Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:06:00.586640Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2505.02173.
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 2026-08-16T01:06:00.586640Z
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, observed 2026-08-15T22:16:33.967857Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T22:16:34.611774Z
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9b3aafeb-661c-4581-b072-452f3cbef6cb · outbound
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 03620376-ce99-4001-8871-b251e1737a21 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Impact of selenium nanoparticles on growth, biochemical characteristics and yield of cluster bean cyamopsis tetragonoloba,
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 4e0aec3a-e8cf-4e08-af41-0639ecb2429c · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Fire risk assessment, spatiotemporal clustering and hotspot analysis in the luki biosphere reserve region, western dr congo,
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 f243d494-5eda-4a11-aea5-1c3af89acae3 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Some methods for classification and analysis of multivariate observations,
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 ae9c0494-7fce-4f6a-8a41-a5a400f30cba · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Unresolved cited work
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 11daa96e-38d2-4011-a284-1f3886b23263 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering A fuzzy relative of the isodata process and its use in detecting compact well- separated clusters,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4f5e184-910e-4fe0-9037-a9efacfc5243 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Maximum likelihood from incomplete data via the em algorithm,
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 d32233a4-69e3-42dc-b1df-62912075c401 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering A density-based algorithm for discovering clusters in large spatial databases with noise,
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 659449aa-362d-44fd-a7ab-66af1888187b · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Dynamic programming algorithm optimization for spoken word recognition,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a0e8beb-f030-4a51-a705-0f5c32a4cba2 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Consumer segmentation based on use patterns,
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 802b8f32-3b58-4742-994b-fabdf2541f18 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Zero-inflated time series clustering via ensemble thick-pen transform,
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 09b5b595-2e64-49b7-96c8-98b443ec9836 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Co-clustering of time-dependent dat via the shape invariant model,
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 62d20e8a-d879-412d-a584-39dba265f5fc · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Correlation-based hierarchical clustering of time series with spatial constraints,
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 4c26cb42-fd38-4227-a047-6aac9f96eb8f · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Hierarchical clustering of time series data with parametric derivative dynamic time warping,
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 049b40ad-9461-483d-b56b-9a21b529a9be · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ec7231b-0be5-4e48-9edc-afdfc92ae1e6 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering On clustering multimedia time series data using k-means and dynamic time warping,
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 9a049415-f4f2-4901-98cb-e9b29d5b9772 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Solar radiation intensity probabilistic forecasting based on k-means time series clustering and gaussian process regression,
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 92f8b8cb-caf4-4685-a280-3c0680689203 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Analysis of electricity consumption pattern clustering and electricity consumption behavior,
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 dbe04caf-0e8d-4be4-ba78-f27e310255bb · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering K-means clustering of electricity consumers using time-domain features from smart meter data,
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 577345b4-cedd-4d70-b456-b6897a8f5a48 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering On Clustering Time Series Using Euclidean Distance and Pearson Correlation
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2299e4e2-fa22-4a56-8663-30b897847204 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Boehmke and B
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 49732b3d-3bd3-4b07-9406-f22d0e5a2aa2 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Fast global alignment kernels,
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 bf42614d-8a78-4975-bb8b-275186452642 · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering Clustering performance analysis using a new correlation-based cluster validity index,
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 379d51a4-8cfd-4256-8252-201644824dcc · outbound
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering A bayesian cluster validity index,
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 7dc65824-cf5f-424b-a883-f08933ced908 · inbound
4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering
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.