Paper Citation Record · LEDGER

Modelling Loss of Complexity in Intermittent Time Series and its Application

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.14635.

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

pith.paper-citation-record.v1
2411.14635 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:08:40.494231Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy10
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 648afd6c-33f8-418e-a415-c7b8c7e88665 · outbound

This paper cites Faust, N.

Modelling Loss of Complexity in Intermittent Time Series and its Application Faust, N

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:41.205980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 77b61184-cfa1-4c97-bb29-74af20a33601 · outbound

This paper cites Again, 52 new time series are generated from the latest seasonal ARIMA processes.

Modelling Loss of Complexity in Intermittent Time Series and its Application Again, 52 new time series are generated from the latest seasonal ARIMA processes

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.624201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 717f6024-db4e-4cbc-a809-94966c13fa41 · outbound

This paper cites ρp   =   1 ρ1 ρ2 · · ·ρp−1 ρ1 1 ρ2 · · ·ρp−2 ρ2 ρ1 1 · · ·ρp−3.

Modelling Loss of Complexity in Intermittent Time Series and its Application ρp   =   1 ρ1 ρ2 · · ·ρp−1 ρ1 1 ρ2 · · ·ρp−2 ρ2 ρ1 1 · · ·ρp−3

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:41.037076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a211f6ba-9393-4597-9251-d5815cba24af · outbound

This paper cites an unresolved cited work.

Modelling Loss of Complexity in Intermittent Time Series and its Application Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:08:41.022197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2fafb0c-48b4-4fe1-a521-e196aa8a8199 · outbound

This paper cites (25) Let ˆm = arg min σ2 λ(m), we haveσ2 0( ˆmλ)/σ2 0(m0) → 1 almost surely.

Modelling Loss of Complexity in Intermittent Time Series and its Application (25) Let ˆm = arg min σ2 λ(m), we haveσ2 0( ˆmλ)/σ2 0(m0) → 1 almost surely

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.867977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 62abd7d7-9fc3-4ed3-8011-32a811c3b754 · outbound

This paper cites 1 n nX i=1 P (i ̸∈ S(m)) # , (39) = Op.

Modelling Loss of Complexity in Intermittent Time Series and its Application 1 n nX i=1 P (i ̸∈ S(m)) # , (39) = Op

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.807383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6d19991c-8f2c-456c-80d2-3ab93ce0f21f · outbound

This paper cites Forany x, y∈ [0, 1], denoteγ1(x, y) = R 1 0 [K J h (x∗, y)− R 1 0 K J h (x∗, y∗)g1(y∗)dy∗]dx∗/g1(x).

Modelling Loss of Complexity in Intermittent Time Series and its Application Forany x, y∈ [0, 1], denoteγ1(x, y) = R 1 0 [K J h (x∗, y)− R 1 0 K J h (x∗, y∗)g1(y∗)dy∗]dx∗/g1(x)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.782948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d9e7208b-556d-4c9c-a304-544aa79ef67e · outbound

This paper cites Proof of Theorem 3.1.Following the Theorems A.6 – A.9 in Hong and White (2005), one can extend their theory to multivariate U-statistics with boundedm.

Modelling Loss of Complexity in Intermittent Time Series and its Application Proof of Theorem 3.1.Following the Theorems A.6 – A.9 in Hong and White (2005), one can extend their theory to multivariate U-statistics with boundedm

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.766978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8cb09fb-6dcb-4aef-83bd-b5c0283a1a16 · outbound

This paper cites The indices ofi, jhave at mostO(m) and O(m) choices respectively givenm < M.

Modelling Loss of Complexity in Intermittent Time Series and its Application The indices ofi, jhave at mostO(m) and O(m) choices respectively givenm < M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.710182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 51d1c4da-b110-4aee-8412-5352f61e49da · outbound

This paper cites gold standard.

Modelling Loss of Complexity in Intermittent Time Series and its Application gold standard

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:41.159375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d3757af-f0d3-4da8-9cef-f84fdeefc5c5 · outbound

This paper cites an unresolved cited work.

Modelling Loss of Complexity in Intermittent Time Series and its Application Unresolved cited work

Reference 314

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:08:40.966352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 44a1a2a6-e881-4f60-b5c4-6d3570b59b7c · outbound

This paper cites an unresolved cited work.

Modelling Loss of Complexity in Intermittent Time Series and its Application Unresolved cited work

Reference 568

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:08:41.144643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc8a64bc-a0fa-4945-9a15-9394c05975df · outbound

This paper cites Next, we introduce the conditions used in our proof.

Modelling Loss of Complexity in Intermittent Time Series and its Application Next, we introduce the conditions used in our proof

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:08:40.880678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.