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Paper Citation Record · LEDGER

DAGAM: Data Augmentation with Generation And Modification

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.02633.

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

pith.paper-citation-record.v1
2204.02633 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:37.284791Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T22:17:47.735060Z

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 f338ce1e-4f3a-4453-9a37-0b07c3278872 · inbound

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey DAGAM: Data Augmentation with Generation And Modification

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:37.284791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:37.284791Z digest=sha256:cf96dfedf4356bf5f5fb9a68071f896769ef5d8bcdd88ab8c907ada15ec5309b

Observation 0b1d6b39-f0c5-4ac0-9b94-c0d6163d11ea · inbound

Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities cites this paper.

Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities DAGAM: Data Augmentation with Generation And Modification

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:17:47.741170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:17:46.674186Z digest=sha256:41729d72ac02602def49354ebf1719dcf15296ce470f6d5bed971017e0f1182e