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Paper Citation Record · LEDGER

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.08680.

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

pith.paper-citation-record.v1
2501.08680 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:23:46.872374Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd055915-91b0-4e62-80d5-148daaad1857 · outbound

This paper cites On the road to 6G: Visions, requirements, key technologies and testbeds,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications On the road to 6G: Visions, requirements, key technologies and testbeds,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.264697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.799461Z digest=sha256:a27b1697ee9d359d26cbfda2c834252027dcfc6d6d0ff8b2496eabe009143a09

Observation c40fbab7-492d-42d2-aeec-8e2609cbff6c · outbound

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

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications SRCON: A data-driven network performance simu- lator for real-world wireless networks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.245715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.804524Z digest=sha256:ceeae3b04e800b62bcd0492e105054f6d6675ccf891d8c681ebf1d02db3b1728

Observation 5a763d20-ebd7-42ba-b9c9-acb04c9fbfd9 · outbound

This paper cites 6G wireless channel measurements and models: Trends and challenges,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications 6G wireless channel measurements and models: Trends and challenges,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.223486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.809672Z digest=sha256:e0ac84b34dc7f5a8703e6e0f3369ca2e9ea9a36a5f019bf86c460305a6067990

Observation 6c150d77-fc69-4911-867d-87858d8462f7 · outbound

This paper cites Digital Twin in Industry: State-of-the-Art,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications Digital Twin in Industry: State-of-the-Art,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.204511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.815400Z digest=sha256:807e80dcd0d3e6556a8719caa07ecd9d608f92976c9adf86bcfd79bf2aaac068

Observation 9ef8b031-7ce5-4be6-b8da-fa42295fa995 · outbound

This paper cites Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:23:47.004760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.821155Z digest=sha256:c97bc553008e2c98660cf55608123cf37cff47da38b427c4f1e7fcfe8b9e070e

Observation b0bad656-9b6a-4b29-aa85-a961e8084da5 · outbound

This paper cites , ”Generative adversarial networks based digital twin channel modeling for intelligent communication networks,” China Com- munications, vol.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications , ”Generative adversarial networks based digital twin channel modeling for intelligent communication networks,” China Com- munications, vol

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.188273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.827276Z digest=sha256:f977cd20f66fe937fa4457397bfaa4a4d26c6978a68ae77156e8e07e8f6775bb

Observation 767a070b-6820-4fac-85d7-54f881c6f998 · outbound

This paper cites Li, et al.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications Li, et al

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.167272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.833348Z digest=sha256:94a8612c963a300f1a05ae475ede9e2552e0b4fa3561b5c2310ffd04450a66c7

Observation 6bc7ded7-70ef-4f76-b737-9d824a59a20d · outbound

This paper cites 6G digital twin networks: From theory to practice,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications 6G digital twin networks: From theory to practice,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.148928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.839077Z digest=sha256:1b8760ca90dfdb3d3694e64bbd649144fa62359af0a528c955da9cb3ca8bb6ec

Observation e79c5950-1a2a-45dc-aa70-5dc32b5c6dcf · outbound

This paper cites A tutorial on environment-aware communications via channel knowledge map for 6G,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications A tutorial on environment-aware communications via channel knowledge map for 6G,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:23:46.843624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:23:46.843624Z digest=sha256:cbf5ee6488cbeb4b9e399950e38887df60f4fe6afec13c2d0e3caf69856908ac

Observation 029b137c-a986-4df1-b09a-5b5d6e75e7e7 · outbound

This paper cites Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications Pervasive wireless channel modeling theory and applications to 6G GBSMs for all frequency bands and all scenarios,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.129133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.847933Z digest=sha256:cc6b7fd820aa64bb13b9b1e2f966c2a6c28c673fb8a47c3d4574ea2c82bcdba2

Observation 9cc8369d-5a7c-48b4-91c9-d178deddae2a · outbound

This paper cites A frequency-domain predictive channel model for 6G wireless MIMO systems based on deep learning,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications A frequency-domain predictive channel model for 6G wireless MIMO systems based on deep learning,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.108240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.852115Z digest=sha256:fc5531baf88c4070b16ef174c9b11523fd43153131b7f9b25ed750d1db678e86

Observation e30b94da-a560-4434-bf45-ebad76126662 · outbound

This paper cites A radio wave propagation modeling method based on high-precision 3-D mapping in urban scenarios,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications A radio wave propagation modeling method based on high-precision 3-D mapping in urban scenarios,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.082448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.856432Z digest=sha256:efe34d55a796136a498f1ab4d30e7ad44287fd3a2af15e476e62ba92cbe1f624

Observation 25cec6ea-fbd4-471a-88c8-a125d99ac2b3 · outbound

This paper cites Impacts of point cloud modeling on the accuracy of ray-based multipath propagation simula- tions,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications Impacts of point cloud modeling on the accuracy of ray-based multipath propagation simula- tions,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.059776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.860687Z digest=sha256:3ca52c34fe0477f3d7a1f7559eaeed31dc38b5168a94b31d932747d3cfadfec0

Observation 6d854d21-4e34-4bcc-a343-ed06064d5e95 · outbound

This paper cites Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:23:46.866548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:23:46.866548Z digest=sha256:3fcf6bbefecd29239f471f76f5d08b25e3586c1d4d7b01af10adf9911a21e15e

Observation e325b09d-2c17-41fc-94a2-f8a85abd5281 · outbound

This paper cites RadioUNet: Fast radio map estimation with convolutional neural networks,.

Digital Twin Online Channel Modeling: Challenges,Principles, and Applications RadioUNet: Fast radio map estimation with convolutional neural networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:23:47.025918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:23:46.872374Z digest=sha256:661725ea622f5e4ea9f6825c8b9838e6662bcb11a22e8fccba3e0d0adaa94529

Pith citing papers

No inbound Pith citation observations are available.