Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:17:29.596158Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1909.01725.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:17:29.596158Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 36b968c9-ed61-46eb-984b-013affa9c6c2 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Finally, in Sec
Reference 1
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.
Observation a8b6d2f6-a132-453d-9026-916c8aef2118 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 2
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.
Observation 6b16bc70-b29d-4fe3-83dc-bc92c26251ee · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 3
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.
Observation d002a848-3ffa-4ddc-8afb-b777d93990fb · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 4
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.
Observation 74d477c9-cfa9-4984-977e-2ba283788b9c · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution In this case, noting that F−1(y) = exp ( m + √ 2s erf−1(2y− 1) ) (Table I), and that Φ(xG) is given in Eq
Reference 5
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.
Observation bec5e534-af0c-4d00-bf7e-5bdef9eaca4a · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution However, there is no analytical solution of the integral in Eq
Reference 6
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.
Observation c7cde9e2-5d6b-4daa-8afb-4da715149532 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution As can be seen in Table II, the standardized forms of the Weibull and Pareto distributions have shape parameters, δ and ε respectively, which control the tail behavior
Reference 7
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.
Observation 90d18f1d-bdfb-4221-b496-c32d10372adb · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 8
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.
Observation ad5f0221-4a93-4cd1-92f4-b2a243932246 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Likenkaer-Hansen, V
Reference 9
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.
Observation 39c5d4c1-7a66-4b2a-9c95-b6fe10b8116b · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 10
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.
Observation 94a20628-4999-44a2-92fb-3f4cafb12e20 · outbound
Reference 11
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.
Observation cba60814-1ab5-45c4-b0b4-91959d629034 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 12
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.
Observation 76d55c82-8aeb-4e87-a2d9-f128041fd194 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 13
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.
Observation 6524b01e-37eb-4080-b55b-dca28c7d361f · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 14
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.
Observation 314cb06e-36b8-4117-acd9-6e143294502a · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 15
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.
Observation 58154747-7583-4d96-b78d-78d48f95bb67 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 16
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.
Observation 81159177-5f36-48a7-8ea4-62f5922c7fdd · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Lovejoy and B.B
Reference 17
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.
Observation d8bbac28-d136-4e69-832f-e302b42aae00 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Bartos and I .M
Reference 18
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.
Observation 9ae43a55-26ae-4ff1-988b-b0a0579fd559 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 19
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.
Observation cff3ecee-cdee-4635-82c0-fd17ba79dc13 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 20
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.
Observation 0640b4f4-17ca-434e-82cc-8ba8224ab4ab · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 21
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.
Observation afb8d357-b986-4b18-b851-f6f9b3965a19 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 22
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.
Observation fa2f71e5-5250-4e3e-8b5f-0ad83e1bbb00 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Bernaola-Galvan, J
Reference 23
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.
Observation 9a6b2a37-2e24-4b89-be88-d8a95d0defdf · outbound
Reference 24
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.
Observation 71a59050-da24-4850-a6c8-8e27a04c5986 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Schreiber and A
Reference 25
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.
Observation 8312d8ba-6af9-4d70-8b9c-66e4e5e0ad1e · outbound
Reference 26
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.
Observation 24b36d3d-d543-4b0e-abe0-d10df87f5545 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 27
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.
Observation fd04899b-1b9b-4c3b-be45-ffcc7ad7aa89 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 28
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.
Observation 1d23446f-b01d-4174-97cf-3643e2b5770e · outbound
Reference 29
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.
Observation bb746aae-bb45-4aeb-aa9d-2b4dc6ebc880 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 30
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.
Observation 977a9343-47bf-47c1-968a-eeb27e5e65d0 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 31
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.
Observation 88af1d41-22cf-4b1b-b25b-5540a920a243 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 32
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.
Observation e8e1a0eb-c945-4ab1-a90e-7d0aa4b9d150 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 33
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.
Observation cc1bd0f2-5546-4400-a894-ca329d2541ed · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Kugiumtzis and E
Reference 34
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.
Observation 658a5abf-feba-4938-91d2-af84b6dabb04 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 35
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.
Observation 9fe4503d-8941-405c-9992-ccec1d48e6ed · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 36
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.
Observation bbe2d041-d98d-4b51-a946-05b39f1a9ef4 · outbound
Reference 37
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.
Observation a159aa1e-e4ff-45be-96b0-35c3a592a6e6 · outbound
Reference 38
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.
Observation dccccb61-3f99-40fe-a6b9-d8bd12712f1d · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 39
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.
Observation 3305738d-38b4-454c-b776-d659e4f7eb60 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Statistics for Long-Memory Processes, (Chapman and Hall/CRC, 1998)
Reference 40
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.
Observation 7227c845-4a8e-466e-8fdb-eaa5d0287ebe · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 41
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.
Observation a5a8b643-2b9d-4e3b-8a53-18a7b08124e0 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Carretero-Campos, P
Reference 42
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.
Observation a68ddd4a-69aa-43ac-9022-761501bdcad8 · outbound
Reference 43
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.
Observation e784c22c-bf39-400c-9bdc-aa2b1b2d7e30 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 44
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.
Observation 3238f358-ad78-4b74-846c-20828eee8bdb · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution G´ omez-Extremera, P
Reference 45
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.
Observation ac07f20a-d269-460d-95a2-8cc96ba36c6e · outbound
Reference 46
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.
Observation 02b4c08d-b223-4b92-a43c-e0707e2e8c48 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 47
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.
Observation a2e974f8-91ff-42a0-9d7e-0b98c57259ee · outbound
Reference 48
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.
Observation a06c340d-260f-4a4d-938e-bf5017dc5768 · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 49
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.
Observation 72a08216-8dfc-4a7c-be6b-73fbe6ddeb0b · outbound
Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution Unresolved cited work
Reference 50
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.
Observation d7f2dc7c-d5df-4c4e-ac3e-56f46cac8b54 · outbound
Reference 51
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.
Observation aed4caa7-23a2-406b-933c-0afdff7a018c · outbound
Reference 52
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.
Observation a57e335f-15b7-4ff6-b474-77781c8ad7d4 · outbound
Reference 53
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.
No inbound Pith citation observations are available.