Pith. sign in

Paper Citation Record · LEDGER

A Group-Theoretic Framework for Data Augmentation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.10905.

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

pith.paper-citation-record.v1
1907.10905 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:59:26.846624Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

76
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 78a9cd5e-2fe5-4964-a860-8aa23805f0bc · inbound

Geometrically Constrained and Token-Based Probabilistic Spatial Transformers cites this paper.

Geometrically Constrained and Token-Based Probabilistic Spatial Transformers A Group-Theoretic Framework for Data Augmentation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-04T17:04:09.087941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-04T16:59:26.846624Z digest=sha256:3c44f0ecbc168ab1b6429b5e93571615f6eb98a4228f16387e579f88f92c6d7c

Observation 4605c226-bd14-41ae-8cde-4b6596fc7bbc · inbound

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry cites this paper.

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry A Group-Theoretic Framework for Data Augmentation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T19:39:16.258722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:39:16.258722Z digest=sha256:99677c2b1bdbf4b730fd94af4d1b9da30fa9cc6a5e2b161cb6f11d241432c8f8