Pith. sign in

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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:55:11.398352Z

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 68b1e04f-dce7-4b2a-829f-10222baf50ce · inbound

A framework for river connectivity classification using temporal image processing and attention based neural networks cites this paper.

A framework for river connectivity classification using temporal image processing and attention based neural networks Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-09T18:55:11.398352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:55:11.398352Z digest=sha256:dec235aa942071d8fd397e5c5ec40ff33150110c667f539528d03df7623cb857

Observation 70486406-33fb-4fcc-9ba4-ac5ecd4db055 · inbound

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation cites this paper.

DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T05:06:30.174003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:06:30.174003Z digest=sha256:1d72b4fb62cfffce11b513a0f309231ab46dbec580cc8a19fd4dc9e2fb38cb00

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=sha256:65783ba862a9fa3629b1eb4c61e8bd5c33ba5f698850b5760827942bc5811d10

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T16:19:56.804245Z digest=sha256:35af8150bb6149ba67a0c7760d2e921fd44be6a7dff3839f67a353cbe755b830