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Paper Citation Record · LEDGER

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.10888.

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

pith.paper-citation-record.v1
2212.10888 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:58.763392Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:26:09.385616Z

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 7eba9a3a-89ca-4637-ba6a-f7502bb48819 · inbound

Curvature Enhanced Data Augmentation for Regression cites this paper.

Curvature Enhanced Data Augmentation for Regression A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:58.763392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:52:58.763392Z digest=sha256:6fd115d9fb77512cdfd017df9aaab04cd9babdc1754433d6b163315530712a47

Observation aa17d116-27a3-4406-9fe1-78d4db01e8dd · inbound

MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models cites this paper.

MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:09.397131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T09:14:03.068865Z digest=sha256:fadbc2a030e8b0f8f37442b185f0c341e43534f0ee18ab799e0dbb50ed68bed0