Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks | Paper Citation Record

Observation b9c99daa-f368-4453-a992-b0d43f019b1b · outbound

This paper cites A Secure and Resilient 6G Architecture Vision of the German Flagship Project 6G-ANNA,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A Secure and Resilient 6G Architecture Vision of the German Flagship Project 6G-ANNA,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.985662Z

Source-reported events for the cited work

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

Observation eea616ba-7ed5-4d6b-93d3-c4e016186c86 · outbound

This paper cites Framework and overall objectives of the future d evelopment of IMT for 2030 and beyond,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Framework and overall objectives of the future d evelopment of IMT for 2030 and beyond,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.970349Z

Source-reported events for the cited work

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

Observation 51b8b8ba-63a8-4d72-be6b-becbe59e3133 · outbound

This paper cites Multi-Agent Reinforcement Learning for Dynamic R esource Management in 6G in-X Subnetworks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Multi-Agent Reinforcement Learning for Dynamic R esource Management in 6G in-X Subnetworks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.955940Z

Source-reported events for the cited work

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

Observation 13de00d0-307a-4d42-be65-652c09850132 · outbound

This paper cites Extreme Communication in 6G: Vision and Challenges for ‘in -X’ Subnetworks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Extreme Communication in 6G: Vision and Challenges for ‘in -X’ Subnetworks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.942139Z

Source-reported events for the cited work

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

Observation f89eb1b9-3f1d-4c0d-bbbf-3d658bbe5a6a · outbound

This paper cites Towards 6G in-X subnetworks with sub-mill isecond communication cycles and extreme reliability,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Towards 6G in-X subnetworks with sub-mill isecond communication cycles and extreme reliability,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.927292Z

Source-reported events for the cited work

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

Observation 72d1138c-b3e2-4bdb-8088-f0559e16e2b1 · outbound

This paper cites Interference prediction in wireless networks: Stochastic geometry meet s recursive ﬁltering,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Interference prediction in wireless networks: Stochastic geometry meet s recursive ﬁltering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.912143Z

Source-reported events for the cited work

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

Observation f575a27d-047f-4eb9-b12d-f2ec22f011c2 · outbound

This paper cites Probabilisti c Interference Prediction for Dynamic 6G In-X Sub-Networks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Probabilisti c Interference Prediction for Dynamic 6G In-X Sub-Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.897227Z

Source-reported events for the cited work

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

Observation be6ac10f-e7a2-40ea-b51b-f3ba8754dfb7 · outbound

This paper cites Ex- perimental evidence for heavy tailed interference in the Io T,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Ex- perimental evidence for heavy tailed interference in the Io T,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.881684Z

Source-reported events for the cited work

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

Observation 2ea19ab1-d10c-41b0-b809-d324d4b3e507 · outbound

This paper cites A Nonlinear Autoregressive Neural Network for Interference Prediction and Resource Allocation in URLLC Scenarios,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A Nonlinear Autoregressive Neural Network for Interference Prediction and Resource Allocation in URLLC Scenarios,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.867339Z

Source-reported events for the cited work

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

Observation 752e29dc-f234-463a-91a3-430653523b7f · outbound

This paper cites Predictive resource allocation for URLLC us ing em- pirical mode decomposition,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Predictive resource allocation for URLLC us ing em- pirical mode decomposition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.852970Z

Source-reported events for the cited work

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

Observation 499bafa3-8c23-487d-a5f1-f52bbed48c0a · outbound

This paper cites Decomposition Based Interference Management Framework for Local 6G Netwo rks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Decomposition Based Interference Management Framework for Local 6G Netwo rks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.837326Z

Source-reported events for the cited work

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

Observation 74d8299e-a2bb-4e7f-8b27-16e658ef7315 · outbound

This paper cites Joint Model and Data-Driven Two-Stage Uplink Interference Predi ction in URLLC Scenarios,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Joint Model and Data-Driven Two-Stage Uplink Interference Predi ction in URLLC Scenarios,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.822487Z

Source-reported events for the cited work

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

Observation c9cc4dfb-5f20-4896-9f69-b504f26b379a · outbound

This paper cites A Predictive Interference Management Algorithm for URLLC in Beyond 5G Networks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A Predictive Interference Management Algorithm for URLLC in Beyond 5G Networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.807744Z

Source-reported events for the cited work

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

Observation ca4725c5-cab0-4221-baf0-99c2b976644b · outbound

This paper cites Interference prediction for low-complexity link adaptat ion in beyond 5G ultra-reliable low-latency communications,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Interference prediction for low-complexity link adaptat ion in beyond 5G ultra-reliable low-latency communications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.791652Z

Source-reported events for the cited work

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

Observation 39c89402-cfb6-403a-9d90-3acaeda2c728 · outbound

This paper cites Mathematical Modelling and Prediction of Interference Power in In-robot Subnetworks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Mathematical Modelling and Prediction of Interference Power in In-robot Subnetworks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.777167Z

Source-reported events for the cited work

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

Observation a0907224-2204-43fd-a6e0-3648743387b0 · outbound

This paper cites Deep learning for probabilistic interference predictions in mmwave netw orks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Deep learning for probabilistic interference predictions in mmwave netw orks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.761895Z

Source-reported events for the cited work

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

Observation da551ec1-4519-49bb-84a5-b3326b34c250 · outbound

This paper cites Cooperative Interference Estimation Using LSTM-Based Federated Learn ing for In- X Subnetworks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Cooperative Interference Estimation Using LSTM-Based Federated Learn ing for In- X Subnetworks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.746832Z

Source-reported events for the cited work

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

Observation 96a6d020-bb6d-4ecc-b4f7-19c3295719f3 · outbound

This paper cites Interferenc e Prediction in Unconnected In-X Mobile 6G Subnetworks Using a Data-Driv en Approach,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Interferenc e Prediction in Unconnected In-X Mobile 6G Subnetworks Using a Data-Driv en Approach,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.731965Z

Source-reported events for the cited work

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

Observation ba59760c-49d6-40ee-9766-c67de0c107bd · outbound

This paper cites Ultrareliable and low-latency wireless communication: Tail, risk, and scale,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Ultrareliable and low-latency wireless communication: Tail, risk, and scale,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:06.904850Z

Source-reported events for the cited work

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Observation cb7c0d13-7615-49a3-86f2-b8958a8ace11 · outbound

This paper cites Prediction of Rare Channel Conditions using B ayesian Statistics and Extreme V alue Theory,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Prediction of Rare Channel Conditions using B ayesian Statistics and Extreme V alue Theory,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.704970Z

Source-reported events for the cited work

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

Observation ba2bb24a-1eed-4de5-a32c-1c1edd4f0c44 · outbound

This paper cites Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:06.913565Z

Source-reported events for the cited work

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Observation 4621d303-ea64-4d1e-b0ab-9a8e80a2aba0 · outbound

This paper cites Extreme V alu e Theory- based Predictive Interference Management for 6G Subnetwor ks with Transformer,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Extreme V alu e Theory- based Predictive Interference Management for 6G Subnetwor ks with Transformer,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.690611Z

Source-reported events for the cited work

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

Observation 7e755819-d2fc-471a-93d4-83f39e01cd0b · outbound

This paper cites A 5G Trafﬁc Model for Industrial Use Cases,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A 5G Trafﬁc Model for Industrial Use Cases,

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T20:14:07.676057Z

Source-reported events for the cited work

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

Observation bbba71e4-de4b-4451-aa8b-70e41c2dfa05 · outbound

This paper cites Advanc ed frequency resource allocation for industrial wireless control in 6G s ubnetworks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Advanc ed frequency resource allocation for industrial wireless control in 6G s ubnetworks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.661258Z

Source-reported events for the cited work

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

Observation 2d11f161-ce76-443a-ad1d-afbe006f5a15 · outbound

This paper cites Enabling URLLC in 5G NR IIoT networ ks: A full-stack end-to-end analysis,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Enabling URLLC in 5G NR IIoT networ ks: A full-stack end-to-end analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.646714Z

Source-reported events for the cited work

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

Observation c66b3bf3-ed28-4124-8c64-25f74730763c · outbound

This paper cites Distribut ed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Dela y Constraint,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Distribut ed Scheduling in Multiple Access With Bursty Arrivals Under a Maximum Dela y Constraint,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.631569Z

Source-reported events for the cited work

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

Observation f421ee0a-589b-4ef7-bf0f-e9c062ad34d1 · outbound

This paper cites Service requirements for the 5G system,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Service requirements for the 5G system,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.615657Z

Source-reported events for the cited work

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

Observation 9eb52695-f76e-4d7d-88a3-88e7433a8165 · outbound

This paper cites Coexistence of Pull and Push Communication in Wireless Access for IoT Devices,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Coexistence of Pull and Push Communication in Wireless Access for IoT Devices,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.599419Z

Source-reported events for the cited work

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

Observation 1092683d-03b5-441e-9415-19214fe1c02f · outbound

This paper cites Study on communication for automation in vertic al domains (cav),.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Study on communication for automation in vertic al domains (cav),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.582485Z

Source-reported events for the cited work

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

Observation 78a263fa-4f1c-4330-b6e8-d0ca5320f836 · outbound

This paper cites Novel sum-of-s inusoids simulation models for Rayleigh and Rician fading channels,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Novel sum-of-s inusoids simulation models for Rayleigh and Rician fading channels,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.566180Z

Source-reported events for the cited work

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

Observation 14d35e69-f514-4239-9dfe-4f68385f928e · outbound

This paper cites 5G: Study on channel model for frequencies from 0 .5 to 100 GHz (3GPP TR 38.901 version 16.1.0 release 16),.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks 5G: Study on channel model for frequencies from 0 .5 to 100 GHz (3GPP TR 38.901 version 16.1.0 release 16),

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.550812Z

Source-reported events for the cited work

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

Observation 1d679eaa-5f8d-4663-b78b-7353a4596f31 · outbound

This paper cites Effects of correlated sh adowing modeling on performance evaluation of wireless sensor netw orks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Effects of correlated sh adowing modeling on performance evaluation of wireless sensor netw orks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.534932Z

Source-reported events for the cited work

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

Observation e484df0e-87a5-4884-a374-00aa4326d004 · outbound

This paper cites Inter- ference data collection with beam information for ml-based interference prediction,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Inter- ference data collection with beam information for ml-based interference prediction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.520215Z

Source-reported events for the cited work

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

Observation 47c877b2-9303-4140-9d3e-8e486c7bf470 · outbound

This paper cites Channel coding rate in the ﬁnite blocklength regime,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Channel coding rate in the ﬁnite blocklength regime,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:06.970039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d0a22cd-c652-4298-9d61-73e3afb875c5 · outbound

This paper cites Improving QoS by predictive channel quality feedback for LTE,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Improving QoS by predictive channel quality feedback for LTE,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.493876Z

Source-reported events for the cited work

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

Observation acd4c513-aae0-41f1-bab3-a49d0616b59f · outbound

This paper cites Correlat ion matrix distance, a meaningful measure for evaluation of non-stati onary MIMO channels,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Correlat ion matrix distance, a meaningful measure for evaluation of non-stati onary MIMO channels,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.475892Z

Source-reported events for the cited work

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

Observation 81e0c9f2-36d4-4063-ae0c-8a1ddabc622e · outbound

This paper cites E mpirical channel stationarity in urban environments,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks E mpirical channel stationarity in urban environments,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.461089Z

Source-reported events for the cited work

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

Observation 851d03a8-9c73-46e9-9855-6a2e942477e0 · outbound

This paper cites Distances and Riemannian metrics for s pectral density functions,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Distances and Riemannian metrics for s pectral density functions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.446131Z

Source-reported events for the cited work

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

Observation a187bf97-b216-42eb-abd8-f8d900e2d0cf · outbound

This paper cites Prob abilistic individual load forecasting using pinball loss guided LSTM ,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Prob abilistic individual load forecasting using pinball loss guided LSTM ,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.430355Z

Source-reported events for the cited work

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

Observation 0e75856e-a7f7-4f68-a453-39fa27fec327 · outbound

This paper cites Conformalized quantile regression,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Conformalized quantile regression,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:06.997523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9055c3a-c080-48dc-81cf-dd6e40402f17 · outbound

This paper cites V ovk, A.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks V ovk, A

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.404111Z

Source-reported events for the cited work

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

Observation cc5f3594-4ec0-4cf3-870b-659e5227dc81 · outbound

This paper cites Conformal prediction for time series,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Conformal prediction for time series,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.389894Z

Source-reported events for the cited work

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

Observation cd015246-1b06-48ac-8c86-2061c6230cf3 · outbound

This paper cites Conf ormal time- series forecasting,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Conf ormal time- series forecasting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.373614Z

Source-reported events for the cited work

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

Observation 02e5996e-693e-43b9-abf5-71a1a0268a50 · outbound

This paper cites A Tutorial on Conformal Predicti on.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A Tutorial on Conformal Predicti on

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.358022Z

Source-reported events for the cited work

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

Observation 9ae939fc-f2ef-4915-9314-0be584f1f2ef · outbound

This paper cites Conformal prediction interval est imation and applications to day-ahead and intraday power markets,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Conformal prediction interval est imation and applications to day-ahead and intraday power markets,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.342693Z

Source-reported events for the cited work

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

Observation 8116c419-d560-4c44-861c-f7932112e222 · outbound

This paper cites Inductive conﬁdence machines for regression,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Inductive conﬁdence machines for regression,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.326941Z

Source-reported events for the cited work

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

Observation 4e3d74ec-eebd-455a-afe9-0c29d9ea489b · outbound

This paper cites Ensemble Co nformalized Quantile Regression for Probabilistic Time Series Forecas ting,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Ensemble Co nformalized Quantile Regression for Probabilistic Time Series Forecas ting,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.309742Z

Source-reported events for the cited work

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

Observation 7abd2636-f100-4486-bb21-f88edcc2d824 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:07.034185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f8f272-aa2b-4adb-9aba-634c578b7484 · outbound

This paper cites A T ime Series is Worth 64 Words: Long-term Forecasting with Transf ormers,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A T ime Series is Worth 64 Words: Long-term Forecasting with Transf ormers,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.293748Z

Source-reported events for the cited work

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

Observation 4a64dd70-c9cd-4b0c-b2a9-8997b078d66d · outbound

This paper cites Attention is All you Need,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Attention is All you Need,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.275836Z

Source-reported events for the cited work

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

Observation 22149d6e-687b-4e0a-b294-05496b9113b5 · outbound

This paper cites R eversible instance normalization for accurate time-series forecast ing against distri- bution shift,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks R eversible instance normalization for accurate time-series forecast ing against distri- bution shift,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.261095Z

Source-reported events for the cited work

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

Observation 6024a4e3-6e90-4eb2-96cc-9411d2a0e54a · outbound

This paper cites an unresolved cited work.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:14:07.245530Z

Source-reported events for the cited work

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

Observation 45d10c73-396a-4666-90a8-0214d2369a88 · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:07.058393Z

Source-reported events for the cited work

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Observation 105d82ec-51e0-436f-a26f-acfc392ab87a · outbound

This paper cites Haan and A.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Haan and A

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.228522Z

Source-reported events for the cited work

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

Observation d073b0d5-d2b2-4362-bec2-c7a7605d07ec · outbound

This paper cites Efﬁcient parallel split learning over resource-constrai ned wireless edge networks,.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Efﬁcient parallel split learning over resource-constrai ned wireless edge networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:14:07.209838Z

Source-reported events for the cited work

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

Observation 0243994d-8025-4088-bf6b-bdd1d2d0265c · outbound

This paper cites A Survey on Activation Functions and their relation with Xavier and He Normal Initialization.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks A Survey on Activation Functions and their relation with Xavier and He Normal Initialization

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:07.072299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800e026c-c1d6-47d9-a807-f3941340edbe · outbound

This paper cites an unresolved cited work.

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T20:14:07.077003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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