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Paper Citation Record · LEDGER

NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.03241.

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

pith.paper-citation-record.v1
2403.03241 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:43:31.324011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T10:16:52.329475Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 46ab4923-4998-4473-af32-ad39a27becbf · inbound

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

RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T10:15:35.332045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:15:35.332045Z digest=sha256:1160a6d48b4d9ff36efbbe9b2b8b368340d6f7022ee574ea171bc2e0190d15e0

Observation 9ccb0d13-afd7-4ebc-bf77-5d964ef0f232 · inbound

FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection cites this paper.

FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:43:31.324011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:43:31.324011Z digest=sha256:8964fa477693232d7a00b67ebb0f91349480a246570f4a2a5fb3abb1478c541c

Observation e8f8377b-679a-492b-a12a-afe54fb30b9c · inbound

Terahertz Spatial Wireless Channel Modeling with Radio Radiance Field cites this paper.

Terahertz Spatial Wireless Channel Modeling with Radio Radiance Field NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T23:46:25.972933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:46:25.972933Z digest=sha256:3e165c16c146f532c56167104f7240a3a3e2f839c34fa9efe37c0aa334f431db

Observation 9b2deb93-6541-4217-b357-c055b5c4d071 · inbound

SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work cites this paper.

SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T22:29:00.045899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:29:00.045899Z digest=sha256:ec8d5d88b795e99038c2ff699d6c54e8c21dc731a0e49e8b72caf1b5c10cc050

Observation bb30101a-5a35-44da-89ef-1a77054dd611 · inbound

Radio-Frequency Inverse Rendering for Wireless Environment Modeling cites this paper.

Radio-Frequency Inverse Rendering for Wireless Environment Modeling NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:15:59.432889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T17:15:47.856092Z digest=sha256:bfe4d1f692e307524bcf679a47c67948316b0ef61da3ff4a9cc77e34dd18b56b

Observation 1e8245af-987b-4818-827a-08f89af82853 · inbound

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing cites this paper.

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:17:37.560265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T08:14:04.769153Z digest=sha256:917d39839512d173b313b41d6bb1e5b2e1fcae19ef2fb50637e1a5b9754e19ea

Observation 75af5ab0-82f5-4222-b769-fb16df7a9806 · inbound

RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments cites this paper.

RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:01:13.973555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T07:14:29.391432Z digest=sha256:f0703e3f23c8185a930e944bac22d80dd3368ce882727f97c6b108ba75de08e9

Observation 02e4959c-3cae-4384-b16c-e12a3ab38349 · inbound

RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling cites this paper.

RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:16.422905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T08:44:02.202288Z digest=sha256:5bd2d78ccdb4ed4d7c6a14c5b72d787004bc5542c41764b24615610f5225451d

Observation 50ea55c0-3898-4573-8f92-4db58c560a71 · inbound

WiSER: A Wireless Scene Encoder for Geometry-Grounded Multi-View Wireless Prediction cites this paper.

WiSER: A Wireless Scene Encoder for Geometry-Grounded Multi-View Wireless Prediction NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:16:52.331037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T05:09:07.754702Z digest=sha256:48da2854eb6c9790fd81513666ff1dfc4117b6fd4a347cc397895754c3112f59