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Paper Citation Record · LEDGER

Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.09148.

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

pith.paper-citation-record.v1
1909.09148 v2

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:29:01.855069Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:24:32.501124Z

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 f74148aa-3c57-4ac6-8b75-b62e597df654 · inbound

When Dynamic Data Selection Meets Data Augmentation cites this paper.

When Dynamic Data Selection Meets Data Augmentation Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T04:29:01.855069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:29:01.855069Z digest=sha256:f9d9e7594d689a51d8a1ec68950dd1057b2f14628d3fe54c9f1e2e5a7ce9792c

Observation 1399e710-d543-4616-8004-fc30fc697b00 · inbound

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles cites this paper.

Assessing the Operational Impact of Poisoning Attacks over Augmented 3D Point Cloud Public Datasets for Connected and Autonomous Vehicles Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-08T04:24:32.503419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-08T04:23:30.131507Z digest=sha256:92ce24bac365dd7ee77642c754e697c69a25fc058f20de60aa98adc8765dc7b9