Paper Citation Record · LEDGER

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications

As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2412.07681.

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

pith.paper-citation-record.v1
2412.07681 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:40:36.361748Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:37.550600Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:17:38.409518Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy9
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86784d4d-89fd-4d5b-bab0-08332413759c · outbound

This paper cites Vision, requirements and network architecture of 6g mobile network beyond 2030,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Vision, requirements and network architecture of 6g mobile network beyond 2030,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.909010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 07cce0d6-57b4-4edc-8a34-10bbb8bc8770 · outbound

This paper cites 3-d mimo: How much does it meet our expectations observed from channel measurements?.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications 3-d mimo: How much does it meet our expectations observed from channel measurements?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.884581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc325e1f-09e3-45f1-b9f7-c432b82b41fe · outbound

This paper cites 6G Channel Modeling: Requirement, Measurement, Methodology and Simulator.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications 6G Channel Modeling: Requirement, Measurement, Methodology and Simulator

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.198467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e28b9da-0b8e-4069-a386-a9d9fc052ea7 · outbound

This paper cites Three-dimensional fading channel models: A survey of elevation angle research,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Three-dimensional fading channel models: A survey of elevation angle research,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.852547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4750ecd0-910b-421a-8547-50ac499552b2 · outbound

This paper cites Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.222535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a5bb15-55cc-464f-a34d-a0192c4396c7 · outbound

This paper cites A predictive 6g network with environment sensing enhancement: From radio wave propagation perspective,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications A predictive 6g network with environment sensing enhancement: From radio wave propagation perspective,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.822696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b06b78c6-d4c3-466c-bc01-deec71510222 · outbound

This paper cites Visual sensing-based path loss prediction method,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Visual sensing-based path loss prediction method,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.790414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e4092bf4-a07b-493f-9400-653cc0c695ee · outbound

This paper cites Deep-learning path loss prediction model using side-view images,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Deep-learning path loss prediction model using side-view images,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.763767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60fe0201-cf5c-4142-8200-3faa9bc909d2 · outbound

This paper cites Predicting path loss distributions of a wireless communication system for multiple base station altitudes from satellite images,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Predicting path loss distributions of a wireless communication system for multiple base station altitudes from satellite images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.727819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 51cb4326-43ca-4610-8193-11b628ea7932 · outbound

This paper cites Machine-learning and 3d point-cloud based signal power path loss model for the deployment of wireless communi- cation systems,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Machine-learning and 3d point-cloud based signal power path loss model for the deployment of wireless communi- cation systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.682621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c6e43084-92cf-4a1b-b685-9053264abbc0 · outbound

This paper cites Machine learning-based urban canyon path loss prediction using 28 ghz manhattan measurements,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Machine learning-based urban canyon path loss prediction using 28 ghz manhattan measurements,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.300259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa222e2-b02f-4a84-88ca-1c45674b2b3b · outbound

This paper cites Color gamut transform pairs,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Color gamut transform pairs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:40:36.626259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f486396-3cb7-4038-a123-f438eefa7eb7 · outbound

This paper cites an unresolved cited work.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.318151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ecf5a6-2398-40a4-81e1-1e995a8af8bf · outbound

This paper cites Resnet in Resnet: Generalizing Residual Architectures.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Resnet in Resnet: Generalizing Residual Architectures

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.331346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecb9358a-e846-4466-b378-856dfb167673 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.343871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c71ea03-0355-43e8-a55b-afc9dbf938a9 · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Gate-variants of gated recurrent unit (gru) neural networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.352868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c8388a-16df-4ab4-9c07-c5fb421c25db · outbound

This paper cites Attention is all you need,.

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications Attention is all you need,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T18:40:36.361748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a2a5981e-0d71-41fa-838e-679e207c68f0 · inbound

Multi-Modal Large Models Based Beam Prediction: An Example Empowered by DeepSeek cites this paper.

Multi-Modal Large Models Based Beam Prediction: An Example Empowered by DeepSeek Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:17:38.454777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.