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Paper Citation Record · LEDGER

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.14558.

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

pith.paper-citation-record.v1
2104.14558 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:57.235226Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:27:02.747459Z

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 e26bfb12-99b0-4ff8-91e5-7094c69b37fa · inbound

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory cites this paper.

FRAME: Pre-Training Video Feature Representations via Anticipation and Memory A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:27:02.867254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:26:57.235226Z digest=sha256:0930d385a745a3ed49dbc6fd75d8b1af71564892f5d92a790fa715b501e0a9d5