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Paper Citation Record · LEDGER

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC

As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.17655.

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

pith.paper-citation-record.v1
2607.17655 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:26:23.287637Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

16 of 16 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d68d96e-ae4f-404a-9286-78367def684c · outbound

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

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,

Reference 1

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source=pdf_text observed=2026-08-01T17:26:21.180078Z digest=sha256:b52e429284ae0f6407aca3af1e079b1c27a7b314898502a5fd8422e62a2efd0d

Observation c91eb283-dc47-4306-9fad-edeb3f147f83 · outbound

This paper cites Multi-node multi-band cooperative integrated sensing and communications: State-of-the-art, challenges and opportunities,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Multi-node multi-band cooperative integrated sensing and communications: State-of-the-art, challenges and opportunities,

Reference 2

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source=pdf_text observed=2026-08-01T17:26:21.294213Z digest=sha256:70c42b3c3d1e91cc9eeeecbffb8e18e4d55bbf9b09ea79178d21b96e464d4b07

Observation 644632c6-cd10-41e4-b614-483783fb6aeb · outbound

This paper cites Carrier aggregation enabled integrated sensing and communication signal design and processing,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Carrier aggregation enabled integrated sensing and communication signal design and processing,

Reference 3

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source=pdf_text observed=2026-08-01T17:26:21.426904Z digest=sha256:e6062ed39c37a1072f9f97888d771ddc724f925876332f8daa8263a76f5a5d7f

Observation bf19b5da-2685-48c6-9de7-c3cf3dda4890 · outbound

This paper cites Range and velocity estimation in carrier-aggregation OFDM ISAC systems,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Range and velocity estimation in carrier-aggregation OFDM ISAC systems,

Reference 4

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source=pdf_text observed=2026-08-01T17:26:21.494401Z digest=sha256:1b5a626cd217313e26a999403ae961130f854c5ce0f89b91ce1d1b788df9d3cc

Observation f905968c-a653-4e74-b29a-558173eb8510 · outbound

This paper cites Carrier aggregation enabled MIMO-OFDM integrated sensing and communication,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Carrier aggregation enabled MIMO-OFDM integrated sensing and communication,

Reference 5

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source=pdf_text observed=2026-08-01T17:26:21.627096Z digest=sha256:f35f1e15cf8815dc603650c85182e86586687d18307ff366376fbede0574e613

Observation acab0a83-9935-4bb5-ae83-f267630fbe05 · outbound

This paper cites Tensor-based carrier aggregation ISAC for urban low- altitude airspace: clutter suppression,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Tensor-based carrier aggregation ISAC for urban low- altitude airspace: clutter suppression,

Reference 6

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source=pdf_text observed=2026-08-01T17:26:21.822485Z digest=sha256:3956c9283f7a2f2207f4c408e1a035c62fab77b6e75a2204646a869bdbeba07b

Observation dd4239cd-66d9-4fc6-85bc-6813c946fb1e · outbound

This paper cites CSIYOLO: An intelligent CSI-based scatter sensing framework for integrated sensing and communication systems,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC CSIYOLO: An intelligent CSI-based scatter sensing framework for integrated sensing and communication systems,

Reference 7

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source=pdf_text observed=2026-08-01T17:26:21.977969Z digest=sha256:469fbb8bd5812908e32ecaa5b4c6e9aa523f79cf14579fae06b390b7393aea1f

Observation 30d5818e-ee1b-4d13-8de2-a86aca082fa3 · outbound

This paper cites NR; NR and NG-RAN overall description; stage-2,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC NR; NR and NG-RAN overall description; stage-2,

Reference 8

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source=pdf_text observed=2026-08-01T17:26:22.138858Z digest=sha256:99b14a030c408c4a1118abfa3022aa9857f1f9b2126faa8b64e4f4d33c51c9e8

Observation a2313f8c-bc29-4242-91b1-f746e88f0031 · outbound

This paper cites A unified RCS modeling of typical targets for 3GPP ISAC channel standardization and experimental analysis,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC A unified RCS modeling of typical targets for 3GPP ISAC channel standardization and experimental analysis,

Reference 9

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source=pdf_text observed=2026-08-01T17:26:22.289223Z digest=sha256:a03cd264eb2d678d1e12ed52bf9d894039918c554b43ce9d69e50edd1827f1bc

Observation ab6a4960-42a0-4fb5-ac2f-4a12112d3600 · outbound

This paper cites Attention is all you need,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Attention is all you need,

Reference 10

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source=pdf_text observed=2026-08-01T17:26:22.422332Z digest=sha256:9a155ed170363502df8c96ea41dd1926a3f2b3ad824e1d3fc06e567b98039c80

Observation 1277c7f8-259c-4332-9cb3-03115d1560fd · outbound

This paper cites End-to-end object detection with Transformers,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC End-to-end object detection with Transformers,

Reference 11

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source=pdf_text observed=2026-08-01T17:26:22.598485Z digest=sha256:bedb0590b8f13906495763bf12e8425572836730b37e4acac75747c855051f0b

Observation 53906870-b7a8-4cad-aa4b-c05a77bb8aaa · outbound

This paper cites Fast R-CNN,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Fast R-CNN,

Reference 12

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source=pdf_text observed=2026-08-01T17:26:22.727419Z digest=sha256:6eb19ee65bd5d9ecdb3585fb869f7b38acf032ee0448b84f2aea9f9fb6ce292b

Observation 3742279b-47c0-42e1-903a-6284d819d551 · outbound

This paper cites Sionna RT: Differentiable ray tracing for radio propagation modeling,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Sionna RT: Differentiable ray tracing for radio propagation modeling,

Reference 13

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source=pdf_text observed=2026-08-01T17:26:22.848060Z digest=sha256:f99287337f4be7914c433d5a7832e341df16f8587c6c83ffe576c62201e60dac

Observation 386f6f74-347d-4012-92bb-7350a7d9f56b · outbound

This paper cites Research on target detection al- gorithm for complex traffic scenes based on ADVI-CFAR,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC Research on target detection al- gorithm for complex traffic scenes based on ADVI-CFAR,

Reference 14

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source=pdf_text observed=2026-08-01T17:26:23.025915Z digest=sha256:d19699224c835e3122adb640a6c455a89eb75c11a6a42176a19041d475c19cb2

Observation 99754599-c709-4f69-8f8c-9a9618ddc9df · outbound

This paper cites CFARNet: Learning-based high-resolution multi-target detection for rainbow beam radar,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC CFARNet: Learning-based high-resolution multi-target detection for rainbow beam radar,

Reference 15

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source=pdf_text observed=2026-08-01T17:26:23.193736Z digest=sha256:0ccd0eba4577e789143846038f4b2191a7008c3334175857eabb4135a68d0aa7

Observation 74a28f92-8562-4cd7-95b7-ca13f8a286af · outbound

This paper cites DNN-based methods of jointly sensing number and directions of targets via a green massive H 2AD MIMO receiver,.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC DNN-based methods of jointly sensing number and directions of targets via a green massive H 2AD MIMO receiver,

Reference 16

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source=pdf_text observed=2026-08-01T17:26:23.287637Z digest=sha256:40bcbbd6f3039525eed0d493c01a66ce87badc7b529446046081cbc8d07429a7

Pith citing papers

No inbound Pith citation observations are available.