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Paper Citation Record · LEDGER

Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.02253.

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

pith.paper-citation-record.v1
2312.02253 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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:42.262444Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 59e40426-d132-4a35-8c2f-2cf84c62b365 · inbound

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data cites this paper.

Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:42.262444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:42.262444Z digest=sha256:23d65331aefa54abffb25361c7e8b9173c143780b69bf4b2be313357ec512fc4

Observation 27172c52-211f-4524-91ff-fb07fb9170c5 · inbound

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance cites this paper.

LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:53:04.992833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:53:04.992833Z digest=sha256:3dcb8819a7f8f627a953ca9a6e75f49d5d72111e157303782a32440ac5492a53

Observation eb65893e-6a89-48b8-a666-8a0a35236027 · inbound

AI-Generated Lecture Slides for Improving Slide Element Detection and Retrieval cites this paper.

AI-Generated Lecture Slides for Improving Slide Element Detection and Retrieval Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T21:40:48.444685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:40:48.444685Z digest=sha256:18194751dae959a5cc4eeac7e9dc1bb1751b88077472350f3b4a519446591dd1

Observation 59dfa8ab-967d-4eda-a942-7cf745f95948 · inbound

Stylistic Attribute Control in Latent Diffusion Models cites this paper.

Stylistic Attribute Control in Latent Diffusion Models Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-08T18:44:00.136514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T18:43:21.423012Z digest=sha256:dea6e998a14d8bdc0cc2d787473d8e03af497803ce326ef4216d1237138bf726