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Paper Citation Record · LEDGER

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.08580.

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

pith.paper-citation-record.v1
2107.08580 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:29:56.996553Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:52:14.036600Z

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 8fff1a35-ee85-4737-a3ff-23136393f281 · 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 UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T16:29:56.996553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:29:56.996553Z digest=sha256:3f09fd28b24d4fe8f37a5f4cfb92ccf6aebc046c3ddb03b7d7729e381cee653e

Observation 3d8de597-38e6-4b43-a71f-51f897f56250 · inbound

A novel Framework for Open-Vocabulary Multi-Object Recognition using CLIP cites this paper.

A novel Framework for Open-Vocabulary Multi-Object Recognition using CLIP UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-15T14:07:39.892672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:07:39.892672Z digest=sha256:afd6039e495acda0c1560af9fc2bd92e43aad5be4d8e3815d7942f444b13bf15

Observation 0a10ab57-7ae1-4691-aca7-0691bcf4e80f · inbound

Towards Universal Skeleton-Based Action Recognition cites this paper.

Towards Universal Skeleton-Based Action Recognition UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:52:14.038376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T07:27:21.884164Z digest=sha256:231461655863029f0be0b9747b6b29c78de9c074bcaddd3fe3a93d6fd0fc6140