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Paper Citation Record · LEDGER

USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.09220.

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

pith.paper-citation-record.v1
2412.09220 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:54:54.448247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:40.945492Z

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 48e522d3-e329-4e63-9649-ef5674b5e102 · inbound

Towards Efficient General Feature Prediction in Masked Skeleton Modeling cites this paper.

Towards Efficient General Feature Prediction in Masked Skeleton Modeling USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T10:54:54.448247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:54:54.448247Z digest=sha256:44e7416b96179180e7efca7c7fad326d02fb3ddcf0b7efc19d3d964d96528f14

Observation d47d9a0f-6938-4e9e-969e-c193f9d17670 · inbound

Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition cites this paper.

Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:47:40.947023Z

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.

source=pdf_text observed=2026-06-27T13:08:22.860286Z digest=sha256:29745c0bc657321d88c8eece84d4276fe5d70b38188d8c1666160120edd89881