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Paper Citation Record · LEDGER

Self-Supervised Real-time Video Stabilization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.05980.

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

pith.paper-citation-record.v1
2111.05980 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:13:49.718150Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:10:09.933663Z

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 4c6a4b62-459a-4ccd-9ffc-03dab6a35be7 · inbound

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization cites this paper.

Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization Self-Supervised Real-time Video Stabilization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T16:13:49.718150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:13:49.718150Z digest=sha256:c77e41220e7635847164c833fad3fe55cf3daa35b3fd8598cf204b67e0eb2d9d

Observation 039a6861-baee-4b45-96ba-7585bd4fcbc5 · inbound

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction cites this paper.

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction Self-Supervised Real-time Video Stabilization

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:10:09.937044Z

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=2026-08-05T12:10:08.986414Z digest=sha256:8a4f4b1d212a1b103295fb1f420fde41837dfdfe001be9acdbbd889c8590470d