-d2fe9e0d2700 · outbound

This paper cites Mobile robot battery life estimation: battery energy use of an unmanned ground vehicle,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Mobile robot battery life estimation: battery energy use of an unmanned ground vehicle,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.920571Z

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.

Observation 616e3728-eaa5-497b-a51e-20a08416ea90 · outbound

This paper cites Hurricane harvey,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Hurricane harvey,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.911670Z

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.

Observation 60171dfe-6c71-49a0-9948-1aae45c990d6 · outbound

This paper cites Hurricane harvey disaster map,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Hurricane harvey disaster map,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.903085Z

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.

Observation 55c682d9-7a5a-4dab-80f2-f0f849299a9d · outbound

This paper cites Houston population density,.

Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications Houston population density,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:37:34.894451Z

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.

Pith citing papers

Observation 7859f04c-8f3e-4a14-afc2-f4e3dea2473f · inbound

Joint UAV-UGV Positioning and Trajectory Planning via Meta A3C for Reliable Emergency Communications cites this paper.

Joint UAV-UGV Positioning and Trajectory Planning via Meta A3C for Reliable Emergency Communications Deep Reinforcement Learning Enabled Persistent Surveillance with Energy-Aware UAV-UGV Systems for Disaster Management Applications

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:08:32.902291Z

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.