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Paper Citation Record · LEDGER

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2512.04966.

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

pith.paper-citation-record.v1
2512.04966 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:34:54.960699Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T13:40:25.697869Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T18:51:07.781744Z

Reference resolution

40 of 40 outbound references displayed

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  • malformed identifier0
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Outbound references

Observation 7692ad5f-3db1-42b5-ace4-77232e3e8590 · outbound

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

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels On the road to 6G: Visions, requirements, key technologies, and testbeds,

Reference 1

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Observation 83989d64-6cbb-4e20-ad0f-c3fda5748fe3 · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 2

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Observation 456bef14-5cfa-4867-a01b-c6e03b38e860 · outbound

This paper cites Channel estimation and precoder design for millimeter-wave communications: The sparse way,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Channel estimation and precoder design for millimeter-wave communications: The sparse way,

Reference 3

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Observation 70d3fe3b-53e4-48ef-9429-7b013aa02fda · outbound

This paper cites Compressive phase retrieval via generalized approximate message passing,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Compressive phase retrieval via generalized approximate message passing,

Reference 4

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Observation 3162204a-90bb-47a9-893e-ec70320d286f · outbound

This paper cites Low-overhead channel estimation via 3D extrapolation for TDD mmwave massive MIMO systems under high-mobility scenarios,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Low-overhead channel estimation via 3D extrapolation for TDD mmwave massive MIMO systems under high-mobility scenarios,

Reference 5

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Observation a55ea1ad-0bb5-47da-a067-5324fcd124e1 · outbound

This paper cites Pay less but get more: A dual-attention-based channel estimation network for massive MIMO sys- tems with low-density pilots,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Pay less but get more: A dual-attention-based channel estimation network for massive MIMO sys- tems with low-density pilots,

Reference 6

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Observation af5dbe53-f012-47e0-85ec-68b2fcc56f86 · outbound

This paper cites Channel deduction: A new learning framework to acquire channel from outdated samples and coarse estimate,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Channel deduction: A new learning framework to acquire channel from outdated samples and coarse estimate,

Reference 7

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Observation 82462e3b-4871-4eb5-9838-303d500ca1c8 · outbound

This paper cites Can wireless environment information decrease pilot overhead: A channel prediction example,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Can wireless environment information decrease pilot overhead: A channel prediction example,

Reference 8

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Observation 4e3d74a9-e582-469f-af94-e2a2395a2800 · outbound

This paper cites MIMO channel estimation using score-based generative models,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels MIMO channel estimation using score-based generative models,

Reference 9

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Observation 5e4d7191-8773-47a2-91db-a627929fcad5 · outbound

This paper cites Generative diffusion models for high dimensional channel estimation,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Generative diffusion models for high dimensional channel estimation,

Reference 10

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Observation 60915dbf-0b44-4d36-8cfd-d0658f9f3340 · outbound

This paper cites A tutorial on environment-aware communications via channel knowledge map for 6G,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels A tutorial on environment-aware communications via channel knowledge map for 6G,

Reference 11

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Observation 5a28fb9a-51b9-4f2a-9316-6e9e9abd7bb4 · outbound

This paper cites Sensing- assisted high reliable communication: A Transformer-based beamform- ing approach,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Sensing- assisted high reliable communication: A Transformer-based beamform- ing approach,

Reference 12

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Observation 15a9b260-6ea9-42b7-8a91-5eb45776d50d · outbound

This paper cites Computer vision aided blockage pre- diction in real-world millimeter wave deployments,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Computer vision aided blockage pre- diction in real-world millimeter wave deployments,

Reference 13

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Observation f43a879d-66b1-40f7-9713-1eca31607378 · outbound

This paper cites Environment-aware and training-free beam alignment for mmwave massive MIMO via channel knowledge map,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Environment-aware and training-free beam alignment for mmwave massive MIMO via channel knowledge map,

Reference 14

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Observation 7105970c-5621-4ee9-b6d2-60e09bd7b07a · outbound

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

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels NeRF2: Neural radio-frequency radiance fields,

Reference 15

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Observation f0d58e20-e565-4c3c-80b2-02def0cb5976 · outbound

This paper cites Multi-modal environmental information sensing based path loss prediction for V2I communications,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Multi-modal environmental information sensing based path loss prediction for V2I communications,

Reference 16

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Observation c37fcc3c-d2af-487d-8830-07c07403416f · outbound

This paper cites Vision-aided channel prediction based on image segmentation at street intersection scenarios,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Vision-aided channel prediction based on image segmentation at street intersection scenarios,

Reference 17

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Observation 71d24a34-e00d-4f72-8ed3-dffd4ecfc6fe · outbound

This paper cites A novel multimodal fusion sensing-based channel prediction method for UA V communications,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels A novel multimodal fusion sensing-based channel prediction method for UA V communications,

Reference 18

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Observation ca5c0987-7ffe-4e3e-bfcd-ed123ade69e6 · outbound

This paper cites Flow matching for generative modeling,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Flow matching for generative modeling,

Reference 19

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Observation cf897643-7454-4618-b9be-e5f78b8e1148 · outbound

This paper cites Improving and generalizing flow- based generative models with minibatch optimal transport,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Improving and generalizing flow- based generative models with minibatch optimal transport,

Reference 20

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Observation 490e1f77-b1d8-4ee1-ada9-cc73b791b21d · outbound

This paper cites Generative artificial intelligence for mobile communications: A diffusion model perspective,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Generative artificial intelligence for mobile communications: A diffusion model perspective,

Reference 21

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Observation 4b0cec1a-96b5-4bcc-b800-e2cebee13ee9 · outbound

This paper cites Data augmentation for predictive digital twin channel: Learning multi-domain correlations by convolutional TimeGAN,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Data augmentation for predictive digital twin channel: Learning multi-domain correlations by convolutional TimeGAN,

Reference 22

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Observation 10727d45-694b-47fe-9807-3f00eb086144 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 23

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Observation 28a46658-eba4-4e30-81e0-76ab5f010b5a · outbound

This paper cites Denoising diffusion bridge models,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Denoising diffusion bridge models,

Reference 24

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Observation 939775c6-257a-4c79-8da3-b8b1d8889761 · outbound

This paper cites I2SB: image-to-image Schr¨odinger bridge,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels I2SB: image-to-image Schr¨odinger bridge,

Reference 25

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Observation df7b0419-c3f4-4a1a-a5cf-3cd32a40522e · outbound

This paper cites Text-to-image rectified flow as plug-and-play priors,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Text-to-image rectified flow as plug-and-play priors,

Reference 26

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Observation e2ca1507-1ed2-44ee-b0e1-89d2adff8103 · outbound

This paper cites CurveFlow: Curvature-Guided Flow Matching for Image Generation.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels CurveFlow: Curvature-Guided Flow Matching for Image Generation

Reference 27

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Observation 485f0772-edc0-4c44-9be0-3e69de7ac51f · outbound

This paper cites Flowing from words to pixels: A noise-free framework for cross-modality evolution,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Flowing from words to pixels: A noise-free framework for cross-modality evolution,

Reference 28

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Observation 264d3c78-d25a-41bb-aaf4-d5db7ace271a · outbound

This paper cites FlowTok: Flowing seamlessly across text and image tokens,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels FlowTok: Flowing seamlessly across text and image tokens,

Reference 29

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Observation be744f1d-7804-4c79-bc37-f63bac2fa6d7 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 30

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Observation 0603dd4a-dd24-43e4-a9d9-1e50a2ff238e · outbound

This paper cites [Online].

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels [Online]

Reference 31

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Observation c01ca0f9-820d-4037-a3aa-4baa3a32082f · outbound

This paper cites Diffusion- based generative prior for low-complexity MIMO channel estimation,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Diffusion- based generative prior for low-complexity MIMO channel estimation,

Reference 32

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Observation 52f6966a-7f31-4090-876e-f3a2a90af75c · outbound

This paper cites Physics-informed generalizable wireless channel modeling with segmentation and deep learning: Fundamentals, methodologies, and challenges,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Physics-informed generalizable wireless channel modeling with segmentation and deep learning: Fundamentals, methodologies, and challenges,

Reference 33

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Observation c64a556d-ed97-436a-9846-9e82907ddab9 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Learning transferable visual models from natural language supervision,

Reference 34

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Observation 78b853f8-a9ce-4695-a5de-8855e278929a · outbound

This paper cites Attention is all you need,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Attention is all you need,

Reference 35

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Observation deccf592-02a2-49ee-99ab-97bb925ef02c · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels U-Net: Convolutional net- works for biomedical image segmentation,

Reference 36

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no resolver link, observed 2026-08-03T18:34:54.942176Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:34:54.942176Z digest=sha256:1e7a2f23cbcf69c8b0ead9f205c49ce687bab6183c80a01015109308405c1d5c

Observation a49f5c55-8afe-49ce-8ddb-648e89bb62b5 · outbound

This paper cites Hairer, G.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Hairer, G

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T18:34:54.947119Z

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source=pdf_text observed=2026-08-03T18:34:54.947119Z digest=sha256:21785144de52f1b42d18db8e658d3348c95bd0cd04100c562b62bf7aebb07d76

Observation 05da37a6-e2e8-4194-9b57-359450a10229 · outbound

This paper cites Radio resource control (RCC) protocol specification,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Radio resource control (RCC) protocol specification,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T18:34:54.952026Z

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source=pdf_text observed=2026-08-03T18:34:54.952026Z digest=sha256:497120408d3c210d5e7d3c9eba9921f1f59354de5c556c2ae9b4ffe51c1c6553

Observation c397d5c8-88df-4763-9adf-a18c3ecab4ec · outbound

This paper cites an unresolved cited work.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T18:34:54.956377Z

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source=pdf_text observed=2026-08-03T18:34:54.956377Z digest=sha256:64191c157eb3ca4d845d37085e61b951c72e3c013dc0177890a63355b5181620

Observation dcb2bbe1-29a3-4d72-afef-05c1bc752974 · outbound

This paper cites Dual-function hybrid beamforming and transmit diversity aided mil- limeter wave architecture,.

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels Dual-function hybrid beamforming and transmit diversity aided mil- limeter wave architecture,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T18:34:54.960699Z

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source=pdf_text observed=2026-08-03T18:34:54.960699Z digest=sha256:724ed6ece477832a31c60ef52c75f1fb8d3331045398e40f9fea61df9b003a77

Pith citing papers

Observation a53d69bb-ab76-43dc-b0ce-9b19149558f7 · inbound

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems cites this paper.

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-24T01:23:02.357112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T13:40:25.697869Z digest=sha256:0bcb80b0c116a65a0c38f50042ee64e94b42bd535d9a90a27454a0b030e1029e