Pith. sign in

Paper Citation Record · LEDGER

Learning to Compose Domain-Specific Transformations for Data Augmentation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1709.01643.

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

pith.paper-citation-record.v1
1709.01643 v3

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:52:27.035788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T17:07:12.594337Z

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 e3903779-e097-42a7-9dcf-c6d047dc2a21 · inbound

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems cites this paper.

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems Learning to Compose Domain-Specific Transformations for Data Augmentation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T00:52:27.035788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:52:27.035788Z digest=sha256:17b181485593bd9bcdc035df3a83b6d7afdee84312ab8ec42f66acadfca4bd9f

Observation 3e0a9c34-bc72-43ec-b83f-a2592804db0d · inbound

Covariance Shrinkage via Stochastic Interpolation cites this paper.

Covariance Shrinkage via Stochastic Interpolation Learning to Compose Domain-Specific Transformations for Data Augmentation

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-07-02T17:07:12.595760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T22:13:31.403933Z digest=sha256:8b32790859a04e83b92d96d3c050c493dec7dbe5063062b251ce3b2e9b13ee0a