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Paper Citation Record · LEDGER

Computer Vision Self-supervised Learning Methods on Time Series

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.00783.

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

pith.paper-citation-record.v1
2109.00783 v4

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:09:12.761210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:43:05.392259Z

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 8a10aa7f-c6d9-4ab8-bc2f-d954ab596930 · inbound

Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning cites this paper.

Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning Computer Vision Self-supervised Learning Methods on Time Series

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T00:09:12.761210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:09:12.761210Z digest=sha256:34b94477ebaf5af4845ebc1ea27dd0ef4082bb81df5e5087fdb3ded72ebbe049

Observation 685d8ac5-8332-42a9-9086-749efe7c349f · inbound

Targeted Downstream-Agnostic Attack cites this paper.

Targeted Downstream-Agnostic Attack Computer Vision Self-supervised Learning Methods on Time Series

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:43:05.396234Z

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.

source=pdf_text observed=2026-05-20T05:42:49.437571Z digest=sha256:524d527d44023302f07284e477ca00e993b28ddff8cd14ed2ea01dac6dfea2bd