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Paper Citation Record · LEDGER

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.15806.

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

pith.paper-citation-record.v1
2607.15806 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:21:04.417230Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • verified fuzzy0
  • unresolved30
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  • malformed identifier3
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External citation measurements

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Outbound references

Observation 6b207358-9fb2-4b83-a641-d23e5150d4ba · outbound

This paper cites Association for Computing Machinery, New York, NY, USA, 1 edn.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Association for Computing Machinery, New York, NY, USA, 1 edn

Reference 1

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Observation bddc1567-2aee-466f-b8d4-fd892f3291d9 · outbound

This paper cites In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2

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Observation bd75af0f-7d50-48bf-a4cc-916d00102018 · outbound

This paper cites InverTwin: Solving Inverse Problems via Differentiable Radio Frequency Digital Twin.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing InverTwin: Solving Inverse Problems via Differentiable Radio Frequency Digital Twin

Reference 3

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Observation d0699301-7a64-4bb2-b5bd-738816961a8b · outbound

This paper cites In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 4

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Observation 332a2242-29b2-4bdb-bddd-f9bee1d2971a · outbound

This paper cites In: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems

Reference 5

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Observation 45963e9e-d541-4a60-a075-e0802ffe2ac8 · outbound

This paper cites In: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems

Reference 6

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Observation 49992583-ef05-49bb-b08c-b3d7c6726922 · outbound

This paper cites Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing

Reference 7

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Observation a475d92c-add6-4477-9beb-0c6163ebd25f · outbound

This paper cites https: //www.seas.upenn.edu/~richeek/blog/2024/mmwave- material- extraction/ (2024), accessed: 2026-03-02.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing https: //www.seas.upenn.edu/~richeek/blog/2024/mmwave- material- extraction/ (2024), accessed: 2026-03-02

Reference 8

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Observation 0eea7124-7a23-4673-ac29-19b742ad2939 · outbound

This paper cites an unresolved cited work.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 9

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Observation e34c5119-7b26-4e73-bfda-0f8bdef26c97 · outbound

This paper cites IEEE Journal of Microwaves5(2), 356–372 (2025).https: //doi.org/10.1109/JMW.2025.3535077.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing IEEE Journal of Microwaves5(2), 356–372 (2025).https: //doi.org/10.1109/JMW.2025.3535077

Reference 10

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Observation dff213a8-9607-4f75-be58-58f283cbca55 · outbound

This paper cites In: 2024 IEEE International Conference on Big Data (BigData).

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: 2024 IEEE International Conference on Big Data (BigData)

Reference 11

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Observation fc91a823-ed2a-4ef8-9fa5-38b51d22a186 · outbound

This paper cites ACM Trans.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing ACM Trans

Reference 12

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Observation 053cf2fd-5778-464b-9331-86895f8eda95 · outbound

This paper cites In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 13

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Observation efbce349-f3c5-4eaf-ac84-ff058cd1be3f · outbound

This paper cites ACM Trans.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing ACM Trans

Reference 14

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Observation 25b67580-5759-41ce-8e54-6dd57afeeefe · outbound

This paper cites an unresolved cited work.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 15

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Observation a8d77b58-4024-4159-8031-442c21e1b936 · outbound

This paper cites an unresolved cited work.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 16

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Observation 68270b65-d5e6-461f-b7c4-51624e1c7d73 · outbound

This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 17

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Observation c6b5afc4-2905-4584-b027-3c95395e46dc · outbound

This paper cites IEEE Journal of Microwaves1(4), 962–974 (2021).https://doi.org/10.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing IEEE Journal of Microwaves1(4), 962–974 (2021).https://doi.org/10

Reference 18

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Observation c6478d6d-ca50-44df-8a0d-20d8dbe1b338 · outbound

This paper cites In: Proceedings of the 18th Eurographics Conference on Rendering Techniques.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: Proceedings of the 18th Eurographics Conference on Rendering Techniques

Reference 19

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Observation a78bb5ca-4967-4dfe-9356-bc43dc7ecb71 · outbound

This paper cites ACM MobiCom ’23, Association for Computing Machinery, New York, NY, USA (2023).https://doi.org/10.1145/3570361.3613302.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing ACM MobiCom ’23, Association for Computing Machinery, New York, NY, USA (2023).https://doi.org/10.1145/3570361.3613302

Reference 21

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Observation d9cf0475-01a5-4456-a6f8-8124c5c467e5 · outbound

This paper cites In: Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

Reference 22

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Observation c59d7968-a13e-41f8-aa3f-a75762fe7513 · outbound

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 23

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This paper cites IEEE Access3, 1089–1100 (2015).https://doi.org/10.1109/ ACCESS.2015.2453991.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing IEEE Access3, 1089–1100 (2015).https://doi.org/10.1109/ ACCESS.2015.2453991

Reference 24

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Observation f745a264-1b02-4843-ac72-ef532d1208ee · outbound

This paper cites Neural Process.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Neural Process

Reference 25

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Observation 9ef15ceb-5002-481d-abea-ab9f8b861e69 · outbound

This paper cites IEEE Trans- actions on Wireless Communications25, 10419–10433 (2026).https://doi.org/ 10.1109/TWC.2026.3652154 18 W.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing IEEE Trans- actions on Wireless Communications25, 10419–10433 (2026).https://doi.org/ 10.1109/TWC.2026.3652154 18 W

Reference 26

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This paper cites In: 2024 International Conference on Computing, Networking and Communications (ICNC).

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: 2024 International Conference on Computing, Networking and Communications (ICNC)

Reference 27

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This paper cites In: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

Reference 28

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This paper cites In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking.

HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking

Reference 29

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 30

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 31

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 32

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 33

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing HybridSim 25

Reference 34

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 35

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 36

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HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing Unresolved cited work

Reference 37

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Pith citing papers

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