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Paper Citation Record · LEDGER

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink

As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.21343.

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

pith.paper-citation-record.v1
2505.21343 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:41:54.802330Z

measured 57 of 57 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 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

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy54
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 187078d2-20e3-402e-9130-370a25f45a3f · outbound

This paper cites Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.877137Z

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.

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Observation d2b39025-aac5-47cc-a10a-3209ac22e3fa · outbound

This paper cites Massive MIMO Detection Techniques: A Survey,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Massive MIMO Detection Techniques: A Survey,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.726739Z

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.

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Observation 8d8f3ae0-6c90-42fe-89c0-ecafc421763e · outbound

This paper cites Survey on Massive MIMO: Technol- ogy, Challenges, Opportunities and Benefits,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Survey on Massive MIMO: Technol- ogy, Challenges, Opportunities and Benefits,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.615117Z

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.

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Observation 9a3acbd1-0c87-43af-a39b-eb5a71582666 · outbound

This paper cites Space Modulation On Wireless Fading Chan- nels,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Space Modulation On Wireless Fading Chan- nels,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.505718Z

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=2026-08-07T13:41:48.382824Z digest=sha256:4a409cfac3874b7229be12ad7459d1ddfc131ac7e7bce3f64a95f096520f1dc0

Observation bddce0f9-9f44-475b-9c29-95d0fb8d6ff8 · outbound

This paper cites 50 Years of Permutation, Spatial and Index Modulation: From Classic RF to Visible Light Communications and Data Storage,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink 50 Years of Permutation, Spatial and Index Modulation: From Classic RF to Visible Light Communications and Data Storage,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.467398Z

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=2026-08-07T13:41:48.467960Z digest=sha256:90732ac7c6d64adb2b87fa8e428731426dd78dbbead6da5fb14a74efe2412b92

Observation 0d4924a5-efb4-43f2-afb1-256e83a74eff · outbound

This paper cites Spatial Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Spatial Modulation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.392719Z

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=2026-08-07T13:41:48.559064Z digest=sha256:49c7d0c3b93b6f9dad4b9f85f08fc2619e0df2df05867c29f7add100264c2b72

Observation cf0888a6-ffd3-4a2a-98d5-1be4036080e8 · outbound

This paper cites Spatial Modulation and Space-Time Shift Keying: Optimal Performance at a Reduced Detection Complexity,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Spatial Modulation and Space-Time Shift Keying: Optimal Performance at a Reduced Detection Complexity,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.236810Z

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.

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Observation d840bdce-2148-40c7-95d7-5aad4b7828c6 · outbound

This paper cites On Massive Spatial Modulation MIMO: Spectral Efficiency Analysis and Optimal System Design,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink On Massive Spatial Modulation MIMO: Spectral Efficiency Analysis and Optimal System Design,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:04.087484Z

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=2026-08-07T13:41:48.904371Z digest=sha256:93f9db8f10cf9110d9aa21fab3cc75fcfaa4ca7ce5a0fbfcca420f07adc6f02a

Observation 4bd10226-8550-40ab-8a77-f52fff259c5d · outbound

This paper cites Design Guidelines for Spatial Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Design Guidelines for Spatial Modulation,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:03.904263Z

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.

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Observation de7ef451-5360-4fa0-a7e0-af0f1d7d4b59 · outbound

This paper cites On Generalized Spatial Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink On Generalized Spatial Modulation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:03.700527Z

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.

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Observation 3b9def83-9e7b-49be-9615-93678cfc380e · outbound

This paper cites Gener- alized Spatial Modulation in Large-Scale Multiuser MIMO Systems,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Gener- alized Spatial Modulation in Large-Scale Multiuser MIMO Systems,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:03.533424Z

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=2026-08-07T13:41:49.376938Z digest=sha256:a1e57a3801857fa9be482d1878a3b6729b58e3cb19a5f0ad3e06b531f373ef68

Observation 947fc00d-6c39-4951-a4c8-860030ecb124 · outbound

This paper cites Index Modulation Techniques For 5G Wireless Networks,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Index Modulation Techniques For 5G Wireless Networks,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:03.331349Z

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=2026-08-07T13:41:49.526246Z digest=sha256:802515284ce2bd5ac415d001fad4242fddcf25b4cdef0138d021da63ec07a7ee

Observation 685f3280-bf19-48c8-9f42-7d361aff4811 · outbound

This paper cites Subcarrier-Index Modulation OFDM,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Subcarrier-Index Modulation OFDM,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:03.109652Z

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=2026-08-07T13:41:49.694929Z digest=sha256:d5caa3b36f3da62f134a5be7630ac31db983dadf4cc3b2f1245689d873f1b6af

Observation 03ce2ee5-9a08-485f-a3c7-e5004e0d2e89 · outbound

This paper cites On the Achievable Rate of OFDM With Index Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink On the Achievable Rate of OFDM With Index Modulation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.930657Z

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=2026-08-07T13:41:49.826334Z digest=sha256:6676e8b9b2c4347ee24ee3098ab35563e042f6742a1f5d040b2828e0fee690c8

Observation 96050f95-f42f-48d5-a255-b8ae8a055f36 · outbound

This paper cites Generalization of Orthogonal Frequency Division Multiplexing With Index Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Generalization of Orthogonal Frequency Division Multiplexing With Index Modulation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.744892Z

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=2026-08-07T13:41:49.942637Z digest=sha256:88e053b1ce5064346f61e3fb66b5835791a2332b47fda9f29e1df35710cb1ad8

Observation 033697aa-31ad-47e1-9e0e-487584c00baf · outbound

This paper cites Uplink and Downlink Transceiver Design for OFDM with Index Modulation in Multi-user Networks,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Uplink and Downlink Transceiver Design for OFDM with Index Modulation in Multi-user Networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.526423Z

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=2026-08-07T13:41:50.087428Z digest=sha256:08e9196b48089ef2d1c2fa5ca03dfcdb8c993a8b488a6813bdc8f99ac92e5a95

Observation e40f9fd1-e9f6-4b55-a0ac-25907f1df2fa · outbound

This paper cites Compressed Sensing,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Compressed Sensing,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.133472Z

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=2026-08-07T13:41:50.447753Z digest=sha256:6023424c56191dce78a05d493d034857914f57765a23f7cd030363c43dc9a49d

Observation b5fb3314-1bbe-40a6-9e1b-6e64f7eea5ef · outbound

This paper cites Gener- alized Space-and-Frequency Index Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Gener- alized Space-and-Frequency Index Modulation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.900682Z

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=2026-08-07T13:41:50.585885Z digest=sha256:12ecec108bb538356b95e787ef58c3e578d7ec9da50b4df207f327368c67586a

Observation 8af77223-d6b3-40ff-b4e3-53a31a9f7728 · outbound

This paper cites Hierarchical Multi- Functional Layered Spatial Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Hierarchical Multi- Functional Layered Spatial Modulation,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.762745Z

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=2026-08-07T13:41:50.737002Z digest=sha256:c905d76a0019fb0be5c50bdfbd179c4920bdfe724140a9c96bdbdcf04caba27f

Observation 91fed42d-4935-4a63-8b7d-6e9ebe2edf1a · outbound

This paper cites Multidimen- sional Index Modulation in Wireless Communications,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Multidimen- sional Index Modulation in Wireless Communications,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.569718Z

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=2026-08-07T13:41:50.940229Z digest=sha256:4ed1887042fece070e7c3e100272925fd2c3129ec9071d9c13b67c1a3d603f75

Observation da97b5ce-95fc-4825-9348-e97e8306726b · outbound

This paper cites Mul- tidomain Index Modulation for Vehicular and Railway Communications: A Survey of Novel Techniques,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Mul- tidomain Index Modulation for Vehicular and Railway Communications: A Survey of Novel Techniques,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.400823Z

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=2026-08-07T13:41:51.066703Z digest=sha256:496083344acb3d8178a7d6b633411841c5eeb5e814a72809646248780fef87e5

Observation 1b6576a6-0088-4753-89e9-1aa59ec55dc5 · outbound

This paper cites Space-, Time- and Frequency- Domain Index Modulation for Next-Generation Wireless: A Unified Single-/Multi-Carrier and Single-/Multi-RF MIMO Framework,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Space-, Time- and Frequency- Domain Index Modulation for Next-Generation Wireless: A Unified Single-/Multi-Carrier and Single-/Multi-RF MIMO Framework,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:01.122641Z

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=2026-08-07T13:41:51.196256Z digest=sha256:29e0140de2ac139b6479b1d30c2e6df0b373262304e912a3821595cc8fbbadb1

Observation 5e9efca2-6a77-450b-b8a8-beb380b48571 · outbound

This paper cites Compressed Sensing-Aided Multi-Dimensional Index Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Compressed Sensing-Aided Multi-Dimensional Index Modulation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:00.864863Z

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=2026-08-07T13:41:51.281910Z digest=sha256:7c27c188a44bca40f4093ee1dda9b17d9bff32a9411afac85d0abb480d53909a

Observation 29530bc5-01db-4460-aa4c-a989735b0580 · outbound

This paper cites Near-Instantaneously Adaptive Learning-Assisted and Compressed Sensing-Aided Joint Multi- Dimensional Index Modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Near-Instantaneously Adaptive Learning-Assisted and Compressed Sensing-Aided Joint Multi- Dimensional Index Modulation,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:00.586881Z

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=2026-08-07T13:41:51.342983Z digest=sha256:611f42b0d9f2cfb298d00606d55d0d5c46680c033a7ac97fed1c23b3c69bc618

Observation d319504e-ca76-4c51-bcf4-e58e14b73b6c · outbound

This paper cites Two-Dimensional Index Modulation for the Large-Scale Multi-User MIMO Uplink,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Two-Dimensional Index Modulation for the Large-Scale Multi-User MIMO Uplink,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:00.277911Z

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=2026-08-07T13:41:51.454944Z digest=sha256:8320b6364616ce87f27f6b7cd7a8b2e7191638982979bcca70689733d810b552

Observation ee293235-9507-4325-86fe-57fdb5200f00 · outbound

This paper cites Message Passing Algo- rithms for Compressed Sensing,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Message Passing Algo- rithms for Compressed Sensing,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.991034Z

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=2026-08-07T13:41:51.549489Z digest=sha256:f761714f09b7dfc4dd594f5d6e3f9c0fa6ee4ce9d00e94003158a45b424c6921

Observation 21466f0b-4431-4036-bbdd-c0a1acdf148c · outbound

This paper cites Optimality of Large MIMO Detection via Approximate Message Passing,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Optimality of Large MIMO Detection via Approximate Message Passing,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.694345Z

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=2026-08-07T13:41:51.709791Z digest=sha256:4703968aecb951fc68c9fb8fbb87f60d2ffac57a71a2e22ac7de6e9bcede5f2f

Observation 5f830265-e373-462f-bce4-2efb8d27b2a9 · outbound

This paper cites Generalized Space-Frequency Index Modulation: Low-Complexity Encoding and Detection,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Generalized Space-Frequency Index Modulation: Low-Complexity Encoding and Detection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:58.859406Z

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=2026-08-07T13:41:52.100715Z digest=sha256:4eb4f95a4a6040e89b379e68ef48139408a4c6a3b8a6e751490b3fd899b32e1a

Observation 574363e7-61d4-4659-9c6c-3943ccdb2948 · outbound

This paper cites Orthogonal AMP,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Orthogonal AMP,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:58.613007Z

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=2026-08-07T13:41:52.211478Z digest=sha256:b790b74cd37b00514e0f89e0f61b66769b8461e53d7333cae142e992b4a97382

Observation 3fe1e591-4003-4364-8d89-41a469d81bf8 · outbound

This paper cites Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:58.315450Z

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=2026-08-07T13:41:52.320760Z digest=sha256:dd101ccacef67b3855078d3635b3008de5f2e4e3d8a45dce00a7642eab0937fb

Observation 2e3b2d20-00ef-45db-922e-fc298adeee20 · outbound

This paper cites Expecta- tion Propagation Detector for Extra-Large Scale Massive MIMO,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Expecta- tion Propagation Detector for Extra-Large Scale Massive MIMO,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:58.111213Z

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=2026-08-07T13:41:52.424616Z digest=sha256:1e0004ff962d1b4a80fcbf1efcab5afeca1a484330bcce845be88dfb42c8a5e1

Observation 1dd7c2b3-45aa-4c33-be43-e6f41623920d · outbound

This paper cites Model-Driven Deep Learning for MIMO Detection,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Model-Driven Deep Learning for MIMO Detection,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:57.968223Z

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=2026-08-07T13:41:52.571711Z digest=sha256:60bbe09673b032626ac1fa7ae5ffacd9d327e8c4eb6e2aa99c57cf53ec403a7c

Observation ec479320-2fb8-4ab5-858e-05aae5dbbd8a · outbound

This paper cites Model-Driven Deep Learning for Physical Layer Communications,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Model-Driven Deep Learning for Physical Layer Communications,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:57.790094Z

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=2026-08-07T13:41:52.648810Z digest=sha256:e9df0de5f2bd1d10894a596e7a6557cce87b02f8208573d6c036bf5aaec663ea

Observation 76328fa0-8363-4bc4-870e-97f43d8cd1e3 · outbound

This paper cites Learning to Detect,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Learning to Detect,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:57.624979Z

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=2026-08-07T13:41:52.735660Z digest=sha256:9b931b4569079c397835a30696dec3d280b71e5cf4bd5be8fd69844f716866dd

Observation cf08263a-d46b-4561-ae59-a55459a9224f · outbound

This paper cites Graph Neural Networks for Massive MIMO Detection.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Graph Neural Networks for Massive MIMO Detection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:41:52.806548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:41:52.806548Z digest=sha256:f967eacc006908c12d70d2ad54da1cbe734a06a7e8845bf207b17eb1344a323f

Observation 911744a2-a869-498a-aaef-553fedf87665 · outbound

This paper cites Graph Neural Networks for Wireless Communications: From Theory to Practice,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Graph Neural Networks for Wireless Communications: From Theory to Practice,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:57.483392Z

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=2026-08-07T13:41:52.876882Z digest=sha256:bc7c57fb770b7b755a3c1994d0846ef04cceecc38d4c270ad9acb0952e92530d

Observation 151a0e85-c743-4702-b989-10ddc6a93786 · outbound

This paper cites GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:57.358464Z

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=2026-08-07T13:41:52.954962Z digest=sha256:9a7204179495f6a316e85ab3ce4221f33894c7e15b886a9ea5f0b91de7a98649

Observation e87a5f9d-8a68-4cd4-9699-ee91f84b6d82 · outbound

This paper cites Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Graph Neural Network Aided Expectation Propagation Detector for MU-MIMO Systems,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:57.161594Z

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=2026-08-07T13:41:53.046547Z digest=sha256:eff2db29319c2a74d10f55975a04ac281d622241951a4cb907df8fd7b6c45039

Observation 51d86ded-40f1-4eba-9e28-faac689ab210 · outbound

This paper cites Graph Neural Network Aided MU-MIMO Detectors,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Graph Neural Network Aided MU-MIMO Detectors,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.957913Z

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=2026-08-07T13:41:53.142377Z digest=sha256:8a85b2abcda0c961a0d358f5c97e2dd23c20e8573c07f194c410df78c21bea49

Observation 7c7ea21e-c6ed-47e8-a5e1-105b108107b6 · outbound

This paper cites Low- Complexity Detection for Index Modulation Multiple Access,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Low- Complexity Detection for Index Modulation Multiple Access,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.841291Z

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=2026-08-07T13:41:53.214737Z digest=sha256:f0e2f9b715863f6f9fe3790eba22a92623a258194ddf53935f06735191f938c7

Observation f3a242b6-2b6f-46b7-b848-af47278754e0 · outbound

This paper cites Multi-User Spatial Modulation MIMO,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Multi-User Spatial Modulation MIMO,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.700872Z

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=2026-08-07T13:41:53.323003Z digest=sha256:f8276591009e722db17f3e971a6bf6dfe57301a62b9e186600493b4b234c1de4

Observation 0bcc3c51-5202-4d45-aae8-0ebb42a5d443 · outbound

This paper cites Non-Coherent Multi-User Detection Based on Expectation Propagation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Non-Coherent Multi-User Detection Based on Expectation Propagation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.529255Z

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=2026-08-07T13:41:53.413226Z digest=sha256:0e847fd7e4d176c8e37a0e2bde467b222e91b549d660f650b7614b2783521965

Observation 89bee462-9db8-49dc-961d-5f0ccd74f092 · outbound

This paper cites Spatial Modulation Orthogonal Frequency Division Multiplexing with Subcarrier Index Modulation for V2X Communications,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Spatial Modulation Orthogonal Frequency Division Multiplexing with Subcarrier Index Modulation for V2X Communications,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.322257Z

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=2026-08-07T13:41:53.525403Z digest=sha256:c107709a7d11095b7e5b03b6d13330d657b46955a7afdfb0316039f7749e0985

Observation eca030ae-32b3-4f80-807d-ff9762f982a5 · outbound

This paper cites Compressed Sensing Improves the Performance of Subcarrier Index-Modulation-Assisted OFDM,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Compressed Sensing Improves the Performance of Subcarrier Index-Modulation-Assisted OFDM,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:02.293884Z

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=2026-08-07T13:41:53.610374Z digest=sha256:ae5b39dec2b3e145e15d4bee10ba44e3aa713d5e76c40ec285cc1a58734c5162

Observation e3ba2435-7936-4f5b-90bf-45fc25131735 · outbound

This paper cites Multiuser MIMO-OFDM for Next-Generation Wireless Systems,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Multiuser MIMO-OFDM for Next-Generation Wireless Systems,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:05.008103Z

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=2026-08-07T13:41:53.718787Z digest=sha256:51743a7ce3ec9700a6dad58aa8496d5640a1c61c90bbea9f71fe6e14e18a5247

Observation bd55863f-6ecc-4284-9d3d-414e83c3d278 · outbound

This paper cites Multiuser Detection for Nonlinear MIMO Uplink,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Multiuser Detection for Nonlinear MIMO Uplink,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.156480Z

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=2026-08-07T13:41:53.769922Z digest=sha256:e12b16ae0d3b67fbcb12b31b4bd98cf84e891da1325a1c0212005100a94d0d66

Observation 04c4e303-0424-4606-9f26-3df126260ea3 · outbound

This paper cites Iterative Synchronization of Mul- tiuser Ultra-Wideband Signals,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Iterative Synchronization of Mul- tiuser Ultra-Wideband Signals,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:56.013794Z

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=2026-08-07T13:41:53.857265Z digest=sha256:d95893ae007c27eae645ccd8e693bd3a95656c122458dd6ea0b02ad2c5cc6b5d

Observation eec98a35-c211-4e54-a6b3-cb64284c0d1b · outbound

This paper cites Joint transmitter-receiver optimization in synchronous multiuser communications over multipath channels,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Joint transmitter-receiver optimization in synchronous multiuser communications over multipath channels,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:55.858186Z

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=2026-08-07T13:41:53.941290Z digest=sha256:31c226f5d3fae31968808404c093d165fc251c233536f3690ec8e1e48711847f

Observation 489c2156-73b1-4f81-b8b4-7324d004c524 · outbound

This paper cites Factor Graphs and the Sum-Product Algorithm,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Factor Graphs and the Sum-Product Algorithm,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:55.686293Z

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=2026-08-07T13:41:54.009796Z digest=sha256:9d0a426edcad5951315e26984ed18a278a39f11b5db7505dc1d12b8764fea9bd

Observation 5c753296-4e7c-405a-a921-44da11f5daf3 · outbound

This paper cites Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detec- tion,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detec- tion,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.106075Z

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=2026-08-07T13:41:54.080621Z digest=sha256:e165b98152fe5d840ad2a9c16646d3c703e2051cae37543221c298209439c96f

Observation bdebabb9-509d-46b8-84ba-6eca4d98c3c0 · outbound

This paper cites Approximate Message Passing Detector for Index Modulation With Multiple Active Resources,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Approximate Message Passing Detector for Index Modulation With Multiple Active Resources,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:59.367496Z

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=2026-08-07T13:41:54.146087Z digest=sha256:c3e28366e70c09a8969966a3fa8f8b5c256c84d1a75de83f407a9c9280fde1fc

Observation e624ab2f-6af3-4d36-a77b-fdaed81c1541 · outbound

This paper cites Expectation-Maximization Gaussian-Mixture Approximate Message Passing,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Expectation-Maximization Gaussian-Mixture Approximate Message Passing,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:55.502601Z

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=2026-08-07T13:41:54.233989Z digest=sha256:2d6c29dda9239d4b0071c6047ebd51a6fe526a901e53ba59e3adc4ca46182e38

Observation ff61c72c-6275-40c7-ac06-0c25daead8a4 · outbound

This paper cites Generalized Approximate Message Passing for Estimation with Random Linear Mixing,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Generalized Approximate Message Passing for Estimation with Random Linear Mixing,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:55.341909Z

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=2026-08-07T13:41:54.328250Z digest=sha256:0bdceabb60378736a122ef306a55b4a4dfd4cb5e83bbce62cced19d8187302c5

Observation 2d4e4a42-5868-4ced-9ce1-12cdb9a0a4e7 · outbound

This paper cites Expectation Propagation for approximate Bayesian inference.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Expectation Propagation for approximate Bayesian inference

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:41:54.485995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:41:54.485995Z digest=sha256:01bcaff4822d832b3939bfedb327f687a2be65dc4b51cca403e0131f9a244d11

Observation 8d18196d-9324-4a5d-bddb-463f8671c172 · outbound

This paper cites A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:55.172360Z

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=2026-08-07T13:41:54.599591Z digest=sha256:ce8293b4d6cb16e76584165b16c6a252329a797316b86893c3ed6f78f94e91a2

Observation 55726186-d31c-4d43-b9d3-8c6fef8fb6f1 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:41:54.686714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:41:54.686714Z digest=sha256:1a6a4a1acce61c0154ee93de63b0a7eb51a2874cc03f1553bd5c08e5cdfe9df7

Observation 2553f953-74c2-4f95-9bbd-b8082e78498f · outbound

This paper cites Near-instantaneously adaptive learning-assisted and compressed sensing-aided joint multi- dimensional index modulation,.

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink Near-instantaneously adaptive learning-assisted and compressed sensing-aided joint multi- dimensional index modulation,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:41:55.018022Z

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=2026-08-07T13:41:54.802330Z digest=sha256:85c96d4aa5199d23476460f820c53ff89592063bfea443d371ee8d39478a648f

Pith citing papers

No inbound Pith citation observations are available.