Paper Citation Record · LEDGER

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.10074.

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

pith.paper-citation-record.v1
2507.10074 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:46:30.055437Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

verified exact1
verified fuzzy30
unresolved2
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e93222ed-0e00-43e4-bc38-0b9dbf31edc6 · outbound

This paper cites AI-driven iterative receiver for superimposed pilot schemes in MIMO-OFDM systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation AI-driven iterative receiver for superimposed pilot schemes in MIMO-OFDM systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.333562Z

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.

Observation 6eeeb748-1cb2-4ed4-be05-6b5ef0b627ad · outbound

This paper cites Channel estimation techniques based on pilot arrangement in OFDM systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Channel estimation techniques based on pilot arrangement in OFDM systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.325463Z

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.

Observation d0e33ce8-212f-49db-84da-6dda4d84bf6a · outbound

This paper cites Noncooperative cellular wireless with unlimited num- bers of base station antennas,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Noncooperative cellular wireless with unlimited num- bers of base station antennas,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:27.782016Z

Source-reported events for the cited work

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Observation e73388f1-62c2-43d5-a7a7-4be633e10380 · outbound

This paper cites How much training is required for multiuser MIMO?.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation How much training is required for multiuser MIMO?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.311894Z

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.

Observation 11e77404-4012-49f4-9a6b-30e8c733aab3 · outbound

This paper cites Superim- posed pilots for cell-free massive MIMO over spatial-correlated Rician fading channels,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Superim- posed pilots for cell-free massive MIMO over spatial-correlated Rician fading channels,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.304401Z

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.

Observation 65ca00ed-5427-4943-8d25-3139e3d64b98 · outbound

This paper cites Optimized payload length and power allocation for generalized superimposed pilot in URLLC transmissions,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Optimized payload length and power allocation for generalized superimposed pilot in URLLC transmissions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.297216Z

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.

Observation 89614272-2b96-4c8c-9cf8-3f2b2f161ab6 · outbound

This paper cites Message passing- based joint channel estimation and signal detection for OTFS with superimposed pilots,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Message passing- based joint channel estimation and signal detection for OTFS with superimposed pilots,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.289918Z

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.

Observation bdf6c245-a0b1-4d00-aa64-9dab8e0b6d74 · outbound

This paper cites Bayesian learning-aided channel estimators for superimposed-pilot-based OTFS systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Bayesian learning-aided channel estimators for superimposed-pilot-based OTFS systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.282272Z

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.

Observation 9dbb1d0a-a8e1-4e9f-95ae-54c769bb2a2e · outbound

This paper cites RIS-empowered integrated location sensing and communica- tion with superimposed pilots,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation RIS-empowered integrated location sensing and communica- tion with superimposed pilots,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.274934Z

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.

Observation f6989a93-f15c-4567-b263-e2d31182f7b7 · outbound

This paper cites An affine precoded superimposed pilot-based mmWave MIMO-OFDM ISAC system,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation An affine precoded superimposed pilot-based mmWave MIMO-OFDM ISAC system,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.267466Z

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.

Observation 85a4b274-12f5-4358-8e8c-db9f7e6d0f44 · outbound

This paper cites End-to-end learning for OFDM: From neural receivers to pilotless communication,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation End-to-end learning for OFDM: From neural receivers to pilotless communication,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.259898Z

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.

Observation 0177a3b7-2502-4232-91a3-0ef4ed1b914c · outbound

This paper cites Deep receiver for multi-layer data transmission with superimposed pilots,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Deep receiver for multi-layer data transmission with superimposed pilots,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.252251Z

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.

Observation 76b040d7-9f20-498b-914c-1c556d25ea07 · outbound

This paper cites Superimposed DMRS for Spectrally Efficient 6G Uplink Multi-User OFDM: Classical vs AI/ML Receivers.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Superimposed DMRS for Spectrally Efficient 6G Uplink Multi-User OFDM: Classical vs AI/ML Receivers

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:46:30.095261Z

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.

Observation d18617df-34de-4867-9644-7f3cc9bd18aa · outbound

This paper cites Interference cancellation based neural receiver for superimposed pilot in multi-layer transmission,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Interference cancellation based neural receiver for superimposed pilot in multi-layer transmission,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.244833Z

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.

Observation d04609b7-7354-4691-b119-8034e8793cd3 · outbound

This paper cites A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.237170Z

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.

Observation 13f362ea-b7eb-4ccb-a545-09c805e43d0d · outbound

This paper cites Variational message-passing for joint channel estimation and decoding in MIMO-OFDM,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Variational message-passing for joint channel estimation and decoding in MIMO-OFDM,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.229322Z

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.

Observation 23e02c5d-bf4c-4491-9e79-b48391ac6882 · outbound

This paper cites Trainable joint channel estimation, detection, and decoding for MIMO URLLC systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Trainable joint channel estimation, detection, and decoding for MIMO URLLC systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.221669Z

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.

Observation 9188ff43-4fb9-404a-a134-ce114e156921 · outbound

This paper cites Bilinear expectation propagation for distributed semi-blind joint channel estimation and data detection in cell-free massive MIMO,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Bilinear expectation propagation for distributed semi-blind joint channel estimation and data detection in cell-free massive MIMO,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.213865Z

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.

Observation f232b6ef-85e5-446c-9d48-9db2f5adf831 · outbound

This paper cites On orthogonal and superimposed pilot schemes in massive MIMO NOMA systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation On orthogonal and superimposed pilot schemes in massive MIMO NOMA systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.206322Z

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.

Observation 33d7aa03-5b83-4aef-afa6-ee90953f1883 · outbound

This paper cites Massive-MIMO iterative channel estimation and decoding (MICED) in the uplink,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Massive-MIMO iterative channel estimation and decoding (MICED) in the uplink,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.198605Z

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.

Observation 9fb6962b-d572-4f19-939a-65df352964ae · outbound

This paper cites Superimposed pilot optimization design and channel estimation for multiuser massive MIMO systems,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Superimposed pilot optimization design and channel estimation for multiuser massive MIMO systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.191058Z

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.

Observation 42c7e303-9f1f-454d-8025-ed1ce1cce57a · outbound

This paper cites Bayesian learning-based ISAC in RIS-aided mmWave systems with superimposed symbols,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Bayesian learning-based ISAC in RIS-aided mmWave systems with superimposed symbols,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.183768Z

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.

Observation a546aa71-1b3f-4ea6-aa3a-2b1a78a1acee · outbound

This paper cites Bayesian learning for double-RIS aided ISAC systems with superimposed pilots and data,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Bayesian learning for double-RIS aided ISAC systems with superimposed pilots and data,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.175903Z

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.

Observation e1630871-579c-45dd-b76f-2e87d8b9401b · outbound

This paper cites Enhancing wideband mul- tiuser MIMO uplink using superimposed pilots: Joint receiver design,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Enhancing wideband mul- tiuser MIMO uplink using superimposed pilots: Joint receiver design,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.167812Z

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.

Observation 8099ee95-4584-4372-8628-a84afc034852 · outbound

This paper cites NR; Physical channels and modulation,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation NR; Physical channels and modulation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.159710Z

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.

Observation 053846fe-b2d9-4ebd-b289-28f2b580f6bf · outbound

This paper cites ASIC implementation of soft- input soft-output MIMO detection using MMSE parallel interference cancellation,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation ASIC implementation of soft- input soft-output MIMO detection using MMSE parallel interference cancellation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.152162Z

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.

Observation 978bd86b-59a2-4645-b389-47786c6be5c6 · outbound

This paper cites Deep residual learning meets OFDM channel estimation,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Deep residual learning meets OFDM channel estimation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.144544Z

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.

Observation 0d184386-0fab-4fe2-9461-60b1a33450b7 · outbound

This paper cites Deep learning based OFDM channel estimation using frequency-time division and attention mechanism,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Deep learning based OFDM channel estimation using frequency-time division and attention mechanism,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.135991Z

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.

Observation 87e669ba-1f61-4493-b2e8-96b84f58200c · outbound

This paper cites Deep residual learning with attention mechanism for OFDM channel estimation,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Deep residual learning with attention mechanism for OFDM channel estimation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.127898Z

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.

Observation dec889fc-b305-4324-850b-36bb0609e850 · outbound

This paper cites An attention-aided deep learning framework for massive MIMO channel estimation,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation An attention-aided deep learning framework for massive MIMO channel estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.119929Z

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.

Observation ef2747dd-c944-4246-b4e5-11a1ce832205 · outbound

This paper cites Symbol-level online channel tracking for deep receivers,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Symbol-level online channel tracking for deep receivers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.111871Z

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.

Observation 7e165a00-889d-44e0-a5d0-e4889e38ab10 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz,.

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:46:30.103871Z

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.

Observation 3a969c18-b33b-4072-8ece-d8221b841814 · outbound

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

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:30.055437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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