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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.799461Z digest=sha256:0a7c4e9f13ccfa9ea49013e10bf7ca1934dcf2d06ddcd4c40e451b22bbd2c0bf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.804524Z digest=sha256:8a87f859c292485408cee2d46559b4eebf77fca250e2193c1a17dfc7c0844a0b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.809672Z digest=sha256:0396464b026b38caf0b7a40d2f6eefabee3361a258c94d312b1765750b59512c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.815400Z digest=sha256:ad20382600b959ac42fbad03679cc5cfde5dfb2fd41576e0ff23894410bcc16c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.821155Z digest=sha256:fdee916687816e5c5849783240ebca972f9d508634155a02e8156467505b2370

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.827276Z digest=sha256:356c8fa1c733e83c87f95a93786bca272f2b713385f885b3115c4655fa1800d2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.833348Z digest=sha256:898fbb8f9006ae6d675874c070805b09aa5c19888aa98fd4fe2365e0588978bd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.839077Z digest=sha256:a1d4925d0ab54feeb0f017efb1e26446a99448912a105c00a7c61dbe25d6f3ec

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.847933Z digest=sha256:d6cf30583c3f836274e05026ecf5b3516a526ff9424cd242070989338b86ead4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.852115Z digest=sha256:53d818aee8836311cc2919be2b25693d891ae6e2811cd159c7706ddec90b9987

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.856432Z digest=sha256:cb60a133d70541dc87dc0b3f4c481832a2e593683f6b19fedbbcd4054d9e916b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.860687Z digest=sha256:66269620ffed3804d804af16dabceb7a7b56724bb400d5ec90ee7c1f4d898fd0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T20:23:46.872374Z digest=sha256:ef00b3f7970ed8ded9308295c7edd81598cb70c18d2661afd6de9027c9e64479

Pith citing papers

No inbound Pith citation observations are available.