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Paper Citation Record · LEDGER

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2602.09994.

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

pith.paper-citation-record.v1
2602.09994 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:40:00.807522Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation d5ced447-617c-43b4-97d1-5b63525f5430 · outbound

This paper cites Distri- butionally robust optimization for aerial multi-access ed ge computing via cooperation of uavs and haps,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Distri- butionally robust optimization for aerial multi-access ed ge computing via cooperation of uavs and haps,

Reference 1

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Observation 22ee33bc-9701-4b96-9340-7b9ec01247b3 · outbound

This paper cites A survey on drl-based uav communications and networking: D rl fun- damentals, applications and implementations,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks A survey on drl-based uav communications and networking: D rl fun- damentals, applications and implementations,

Reference 2

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Observation 3a13a4be-c6cf-4fc1-88e7-b31ac775856e · outbound

This paper cites A survey on resource management in joint communication and co mputing- embedded sagin,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks A survey on resource management in joint communication and co mputing- embedded sagin,

Reference 3

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Observation 48efb416-513e-49d3-b386-05ae4ac39e59 · outbound

This paper cites Non-terrestrial networks in t he 6g era: Challenges and opportunities,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Non-terrestrial networks in t he 6g era: Challenges and opportunities,

Reference 4

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source=pdf_text observed=2026-08-03T02:39:57.025543Z digest=sha256:e39fa8875549b8417acb093b9c878f6140620857372757f1be2988e396875ba9

Observation e355838a-a5ad-49e3-a7db-d2e3f76ce1bc · outbound

This paper cites Joint ua v placement and dependent task offloading in multi-uav mec net works: a graph attention enhanced drl approach,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Joint ua v placement and dependent task offloading in multi-uav mec net works: a graph attention enhanced drl approach,

Reference 5

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source=pdf_text observed=2026-08-03T02:39:57.135758Z digest=sha256:dfdfe385d3d89b6e26d97cb2b05af0a9d8e82b8a741feec1f7fd5ca9fc005fbc

Observation 108b181a-0ba1-4405-b0d6-63dd13fcc204 · outbound

This paper cites Wireless communication s with unmanned aerial vehicles: opportunities and challenges,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Wireless communication s with unmanned aerial vehicles: opportunities and challenges,

Reference 6

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source=pdf_text observed=2026-08-03T02:39:57.234847Z digest=sha256:4f4fe0ec18b5cc6d2718f808661b504db0f9e761fb24963c7377315a897f2fe6

Observation 99a201ab-76c1-4aca-afff-3c54862fcccd · outbound

This paper cites The coverage overlapp ing problem of serving arbitrary crowds in 3d drone cellular networks,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks The coverage overlapp ing problem of serving arbitrary crowds in 3d drone cellular networks,

Reference 7

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source=pdf_text observed=2026-08-03T02:39:57.377325Z digest=sha256:13a068abf7adecabfdb335439e73f70afc26d623f0b954254348d41977680c78

Observation a9b565ab-725f-4a9f-bb56-96d2754af7f4 · outbound

This paper cites On-demand densit y-aware uav base station 3d placement for arbitrarily distributed u sers with guaranteed data rates,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks On-demand densit y-aware uav base station 3d placement for arbitrarily distributed u sers with guaranteed data rates,

Reference 8

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Observation cbd915e4-d851-4cff-badb-2770c3d78fa5 · outbound

This paper cites J oint optimization of 3d placement and radio resource allocation for per-uav sum rate maximization,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks J oint optimization of 3d placement and radio resource allocation for per-uav sum rate maximization,

Reference 9

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source=pdf_text observed=2026-08-03T02:39:57.695706Z digest=sha256:c38507c857b5f2bfe687c6d5f6830b389b16b0c5b144bcd0a8929ff750fef803

Observation fe6909dd-2466-412f-9e94-53e407bbcf43 · outbound

This paper cites Adaptive and fair deployment approach to balance offload traffic in multi-uav c ellular networks,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Adaptive and fair deployment approach to balance offload traffic in multi-uav c ellular networks,

Reference 10

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Observation 574a0dd1-8cc6-4fc4-9c28-1396df5a2cc1 · outbound

This paper cites Aquantitative measur e of fairness and discrimination for resource allocation in shared syste ms,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Aquantitative measur e of fairness and discrimination for resource allocation in shared syste ms,

Reference 11

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source=pdf_text observed=2026-08-03T02:39:57.985615Z digest=sha256:0ba555d612b6a7743e074d3f61db9e0ee0c9bbd247257131a9c2bc7d3e79b0da

Observation 4bf03f95-cf70-4af2-aeea-f92552f3ea34 · outbound

This paper cites Uav swarm cooperative dynamic target search: A mappo-based discrete optimal control method,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Uav swarm cooperative dynamic target search: A mappo-based discrete optimal control method,

Reference 12

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Observation 7e02d8a7-18d6-44ba-b972-f1fc4029f89e · outbound

This paper cites Multi- agent actor-critic for mixed cooperative-competitive env ironments,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Multi- agent actor-critic for mixed cooperative-competitive env ironments,

Reference 13

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Observation ba857e0c-dc1d-447c-aa84-24fdf22cca5e · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agen t games,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks The surprising effectiveness of ppo in cooperative multi-agen t games,

Reference 14

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source=pdf_text observed=2026-08-03T02:39:58.322112Z digest=sha256:c03852803874dd583c2835a6bf7213f6c1c85f818c202736301225af4f516710

Observation 983aa908-af39-4ae6-b802-0dab322dd807 · outbound

This paper cites k-means++: the advant ages of careful seeding,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks k-means++: the advant ages of careful seeding,

Reference 15

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source=pdf_text observed=2026-08-03T02:39:58.465413Z digest=sha256:0a2d50652c99549e56e9cad56f594c50596dd122d689079a6d83ae8921ad6f35

Observation 41fe2936-144f-4c45-b5b6-455ee4ce6a49 · outbound

This paper cites Efficie nt de- ployment of multiple unmanned aerial vehicles for optimal w ireless coverage,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Efficie nt de- ployment of multiple unmanned aerial vehicles for optimal w ireless coverage,

Reference 16

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Observation 432e6e3a-8cc5-4ce8-8d66-95cf763c927d · outbound

This paper cites Optimizing uav deployment for maximi zing coverage and data rate efficiency using multi-agent deep det erministic policy gradient and bayesian optimization,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Optimizing uav deployment for maximi zing coverage and data rate efficiency using multi-agent deep det erministic policy gradient and bayesian optimization,

Reference 17

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Observation 55d30646-8ddf-47ef-ae13-197f9df0c09d · outbound

This paper cites An optimized 2d ground area coverage using uav-enabled sen sor networks,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks An optimized 2d ground area coverage using uav-enabled sen sor networks,

Reference 18

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Observation 4dc2bc28-7e7f-4034-96ea-8a91ef22f8b6 · outbound

This paper cites Edge-prior placemen t algorithm for uav-mounted base stations,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Edge-prior placemen t algorithm for uav-mounted base stations,

Reference 19

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source=pdf_text observed=2026-08-03T02:39:58.853745Z digest=sha256:4a36f9346bbd7d492d4bf0d653cce26ba524f51b695e854f2904a8fef8bf5fbf

Observation 253b9f2a-56a9-43d4-85d1-454569c03bcd · outbound

This paper cites Securing uav commu nications via joint trajectory and power control,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Securing uav commu nications via joint trajectory and power control,

Reference 20

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source=pdf_text observed=2026-08-03T02:39:59.056664Z digest=sha256:30603e1e8e2b7dd7c49a8373a2a7c8c3f531e872a22eccaabe10e71b1ff56641

Observation 1944e7d6-8f6e-4d15-978c-3d1ecc70c6da · outbound

This paper cites Noma for star-ris ass isted uav networks,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Noma for star-ris ass isted uav networks,

Reference 21

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Observation 338df562-103d-4066-b315-906a8c319cdb · outbound

This paper cites Uav-aided multi-way noma networks with residual hardware impair- ments,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Uav-aided multi-way noma networks with residual hardware impair- ments,

Reference 22

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Observation ebe2e2f5-121b-4199-afdc-70aaa39ff7a1 · outbound

This paper cites Distributed energy -efficient multi-uav navigation for long-term communication coverag e by deep reinforcement learning,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Distributed energy -efficient multi-uav navigation for long-term communication coverag e by deep reinforcement learning,

Reference 23

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Observation a71530e4-3d88-447b-b7af-b15bf3bd3e63 · outbound

This paper cites Coop erative internet of uavs: Distributed trajectory design by multi-a gent deep re- inforcement learning,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Coop erative internet of uavs: Distributed trajectory design by multi-a gent deep re- inforcement learning,

Reference 24

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Observation e460bf9f-1886-4986-8aa8-5806a6924553 · outbound

This paper cites Multi- agent deep reinforcement learning based uav trajectory opt imization for differentiated services,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Multi- agent deep reinforcement learning based uav trajectory opt imization for differentiated services,

Reference 25

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Observation 213a3a6d-6e71-4467-ac81-1e69cb04ecde · outbound

This paper cites Cooperative uav resource allocation and task offloading in hierarchical aerial computing systems: A mappo-based approach,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Cooperative uav resource allocation and task offloading in hierarchical aerial computing systems: A mappo-based approach,

Reference 26

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Observation ad0dfbba-a67f-4533-8f2a-a4e6596b77c0 · outbound

This paper cites Joint power allo cation and 3d deployment for uav-bss: A game theory based deep reinforc ement learning approach,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Joint power allo cation and 3d deployment for uav-bss: A game theory based deep reinforc ement learning approach,

Reference 27

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Observation 61e06236-8aad-49ac-a933-6d8969718dd4 · outbound

This paper cites Fairness -aware task scheduling and resource allocation in uav-enabled mob ile edge computing networks,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Fairness -aware task scheduling and resource allocation in uav-enabled mob ile edge computing networks,

Reference 28

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Observation 42d9b327-d6c6-4121-bc64-6c20e0043d85 · outbound

This paper cites an unresolved cited work.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Unresolved cited work

Reference 29

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Observation 8ea35bd1-f770-46d1-a148-72e48fe476de · outbound

This paper cites Optimal l ap altitude for maximum coverage,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Optimal l ap altitude for maximum coverage,

Reference 30

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Observation 5e5fec68-5039-4239-8f19-c9b33140ac99 · outbound

This paper cites Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

Reference 31

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source=pdf_text observed=2026-08-03T02:40:00.430146Z digest=sha256:f4f4b53337ce4047c4a09839540a8ce00152c745a17534d212bf3ad632424af4

Observation 243467df-90c7-4fa0-810d-d8a3e10a4b57 · outbound

This paper cites The primacy bias in deep reinforcement learning,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks The primacy bias in deep reinforcement learning,

Reference 32

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source=pdf_text observed=2026-08-03T02:40:00.557127Z digest=sha256:0c0411f7a7ba8f347b90e0a14d439aeec974d1866aa8d625d98ac91efe50d7d6

Observation eaa43cb8-a373-41ab-b4d1-01ec61f10f63 · outbound

This paper cites On warm-starting neural netwo rk training,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks On warm-starting neural netwo rk training,

Reference 33

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source=pdf_text observed=2026-08-03T02:40:00.667349Z digest=sha256:4bd70b256d4364623210f7bc8923c6ff5dcf0abc6762c4c039fc76e7bf5c9676

Observation a1f9ae80-dbd1-41ba-9cae-e65d6fcf9260 · outbound

This paper cites On the convergence of adam and beyond,.

ORCHID: Fairness-Aware Orchestration in Mission-Critical Air-Ground Integrated Networks On the convergence of adam and beyond,

Reference 34

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