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Paper Citation Record · LEDGER

Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.02545.

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

pith.paper-citation-record.v1
1811.02545 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:04.258826Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T14:34:24.541924Z

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 cb003dd5-dd72-4018-9453-4ca39edfa966 · inbound

YOLOv4: Optimal Speed and Accuracy of Object Detection cites this paper.

YOLOv4: Optimal Speed and Accuracy of Object Detection Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:10:53.801687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T14:34:24.456280Z digest=sha256:ed66b8202ef743a8114eb8ef9ddae60c20f8a527f78e750c2230ab1e25d33bb0

Observation 0df9680b-b161-40a5-bd31-9e3169000ee4 · inbound

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction cites this paper.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:04.258826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.258826Z digest=sha256:96c0c48e0cb7f38ce8068807a2f674325b0933c4b91461edf6bd2dcd14afe1f9