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Paper Citation Record · LEDGER

Few-shot Image Generation with Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.03264.

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

pith.paper-citation-record.v1
2211.03264 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:06:09.118145Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:19.855589Z

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 1005d1b4-3d35-4f61-bf3d-2545cf30dfcc · inbound

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data cites this paper.

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data Few-shot Image Generation with Diffusion Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:06:09.118145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:06:09.118145Z digest=sha256:93039fdcbbbfbd254c21be4beaf832d853763d5fc5ac236ff403ef7ecbe2dbe3

Observation 0e3b8053-aeda-45e4-9d85-8f7d39ecd578 · inbound

Masked Diffusion Language Models with Frequency-Informed Training cites this paper.

Masked Diffusion Language Models with Frequency-Informed Training Few-shot Image Generation with Diffusion Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T05:46:30.030066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:46:30.030066Z digest=sha256:49c9e66edbf5825b7dd0a7cc5239680216427952f76621f60356e4905cd5eb81

Observation 0d676ec0-731d-48e0-8bc1-e3f1bcd5b3a6 · inbound

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing cites this paper.

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing Few-shot Image Generation with Diffusion Models

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:17:37.570176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T08:14:04.769153Z digest=sha256:d27edc8c966a6dba629961f1fa035fcc851948e32931e5a8df11d1f56fc685d7

Observation 00d56aec-fc36-493a-a61d-d21191ba8bc1 · inbound

Improving Combined Detection and Classification of TEM Defects via Mask-Conditioned Latent Diffusion Augmentation cites this paper.

Improving Combined Detection and Classification of TEM Defects via Mask-Conditioned Latent Diffusion Augmentation Few-shot Image Generation with Diffusion Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:19.858663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T14:44:30.455604Z digest=sha256:50d53acb7005148a8f6952a7e972a0ed844165b53646f513bc14f33f4347576b

Observation a6149c7b-a997-429f-9ecf-1acb7ae119b6 · inbound

Semi-Supervised Conditional Diffusion via Label Augmentation cites this paper.

Semi-Supervised Conditional Diffusion via Label Augmentation Few-shot Image Generation with Diffusion Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T20:21:41.732165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:21:41.732165Z digest=sha256:ca7e72bbb365cee2a6a861cd3796626e9f1b39a92537f5f8faebc037df942075

Observation 99f9b9d0-1fd3-4c69-b906-b92ce5a66574 · inbound

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift cites this paper.

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift Few-shot Image Generation with Diffusion Models

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-01T16:19:07.978429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:19:07.978429Z digest=sha256:38cba8359a04cb08a651ea4ea6dfd64e5f7041de4ae84de590f60a492157546e