Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.15330.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:31:33.729147Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:59:52.178411Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 522852f7-72a0-46bf-9873-0956d567d99b · inbound
Causal Discovery for Irregularly Time Series with Consistency Guarantees cites this paper.
Causal Discovery for Irregularly Time Series with Consistency Guarantees Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:52:08.404348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f59086d2-6778-43c1-94c2-5af3bfd46c68 · inbound
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices cites this paper.
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:31:33.729147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 686e2f0f-7fdc-4ffa-8197-c3028ee82a79 · inbound
Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection cites this paper.
Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T12:59:52.179761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.