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Paper Citation Record · LEDGER

WAIR-D: Wireless AI Research Dataset

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2212.02159.

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

pith.paper-citation-record.v1
2212.02159 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:59:17.239731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:50:04.622589Z

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 3d0e8fd1-d6bc-417d-b831-1fa301527098 · inbound

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations cites this paper.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations WAIR-D: Wireless AI Research Dataset

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:17.239731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:17.239731Z digest=sha256:f6b0394693ffcd596085449a3b08ceb4a8f773e0692a88d7223111324093c36e

Observation f4705c83-52be-4f20-926c-481767151f37 · inbound

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback cites this paper.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback WAIR-D: Wireless AI Research Dataset

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:19.037706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:59:19.037706Z digest=sha256:53fec8125df1c6a70e8f7862a51bfdc6c0d6e1307e0ac765725b539874e83d3e

Observation d4e33d26-8b25-456f-a6c0-09a0e37a2f74 · inbound

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications cites this paper.

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications WAIR-D: Wireless AI Research Dataset

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T18:32:00.363220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:32:00.363220Z digest=sha256:21d673cc4563a414db9373680295f49186e6d3f448546ee6366c53d443e68d57

Observation 8c3dfe50-dbc1-44d4-9817-91ca65cdfaff · inbound

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness cites this paper.

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness WAIR-D: Wireless AI Research Dataset

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:25:21.955449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:24:16.570453Z digest=sha256:1f3fde74425a96db0d0f468ce570cd7b3b94631cf1f9a117cb19671e297ca0d1

Observation c98a95a5-9110-4034-a803-a45253bcaa91 · inbound

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness cites this paper.

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness WAIR-D: Wireless AI Research Dataset

Reference 125

Resolution
unresolved
no resolver link, observed 2026-07-13T23:08:19.232619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:08:19.232619Z digest=sha256:aec43f4436eee49bf586165b3a9197e253a341791570a58ba3846251aa4f8f38

Observation bfa9d06d-e329-430b-b0a3-66f9fde624fc · inbound

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G cites this paper.

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G WAIR-D: Wireless AI Research Dataset

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:01:49.060574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T07:00:52.738443Z digest=sha256:7f1b09f097810b1a04f36e7f66cf37ca4c42215a085f4c6c6099430ed70127bf

Observation de78f292-6ef7-42fe-a420-50e4119bd72b · inbound

WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models cites this paper.

WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models WAIR-D: Wireless AI Research Dataset

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:50:04.624019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T22:29:36.869698Z digest=sha256:a4deb7d1382f9ab866ec3edceb57e64c4214ffb0ee8f1e813798b83dc277f69f

Observation f10d2590-d7e4-4675-8e24-7de569537e8e · inbound

Physics Equivariance for Robust Generalization in Wireless Foundation Model cites this paper.

Physics Equivariance for Robust Generalization in Wireless Foundation Model WAIR-D: Wireless AI Research Dataset

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:04:32.650581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:59:51.104895Z digest=sha256:2f609dcf3e98db6dca3da8d87f74de74089c8c86942b0713f647347134a81ba0

Observation 30f03a14-aa21-4b1b-b04b-667bd2d10f6c · inbound

Unified Generalization for Frequency-Domain Channel Extrapolation Across Near-Field and Far-Field Scenarios cites this paper.

Unified Generalization for Frequency-Domain Channel Extrapolation Across Near-Field and Far-Field Scenarios WAIR-D: Wireless AI Research Dataset

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:04:32.905770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:57:00.146581Z digest=sha256:aad8ad7c0dc4d9af6ed79dc5e0e238fae95d258dea1a7149035e083a95e2baf5

Observation 153ccfa9-caa3-4abf-9759-54bcf9231ebd · inbound

On the Physical Plausibility and Distribution Alignment for Sim-to-Real RF Positioning cites this paper.

On the Physical Plausibility and Distribution Alignment for Sim-to-Real RF Positioning WAIR-D: Wireless AI Research Dataset

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T19:27:37.612426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:27:37.612426Z digest=sha256:522fc62f9dcc13be7d06cc2c466b3ec33e8e3a5dd864833e3acee0ce47f9ab36

Observation 61b5e230-e7c1-449e-a2fc-1ca216aeaed4 · inbound

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization cites this paper.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization WAIR-D: Wireless AI Research Dataset

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T22:34:45.756538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:45.756538Z digest=sha256:b5ff5c1baac14c3edfba6d05e109ab1bd55451f85cf9ae89efa6c699b4be1ae2

Observation 69873c0d-5ff7-4462-ae14-a12eecd22ceb · inbound

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation cites this paper.

Fast Cross-Scenario Adaptation of CSI Models via Channel Conditional Parameter Generation WAIR-D: Wireless AI Research Dataset

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T10:31:25.252183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:31:25.252183Z digest=sha256:fbd79acae8c9528721362c14c6c579f566ef0ed5324d063fee8dcdf960a6d065