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Paper Citation Record · LEDGER

Bayesian Sensing for Time-Varying Channels in ISAC Systems

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.15042.

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

pith.paper-citation-record.v1
2504.15042 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:21.600128Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f73eb578-0487-4999-bf77-f9b03361294a · outbound

This paper cites Joint communications and sensing employing optimized MIM O-OFDM signals,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Joint communications and sensing employing optimized MIM O-OFDM signals,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 86c8e604-992c-4180-aae3-071e29428897 · outbound

This paper cites Joint MIMO communications and sensing with hybrid beamfor ming architecture and OFDM waveform optimization,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Joint MIMO communications and sensing with hybrid beamfor ming architecture and OFDM waveform optimization,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.417496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1e520bf3-f36a-4d44-8468-34ce11101cf8 · outbound

This paper cites Code-divi sion OFDM joint communication and sensing system for 6G machine- type communication,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Code-divi sion OFDM joint communication and sensing system for 6G machine- type communication,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.398900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 68ad2170-3bfe-4bf2-9d75-4c2adeb3c1d8 · outbound

This paper cites Joint radar and communication design: Applications, state-of-t he-art, and the road ahead,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Joint radar and communication design: Applications, state-of-t he-art, and the road ahead,

Reference 4

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no resolver link, observed 2026-08-16T11:40:21.354286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:21.354286Z digest=sha256:c67efcffdaa4f726bcff9a257eea6d9843a23fa322d18dab06cfb2835d29b3ae

Observation cfb5655c-3123-4b98-8fea-f01828d437f5 · outbound

This paper cites An overview of signal processing techniques for joint communication and radar sensing,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems An overview of signal processing techniques for joint communication and radar sensing,

Reference 5

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unresolved
no resolver link, observed 2026-08-16T11:40:21.360439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:21.360439Z digest=sha256:458038a20f38f1e2d3f2a4412fabef7ca2fd62c05d1b7453474cf7ba03f9d6d7

Observation 68cb80d7-3838-4878-b93a-eefd481ee279 · outbound

This paper cites To ward multi- functional 6G wireless networks: Integrating sensing, com munication, and security,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems To ward multi- functional 6G wireless networks: Integrating sensing, com munication, and security,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.348228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 21f98105-3e7c-4e0c-95b5-97771d9e45c2 · outbound

This paper cites Integrated sensing and com munication for symbiotic radio with multiple IoT devices,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Integrated sensing and com munication for symbiotic radio with multiple IoT devices,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.329490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.370207Z digest=sha256:86b5074f4360737fde9c37a225ab4fbf3ec6680c961cfe2c3217a74e9d82ebeb

Observation 9ffe5e1a-00df-483f-bc70-745fff500954 · outbound

This paper cites Two- stage multiband Wi-Fi sensing for ISAC via stochastic parti cle-based variational bayesian inference,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Two- stage multiband Wi-Fi sensing for ISAC via stochastic parti cle-based variational bayesian inference,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.313587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.373951Z digest=sha256:5979aa455e58c4d62226cb63b4c1fb14548c3625f48a1ed230eeff2900db8080

Observation 46e06e66-583b-466c-a60e-6b85cbf4e2b4 · outbound

This paper cites Bayesian learning for double-RIS ai ded ISAC systems with superimposed pilots and data,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Bayesian learning for double-RIS ai ded ISAC systems with superimposed pilots and data,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.299763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bab8dc01-1268-4841-a5be-8dfa82d33ce9 · outbound

This paper cites Joint sparse bayesian learning for ch annel esti- mation in ISAC,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Joint sparse bayesian learning for ch annel esti- mation in ISAC,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.282772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2b127076-73ad-49cf-83f3-526105cb9cfd · outbound

This paper cites Enabling joint communication and radar sensing in mobile networks—a survey,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Enabling joint communication and radar sensing in mobile networks—a survey,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.263485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.396201Z digest=sha256:05ffde1541e4658e8eb83bdf688b2c7702b4c3bafa6bc0bd54281a55009b9e2b

Observation 6868be8a-5809-4678-8640-5e74154da1f3 · outbound

This paper cites Bounding performance and su ppressing intercarrier interference in wireless mobile OFDM,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Bounding performance and su ppressing intercarrier interference in wireless mobile OFDM,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.249094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a4030e37-f130-4763-a56f-4761d4957eda · outbound

This paper cites an unresolved cited work.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Unresolved cited work

Reference 13

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 58e74922-c699-493f-8c1a-b48e72665510 · outbound

This paper cites Transmission tec hniques for digital terrestrial TV broadcasting,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Transmission tec hniques for digital terrestrial TV broadcasting,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.206255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7299ddc5-b0a7-43fd-aadc-8ebea5999fe4 · outbound

This paper cites Spa rse prior-guided deep learning for OTFS channel estimation,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Spa rse prior-guided deep learning for OTFS channel estimation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.188602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a1527080-07a2-4b3b-aacf-f5d2f34f55e9 · outbound

This paper cites OTFS: A New Generation of Modulation Addressing the Challenges of 5G.

Bayesian Sensing for Time-Varying Channels in ISAC Systems OTFS: A New Generation of Modulation Addressing the Challenges of 5G

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T11:40:21.424616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:21.424616Z digest=sha256:ece0c496b6e90c25ea72f0470fa5653cd9836f518169bd03067a1d68fecaf044

Observation 2f1327fc-bc81-40c3-9420-80829763514a · outbound

This paper cites Orthogonal time frequency spa ce modu- lation,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Orthogonal time frequency spa ce modu- lation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.173370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.432218Z digest=sha256:ef26b3be423a5677753b9cf7fd7a0350bb95d05a4bb9a369a1af466a6dae9224

Observation bd1d4113-e637-4105-8981-8869fcddd762 · outbound

This paper cites Orthogonal time-frequency space modulation: A p romising next-generation waveform,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Orthogonal time-frequency space modulation: A p romising next-generation waveform,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.156954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.437161Z digest=sha256:39c1ebb9fb5970882cffb1564cd5a95f6c036b2e7c512d9a15bb60190aa38e26

Observation 68509249-5812-418d-8f35-08119ae60b96 · outbound

This paper cites Orthogo nal time frequency space modulation—part III: ISAC and potential ap plications,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Orthogo nal time frequency space modulation—part III: ISAC and potential ap plications,

Reference 19

Resolution
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raw_fallback, observed 2026-08-16T11:40:22.139526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.442633Z digest=sha256:a8f164df183566e76f37f9c3087edd1471e7c415c781db30b536c300d9cdd8e4

Observation f92099ec-d996-42bd-abf6-a155978f25a5 · outbound

This paper cites Integrate d sensing and communication-assisted orthogonal time frequency spa ce transmis- sion for vehicular networks,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Integrate d sensing and communication-assisted orthogonal time frequency spa ce transmis- sion for vehicular networks,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.113885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.449376Z digest=sha256:274bf1ae8c78d919d45ca5fb864921238a71cfc58728111c28d58b284b2df5e1

Observation 4066f72c-11fc-45e8-8306-1edd1683a266 · outbound

This paper cites Robust N OMA- assisted OTFS-ISAC network design with 3-D motion predicti on topol- ogy,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Robust N OMA- assisted OTFS-ISAC network design with 3-D motion predicti on topol- ogy,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.099970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.454315Z digest=sha256:c3a207e8c3ad987aaabab41b971176971b5ec6039ef5e6c5af0ad162f3d57788

Observation 312c5f56-f211-454b-9236-1d6ec8fc2e0e · outbound

This paper cites Sensing aided uplink transmission in OTFS ISAC with joint p arameter association, channel estimation and signal detection,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Sensing aided uplink transmission in OTFS ISAC with joint p arameter association, channel estimation and signal detection,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.084734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.460739Z digest=sha256:9ca8e38700b3e7f9a42465b9872d1be6f5bc045723c64bd4072da016c2920b63

Observation 38f38f26-62df-468b-9651-20c28e04f3e0 · outbound

This paper cites Off-grid c hannel estimation with sparse Bayesian learning for OTFS systems,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Off-grid c hannel estimation with sparse Bayesian learning for OTFS systems,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:40:21.466030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:21.466030Z digest=sha256:b32ad4b023cadd9080d580bd41bb0c2a3c487cfeee1754977d09a94b307eccd2

Observation 3a37392e-e558-4936-82c9-abef1579a5be · outbound

This paper cites Off-grid channel estimation using grid evolution for OTFS systems,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Off-grid channel estimation using grid evolution for OTFS systems,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.056141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.472453Z digest=sha256:396948ae933b871a7504cba9847bec353f6523bcd596d30929f0eb352c6c4487

Observation a4c29371-0a3f-4478-8eb0-a8da9b534fd8 · outbound

This paper cites A novel ISAC transmission framework based on spatially-spre ad orthog- onal time frequency space modulation,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems A novel ISAC transmission framework based on spatially-spre ad orthog- onal time frequency space modulation,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.040378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.480781Z digest=sha256:32d2edb2407025f0c1887d2f7b30ab63e9adf4b39b28f81fa59c7845c383ee43

Observation 6b3163df-ec04-4c69-8fa8-62f932210d2f · outbound

This paper cites DFT-spread orthogonal time f requency space system with superimposed pilots for terahertz integr ated sensing and communication,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems DFT-spread orthogonal time f requency space system with superimposed pilots for terahertz integr ated sensing and communication,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.025379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.486443Z digest=sha256:f931e58d397c47865cb400c60b38bfebcf21e9e51a0ea28a8c23f3e40b978cb1

Observation f381d146-eba4-4ebb-b51d-0f5bdf8f8152 · outbound

This paper cites OTFS-based jo int communication and sensing for future industrial IoT,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems OTFS-based jo int communication and sensing for future industrial IoT,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:22.010213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.492321Z digest=sha256:ae6303de266fe896719eb971c6c4d443287f6ca9ca53d78c723f69c425123205

Observation ab3112c5-d1b6-4845-914e-23c0f8e7e9eb · outbound

This paper cites Integrated sensing and communicat ion-assisted user state refinement for OTFS systems,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Integrated sensing and communicat ion-assisted user state refinement for OTFS systems,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.994499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.497529Z digest=sha256:5faa808af901e3a6d6f70f58dc9107207a1794ee19a95f69fb2e5354051aa0b5

Observation 3860286b-4b6a-4f5a-a1c7-c428b2a56155 · outbound

This paper cites Adaptive transmiss ion with frequency-domain precoding and linear equalization over f ast fading channels,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Adaptive transmiss ion with frequency-domain precoding and linear equalization over f ast fading channels,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T11:40:21.502679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:21.502679Z digest=sha256:5d6a5ec23013432ffcc178afe6fae7ba6b245dce43f45a9e05aee0ae0c322314

Observation e9a9214b-0e0e-4026-9305-33ffd0b33af8 · outbound

This paper cites Low-overhead OTFS transmission with frequency or time domain channel estimation,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Low-overhead OTFS transmission with frequency or time domain channel estimation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.966797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.511890Z digest=sha256:349ccdd20830c7a0c93a3d73ecbd2f451b51485af32ec14df17cba0249850aff

Observation b435075d-a6f4-4950-8ed5-2db8fd937cd5 · outbound

This paper cites Frequency-doma in sensing in time-varying channels,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Frequency-doma in sensing in time-varying channels,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.948973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 43d8d749-48ca-44dc-a723-53dda3093ae4 · outbound

This paper cites Sparse Bayesian learning for ba sis selection,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Sparse Bayesian learning for ba sis selection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.927437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.522784Z digest=sha256:1a237d7e29bb77555d9cbdf857a081c6963b8e40e36a28f46e32c9ff00508e2e

Observation d00a8450-a147-424a-9d88-52a0f4a6509e · outbound

This paper cites Sparse Bayesian learning and the releva nce vector machine,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Sparse Bayesian learning and the releva nce vector machine,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.905385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.528565Z digest=sha256:251fde8216d2794e1ec497d3d92c04b21d3e673e18cc2700981ffeee1cdd15af

Observation 92a1c7e1-4608-479d-a741-54e624646cb4 · outbound

This paper cites A tutorial on variational Ba yesian inference,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems A tutorial on variational Ba yesian inference,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c1bde04b-549d-44fa-b202-bbe18d6f372d · outbound

This paper cites Error rate analys is of cogni- tive radio transmissions with imperfect channel sensing,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Error rate analys is of cogni- tive radio transmissions with imperfect channel sensing,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.872890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 106265ee-bbfe-4c25-a7db-7e1e77ac6458 · outbound

This paper cites Sbl-based glrt for spe ctrum sensing in ofdma-based cognitive radio networks,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Sbl-based glrt for spe ctrum sensing in ofdma-based cognitive radio networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.856652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 181e130b-0479-49da-97ac-1f7a8683e3c9 · outbound

This paper cites Joint Baye sian channel estimation and data detection for OTFS systems in LE O satellite communications,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Joint Baye sian channel estimation and data detection for OTFS systems in LE O satellite communications,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:40:21.550256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:21.550256Z digest=sha256:ee0c98a74cbeff12da38415e66505070c4a9abcdd06a86b558b922941aafdbc0

Observation 14bfb100-cd95-4748-b0e0-0aeeabaf5498 · outbound

This paper cites The vari ational approximation for Bayesian inference,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems The vari ational approximation for Bayesian inference,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4a170658-5da3-4be9-9581-0eb435ff5e3e · outbound

This paper cites Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced- dimension MUSIC,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced- dimension MUSIC,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.807438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.559624Z digest=sha256:484e393cedc8d2945432cdad14e186cb3e8fb24ad613ab7a795f3a16d1fcda4a

Observation 9a67a72c-1778-4278-b8a6-0a92fabeb0d3 · outbound

This paper cites Low-complexity DOA estimat ion based on compressed MUSIC and its performance analysis,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Low-complexity DOA estimat ion based on compressed MUSIC and its performance analysis,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.789977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a90085af-e5d9-42f0-9219-9a630dbc2258 · outbound

This paper cites Performance ana lysis of an improved MUSIC DoA estimator,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Performance ana lysis of an improved MUSIC DoA estimator,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.774199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b39b338c-9e0b-43c1-80cb-91d68d413598 · outbound

This paper cites Multiple signal classification based joint communication and sensing system,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Multiple signal classification based joint communication and sensing system,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.757778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 49397309-0420-48a6-8183-b1c385529bb6 · outbound

This paper cites an unresolved cited work.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:40:21.739959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2fc30b63-6b89-45af-a280-3f79dec840ac · outbound

This paper cites Radar sensing via OTFS signaling: A delay Doppler signal processi ng perspec- tive,.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Radar sensing via OTFS signaling: A delay Doppler signal processi ng perspec- tive,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.722339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:40:21.587795Z digest=sha256:ccc4a3a9d9ee2b6b30b9380d148b721f8c524d82143a2395a1b9eff5db21fbe0

Observation 7c928695-f951-4e92-bd20-55790626bef4 · outbound

This paper cites an unresolved cited work.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:40:21.702517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 048e3547-16ce-434b-aa55-57e09db77e78 · outbound

This paper cites Tang, DOA Estimation Based on MUSIC Algorithm , Accessed: Nov.

Bayesian Sensing for Time-Varying Channels in ISAC Systems Tang, DOA Estimation Based on MUSIC Algorithm , Accessed: Nov

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:40:21.677890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.