Paper Citation Record · LEDGER

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.06833.

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

pith.paper-citation-record.v1
2507.06833 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:59:19.037706Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact2
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e995002-c205-41f1-a94f-a88ba1076f8e · outbound

This paper cites Massive MIMO evolution toward 3GPP release 18,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Massive MIMO evolution toward 3GPP release 18,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:25.040568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe944ba8-54a2-4a4d-88bc-f450152bce72 · outbound

This paper cites an unresolved cited work.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:59:24.580460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3957ead0-675e-4f7b-aef0-539f6c67ad2b · outbound

This paper cites TypeII-CsiNet: CSI feedback with TypeII codebook,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback TypeII-CsiNet: CSI feedback with TypeII codebook,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:24.198553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b86c4e83-7728-445c-8bb6-d78348d99161 · outbound

This paper cites Deep learning for massive MIMO CSI feedback,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Deep learning for massive MIMO CSI feedback,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:23.766447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2e1b5f1-a00b-44cd-96b8-5b6c854575f5 · outbound

This paper cites Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:23.307926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8834295-357e-4cde-b8b2-864d50b68afa · outbound

This paper cites TransNet: Full attention network for CSI feedback in FDD massive MIMO system,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback TransNet: Full attention network for CSI feedback in FDD massive MIMO system,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:22.953987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff94d6f7-4540-48c9-ae20-34cf1e7fc87c · outbound

This paper cites Overview of deep learning- based CSI feedback in massive MIMO systems,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Overview of deep learning- based CSI feedback in massive MIMO systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:22.468564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0339ce50-1771-4f8b-aa3e-7bf31273c107 · outbound

This paper cites an unresolved cited work.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:59:22.086449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff2a8c3c-4933-4c96-88a2-b4951fc792f4 · outbound

This paper cites Multi-domain correlation- aided implicit CSI feedback using deep learning,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Multi-domain correlation- aided implicit CSI feedback using deep learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:21.809760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae7a5361-85cc-4fc7-980a-31edcc77f1c3 · outbound

This paper cites Generalizing Deep Learning-Based CSI Feedback in Massive MIMO via ID-Photo-Inspired Preprocessing.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Generalizing Deep Learning-Based CSI Feedback in Massive MIMO via ID-Photo-Inspired Preprocessing

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:59:19.801704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb5cdf09-34e1-4b4a-90b4-24c291ff0c36 · outbound

This paper cites Path evolution model for endogenous channel digital twin towards 6G wireless networks,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Path evolution model for endogenous channel digital twin towards 6G wireless networks,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:59:19.413159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0cfce8fd-1e9b-465f-889a-ddcfdb990df6 · outbound

This paper cites Quantization adaptor for bit- level deep learning-based massive MIMO CSI feedback,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Quantization adaptor for bit- level deep learning-based massive MIMO CSI feedback,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:21.496914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5294862a-c09f-4752-b39d-c498ce81617c · outbound

This paper cites Modeling the data-generating process is necessary for out-of-distribution generalization,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Modeling the data-generating process is necessary for out-of-distribution generalization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:21.099580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a9b6968-8b18-4a4c-8681-2d41861d44ca · outbound

This paper cites Beamspace channel estimation for wideband millimeter-wave MIMO: A model- driven unsupervised learning approach,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Beamspace channel estimation for wideband millimeter-wave MIMO: A model- driven unsupervised learning approach,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:20.692617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04a594a3-a5f4-40f1-9bf3-414ee0ebb176 · outbound

This paper cites Deep learning assisted calibrated beam training for millimeter-wave communication systems,.

Enhancing Environment Generalizability for Deep Learning-Based CSI Feedback Deep learning assisted calibrated beam training for millimeter-wave communication systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:59:20.157071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

This paper cites WAIR-D: Wireless AI Research Dataset.

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.

Pith citing papers

No inbound Pith citation observations are available.