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Paper Citation Record · LEDGER

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2511.09150.

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

pith.paper-citation-record.v1
2511.09150 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:46:24.382018Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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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Reference resolution

31 of 31 outbound references displayed

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Outbound references

Observation 88459783-15d1-4aff-818f-4ec9e15193c7 · outbound

This paper cites On the road to 6G: Visions, requirements, key technologies, and testbeds,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction On the road to 6G: Visions, requirements, key technologies, and testbeds,

Reference 1

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source=pdf_text observed=2026-08-03T22:46:24.273337Z digest=sha256:83d66c64032397abe0517ac80d885be94b30f34210c65177b07d34fbabbe9993

Observation 489f6c6f-b3cc-4c85-bdb4-5f484cbac7f9 · outbound

This paper cites A survey of beam management for mmWave and THz communications towards 6G,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction A survey of beam management for mmWave and THz communications towards 6G,

Reference 2

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Observation 65db0f10-d22f-4e21-9115-7c76eff0ccfb · outbound

This paper cites 6G com- munication new paradigm: The integration of unmanned aerial vehicles and intelligent reflecting surfaces,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction 6G com- munication new paradigm: The integration of unmanned aerial vehicles and intelligent reflecting surfaces,

Reference 3

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Observation e4db089b-8be7-4920-a396-3b79c027fd90 · outbound

This paper cites A cluster-based statistical channel model for integrated sensing and communication channels,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction A cluster-based statistical channel model for integrated sensing and communication channels,

Reference 4

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source=pdf_text observed=2026-08-03T22:46:24.285563Z digest=sha256:5fed3d953e88eec36e87a40d10746a34e3d5a6a05626e80348bce7c2a685abfb

Observation ddc6ab8c-2740-4d86-b287-b73464a3a412 · outbound

This paper cites Deterministic ray tracing: A promising approach to THz channel modeling in 6G deployment scenarios,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Deterministic ray tracing: A promising approach to THz channel modeling in 6G deployment scenarios,

Reference 5

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source=pdf_text observed=2026-08-03T22:46:24.289568Z digest=sha256:50c161b626fc971f0b4eba444b3bcdfd9197ecf97f0a998a5707834cf8972b2c

Observation 392b144d-0fe7-41a2-9b7a-b040983f78c9 · outbound

This paper cites A new sensing channel modeling approach based on ray tracing and stochastic methods for vehicle-to-everything applications,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction A new sensing channel modeling approach based on ray tracing and stochastic methods for vehicle-to-everything applications,

Reference 6

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source=pdf_text observed=2026-08-03T22:46:24.293429Z digest=sha256:f0f3a321f6b0a929fc19dc9c0822d1a75ce0093be56aec7d984e31a115f6d393

Observation 8f83bc00-ca33-4142-8b40-094376728fbf · outbound

This paper cites Hybrid channel model for low terahertz links in a data center,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Hybrid channel model for low terahertz links in a data center,

Reference 7

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source=pdf_text observed=2026-08-03T22:46:24.297526Z digest=sha256:c8d40626ef184746fb4e9141038b5e791ddd8bdbadcf4743bd88c8719b054900

Observation cf0b3629-f480-42cd-8b10-c4aaf279504a · outbound

This paper cites RadioUNet: Fast radio map estimation with convolutional neural networks,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction RadioUNet: Fast radio map estimation with convolutional neural networks,

Reference 8

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source=pdf_text observed=2026-08-03T22:46:24.301163Z digest=sha256:20b4c1b5e4e7e7d336c4670ccef7af699f886b0a11cee7936c23046516750bb4

Observation 93013fa0-4832-42d8-8efe-3eab952643f5 · outbound

This paper cites Machine learning-based urban canyon path loss prediction using 28 ghz manhattan measurements,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Machine learning-based urban canyon path loss prediction using 28 ghz manhattan measurements,

Reference 9

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source=pdf_text observed=2026-08-03T22:46:24.304749Z digest=sha256:34f41384a2107e1f1cd416b119b33f24be4f0d97624ef5889cb046d5b7b7ac02

Observation 1824311f-fbf4-4a0e-8081-589d248512a7 · outbound

This paper cites Radio map estimation: A data-driven approach to spectrum cartography,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Radio map estimation: A data-driven approach to spectrum cartography,

Reference 10

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Observation 2ba90126-cd09-4455-aad9-fad0c90e90c4 · outbound

This paper cites How much data is needed for channel knowledge map construction?.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction How much data is needed for channel knowledge map construction?

Reference 11

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source=pdf_text observed=2026-08-03T22:46:24.311662Z digest=sha256:0dd6c98869c58dcd7c530d3c450aa0eca3cbf3658669d334779db64dac727e46

Observation bee49f68-2a4f-45fe-88b1-b8e55de04c9d · outbound

This paper cites A gan-gru based space-time predictive channel model for 6g wireless communications,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction A gan-gru based space-time predictive channel model for 6g wireless communications,

Reference 12

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source=pdf_text observed=2026-08-03T22:46:24.315103Z digest=sha256:57ec28daa48f89fe1e1eba1f4188953c625550c08346456cf939c5712b8c14cc

Observation 62912032-a326-40f4-96c8-bb5c1b72c552 · outbound

This paper cites WiNeRT: Towards neural ray tracing for wireless channel modelling and differentiable simulations,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction WiNeRT: Towards neural ray tracing for wireless channel modelling and differentiable simulations,

Reference 13

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source=pdf_text observed=2026-08-03T22:46:24.318905Z digest=sha256:7da3400b5813d0ad44a6c9f95af2842a11381aad89942e692cf78c11ac791039

Observation 8b548deb-9158-4b8f-8728-590d84ea890f · outbound

This paper cites Generalizable neural ray tracing towards physics-informed intelligent channel modeling,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Generalizable neural ray tracing towards physics-informed intelligent channel modeling,

Reference 14

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source=pdf_text observed=2026-08-03T22:46:24.322219Z digest=sha256:caf83a9af133aaea12891de3898d9bcc49ef5fd9489e28846d594b1a7e876c1f

Observation d80ee2a9-ec66-4b03-b148-9121ece1302c · outbound

This paper cites SANDWICH: Towards an offline, differentiable, fully-trainable wire- less neural ray-tracing surrogate,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction SANDWICH: Towards an offline, differentiable, fully-trainable wire- less neural ray-tracing surrogate,

Reference 15

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source=pdf_text observed=2026-08-03T22:46:24.325665Z digest=sha256:f98d58ab6a7ef4b2f4e72c545d1ff660c23536dd135d584e0afb9fb4ba320b70

Observation c04b4975-82a2-46d9-9935-60a73c8a3611 · outbound

This paper cites Learnable wireless digital twins: Reconstructing electromagnetic field with neural representations,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Learnable wireless digital twins: Reconstructing electromagnetic field with neural representations,

Reference 16

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source=pdf_text observed=2026-08-03T22:46:24.329103Z digest=sha256:d0ff3709d7e6db9831b84aab9661d1b40ede2be0104c9fd3030cc187422d0bdd

Observation 74f57b7c-74ec-4886-a9bf-87b82b74af36 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 17

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source=pdf_text observed=2026-08-03T22:46:24.332396Z digest=sha256:5dec926e99479f7b8fb0a61246811bb3c2b00c4b0c5da1aa9dfa2d94145fb2f0

Observation 969334f3-d2fc-49ae-98e4-895a682d9f0a · outbound

This paper cites NeRF2: Neural radio-frequency radiance fields,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction NeRF2: Neural radio-frequency radiance fields,

Reference 18

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source=pdf_text observed=2026-08-03T22:46:24.335661Z digest=sha256:a5ec521c15524f69fc5655e7c4a756366f12e9e6937a4f13d8cbd4deb8af1ece

Observation 00df94d7-9ba5-4903-bc4f-ebefd9fcb457 · outbound

This paper cites NeRA: Neural reflectance and atten- uation fields for radio map reconstruction,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction NeRA: Neural reflectance and atten- uation fields for radio map reconstruction,

Reference 19

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source=pdf_text observed=2026-08-03T22:46:24.338954Z digest=sha256:8ad098c5174768e2c41a4323c5f0c87bc4b12d78f079b9f32defdcfc97e25339

Observation d1fa0960-b05d-47a7-a7cc-8d94add3688c · outbound

This paper cites V oxelRF: V oxelized radiance field for fast wireless channel modeling,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction V oxelRF: V oxelized radiance field for fast wireless channel modeling,

Reference 20

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source=pdf_text observed=2026-08-03T22:46:24.342243Z digest=sha256:bba35e6ec335a91ba9e95c15cc12fa1c5c3de3cf948ab8cad2930ffeb3208688

Observation 4a769218-42f5-432f-a90c-a6e0567e0c29 · outbound

This paper cites WRF-GS: Wireless radiation field reconstruction with 3D Gaussian splatting,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction WRF-GS: Wireless radiation field reconstruction with 3D Gaussian splatting,

Reference 21

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source=pdf_text observed=2026-08-03T22:46:24.346034Z digest=sha256:f232f1f092e4db1a044afd50bb60c48dfb733dd74d238efae1661cde9ce76db0

Observation 66755c05-abc5-4fbd-8c2b-ca9d9395e6d4 · outbound

This paper cites RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting

Reference 22

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source=pdf_text observed=2026-08-03T22:46:24.349483Z digest=sha256:e88b2abe8b8d1011679e86b47b032bbd7f25ff88dfe94fdf9ac0c8eb27703b09

Observation 1fd98c53-1af6-4ac8-a2d4-4e23710d38b2 · outbound

This paper cites Photon Splatting: A Physics-Guided Neural Surrogate for Real-Time Wireless Channel Prediction.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Photon Splatting: A Physics-Guided Neural Surrogate for Real-Time Wireless Channel Prediction

Reference 23

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source=pdf_text observed=2026-08-03T22:46:24.353284Z digest=sha256:2902963d5105f5f191f9a2e1f061cebc54896466bd4146c6711c5fd28f8b292c

Observation 550b4485-e6af-4af3-ae3e-d57e53df24e8 · outbound

This paper cites RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splatting.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splatting

Reference 24

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source=pdf_text observed=2026-08-03T22:46:24.357420Z digest=sha256:4d748b59427bfc1a034f7abc6084b627f4c435669795d0d9905d708db9ea957c

Observation d5c8c652-ea2b-4473-8882-85458823a075 · outbound

This paper cites NeWRF: A deep learning framework for wireless radiation field reconstruction and channel prediction,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction NeWRF: A deep learning framework for wireless radiation field reconstruction and channel prediction,

Reference 25

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source=pdf_text observed=2026-08-03T22:46:24.361341Z digest=sha256:c3fc99bafe0e69efe1292e2cee95e2596f58360845d0b4e3b0da2b3d9c53b5c1

Observation e4cc9f82-5e05-47bc-ad81-73fddb2e4bbf · outbound

This paper cites Mip-NeRF: A multiscale representation for anti- aliasing neural radiance fields,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Mip-NeRF: A multiscale representation for anti- aliasing neural radiance fields,

Reference 26

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source=pdf_text observed=2026-08-03T22:46:24.364628Z digest=sha256:d039cab673767c4273f1d9cdee3d8e7a6bd5f59dafd38864d81af7c10082c496

Observation e30ed407-3891-477d-9bb5-b75efdf38fe1 · outbound

This paper cites Message passing based wire- less multipath SLAM with continuous measurements correction,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Message passing based wire- less multipath SLAM with continuous measurements correction,

Reference 27

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source=pdf_text observed=2026-08-03T22:46:24.368023Z digest=sha256:2aed6d020ba4ccac29fa63d8ddf5c213e9350d9d4c576e79feb8c0f490184dd9

Observation c927d86b-a72f-4a9a-afdd-7b7ede3b5608 · outbound

This paper cites Multipath-based SLAM exploiting extended object estimation and classification,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Multipath-based SLAM exploiting extended object estimation and classification,

Reference 28

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source=pdf_text observed=2026-08-03T22:46:24.371698Z digest=sha256:55edb66a3601906d69c071c53c6149d8805718973215621332a4417f94166582

Observation 05033d53-1bf5-4b85-8be4-692a9bd1d6bf · outbound

This paper cites Real-valued sparse Bayesian learning for doa estimation with arbitrary linear arrays,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Real-valued sparse Bayesian learning for doa estimation with arbitrary linear arrays,

Reference 29

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source=pdf_text observed=2026-08-03T22:46:24.375206Z digest=sha256:62a30fe886feebf30ea8d75e4b236c5cbde6d6910be7b6e2a11e89d6aa6c935d

Observation c76df373-ae85-4e0f-8ae8-0bce006f49cd · outbound

This paper cites Single-receiver DOA estimation for wideband signals using space-time coding antenna and compressed sensing,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction Single-receiver DOA estimation for wideband signals using space-time coding antenna and compressed sensing,

Reference 30

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source=pdf_text observed=2026-08-03T22:46:24.378594Z digest=sha256:fc4eecaa0cfdd9c6deb3832b910db2ba7f706617e43eee13ab185a59becc7b28

Observation 46035f81-d29f-4995-a59a-53ff2d1b48a9 · outbound

This paper cites A DOA estimation algorithm based on eigenvalues ranking problem,.

Mip-NeWRF: Enhanced Wireless Radiance Field with Hybrid Encoding for Channel Prediction A DOA estimation algorithm based on eigenvalues ranking problem,

Reference 31

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source=pdf_text observed=2026-08-03T22:46:24.382018Z digest=sha256:2a1497a4e123f16efed21b8d4c92da48f7ce5eedcf0b33dcac96801bea67dd58

Pith citing papers

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