Paper Citation Record · LEDGER

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2508.06054.

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

pith.paper-citation-record.v1
2508.06054 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:06:52.609578Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T19:53:48.913759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:19:22.689164Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy14
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b1449f0-6b88-4d4d-b6be-a734aac4779d · outbound

This paper cites SRCON: A data-driven network performance simulator for real-world wireless networks,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling SRCON: A data-driven network performance simulator for real-world wireless networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.842434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d503ee49-5948-4398-bbd5-2182f470d3e6 · outbound

This paper cites Minimization of drive tests solution in 3GPP,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Minimization of drive tests solution in 3GPP,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.829824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f2090bd-97d8-417c-92a4-8e368fad92f2 · outbound

This paper cites Statistical channel modeling methods in wireless network twinning: current status and frontiers,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Statistical channel modeling methods in wireless network twinning: current status and frontiers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.816844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0aa1b44-89d7-4f53-8fdb-8629bd56253e · outbound

This paper cites A survey of 5G channel measurements and models,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling A survey of 5G channel measurements and models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.803236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28f6b7a7-1181-47d1-bc82-4a847840050f · outbound

This paper cites The design and applications of high-performance ray-tracing simulation platform for 5G and beyond wireless communications: A tutorial,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling The design and applications of high-performance ray-tracing simulation platform for 5G and beyond wireless communications: A tutorial,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.790598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c44e61a-064d-413a-a4c8-734bd5a755dd · outbound

This paper cites A physics-based and data-driven approach for localized statistical channel modeling,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling A physics-based and data-driven approach for localized statistical channel modeling,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.777745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1935886f-6ccc-4d9f-a4f3-df281b3bf9d7 · outbound

This paper cites Neural enhanced variational Bayesian inference on graphs for localized statis- tical channel modeling,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Neural enhanced variational Bayesian inference on graphs for localized statis- tical channel modeling,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.765060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 949ae677-62df-4c8b-aa62-a3f6ba8933a0 · outbound

This paper cites Winert: Towards neural ray tracing for wireless channel modelling and differentiable simulations,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Winert: Towards neural ray tracing for wireless channel modelling and differentiable simulations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.751988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d253506-9af2-4151-905e-cd5136a34264 · outbound

This paper cites Fast and efficient cross band channel prediction using machine learning,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Fast and efficient cross band channel prediction using machine learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:52.581917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff23709-f7d8-4ee4-912b-8855e2a48016 · outbound

This paper cites Nerf2: Neural radio-frequency radiance fields,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Nerf2: Neural radio-frequency radiance fields,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.729878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61e850c6-6ef3-451a-a3b5-a5831099fb9b · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.717876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9f7b1c9-b582-4b08-a628-c9237447c19b · outbound

This paper cites How to define the propagation environment semantics and its application in scatterer-based beam prediction,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling How to define the propagation environment semantics and its application in scatterer-based beam prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.705374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aba87f2d-c09f-4323-a2b2-e7d9e25c1697 · outbound

This paper cites Multi-grid-based localized statistical channel modeling: A radio map approach,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Multi-grid-based localized statistical channel modeling: A radio map approach,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.692798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68b78c25-031d-49f8-bd3d-58f86228bcff · outbound

This paper cites Tse and P.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Tse and P

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:52.598983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 736ce208-40f3-487e-89af-96a6c51658c0 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.672496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78cbd34d-fd71-4cab-aeca-216ba35d16b6 · outbound

This paper cites Plenoxels: Radiance fields without neural networks,.

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Plenoxels: Radiance fields without neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:06:52.659589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed2edee4-bd08-4166-bc05-423842fe42d1 · outbound

This paper cites Volume Rendering Digest (for NeRF).

Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling Volume Rendering Digest (for NeRF)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:52.609578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1c6cd5f8-0391-49f6-8a7a-8b4395f65a2e · inbound

Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting cites this paper.

Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting Multi-Modal Neural Radio Radiance Field for Localized Statistical Channel Modelling

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:19:22.692038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.