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Paper Citation Record · LEDGER

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2601.14233.

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

pith.paper-citation-record.v1
2601.14233 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:21:18.464723Z

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 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

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Source: cited_works

Reference resolution

19 of 19 outbound references displayed

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External citation measurements

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Outbound references

Observation 20ec84e0-c997-45b0-94a9-1dca99ff6122 · outbound

This paper cites A key 6G challenge and opportu- nity—connecting the base of the pyramid: A survey on rural connectiv- ity,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks A key 6G challenge and opportu- nity—connecting the base of the pyramid: A survey on rural connectiv- ity,

Reference 1

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Observation afb5d0da-f731-4594-a4bd-13363573c39e · outbound

This paper cites Evolution of high-throughput satellite systems: A vision of programmable regenerative payload,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Evolution of high-throughput satellite systems: A vision of programmable regenerative payload,

Reference 2

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Observation 3b3c05fc-29c7-410e-9c59-a9baadba905d · outbound

This paper cites Evolution of non-terrestrial networks from 5g to 6g: A survey,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Evolution of non-terrestrial networks from 5g to 6g: A survey,

Reference 3

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Observation 729aaf7d-cfe0-4c70-b0bf-667e78f7505e · outbound

This paper cites Forecasting self-similar user traffic demand using transformers in LEO satellite networks,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Forecasting self-similar user traffic demand using transformers in LEO satellite networks,

Reference 4

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Observation 10112af3-3174-4c93-9f5e-cfc87a0fee42 · outbound

This paper cites Real-time spread burst detection in data streaming,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Real-time spread burst detection in data streaming,

Reference 5

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Observation bec79e60-707c-49ac-ad84-fd3ba75a547a · outbound

This paper cites Burstdetector: Real-time and accurate across-period burst detection in high-speed networks,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Burstdetector: Real-time and accurate across-period burst detection in high-speed networks,

Reference 6

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Observation adfb9410-3ee3-4a26-835f-81cd75eb256c · outbound

This paper cites Unlocking the potential of deep learning in peak-hour series forecasting,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Unlocking the potential of deep learning in peak-hour series forecasting,

Reference 7

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source=pdf_text observed=2026-08-03T09:21:17.619783Z digest=sha256:a193ce418fb4a91618d8011f32be3068b233a1924304050710ddf7eb3c1c3d17

Observation e75fbefa-ce01-4efc-82a1-4779dea27dba · outbound

This paper cites TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting

Reference 8

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Observation 2e9be7a0-3bbf-4c2d-8408-792b895cb8b7 · outbound

This paper cites Modeling extreme events in time series prediction,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Modeling extreme events in time series prediction,

Reference 9

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Observation bfb51235-0c2e-4573-825b-f00d54f50012 · outbound

This paper cites Simple algorithms for peak detection in time-series,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Simple algorithms for peak detection in time-series,

Reference 10

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Observation 90cee427-9110-4b1c-8754-c087cdf96e28 · outbound

This paper cites On the self-similar nature of Ethernet traffic (extended version),.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks On the self-similar nature of Ethernet traffic (extended version),

Reference 11

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Observation 290e5010-33f2-4beb-9e84-4aca65fabfbb · outbound

This paper cites Wide area traffic: the failure of poisson modeling,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Wide area traffic: the failure of poisson modeling,

Reference 12

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Observation 39fd4895-9922-4df0-a2de-b43d2f69b407 · outbound

This paper cites Self-similarity in world wide web traffic: evidence and possible causes,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Self-similarity in world wide web traffic: evidence and possible causes,

Reference 13

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Observation 7c744781-db7e-4fc4-8368-13f1409d226c · outbound

This paper cites Proof of a fundamental result in self-similar traffic modeling,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Proof of a fundamental result in self-similar traffic modeling,

Reference 14

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Observation cbcf526f-97bd-4a7d-8134-5ef3dcca3622 · outbound

This paper cites Beran, Y.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Beran, Y

Reference 15

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Observation f6158f79-31b8-407c-8cc7-ff77b1bfbd6b · outbound

This paper cites A large comparison of normalization methods on time series,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks A large comparison of normalization methods on time series,

Reference 16

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Observation 7f206d74-9be2-4ab3-9a8e-aaab91c006d1 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 17

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Observation 344d95dd-5913-470e-9c86-275823344e41 · outbound

This paper cites Statsmodels: econometric and statistical modeling with python.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Statsmodels: econometric and statistical modeling with python

Reference 18

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Observation e680a6c5-82a8-4931-b9ec-9deba8767a97 · outbound

This paper cites an unresolved cited work.

Burst Aware Forecasting of User Traffic Demand in LEO Satellite Networks Unresolved cited work

Reference 19

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Pith citing papers

No inbound Pith citation observations are available.