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Paper Citation Record · LEDGER

Generating images of rare concepts using pre-trained diffusion models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.14530.

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

pith.paper-citation-record.v1
2304.14530 v3

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 2026-08-08T15:17:12.768195Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:22:24.641839Z

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 ef06e120-a922-4c2d-a341-c1d5497a5673 · inbound

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis cites this paper.

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis Generating images of rare concepts using pre-trained diffusion models

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:30:48.703571Z

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=2026-05-11T08:30:48.564596Z digest=sha256:284ec3a2d8973b13dd148522dbd4ed08b9c4ab3312b5835850087095d3de55a1

Observation 580590a5-5349-4147-8aaa-44fc1ade7d84 · inbound

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation cites this paper.

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation Generating images of rare concepts using pre-trained diffusion models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T15:17:12.768195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:17:12.768195Z digest=sha256:5898c9b68362ee596a59a9da0df52c78d337eeae29c83d82cd437ba6a033685a

Observation 084074ee-274a-48c0-a2a0-df40abc63d86 · inbound

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models cites this paper.

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models Generating images of rare concepts using pre-trained diffusion models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:06:15.181574Z

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=2026-05-08T06:41:04.597012Z digest=sha256:d1b851e2572c39111c83c69b3c41c4e361a684c4fa0ed85ed6d5c1e1426850df

Observation 7befaf7c-1ef3-4ac5-8e5b-8af1cf6c494b · inbound

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies cites this paper.

Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies Generating images of rare concepts using pre-trained diffusion models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:22:24.643391Z

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=2026-06-28T17:19:36.722892Z digest=sha256:03f794506f5e31618e5415d914c4f3f94be18bf096d64cd64962fbdeea214f45