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Paper Citation Record · LEDGER

Leaving Reality to Imagination: Robust Classification via Generated Datasets

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.02503.

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

pith.paper-citation-record.v1
2302.02503 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:53:04.318326Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:12:17.845685Z

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 a4e57ee1-6eac-4ffc-9576-a69a1ceab87b · inbound

Generative Data Mining with Longtail-Guided Diffusion cites this paper.

Generative Data Mining with Longtail-Guided Diffusion Leaving Reality to Imagination: Robust Classification via Generated Datasets

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T13:53:04.318326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:53:04.318326Z digest=sha256:4cd279c62bd2082ef23f6a32e51ff9ee755c277237bef4829483d8b3e6a43f17

Observation b84477ab-ff64-4428-b6b1-5bd82d927ac0 · inbound

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation cites this paper.

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation Leaving Reality to Imagination: Robust Classification via Generated Datasets

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:12:17.849438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:12:16.799204Z digest=sha256:23f82db38a1922bbf8043f3255f09265650f0b752ddb86c6e8c2cb7fd28c0de4