Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

  • verified exact0
  • 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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.300053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.300053Z digest=sha256:f0419f58dcc958a9fe8f7e277cdd964edbe0539f2e1a5b743939e85a0f9b4efb

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.303678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.303678Z digest=sha256:173736a733a119fa0e8335708d9ff1446a5ae6203e3d79c99bccfd2db98d0a16

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.306267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.306267Z digest=sha256:cf30f4d1dc7825f55e54619484306daf0714d117f48f901cce0bc77251071865

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.309027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.309027Z digest=sha256:b8405b7f014c147e1dbdc0e4cde7d4aa6db744298d6264838a17d121994a2edf

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.311939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.311939Z digest=sha256:e4d16fe39f8a6eee4b1b5dfa8c0c216497214d37e1ca666e829eaeb259ab576d

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.315205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.315205Z digest=sha256:cae9c779569198dbf39864c8cde17d7adf8c4a4b0e60a25f395588d7c1cd13c4

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.318204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.318204Z digest=sha256:ead0bb2ea812249f53860236ff89c446fb64a4297b08e1a611fb6bd7866826cc

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.321147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.321147Z digest=sha256:7f9b2f35d09998a23fc84eab8abe91c5da73007a4f00deb8d7293b9940a0304e

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
unresolved
no resolver link, observed 2026-08-01T14:56:39.324190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.324190Z digest=sha256:b54009d127eb6102fdde7b4e723422da1a3cba71ecb8534290e671d2f925ca41

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.327326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.327326Z digest=sha256:95422391cb4fc8d67b378bee8a8a80cd4b225ccc9d49bd0fda1d190136a7adb3

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.329913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.329913Z digest=sha256:a90b5dacdb9fceba47c1018b330ceafab03f3b1a3ad27f3bee88e82d3cfe2223

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
unresolved
no resolver link, observed 2026-08-01T14:56:39.332288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.332288Z digest=sha256:0ec3ac225843373dd0460782be0e48e550bca6389677f597a56c3f7f0952094c

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
unresolved
no resolver link, observed 2026-08-01T14:56:39.335097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.335097Z digest=sha256:14a240925318774b7385e90faade77f4972241acecc71fd6a2a63154d40525fd

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.337388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.337388Z digest=sha256:654ed7f59a4cc2763ab6f27c3b1eda0084da246caaee3840056a87a146eca9a6

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.340055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.340055Z digest=sha256:eb7bc0eba9ca55b099b29dd0b1727954426a30ef12d9c4715993b12bb192eda9

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

Resolution
unresolved
no resolver link, observed 2026-08-01T14:56:39.342351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:56:39.342351Z digest=sha256:98864d791ceec8a14664967978afb2daed8ffe3aad3619291f151a8c38d202f7

Pith citing papers

No inbound Pith citation observations are available.