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Paper Citation Record · LEDGER

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.18604.

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

pith.paper-citation-record.v1
2607.18604 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:56:39.342351Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

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  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03938652-6824-4b34-8cb0-f8dabafdd4f9 · outbound

This paper cites 3D aerial highway: The key enabler of the retail industry transformation,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach 3D aerial highway: The key enabler of the retail industry transformation,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.300053Z digest=sha256:1baa76cdfb6cd176b862101f19fbc7726c6dcb4a5f217405e7a62e9a563c78e0

Observation 6bcddf8b-9cdf-462b-b8a7-6739c7d9a6d5 · outbound

This paper cites Multi-UA V speed control with collision avoidance and handover-aware cell association: DRL with action branching,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Multi-UA V speed control with collision avoidance and handover-aware cell association: DRL with action branching,

Reference 2

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source=pdf_text observed=2026-08-01T14:56:39.303678Z digest=sha256:4553dc3f3e7a58a00bf0bbf4e438df2e5fcd9c06e92f7398e2e851b2c2da2397

Observation 58721130-5526-4af9-a010-c294c2f0667b · outbound

This paper cites HAPS-ITS: Enabling future its services in trans-continental highways,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach HAPS-ITS: Enabling future its services in trans-continental highways,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.306267Z digest=sha256:e73e71b033121cccf3521b19e296f33b666c1fb7e0616cfd674e2e80eb2a251f

Observation da0c261d-e050-4980-a3d4-e33985734a92 · outbound

This paper cites Reinforcement learning for joint V2I network selection and autonomous driving policies,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Reinforcement learning for joint V2I network selection and autonomous driving policies,

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.309027Z digest=sha256:5d5a40c3442ddb95f02375ad9a7e17fb0ff554468881aebf48ec170128259a33

Observation aaf748b2-5494-4554-9123-fea7d96540bc · outbound

This paper cites RL-based cargo-UA V trajectory planning and cell association for minimum handoffs, disconnectivity, and energy con- sumption,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach RL-based cargo-UA V trajectory planning and cell association for minimum handoffs, disconnectivity, and energy con- sumption,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.311939Z digest=sha256:ce5b6322df48746a68aa8c28a95cedecb56f6a3ae9b5b4b0c5d2891a69b34263

Observation 0dc9889e-c39e-4e13-96b4-22c8f9adf043 · outbound

This paper cites Dynamics of laser-charged UA Vs: A battery perspective,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Dynamics of laser-charged UA Vs: A battery perspective,

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T14:56:39.315205Z digest=sha256:27b7b1c0570fb2176b17afcd26000a8b1768d68fd73c8f81ed4f408b2a778c22

Observation c8f53b67-46d6-4752-8c94-90e8ccc52aab · outbound

This paper cites CVaR-based variational quantum optimization for user association in handoff-aware vehicular networks,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach CVaR-based variational quantum optimization for user association in handoff-aware vehicular networks,

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.318204Z digest=sha256:465f06b7ce6c278fda0872bd69784f05f52bb9924a565e4860482568be3725e8

Observation a37638e8-ea0d-4a4f-be49-8be046239110 · outbound

This paper cites Aerial Agentic AI: Synergizing LLM and SLM for Low-Altitude Wireless Networks,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Aerial Agentic AI: Synergizing LLM and SLM for Low-Altitude Wireless Networks,

Reference 8

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source=pdf_text observed=2026-08-01T14:56:39.321147Z digest=sha256:30ebb6f66aae6cb1b2c55f172db3d4f5ea58534d0e06787b77cc431160470b86

Observation aa227ecb-c4cf-4513-a393-4fe486b6e206 · outbound

This paper cites Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks

Reference 9

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.324190Z digest=sha256:145db17d422d7d9bfedc1daa1030ceb3a173edeb76f718e7d2f6735f89f02246

Observation 535e1224-fbf6-45af-99df-09fa878a8411 · outbound

This paper cites BDFL: A byzantine-fault-tolerance decentralized federated learning method for autonomous vehicle,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach BDFL: A byzantine-fault-tolerance decentralized federated learning method for autonomous vehicle,

Reference 10

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source=pdf_text observed=2026-08-01T14:56:39.327326Z digest=sha256:4dd2fa861ccc11b8729c9bc333fd2afb30acc443fd5d6e08a6694ad366316db2

Observation 698843b2-f277-4355-8eb2-fc51d39b6053 · outbound

This paper cites Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving,

Reference 11

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source=pdf_text observed=2026-08-01T14:56:39.329913Z digest=sha256:fa61da31e3ae21d2bc119541f9d9b90bc66ca2e57619585a349af05073170b53

Observation be65e212-6e2f-4b19-a4e6-0d88e2c710b6 · outbound

This paper cites Qwen3 Technical Report.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Qwen3 Technical Report

Reference 12

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.332288Z digest=sha256:98626e9d04a3442d391f99a66c0be67c4435922a0399026311f2da5c68cfaa86

Observation 611be7f3-8305-4e60-9b73-632603a25b8f · outbound

This paper cites Cellular-connected UA V in next-generation wireless net- works,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Cellular-connected UA V in next-generation wireless net- works,

Reference 13

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.335097Z digest=sha256:7234231c82fe46938e517736268ea5b2b8cf491f45a68eff85913df3b9564313

Observation 58845907-5c09-470c-a591-3a1e58661a4f · outbound

This paper cites Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control,

Reference 14

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source=pdf_text observed=2026-08-01T14:56:39.337388Z digest=sha256:2de63176ff0081b3319a5ae0f3ccf47fa97e93998c9da21b22350e82247fe0a4

Observation 422da8aa-a943-4296-becd-54e870439b07 · outbound

This paper cites A machine learning-based toolbox for p4 pro- grammable data-planes,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach A machine learning-based toolbox for p4 pro- grammable data-planes,

Reference 15

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source=pdf_text observed=2026-08-01T14:56:39.340055Z digest=sha256:e8fb8cd1a38a4afef2f63550561a88f877e25061d1049dc40b961545fdc39e2e

Observation 8f8b39a9-d091-4a8e-85cc-9b00f07a70f7 · outbound

This paper cites Generalized multi-objective reinforcement learning with envelope updates in URLLC-enabled vehicular networks,.

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach Generalized multi-objective reinforcement learning with envelope updates in URLLC-enabled vehicular networks,

Reference 16

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source=pdf_text observed=2026-08-01T14:56:39.342351Z digest=sha256:caa8fc123bd17b073a2b535a2957a8162776caf959532e3b84fa23624d1ba121

Pith citing papers

No inbound Pith citation observations are available.