Pith. sign in

Paper Citation Record · LEDGER

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.23734.

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

pith.paper-citation-record.v1
2607.23734 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T14:32:44.039908Z

measured 14 of 14 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.

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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 767e8eae-a5c6-4df5-ac01-e1af4f632642 · outbound

This paper cites A robust trust management system for v2x networks integrating isac with blockchain smart contracts,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs A robust trust management system for v2x networks integrating isac with blockchain smart contracts,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.948759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.948759Z digest=sha256:d44b034456308bb095987fce192aed003f7f01e44f73a234a1cf8be7c5963396

Observation 5774f21b-58bb-4ab2-9df5-87562ed74c55 · outbound

This paper cites The role of isac in 6g networks: Enabling next-generation wireless systems,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs The role of isac in 6g networks: Enabling next-generation wireless systems,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.954145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.954145Z digest=sha256:057e880fd34059c8e8670d82f12136fd66de06f57224c526f7a74c48f0be8c5e

Observation f760dd76-60a5-4f4a-8f70-91deed5a26ec · outbound

This paper cites Low-altitude wireless networks: A comprehensive survey,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Low-altitude wireless networks: A comprehensive survey,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.959717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.959717Z digest=sha256:baa458800d7b07130f4f4330aeb875d98e7815401368038935587fdf312f3f68

Observation 4648e00f-90a5-4210-bbd4-8fdd25fb43eb · outbound

This paper cites Mobile edge computing via a uav- mounted cloudlet: Optimization of bit allocation and path planning,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Mobile edge computing via a uav- mounted cloudlet: Optimization of bit allocation and path planning,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.968233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.968233Z digest=sha256:64a0d46c4a2926505890c515b5e7b1de77730a475703b38df0daf50336cb5d4f

Observation 3832fd48-a71a-4d76-b947-69190a81fcb1 · outbound

This paper cites Caching on the sky: A multiagent federated reinforcement learning approach for uav-assisted edge caching,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Caching on the sky: A multiagent federated reinforcement learning approach for uav-assisted edge caching,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.975880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.975880Z digest=sha256:cee890c704113442e37616d5049a451651be1c118cccf212a732ce6a312b62d2

Observation b48ec23c-7f96-4af3-bb94-a9ffa7ab585b · outbound

This paper cites Deep reinforcement learning- based adaptive collision avoidance method for uav in joint operational airspace,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Deep reinforcement learning- based adaptive collision avoidance method for uav in joint operational airspace,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.982501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.982501Z digest=sha256:dad7d7ac3e511d6fff269817e427e36ebb9d42d03d2363e8129d5a07d745b1dc

Observation 57db1494-915a-4b8a-a9bb-3ae0b1e78b2c · outbound

This paper cites Decoupled association with rate splitting multiple access in uav-assisted cellular networks using multi-agent deep reinforcement learning,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Decoupled association with rate splitting multiple access in uav-assisted cellular networks using multi-agent deep reinforcement learning,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.988920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.988920Z digest=sha256:1bba9a397e452f57ec7e7537ded79be158107c4a82fca60b59aa447302246fec

Observation 8b354f9d-9dc7-46e9-93d0-b9a961c560e0 · outbound

This paper cites Predictive path planning of multiple uavs for effective network hotspot coverage,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Predictive path planning of multiple uavs for effective network hotspot coverage,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:43.998691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:43.998691Z digest=sha256:0bb19b84b1bfc82e3b9a7f0394893e5b13a073d4abff6a225a6f1764fada4214

Observation f4df9c1a-86f6-4116-ac83-939dd67e7a8b · outbound

This paper cites Opti- mized routing protocol through exploitation of trajectory knowledge for uav swarms,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Opti- mized routing protocol through exploitation of trajectory knowledge for uav swarms,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:44.009843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:44.009843Z digest=sha256:7df887366b34ce2bfbd8e0d7e7276ba5c789d1be7591d6f0ae3e86bef48818b9

Observation 20d1b90d-c1f4-4223-aaa1-fda3ef88e085 · outbound

This paper cites Joint uav placement and dependent task offloading in multi-uav mec networks: A graph attention enhanced drl approach,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Joint uav placement and dependent task offloading in multi-uav mec networks: A graph attention enhanced drl approach,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:44.015506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:44.015506Z digest=sha256:24713174ed4225cba234834799de44ecf5bf295ce8ce6edda13dc100bfdd0ba4

Observation edf285be-888e-4f4b-9636-106b74df898c · outbound

This paper cites Enhancing routing performance through trajectory planning with drl in uav-aided vanets,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Enhancing routing performance through trajectory planning with drl in uav-aided vanets,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:44.023433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:44.023433Z digest=sha256:182f3d30357a47ce55ea24aec41ca094d336e2e2939236f57037315737793234

Observation b686dca9-6cde-4af0-9153-9ce6e16f1f0a · outbound

This paper cites Graph soft actor–critic reinforcement learning for large-scale distributed multirobot coordination,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Graph soft actor–critic reinforcement learning for large-scale distributed multirobot coordination,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:44.028160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:44.028160Z digest=sha256:c6444787236a3bec70a714b1c51fdc19959e2b3de358e2693574bef825e917de

Observation 2cbace7a-e8b1-47f7-90ef-c5dd2fb967c5 · outbound

This paper cites Adaptive role learning with evolutionary multi-agent re- inforcement learning for uav-vehicle collaboration in sparse mobile crowdsensing,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Adaptive role learning with evolutionary multi-agent re- inforcement learning for uav-vehicle collaboration in sparse mobile crowdsensing,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:44.034925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:44.034925Z digest=sha256:5a4e6711d7f35e0e047cfd58008f0969036b7b4e5ce3e333ac1416537bb552f7

Observation f84c1135-52ec-4919-92ec-1a9da718a4f2 · outbound

This paper cites Multi-agent rein- forcement learning based uav swarm communications against jamming,.

TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs Multi-agent rein- forcement learning based uav swarm communications against jamming,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-30T14:32:44.039908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:32:44.039908Z digest=sha256:d998908b22f2bbe8749c436c65c6e76f7b009e2c23e99de82c8f991228059a67

Pith citing papers

No inbound Pith citation observations are available.