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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 2026-08-08T06:32:00.761636+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:c29efc75703fa54d258c58cd7fc9254cbec67748313cfab2dac232e2e40dd360

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:d2c68257400e2b3cd5d43895c4beeac881b7b8c62d61a6380219fc0b1024a58c

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:b89294138b594074e1973d053994e58aeac6fd4b00fbef812b1900622892e7e2

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=sha256:1f7da7cab4e3da8eb2d7ebc6a68c1aefd0ac3d4ba07c8bc6c8bd1c6b91d54fa4

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=sha256:1304877d4eb37f3ab027b71aa157d73332a83e543e9b2fe1c556f334a1f9d350

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=sha256:115119221d0bc79c50b8c64c2f58238c44401ac4ee4a2ab19cf37286beeaff2f

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:ee716bcd825a026bc5cad62e7c5a49e14524f9b54548af894cd0ad68e8ae3a6a

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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source=pdf_text observed=2026-08-03T22:46:24.308207Z digest=sha256:475d3c817e51c666fae3089fcaadb7def2b32c624361ac6e5b3eb19ecf2cfb9f

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:df9ff6532b5ffadf644ca8f6746d6c82bd628b83f09ca55933e02202ea03ce33

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:d1e4ec623ddaf5f7b7323b3162c19c0d82a4f8ea92c01e710d600800625b4a91

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:ac90660d385fd5ca3b292cc2e9bd2548ca22671c325720639a260f580eb183a2

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:b5da424412a5469574daf3ab173ed9fe96dcab8fabc3dd575805c52cb93609cd

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:a96a6dce189ea5bcd9f84d8981200b940383ac4e23bfe4bf8e35f7e6f8540c6a

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:f1fa2b2678910b56ec76f69810e83069200695e53558018fd696fd35659c9fc2

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:c398d7d604969c7ee8546dcd8be833628af0867d7901cbcfd248935a26d84f1a

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:ab8ee211bac9d41cd379829a277b31b4aaf93a3b6ec2f95d18db3f5e574e189b

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=sha256:71336973f87502d2b8e0ed560ee8f5d59e6405feac0343f4370c7e99a1e517f0

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:d48fa97c72a7d464b36f017034ce7598896217e7ffdaf106c1bc0356b2c04391

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:ee04f7c6c7261c43811fc56573a26c64d5372dd0858816c01af68e8234d75f5f

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=sha256:79e74bd1912431e7d735efdb3d1a9f086177be64f91077d2dfb26c3eee1036e8

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=sha256:99b94dbcc4ae18fd5b05a153916d819335ade36566f70251cde330abfa1063cd

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=sha256:5171ae689203cbf5bfa4f8a7e86c2f37d1230a0a06cea05b9c151a4760bbbe2d

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:a94801edab9fe66c43c2cc52e61e6b61ef25a79338718c4c3dbf26502dbc5da2

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=sha256:20e5d4eb1071b5c892fcf87c2f6cd838d4f915e64a8d908bbd8866baecee4a06

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=sha256:1eb29b503b29850266666b4f189cafba12b5d28539a10648bc5cb577e622d8f6

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:effb3ed8fa353ebb95911f756a26e5f8eaff39eba9248e7120b3ceaff677efc7

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=sha256:1d03a060b00bacf79ed9a0c8c4537a28bdd9d3d69db966f11e0b291bb2b4ef3f

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=sha256:1d5feee1ffc2d93155f2c8b2083fb162c69681ccc14e973b9b9ba16434e3ce57

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=sha256:9e00af4d17dae3bd7b023e5fc9c4f463ea282f57e76d55866057f5cf0baf85a8

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