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Paper Citation Record · LEDGER

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.02642.

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

pith.paper-citation-record.v1
2506.02642 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:24:07.564132Z

measured 51 of 51 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:29:21.402098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:42.103629Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy45
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93cb7f69-fd8c-4816-9ac5-b1c1708cf9b5 · outbound

This paper cites Intelligent reflecting surface-aided wireless communications: A tutorial,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Intelligent reflecting surface-aided wireless communications: A tutorial,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:02.722850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee92a4cf-6b97-4a01-9774-468ba70f27f9 · outbound

This paper cites Computation energy efficiency maximization for intelligent reflective surface-aided wireless powered mobile edge computing,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Computation energy efficiency maximization for intelligent reflective surface-aided wireless powered mobile edge computing,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:15.196613Z

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.

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Observation 7142da22-a5d8-4d06-9e43-0149e9adf6b6 · outbound

This paper cites Performance analysis and power allocation for covert mobile edge computing with ris- aided noma,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Performance analysis and power allocation for covert mobile edge computing with ris- aided noma,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:15.023889Z

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.

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Observation 5cd2d4d0-6d5d-4ab1-b8eb-c0496b0f8360 · outbound

This paper cites Ai-assisted network-slicing based next-generation wireless networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Ai-assisted network-slicing based next-generation wireless networks,

Reference 4

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unresolved
no resolver link, observed 2026-08-07T11:24:02.966597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:02.966597Z digest=sha256:1faa45ceef9560f6e931564ecee7dc5388f6d3ff143620587984132e72fe722a

Observation fe8fffbf-7226-4c80-87ed-4a3f57cd34dd · outbound

This paper cites Hybrid active/passive wireless network aided by intelligent reflecting surface: System modeling and performance analysis,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Hybrid active/passive wireless network aided by intelligent reflecting surface: System modeling and performance analysis,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:14.776881Z

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.

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Observation 920e7d9c-3dd9-46b9-a0fc-a0bb0b3ede93 · outbound

This paper cites Asymptotic max-min sinr analysis of reconfigurable intelligent surface assisted miso systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Asymptotic max-min sinr analysis of reconfigurable intelligent surface assisted miso systems,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:14.630072Z

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.

source=pdf_text observed=2026-08-07T11:24:03.129363Z digest=sha256:689ecbbef29a0edf2cfa3ef3dbe96e71d90f8f91654afc3fc8387fc9de33669c

Observation d2b45780-e0d1-4801-bceb-d6ac92b15c7f · outbound

This paper cites Split learning over wireless networks: Parallel design and resource management,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Split learning over wireless networks: Parallel design and resource management,

Reference 7

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unresolved
no resolver link, observed 2026-08-07T11:24:03.201319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:03.201319Z digest=sha256:dfa75e24897b512909dd4e0c4e0ee7184fadca7f3fd864db036aa833cf9abe11

Observation dc8bf4bd-2725-46dc-956b-f836322e4e09 · outbound

This paper cites Energy effi- cient resource allocation for uplink ris-aided millimeter-wave networks with noma,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Energy effi- cient resource allocation for uplink ris-aided millimeter-wave networks with noma,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:14.167235Z

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.

source=pdf_text observed=2026-08-07T11:24:03.400467Z digest=sha256:ef1a62e9e806693d4799e2d875d0cfc2926cef323cfeede86367c47471af1707

Observation a28b3b18-fd4a-4308-982a-c86a809aa2b1 · outbound

This paper cites Energy-efficient hybrid offloading for backscatter-assisted wirelessly powered mec with recon- figurable intelligent surfaces,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Energy-efficient hybrid offloading for backscatter-assisted wirelessly powered mec with recon- figurable intelligent surfaces,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:13.999175Z

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.

source=pdf_text observed=2026-08-07T11:24:03.477776Z digest=sha256:9f28bad1ea8e0982f989986a85a942530e37abe0fd19a2cc74e58850e21f8774

Observation ddcdf568-1eba-40c3-a9c4-a5c50f723ae4 · outbound

This paper cites Delay guaranteed joint user association and channel allocation for fog radio access networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Delay guaranteed joint user association and channel allocation for fog radio access networks,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:13.794067Z

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.

source=pdf_text observed=2026-08-07T11:24:03.481696Z digest=sha256:ecc8b31ce1dd35922497c54ba5bd86dffad8d19d9276cda9ac3511fdc25356b1

Observation 7c7c5d45-c55f-497f-8d52-34a712ab0f84 · outbound

This paper cites Joint active and passive beamforming design for secure ris-aided isac system,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Joint active and passive beamforming design for secure ris-aided isac system,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:13.604350Z

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.

source=pdf_text observed=2026-08-07T11:24:03.497178Z digest=sha256:6bbb2907d2398eb37237cbc32b042c3e7b0175377bf7b22b7e46dcd2609377e2

Observation 9c0943cf-5d06-4b2e-847c-f56be83c62b2 · outbound

This paper cites Decode- and-forward relaying for cooperative noma systems with direct links,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Decode- and-forward relaying for cooperative noma systems with direct links,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:13.417997Z

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.

source=pdf_text observed=2026-08-07T11:24:03.535126Z digest=sha256:fe0704b3410694289603aeb19e13c4b08c68696073704937bdfa6f185be0068a

Observation f1436371-8778-411f-aa1f-a94b0814aae4 · outbound

This paper cites Optimization of decode- and-forward relaying and ris aided miso system,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Optimization of decode- and-forward relaying and ris aided miso system,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:13.242009Z

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.

source=pdf_text observed=2026-08-07T11:24:03.597420Z digest=sha256:85e10aa943bffff969dc1d339e6d77bca2cb78dfa9903e51021c2d3b7077a938

Observation 8d37927a-c00c-40bd-806e-0e3bc0d212c5 · outbound

This paper cites Qos-balancing algorithm for optimal relay selection in heterogeneous vehicular networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Qos-balancing algorithm for optimal relay selection in heterogeneous vehicular networks,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T11:24:13.031542Z

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.

source=pdf_text observed=2026-08-07T11:24:03.656198Z digest=sha256:fb5d4f3a819a231e4dbc3331909bd85cea4f5e76f8f42d9efd472c8e3a79147e

Observation e890a3b0-5d1f-481d-b998-7ffc5ff9d958 · outbound

This paper cites Notice of violation of ieee pub- lication principles: Performance of af and df relays by employing half duplex and full duplex mode,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Notice of violation of ieee pub- lication principles: Performance of af and df relays by employing half duplex and full duplex mode,

Reference 16

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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.

source=pdf_text observed=2026-08-07T11:24:03.710447Z digest=sha256:06e1552605d39048f09a6a6ce71ecdaad1652c8fd2b256e33431ffdcff1e26e6

Observation 036152df-ef9d-4c39-b286-d4154cf6dea2 · outbound

This paper cites Successive decode-and-forward relaying with reconfigurable intelligent surfaces,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Successive decode-and-forward relaying with reconfigurable intelligent surfaces,

Reference 17

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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.

source=pdf_text observed=2026-08-07T11:24:03.777236Z digest=sha256:8a2c0dc7e7b75f4e37b48d79f52bf8e4312db08fcafa22725a774ea30049c073

Observation c86a5560-3e4d-443c-87d5-79069ab095e8 · outbound

This paper cites A hybrid relay and intelligent reflecting surface network and its ergodic performance analysis,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands A hybrid relay and intelligent reflecting surface network and its ergodic performance analysis,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.500939Z

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.

source=pdf_text observed=2026-08-07T11:24:03.837677Z digest=sha256:ae22b23c34107f89ec669a52af2482f765721a60e704a38f0d935f8928621487

Observation 3e543e54-f218-4a49-acc1-1c6c01cd2af5 · outbound

This paper cites On performance of low-power wide-area networks with the combining of reconfigurable intelligent surfaces and relay,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands On performance of low-power wide-area networks with the combining of reconfigurable intelligent surfaces and relay,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.341911Z

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.

source=pdf_text observed=2026-08-07T11:24:03.899584Z digest=sha256:7293f1944e37d117d4ede8efdc7719802a7d7be6ee471db2fe7a5934d7e7a903

Observation e5499ff5-67b3-4494-8230-c12b623eb338 · outbound

This paper cites Hybrid relay- reflecting intelligent surface-assisted wireless communications,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Hybrid relay- reflecting intelligent surface-assisted wireless communications,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:12.156696Z

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.

source=pdf_text observed=2026-08-07T11:24:03.967283Z digest=sha256:1033c68962b348d94d911eb919458170839c3b712d1d615d6e39a3d7c1940f8e

Observation 7c25744e-f6dc-47a8-8a84-f0e73c73bb79 · outbound

This paper cites Joint beam- forming and reconfigurable intelligent surface design for two-way relay networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Joint beam- forming and reconfigurable intelligent surface design for two-way relay networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.973157Z

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.

source=pdf_text observed=2026-08-07T11:24:04.065321Z digest=sha256:57ba10bfb0b58e8d676dca19c590c2709440deeb6a43c2f1bec14bc80c233181

Observation 0a058241-367c-476b-a522-e9267f9b14d9 · outbound

This paper cites Joint beamforming design for multiuser miso downlink aided by a reconfigurable intelligent surface and a relay,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Joint beamforming design for multiuser miso downlink aided by a reconfigurable intelligent surface and a relay,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.790634Z

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.

source=pdf_text observed=2026-08-07T11:24:04.205133Z digest=sha256:fcfbd697893b42151f4a2be958a917190c91c0ea8ce9d7725039a71a6730e677

Observation 6f7f85d2-3f09-409e-9735-81305a99d3df · outbound

This paper cites Weighted sum- rate maximization for reconfigurable intelligent surface aided wireless networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Weighted sum- rate maximization for reconfigurable intelligent surface aided wireless networks,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:04.324990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:04.324990Z digest=sha256:cb83bc7540fe78134de2737aad34dad7feff6c53641bcfc34184a9eb7662be82

Observation 741f87f5-915d-4c38-80b8-434c530e57e6 · outbound

This paper cites Reconfigurable intelligent surface enhanced multi-user miso symbiotic radio system,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Reconfigurable intelligent surface enhanced multi-user miso symbiotic radio system,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.599808Z

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.

source=pdf_text observed=2026-08-07T11:24:04.429898Z digest=sha256:4cbc1fd1cba14573a87ae7c596a276a7ece5f5d195fc3ebf765b793185de088d

Observation 4edc324d-547d-4f59-913e-bcb18547f820 · outbound

This paper cites Deep learning-based beamforming for intelligent reflecting surface-assisted mmwave systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Deep learning-based beamforming for intelligent reflecting surface-assisted mmwave systems,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.411143Z

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.

source=pdf_text observed=2026-08-07T11:24:04.495932Z digest=sha256:934e398b45235fa8d430b967d8dae72ec9d5a9a1ffbafae1b22e4590932c1094

Observation 63797b25-8e0d-4d0b-a684-da5e32cfcc5a · outbound

This paper cites Time-varying channel prediction for ris-assisted mu-miso networks via deep learning,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Time-varying channel prediction for ris-assisted mu-miso networks via deep learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.270416Z

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.

source=pdf_text observed=2026-08-07T11:24:04.620368Z digest=sha256:6a790e0d2f05a87e1103570851038000a8691ea6f35831dac3d0b9bf081ef18e

Observation e184959e-ddff-4710-a2b5-aca7515e912b · outbound

This paper cites Deep reinforcement learning based intelligent reflecting surface for secure wireless communications,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Deep reinforcement learning based intelligent reflecting surface for secure wireless communications,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:11.106714Z

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.

source=pdf_text observed=2026-08-07T11:24:04.708065Z digest=sha256:b11f101474193cdd960bc73edc0479c8a1f8efdc1ca60e0df10d91a39a3aa304

Observation e9ef6d0e-d1e9-4353-9a3e-43ef72b4cc41 · outbound

This paper cites Deep reinforcement learning based beamforming codebook design for ris- aided mmwave systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Deep reinforcement learning based beamforming codebook design for ris- aided mmwave systems,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.961876Z

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.

source=pdf_text observed=2026-08-07T11:24:04.783894Z digest=sha256:2644c29ce82fe83cec5ccda96ee5b74f7614f8bce27414d441fadcd9ee56b6b4

Observation 60d76d5b-e741-49ac-8836-7ed60c29e518 · outbound

This paper cites Deep reinforce- ment learning based on location-aware imitation environment for ris- aided mmwave mimo systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Deep reinforce- ment learning based on location-aware imitation environment for ris- aided mmwave mimo systems,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.798775Z

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.

source=pdf_text observed=2026-08-07T11:24:04.909779Z digest=sha256:eab4e79c3456e61fe6a4ceaadcef2e98b02a71f5e71766ac7a6ad08473bf6413

Observation dd262517-a7f8-4cd6-b9c9-31236edde2d4 · outbound

This paper cites Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.608870Z

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.

source=pdf_text observed=2026-08-07T11:24:04.992305Z digest=sha256:06507622d3b05fe3065966350f9143d7eac3d176037dbbd6ab686ea8049dbefc

Observation 1850aea5-3582-46bc-ace4-6cae97388fd9 · outbound

This paper cites Graph neural network-based joint beamforming for hybrid relay and reconfigurable intelligent surface aided multiuser systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Graph neural network-based joint beamforming for hybrid relay and reconfigurable intelligent surface aided multiuser systems,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.410110Z

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.

source=pdf_text observed=2026-08-07T11:24:05.179485Z digest=sha256:59ea8b94e982466d10ea7ff005e1a0b0ee06fe8d42cb4662b64c9e25a616b629

Observation 895c3dfa-9bce-4823-95df-7d6445645523 · outbound

This paper cites Joint phase shift and beamforming design in a multi-user miso star-ris assisted downlink noma network,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Joint phase shift and beamforming design in a multi-user miso star-ris assisted downlink noma network,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.274035Z

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.

source=pdf_text observed=2026-08-07T11:24:05.338504Z digest=sha256:8b0bcd522d034f5be8d489050ecadb7276223d4739bc9d2d70747dafa34e1260

Observation af4dc983-9a58-4fb4-8fb1-e1713441e1f3 · outbound

This paper cites Joint beamforming and reflecting design in reconfigurable intelligent surface-aided multi- user communication systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Joint beamforming and reflecting design in reconfigurable intelligent surface-aided multi- user communication systems,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:10.132732Z

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.

source=pdf_text observed=2026-08-07T11:24:05.573089Z digest=sha256:bb04a29f60c5f82570c1cc1f7c801bbf2a57f4357596b79622d1b11391669ebe

Observation fec06e00-edfd-4c65-8243-5dd60236b79a · outbound

This paper cites Deep reinforcement learning-based relay selection in intelligent reflecting surface assisted cooperative networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Deep reinforcement learning-based relay selection in intelligent reflecting surface assisted cooperative networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.986840Z

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.

source=pdf_text observed=2026-08-07T11:24:05.703943Z digest=sha256:e724b1f79d250a082ea22b97e6caf832770632407fc7c3a39e6c91f9dfe6d67a

Observation e2437042-903a-48a5-a14f-f99f4e20212e · outbound

This paper cites Low-complexity channel estima- tion and passive beamforming for ris-assisted mimo systems relying on discrete phase shifts,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Low-complexity channel estima- tion and passive beamforming for ris-assisted mimo systems relying on discrete phase shifts,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.834717Z

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.

source=pdf_text observed=2026-08-07T11:24:05.855289Z digest=sha256:952226cf8a143f54de0108c9d3db518e212ed42a668b25058cdda81484c7ee79

Observation 20a80c0f-11b7-44a4-8848-e36b2064a09d · outbound

This paper cites Codebook-based solutions for reconfigurable intelligent surfaces and their open challenges,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Codebook-based solutions for reconfigurable intelligent surfaces and their open challenges,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.698589Z

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.

source=pdf_text observed=2026-08-07T11:24:05.983784Z digest=sha256:ab9bed4b2a4ff5ec7877b73539c84670554bc1e48f876d6234c6b4c707a9dd9d

Observation 75100813-370c-4cfb-af7b-f48cb926fd92 · outbound

This paper cites Federated learning in multi-ris-aided systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Federated learning in multi-ris-aided systems,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.543767Z

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.

source=pdf_text observed=2026-08-07T11:24:06.128504Z digest=sha256:34736157e2e7d24b3e8ebbfa4c57a1f35d88226e33ab3fe3b7aee1b324f00d59

Observation 6fc3b179-8c43-49a3-9352-8034710a1f2c · outbound

This paper cites Cnn-enabled joint active and passive beamforming for ris-assisted mu-mimo systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Cnn-enabled joint active and passive beamforming for ris-assisted mu-mimo systems,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.399948Z

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.

source=pdf_text observed=2026-08-07T11:24:06.245532Z digest=sha256:a15aa7440e95aee4f4eb77835f36e9b73b6b8947d5b22683911be10228f93303

Observation 86cae082-9c01-41ca-a6af-d31fb85baad6 · outbound

This paper cites Unsupervised learning- based joint active and passive beamforming design for reconfigurable intelligent surfaces aided wireless networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Unsupervised learning- based joint active and passive beamforming design for reconfigurable intelligent surfaces aided wireless networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.264492Z

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.

source=pdf_text observed=2026-08-07T11:24:06.363708Z digest=sha256:35c7845ce8f3f3652e5ed4ae446322335a09dadeac7bbaf4f13b31842f370ab6

Observation 0d66e98d-dfab-4899-8a3f-bc12008c9de3 · outbound

This paper cites A deep learning scheme for integrated active and passive beamforming in reconfigurable intelligent surface aided wireless miso networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands A deep learning scheme for integrated active and passive beamforming in reconfigurable intelligent surface aided wireless miso networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:09.096885Z

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.

source=pdf_text observed=2026-08-07T11:24:06.477160Z digest=sha256:67d6789a868e5e5e54884cfb1de1621f84fbd990efab951df5131c0f163e477b

Observation 96d3690f-3c16-445b-86a5-0f7d895bede8 · outbound

This paper cites Joint trajectory and passive beamforming design for intelligent reflecting surface-aided uav commu- nications: A deep reinforcement learning approach,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Joint trajectory and passive beamforming design for intelligent reflecting surface-aided uav commu- nications: A deep reinforcement learning approach,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.956073Z

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.

source=pdf_text observed=2026-08-07T11:24:06.586605Z digest=sha256:ad0bac1835ddc27a7d0046c1228c9ab8f4adb022056f6f743bd5ebd5906a6eef

Observation 3f98ebf3-9aff-4efd-85fe-dac481051e7d · outbound

This paper cites Relay-assisted transmission with fairness constraint for cellular networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Relay-assisted transmission with fairness constraint for cellular networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.751950Z

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.

source=pdf_text observed=2026-08-07T11:24:06.697529Z digest=sha256:a05d2fb9b6c78499e1570b004f4020d98163e543792ebb643c259e2f718a698a

Observation c78fd217-936d-4e9b-b767-d76d0eaa2eb1 · outbound

This paper cites Medium access with adaptive relay selection in cooperative wireless networks,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Medium access with adaptive relay selection in cooperative wireless networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.607315Z

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.

source=pdf_text observed=2026-08-07T11:24:06.786578Z digest=sha256:9f914d004fbc8d3543378385bd865887736ee3a165e9b47183df355dc4092010

Observation 5d2afc1c-7034-4677-bb69-5a81d2d26a55 · outbound

This paper cites Hybrid relay and reconfigurable intelligent surface assisted multiuser miso systems,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Hybrid relay and reconfigurable intelligent surface assisted multiuser miso systems,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.454772Z

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.

source=pdf_text observed=2026-08-07T11:24:06.852092Z digest=sha256:b5c5c63fdf1ab06c3f987016d59fef2d29e7c961c768959da40f2d7ac3d18fa7

Observation d11752a3-f520-4ed1-8221-eede2b3d1aac · outbound

This paper cites Large intelligent surface-assisted wireless communication exploiting statistical csi,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Large intelligent surface-assisted wireless communication exploiting statistical csi,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:14.408183Z

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.

source=pdf_text observed=2026-08-07T11:24:06.926965Z digest=sha256:2e4d7038af9cb8f6372e72ed3ceb19c98489ed1dea61ffc99f3aa75efd099d1b

Observation ed58ded7-651d-4483-9a59-ca5e9c09d29e · outbound

This paper cites Intelligent reflecting surface-assisted cognitive radio system,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Intelligent reflecting surface-assisted cognitive radio system,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.324460Z

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.

source=pdf_text observed=2026-08-07T11:24:07.063847Z digest=sha256:4d30659ee83b3498ea00e5cb21b4cfcd269ca7aa6717eb1eb78719147fc7ca68

Observation 518f882b-4f34-448f-91db-cd1038d94dbb · outbound

This paper cites PySwarms, a research-toolkit for Particle Swarm Optimization in Python,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands PySwarms, a research-toolkit for Particle Swarm Optimization in Python,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.156485Z

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.

source=pdf_text observed=2026-08-07T11:24:07.172302Z digest=sha256:480154897c4e98af30481de4904fad86dda2c3f3fe7023a3efe51df41c81f341

Observation 72823637-e854-435a-addf-4f0efbf7957f · outbound

This paper cites Stacked intelligent metasurfaces for efficient holographic mimo communications in 6g,.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Stacked intelligent metasurfaces for efficient holographic mimo communications in 6g,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:08.003547Z

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.

source=pdf_text observed=2026-08-07T11:24:07.368088Z digest=sha256:052e48c909a954d7cb556713cdcffc063ab146c84e2cf2e4c46d77fdc8eb5d51

Observation b807e4a4-19d0-423f-959b-63adc77a5c71 · outbound

This paper cites He is currently a Professor with the School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands He is currently a Professor with the School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.745692Z

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.

source=pdf_text observed=2026-08-07T11:24:07.564132Z digest=sha256:0cd88aef6ad4d604e0fa950c3b946e8d6f19187eb7d00d29eae5ab2f043a77fb

Observation ecc2851b-8861-4f70-a8c1-3eb0541e702d · outbound

This paper cites His research interests in- clude biomedical signal processing, wireless sensor networks, biometrics, and machine learning.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands His research interests in- clude biomedical signal processing, wireless sensor networks, biometrics, and machine learning

Reference 2004

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:07.880606Z

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.

source=pdf_text observed=2026-08-07T11:24:07.479649Z digest=sha256:a3f20fc868ee9acac49440ed98d75e8d6acee949ea28680c268919d4cf59cacb

Observation c2c98ec6-aac2-4627-af8f-8daf9a51d76a · outbound

This paper cites Available: https://doi.org/10.21105/joss.00433.

Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands Available: https://doi.org/10.21105/joss.00433

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:07.273899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:07.273899Z digest=sha256:dce5a47048d7655267be074f3ffd0e1e9e70c921eef216df681e2d5ed359bc22

Pith citing papers

Observation efbc97fb-87b6-4b63-a120-eff1ef8f8710 · inbound

Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models cites this paper.

Optimization Algorithms for Joint OFDM Waveform Design and RIS Configuration in 6G Networks: From Convex Relaxation to Foundation Models Joint Optimization based on Two-phase GNN in RIS- and DF-assisted MISO Systems with Fine-grained Rate Demands

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:42.105050Z

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.

source=pdf_text observed=2026-07-01T05:29:21.402098Z digest=sha256:f98b97bebc6e062f045f31d1293b5124937a806965b3c1e9285f5fb32277f73f