Paper Citation Record · LEDGER

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design

As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2504.21409.

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

pith.paper-citation-record.v1
2504.21409 v1

Coverage vector

measured 41 of 41 reference resolution

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One-hop event checks from named stored sources.

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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

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation bd59086f-ee56-4370-b31c-7be79f55c71e · outbound

This paper cites Integrated sensing and communications: Toward dual-func tional wire- less networks for 6G and beyond,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Integrated sensing and communications: Toward dual-func tional wire- less networks for 6G and beyond,

Reference 1

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Observation f8cdd832-84e8-4b5e-9825-1d2d0854a372 · outbound

This paper cites To- ward dual-functional radar-communication systems: Optim al waveform design,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design To- ward dual-functional radar-communication systems: Optim al waveform design,

Reference 2

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Observation b31999d4-b9c8-481c-a783-4af81cfd42fa · outbound

This paper cites Joint waveform and di screte phase shift design for RIS-assisted integrated sensing and communi- cation system under cramer-rao bound constraint,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Joint waveform and di screte phase shift design for RIS-assisted integrated sensing and communi- cation system under cramer-rao bound constraint,

Reference 3

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Observation d407e9d2-1e76-47e2-85fe-b22d4797f49c · outbound

This paper cites Joint transmit beamforming for multiuser MIMO communications an d MIMO radar,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Joint transmit beamforming for multiuser MIMO communications an d MIMO radar,

Reference 4

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Observation 9dae7c79-ddaf-41f8-aa51-784b9f0805a7 · outbound

This paper cites Bidirectional integrated sen sing and communication: Full-duplex or half-duplex?.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Bidirectional integrated sen sing and communication: Full-duplex or half-duplex?

Reference 5

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Observation c777d20e-7843-4b7e-8c00-c4f0c0eda804 · outbound

This paper cites Optimal beamformin g for MIMO DFRC systems with transmit covariance constraints,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Optimal beamformin g for MIMO DFRC systems with transmit covariance constraints,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:31.029419Z

Source-reported events for the cited work

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Observation 2e471b2f-181f-4802-aec3-500ed9a8ef93 · outbound

This paper cites NOMA for integrating sensing a nd communications toward 6G: A multiple access perspective,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design NOMA for integrating sensing a nd communications toward 6G: A multiple access perspective,

Reference 7

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Observation bf2019a9-efdb-480b-90d8-4eb12a012b09 · outbound

This paper cites Next- generation multiple access for integrated sensing and comm unications,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Next- generation multiple access for integrated sensing and comm unications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:31.005140Z

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Observation 9939284e-8f62-4faa-83ed-f6f6aaf83370 · outbound

This paper cites Dynamic power allocation for integrate d sensing and communication-enabled vehicular networks,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Dynamic power allocation for integrate d sensing and communication-enabled vehicular networks,

Reference 9

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Source-reported events for the cited work

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Observation a4a7229b-31f9-4c75-b267-45bb1ddc8677 · outbound

This paper cites Resource allocation for integrated sensing and communication in digital twin en abled internet of vehicles,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Resource allocation for integrated sensing and communication in digital twin en abled internet of vehicles,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.984129Z

Source-reported events for the cited work

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Observation 3904b0f8-51c0-4aa7-8e3a-9ad5b3fb1672 · outbound

This paper cites User association and resource allocation for MEC-enabled IoT networks,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design User association and resource allocation for MEC-enabled IoT networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.972047Z

Source-reported events for the cited work

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Observation 745ea7b9-0a56-4580-b189-cc7bc6f23508 · outbound

This paper cites Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towar ds 6G,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towar ds 6G,

Reference 12

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Observation 164ca862-f966-4ae4-9a9b-b8cdb5ebbd7f · outbound

This paper cites Integr ated sensing- communication-computation for edge artiﬁcial intelligen ce,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Integr ated sensing- communication-computation for edge artiﬁcial intelligen ce,

Reference 13

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Source-reported events for the cited work

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Observation abb19d49-0b6e-4990-a097-848a7824c5ef · outbound

This paper cites Semantic-aware vision-assisted integrated sensing and c ommunication: Architecture and resource allocation,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Semantic-aware vision-assisted integrated sensing and c ommunication: Architecture and resource allocation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.940177Z

Source-reported events for the cited work

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Observation c0b765fa-1e78-4bf8-a12b-a3a17b554cc1 · outbound

This paper cites A survey on integrated sensing, communication, a nd com- putation,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design A survey on integrated sensing, communication, a nd com- putation,

Reference 15

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Observation 82cde955-200c-44a9-aa04-3ba02a6ccc1e · outbound

This paper cites Joint MIMO precoding and computation resource allocation for dual-function radar and communication syst ems with mobile edge computing,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Joint MIMO precoding and computation resource allocation for dual-function radar and communication syst ems with mobile edge computing,

Reference 16

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Observation 707a77bd-0d42-4452-9be0-81c54585cfc2 · outbound

This paper cites Joint ofﬂoading and beamforming design in in- tegrating sensing, communication, and computing systems: A dis- tributed approach,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Joint ofﬂoading and beamforming design in in- tegrating sensing, communication, and computing systems: A dis- tributed approach,

Reference 17

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Observation 5c272ecf-cb99-4aa9-b700-b676d347bc60 · outbound

This paper cites Joint beamform- ing and ofﬂoading design for integrated sensing, communica tion, and computation system,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Joint beamform- ing and ofﬂoading design for integrated sensing, communica tion, and computation system,

Reference 18

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Observation c7d13c71-8a73-457a-95ee-2c3755f493f2 · outbound

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Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Mo- bile edge computing aided integrated sensing and communica tion with short-packet transmissions,

Reference 19

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Source-reported events for the cited work

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Observation 80c11ea4-8be1-430b-95a6-ab22ff0a0adf · outbound

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Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Over-the-air integ rated sens- ing, communication, and computation in IoT networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.914752Z

Source-reported events for the cited work

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Observation 99f80f09-4def-44c9-8a34-7823f8b4b7cf · outbound

This paper cites In- tegrated sensing, communication, and computation over-th e-air: MIMO beamforming design,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design In- tegrated sensing, communication, and computation over-th e-air: MIMO beamforming design,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b0f979a-8b64-4fed-8fcf-d74d4e192ef6 · outbound

This paper cites Integrated sensing, c ommunication, and computation over the air: Beampattern design for wirele ss sensor networks,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Integrated sensing, c ommunication, and computation over the air: Beampattern design for wirele ss sensor networks,

Reference 22

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Observation 08733f0d-c373-4ef6-9416-9fbfceaec177 · outbound

This paper cites NOMA-aided jo int communication, sensing, and multi-tier computing systems ,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design NOMA-aided jo int communication, sensing, and multi-tier computing systems ,

Reference 23

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Observation b29b7f65-417d-4f80-9233-5269a98c2bc9 · outbound

This paper cites Integrated sensing and two-tier task ofﬂoading via non-or thogonal multiple access: An energy-minimization design,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Integrated sensing and two-tier task ofﬂoading via non-or thogonal multiple access: An energy-minimization design,

Reference 24

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Observation b33855bc-e896-42b9-8072-1408d153dc8a · outbound

This paper cites Neurosurgeon: Collaborative intelligence betwe en the cloud and mobile edge,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Neurosurgeon: Collaborative intelligence betwe en the cloud and mobile edge,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.861232Z

Source-reported events for the cited work

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Observation 01afa403-bdda-4855-b052-ff540e6d2693 · outbound

This paper cites Split com puting and early exiting for deep learning applications: Survey and researc h challenges,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Split com puting and early exiting for deep learning applications: Survey and researc h challenges,

Reference 26

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Source-reported events for the cited work

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Observation f26c22aa-fac4-4f8b-9894-0f82a15909a8 · outbound

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Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Wireless channel adaptive D NN split inference for resource-constrained edge devices,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.837265Z

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Observation 2fbcdf5a-df02-422c-9966-2239979d7cf3 · outbound

This paper cites Optimal AI model splitting and resource allocation for device-edge co-inference in multi-user wireless sensing s ystems,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Optimal AI model splitting and resource allocation for device-edge co-inference in multi-user wireless sensing s ystems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.826717Z

Source-reported events for the cited work

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Observation a368e65b-8c40-476a-8cf4-c2959360e271 · outbound

This paper cites Task- oriented sensing, computation, and communication integra tion for multi- device edge AI,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Task- oriented sensing, computation, and communication integra tion for multi- device edge AI,

Reference 29

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Source-reported events for the cited work

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Observation 737a0ce5-c9b9-47f4-b3ce-80aaaaa7fea8 · outbound

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Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Task -oriented over-the-air computation for multi-device edge AI,

Reference 30

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Observation 57d6186c-a075-493b-b1c5-dc41a1a4ded0 · outbound

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Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design In tegrated sensing-communication-computation for over-the-air edge AI inference,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.803452Z

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Observation 8d0270e4-0cb5-43c9-9ff9-55aeef456258 · outbound

This paper cites Integrated sensing, comm unication, and computation with adaptive DNN splitting in multi-UA V ne tworks,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Integrated sensing, comm unication, and computation with adaptive DNN splitting in multi-UA V ne tworks,

Reference 32

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a05b85ea-ac17-4969-b2f2-84f7476e1357 · outbound

This paper cites Wire less sens- ing with deep spectrogram network and primitive based autor egressive hybrid channel model,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Wire less sens- ing with deep spectrogram network and primitive based autor egressive hybrid channel model,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.780766Z

Source-reported events for the cited work

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Observation 0591aff7-c9f7-4503-9e84-1743a8ff9d92 · outbound

This paper cites On probing signal design fo r MIMO radar,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design On probing signal design fo r MIMO radar,

Reference 34

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Observation c05cbb8c-3d0b-45f0-8594-df6b94b9190e · outbound

This paper cites Boyd and L.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Boyd and L

Reference 35

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This paper cites Majorization-minim ization algo- rithms in signal processing, communications, and machine l earning,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Majorization-minim ization algo- rithms in signal processing, communications, and machine l earning,

Reference 36

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Observation e8a72fb9-f246-4856-93a9-2c791574ed6e · outbound

This paper cites An iterativ ely weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design An iterativ ely weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.749557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fd5c5b2-0067-40d3-88b9-b1fa05fba6fc · outbound

This paper cites Optimization algorithms exploiting unita ry constraints,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Optimization algorithms exploiting unita ry constraints,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T05:11:30.485058Z

Source-reported events for the cited work

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Observation 01ed2f25-d6ba-4a0d-9f2b-d7d16c52b025 · outbound

This paper cites A novel cross entropy approach for ofﬂoading learning in mobile edge comp uting,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design A novel cross entropy approach for ofﬂoading learning in mobile edge comp uting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.731891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4bfa50f1-7109-4a1a-a878-7e5f17c35805 · outbound

This paper cites Classiﬁcation of automotive ta rgets using inverse synthetic aperture radar images,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Classiﬁcation of automotive ta rgets using inverse synthetic aperture radar images,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.720186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 285daf17-8453-4d38-9413-19aaf9b5aa0c · outbound

This paper cites Tran sfer learning with convolutional neural networks for moving target class iﬁcation with micro-doppler radar spectrograms,.

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design Tran sfer learning with convolutional neural networks for moving target class iﬁcation with micro-doppler radar spectrograms,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:11:30.709029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.