Paper Citation Record · LEDGER

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.00386.

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

pith.paper-citation-record.v1
2412.00386 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:29:36.881155Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy12
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55dfa55c-2892-4b4a-9234-2b192838c188 · outbound

This paper cites Radio Map-Based 3D Path Planning for Cellular-Connected UA V ,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Radio Map-Based 3D Path Planning for Cellular-Connected UA V ,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.183791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d391cb8b-6a8b-486b-97bd-5c40c597af3a · outbound

This paper cites Deep reinforce- ment learning based trajectory design and resource allocation for UA V-assisted communications,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Deep reinforce- ment learning based trajectory design and resource allocation for UA V-assisted communications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.168416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00cd9f1b-79f5-4841-955e-915f9690cdea · outbound

This paper cites How much data is needed for channel knowledge map construction?,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach How much data is needed for channel knowledge map construction?,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.153227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26350924-bc9c-4c96-8ee6-803fd64df96b · outbound

This paper cites A Tutorial on Environment-Aware Communi- cations via Channel Knowledge Map for 6G,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach A Tutorial on Environment-Aware Communi- cations via Channel Knowledge Map for 6G,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.136916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46346c1c-593d-4447-99f6-731d8d815517 · outbound

This paper cites Con- structing accurate Radio Environment Maps with Kriging Inter- polation in Cognitive Radio Networks,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Con- structing accurate Radio Environment Maps with Kriging Inter- polation in Cognitive Radio Networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.120968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68522b0f-d348-4878-a796-26181d07f924 · outbound

This paper cites RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.105984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e255eac0-e352-4693-9ea6-c40201403964 · outbound

This paper cites Integrating Air and Ground: Crafting a Universal 3D Channel Knowledge Map for AIM,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Integrating Air and Ground: Crafting a Universal 3D Channel Knowledge Map for AIM,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.090251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d63fcece-13df-441f-8896-8ec370839e1d · outbound

This paper cites UA V-Aided Radio Map Construction Ex- ploiting Environment Semantics,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach UA V-Aided Radio Map Construction Ex- ploiting Environment Semantics,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.074206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48d7e142-1ecb-4a66-95b6-0d3983b19f8c · outbound

This paper cites Positioning error compensation by channel knowledge map in UA V communication missions,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Positioning error compensation by channel knowledge map in UA V communication missions,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-12T05:29:36.992908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b3ea2d8-a04a-45dd-9832-4361b2adbb64 · outbound

This paper cites Generative adversarial networks: An overview,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Generative adversarial networks: An overview,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.056971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eeb6ed9e-d6e1-4297-bea3-311b8ed7729b · outbound

This paper cites Deep generative modelling: A comparative review of V AEs GANs normalizing flows energy-based and autoregressive models,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Deep generative modelling: A comparative review of V AEs GANs normalizing flows energy-based and autoregressive models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.041077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 919bd592-d0b7-419d-b15c-01fbc596d86c · outbound

This paper cites EasyGen: Easing multimodal generation with BiDiffuser and LLMs,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach EasyGen: Easing multimodal generation with BiDiffuser and LLMs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.024772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62dfe9b8-c6f9-47c1-9e06-ec1eaaea77f0 · outbound

This paper cites Improved training of Wasserstein GANs,.

Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach Improved training of Wasserstein GANs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:29:37.008773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.