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Paper Citation Record · LEDGER

PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.05775.

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

pith.paper-citation-record.v1
2208.05775 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:32:15.168515Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T16:32:16.476210Z

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 60f0e876-972f-4828-96c6-42529abad5ec · inbound

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision cites this paper.

SMART-Vision: Survey of Modern Action Recognition Techniques in Vision PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:32:16.480987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T16:32:15.168515Z digest=sha256:f080d4ba165483dec6bf76005263c376b209f5ebb923cba0e999b176f0595db2

Observation fe6345d2-a8bf-4dc6-b394-768dde6ab51e · inbound

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions cites this paper.

Learning Emotion from Motion: Kinetic Multi-Stream Skeleton Modeling with Metadata-Conditioned Weak Label Distributions PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T19:01:14.923711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:01:14.923711Z digest=sha256:0607e99e3e7a86c4d3baaaef88695f592fea86cab9181136594ae8ab3ebd6228