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Paper Citation Record · LEDGER

Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04103.

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

pith.paper-citation-record.v1
2407.04103 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:50.459783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:31:10.341845Z

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 5cb4b368-1c93-4de8-97f3-a770e56270a2 · inbound

Reading a Ruler in the Wild cites this paper.

Reading a Ruler in the Wild Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:50.459783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:53:50.459783Z digest=sha256:005d9ba359f63cb717dc2b655fc6f06a55af8680084881d561a65ad4972d0b9e

Observation d2559807-9164-4cca-9205-a73cc0deec51 · inbound

A Hybrid Approach for Closing the Sim2real Appearance Gap in Game Engine Synthetic Datasets cites this paper.

A Hybrid Approach for Closing the Sim2real Appearance Gap in Game Engine Synthetic Datasets Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:31:10.349082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T16:19:56.804245Z digest=sha256:3ff1c3e99505394e0b8a7410ee5da75b9b4ffb12307c25de8ab394d0f0e2748b