Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.03065.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:29:56.709337Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T11:51:03.595151Z
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 0056620b-7f2e-412b-b352-94e520109eb7 · inbound
DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation cites this paper.
DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:29:56.709337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba381d70-0494-44de-af1f-dc757183f0d3 · inbound
Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors cites this paper.
Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:51:03.599580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.