Paper Citation Record · LEDGER

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2501.11704.

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

pith.paper-citation-record.v1
2501.11704 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:04:29.175346Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:14:06.913565Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:02:05.618925Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy16
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23eabab1-beef-4b1e-9fd1-b8b13f0d573d · outbound

This paper cites Extreme ultra-reliable and low-latency communication,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Extreme ultra-reliable and low-latency communication,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.485439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c6a9b83-e6b2-4d56-8f6a-99bc67287803 · outbound

This paper cites QoS prediction-based radio resource manageme nt,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory QoS prediction-based radio resource manageme nt,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.470341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fb78046-39f1-4dd6-83f0-9daf874901b1 · outbound

This paper cites Radio resource management in NB -IoT systems: Empowered by interference prediction and ﬂexible duplexing,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Radio resource management in NB -IoT systems: Empowered by interference prediction and ﬂexible duplexing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.455538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9895b0b4-05bc-45c1-9de0-df07695319ec · outbound

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

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Interference prediction in wireless networks: Stochastic geometry meet s recursive ﬁltering,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.438456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66994a46-9c03-4735-ae71-07fa63d1c06f · outbound

This paper cites Sense-and -predict: Harnessing spatial interference correlation for cognitiv e radio networks,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Sense-and -predict: Harnessing spatial interference correlation for cognitiv e radio networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.420829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70f372cf-4c84-47b1-9348-9414746888f7 · outbound

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

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Interference prediction for low-complexity link adaptat ion in beyond 5G ultra-reliable low-latency communications,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.403330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c553d537-a1c7-4ee3-8593-cdd75af9b580 · outbound

This paper cites A predictive interference management algorithm for URLLC in beyond 5G networks,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory A predictive interference management algorithm for URLLC in beyond 5G networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.386254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4bc5d04-9b79-4e10-a6c9-c59e7df918d6 · outbound

This paper cites Rel iable interference prediction and management with time-correla ted trafﬁc for URLLC,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Rel iable interference prediction and management with time-correla ted trafﬁc for URLLC,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.370924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a0c6ce9-4531-40bd-8792-0557ba43b695 · outbound

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

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Ultrareliable and l ow-latency wireless communication: Tail, risk, and scale,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.356559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55ee2a02-2d08-4976-946a-c0326015085e · outbound

This paper cites Wireless channel modeling ba sed on extreme value theory for ultra-reliable communications,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Wireless channel modeling ba sed on extreme value theory for ultra-reliable communications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.341137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c57cc2df-db2c-49d5-a051-d23f4d713010 · outbound

This paper cites Multivariate extreme value theory based channel m odeling for ultra-reliable communications,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Multivariate extreme value theory based channel m odeling for ultra-reliable communications,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.326746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e58a68a8-7701-4078-ae40-4809fbb76b69 · outbound

This paper cites Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Prediction of Rare Channel Conditions using Bayesian Statistics and Extreme Value Theory

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:04:29.225195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d9c303a5-0ade-47a1-92a8-4676cf7d925f · outbound

This paper cites A review of extreme value threshold estimation and uncertainty quantiﬁcation,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory A review of extreme value threshold estimation and uncertainty quantiﬁcation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.309153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd0408bf-4c19-4172-99dd-596f7cecdf3e · outbound

This paper cites Coles, J.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Coles, J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.291653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fbab11c4-7dd8-4930-b72b-62ffa6beeed9 · outbound

This paper cites Kernel de nsity estimation via diffusion,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Kernel de nsity estimation via diffusion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.275310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6ac3a6e-6647-4cc4-86ea-357cf1fb0769 · outbound

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

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Channel codin g rate in the ﬁnite blocklength regime,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.257784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31a48808-389c-45f7-92b3-dc1996b28c31 · outbound

This paper cites Resource allocation and HAR Q optimiza- tion for URLLC trafﬁc in 5G wireless networks,.

Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory Resource allocation and HAR Q optimiza- tion for URLLC trafﬁc in 5G wireless networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:04:29.241624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 3ca0a333-ecfa-470e-ad1b-8dd88ac5048a · inbound

Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning cites this paper.

Towards Ultra-Reliable 6G in-X Subnetworks: Dynamic Link Adaptation by Deep Reinforcement Learning Ultra-High Reliability by Predictive Interference Management Using Extreme Value Theory

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:02:05.680359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

Extreme Value Theory-based Distributed Interference Prediction for 6G Industrial Sub-networks cites this paper.

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

Unavailable: canonical work link unavailable.