Paper Citation Record · LEDGER

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1908.07934.

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

pith.paper-citation-record.v1
1908.07934 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:04.077185Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18dee9c8-49a5-4756-8407-5be4da6d1756 · outbound

This paper cites Deep Learning Based MIMO Communications.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Deep Learning Based MIMO Communications

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:04.010740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c600392b-a564-4f4b-af9e-de119652eedb · outbound

This paper cites Deep learning-based CSI feedback approach for time-varying massive MIMO channels,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Deep learning-based CSI feedback approach for time-varying massive MIMO channels,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.325123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9c41ac6e-ad78-457b-b185-3936f62f793b · outbound

This paper cites Deep learning for wireless physical layer: Opportunities and challenges,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Deep learning for wireless physical layer: Opportunities and challenges,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.309199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dbe96956-09ee-4ee6-bacc-2445754e4549 · outbound

This paper cites Downlink training techniques for FDD massive MIMO systems: Open-loop and closed-loop training with memory,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Downlink training techniques for FDD massive MIMO systems: Open-loop and closed-loop training with memory,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.293965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 979ccfaf-6bb2-4cf2-bb7b-d7995656a8a7 · outbound

This paper cites On capacity of large- scale MIMO multiple access channels with distributed sets of correlated antennas,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback On capacity of large- scale MIMO multiple access channels with distributed sets of correlated antennas,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.277901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ccc9458-c847-4bf0-aa5c-46c030ad4a34 · outbound

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

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Deep learning for massive MIMO CSI feedback,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.261838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7dcc4de6-2fcb-4639-83a9-e3bf33800c94 · outbound

This paper cites MIMO channel information feedback using deep recurrent network,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback MIMO channel information feedback using deep recurrent network,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.245899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0eda41ae-ac3f-4019-9df5-5000b8c3c9eb · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.229677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08de8d1e-c8ee-4ce0-8fd2-4aef42fcc83c · outbound

This paper cites An EM-based forward-backward kalman ﬁlter for the estimation of time-variant channels in OFDM,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback An EM-based forward-backward kalman ﬁlter for the estimation of time-variant channels in OFDM,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.213624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a498ffd6-53fb-4358-93c9-fc1db9c6f037 · outbound

This paper cites Convolutional LSTM network: A machine learning approach for precipitation nowcasting,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Convolutional LSTM network: A machine learning approach for precipitation nowcasting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.196411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2921dee7-e273-48b2-b23b-55d033008dd3 · outbound

This paper cites Learning spatio-temporal representation with pseudo-3d residual networks,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Learning spatio-temporal representation with pseudo-3d residual networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.180445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 756b63d7-3154-4757-828a-fa717db793ca · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Inception-v4, inception-resnet and the impact of residual connections on learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.164357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8604201a-b4f5-4f7a-b58d-4480c80b06a3 · outbound

This paper cites Identity mappings in deep residual networks,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Identity mappings in deep residual networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.147091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49d6fb43-17fe-499f-a6c2-8bef541ce7ba · outbound

This paper cites The COST 2100 MIMO channel model,.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback The COST 2100 MIMO channel model,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:20:04.129874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.