Pith. sign in

Paper Citation Record · LEDGER

Image Synthesis under Limited Data: A Survey and Taxonomy

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.16879.

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

pith.paper-citation-record.v1
2307.16879 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:30:16.253354Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T17:44:26.379039Z

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 2be8b351-4b48-4266-a1ff-ebe19c91dfd1 · inbound

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data cites this paper.

Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data Image Synthesis under Limited Data: A Survey and Taxonomy

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:44:26.384012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T17:44:26.022556Z digest=sha256:25959a7e69f82949bb21d819c0f5f5a1ad0b9350607f5a06687e522bab64b775

Observation fb11ffbb-9eb1-46d8-a49a-72374b92f74b · inbound

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model cites this paper.

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model Image Synthesis under Limited Data: A Survey and Taxonomy

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T23:30:16.253354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:30:16.253354Z digest=sha256:28a24537cf2a83d667d2fece1ba735e961f79923e1c03349b6b8c5375a53d271