Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:57:22.441613Z
Paper Citation Record · LEDGER
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application
As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.19974.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact3
- verified fuzzy22
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 65367548-1716-45b9-8b36-a81e6f4df5ae · outbound
This paper cites Wireless Environmental Information Theory: A New Paradigm towards 6G Online and Proactive Environment Intelligence Communication.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Wireless Environmental Information Theory: A New Paradigm towards 6G Online and Proactive Environment Intelligence Communication
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:57:20.482989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e20ecd1c-6d0e-420a-ad81-d2762b71bc55 · outbound
This paper cites 6G Channel Modeling: Requirement, Measurement, Methodology and Simulator.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application 6G Channel Modeling: Requirement, Measurement, Methodology and Simulator
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:57:20.555517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5764e0d1-c809-418c-8433-ce0a66f29f90 · outbound
This paper cites Deep Reinforcement Learning for Stochastic Com- putation Offloading in Digital Twin Networks [J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Deep Reinforcement Learning for Stochastic Com- putation Offloading in Digital Twin Networks [J]
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.464739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 26455c5d-ebac-48e7-9fec-483925bde959 · outbound
This paper cites Multi- Frequency Channel Measurement in Smart Fac- tories: Comparative Analysis with 3GPP InF Scenarios[C]//2024 IEEE 100th Vehicular Tech- nology Conference (VTC2024-Fall).
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Multi- Frequency Channel Measurement in Smart Fac- tories: Comparative Analysis with 3GPP InF Scenarios[C]//2024 IEEE 100th Vehicular Tech- nology Conference (VTC2024-Fall)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.448345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b2697d3b-eb74-497b-a206-2c4957026c19 · outbound
This paper cites A Compre- hensive Survey on Resource Management in 6G Network Based on Internet of Things[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application A Compre- hensive Survey on Resource Management in 6G Network Based on Internet of Things[J]
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.425796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc9b3776-6d31-4662-9e1b-58f4aa955299 · outbound
This paper cites Knowledge- Driven Resource Allocation for Wireless Net- works: A WMMSE Unrolled Graph Neural Net- work Approach[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Knowledge- Driven Resource Allocation for Wireless Net- works: A WMMSE Unrolled Graph Neural Net- work Approach[J]
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.407194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7969806a-2cbb-4555-a9b6-933c22aa8c12 · outbound
This paper cites Deep Reinforce- ment Learning Based Resource Allocation for V2V Communications[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Deep Reinforce- ment Learning Based Resource Allocation for V2V Communications[J]
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.391588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25b48bc3-8a8a-488a-92db-968cb043e008 · outbound
This paper cites A Predic- tive 6G Network with Environment Sensing En- hancement: From Radio Wave Propagation Per- spective[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application A Predic- tive 6G Network with Environment Sensing En- hancement: From Radio Wave Propagation Per- spective[J]
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.328903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 85ea6581-285b-4978-92f0-7056526c4802 · outbound
This paper cites Digital-Twin- Assisted Resource Allocation for Network Slic- ing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Digital-Twin- Assisted Resource Allocation for Network Slic- ing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning[J]
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:27.034256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 93def884-976c-4d2b-ac76-bba537bad2a8 · outbound
This paper cites Digital Twin Channel for 6G: Concepts, Architectures and Po- tential Applications[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Digital Twin Channel for 6G: Concepts, Architectures and Po- tential Applications[J]
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:26.827007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b989fead-9f73-4802-b320-4896d8bb8de8 · outbound
This paper cites Data Aug- mentation for Predictive Digital Twin Channel: Learning Multi-domain Correlations by Convo- lutional TimeGAN[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Data Aug- mentation for Predictive Digital Twin Channel: Learning Multi-domain Correlations by Convo- lutional TimeGAN[J]
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:26.615573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation be428738-deba-4ecb-b874-14ef3fc18fe4 · outbound
This paper cites SRCON: A Cata-driven Network Performance Cimulator for Real-world Wireless Networks[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application SRCON: A Cata-driven Network Performance Cimulator for Real-world Wireless Networks[J]
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:26.413937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0eef8076-b9ae-406a-95cc-5205fbe5a548 · outbound
This paper cites Dig- ital Twin-Enhanced Deep Reinforcement Learn- ing for Resource Management in Networks Slic- ing[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Dig- ital Twin-Enhanced Deep Reinforcement Learn- ing for Resource Management in Networks Slic- ing[J]
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:26.188627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 33564460-130c-4848-8d6a-0247efa4caa2 · outbound
This paper cites Computer Vision Aided mmWave Beam Alignment in V2X Com- munications[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Computer Vision Aided mmWave Beam Alignment in V2X Com- munications[J]
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:26.003593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21638cfd-ca8f-49a2-ac87-8ee36daa6614 · outbound
This paper cites Multi-user Matching and Resource Allocation in Vision Aided Communications[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Multi-user Matching and Resource Allocation in Vision Aided Communications[J]
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:25.813321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 16ac6c1f-cb8a-4b16-9c82-57c8adbfb703 · outbound
This paper cites Toward Environment-aware 6G Communications via Channel Knowledge Map [J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Toward Environment-aware 6G Communications via Channel Knowledge Map [J]
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:25.564802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 80cea37c-2b0f-499c-8781-9e10cefdf1af · outbound
This paper cites A Tutorial on Environment-aware Communications via Chan- nel Knowledge Map for 6G[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application A Tutorial on Environment-aware Communications via Chan- nel Knowledge Map for 6G[J]
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:25.351570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e7321671-d188-416c-85c2-402443ea922e · outbound
This paper cites Radio En- vironment Knowledge Pool for 6G Digital Twin Channel[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Radio En- vironment Knowledge Pool for 6G Digital Twin Channel[J]
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:25.082862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fa5a7f61-266c-42c9-89e0-47bca9338fc6 · outbound
This paper cites BUPTCMCC-6G- DataAI+: A Generative Channel Dataset for 6G AI-air Interface Research[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application BUPTCMCC-6G- DataAI+: A Generative Channel Dataset for 6G AI-air Interface Research[J]
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:24.872218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation de2cc6f3-031a-4208-969a-afd80dd0d210 · outbound
This paper cites Road to 6G Digital Twin Networks: Multi-Task Adaptive Ray-Tracing as a Key Enabler.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Road to 6G Digital Twin Networks: Multi-Task Adaptive Ray-Tracing as a Key Enabler
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:57:23.131282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc7efafb-67ef-4928-bf9d-3bf13a800845 · outbound
This paper cites Wireless Environment Information Sensing, Feature, Semantic, and Knowledge: Four Steps Towards 6G AI-Enabled Air Interface.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Wireless Environment Information Sensing, Feature, Semantic, and Knowledge: Four Steps Towards 6G AI-Enabled Air Interface
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:57:22.900679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 676442e3-c13b-4be7-946d-0b2046c9e0dd · outbound
This paper cites Envi- ronment Information-based Channel Prediction Method Assisted by Graph Neural Network[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Envi- ronment Information-based Channel Prediction Method Assisted by Graph Neural Network[J]
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:24.629579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2cecde9f-b249-4501-9b9d-9d89897c5273 · outbound
This paper cites Environ- ment Features-Based Model for Path Loss Pre- diction[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Environ- ment Features-Based Model for Path Loss Pre- diction[J]
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:24.398701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation af4f39c0-792b-4638-91e6-2e1968ecdcbf · outbound
This paper cites How to De- fine the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Predic- tion[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application How to De- fine the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Predic- tion[J]
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:24.134460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e05c758-022f-4417-8c33-10053b5d050f · outbound
This paper cites Electromagnetic Wave Property Inspired Radio Environment Knowledge Construction and AI-based Verification for 6G Digital Twin Channel.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Electromagnetic Wave Property Inspired Radio Environment Knowledge Construction and AI-based Verification for 6G Digital Twin Channel
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:57:22.649873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3839f0cf-d91b-4e74-9180-dc107c1863d9 · outbound
This paper cites ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:57:22.229852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f06ba2de-fb03-422f-a5eb-91adbd6130c7 · outbound
This paper cites Network Traffic Prediction Model Considering Road Traffic Pa- rameters Using Artificial Intelligence Methods in V ANET[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Network Traffic Prediction Model Considering Road Traffic Pa- rameters Using Artificial Intelligence Methods in V ANET[J]
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:23.790348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0c0fe5de-0d86-4d8f-915d-a438774a1ce3 · outbound
This paper cites an unresolved cited work.
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:57:23.550093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ac567371-a066-4f65-b8f1-c69ed31c8527 · outbound
This paper cites Can Wireless En- vironment Information Decrease Pilot Overhead: A Channel Prediction Example[J].
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application Can Wireless En- vironment Information Decrease Pilot Overhead: A Channel Prediction Example[J]
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:57:23.396065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.