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Paper Citation Record · LEDGER

On the Design Fundamentals of Diffusion Models: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2306.04542.

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

pith.paper-citation-record.v1
2306.04542 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:36.217850Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:29:02.125102Z

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 ff16a6bd-03ce-4f03-aa78-5b30b366f4a6 · inbound

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion cites this paper.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion On the Design Fundamentals of Diffusion Models: A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:36.217850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:03:36.217850Z digest=sha256:c15185c73c5f38cb7d2778c4de75290d1e481a922f355cef6eb83ff637de4bf3

Observation 210275e8-60e1-4a53-9a6a-6c3256369d8c · inbound

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing cites this paper.

REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing On the Design Fundamentals of Diffusion Models: A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:22.378474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:22.378474Z digest=sha256:7c525dabb760ccb982ffc526ced5d8cdcfd24cec75a3a9d36849bd0d3e17e4e4

Observation 1e0de972-0b51-484d-ab9d-ef9a6b8bbbb4 · inbound

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective cites this paper.

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective On the Design Fundamentals of Diffusion Models: A Survey

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T04:38:08.385443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:38:08.385443Z digest=sha256:36eb1ca861500b268770e3fcdd8ac209672ba67798190c163b4c0deaa93b3f7a

Observation 9fd6ec95-4e6e-4659-8e81-645ef82dc8e9 · inbound

Variational autoencoder for generating realistic $N$-body simulations for dark matter halos cites this paper.

Variational autoencoder for generating realistic $N$-body simulations for dark matter halos On the Design Fundamentals of Diffusion Models: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:34.921164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:34.921164Z digest=sha256:2932e66068666b7ca066d00d71e503d9bf4dcde0e264ad0f8a32d1cd2aa71ada

Observation 4039f353-2c57-40bc-8c3d-68a11e750825 · inbound

A Diffusion-based Generative Machine Learning Paradigm for Dynamic Contingency Screening cites this paper.

A Diffusion-based Generative Machine Learning Paradigm for Dynamic Contingency Screening On the Design Fundamentals of Diffusion Models: A Survey

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:06:13.645404Z

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=2026-05-18T10:05:57.747805Z digest=sha256:abd76f412a0cba18a1c6d4a7ed159c88aaf2d30e53722c019cc07e8d6bab3f56

Observation f4087326-60f7-422d-b8dc-039b4539c5bb · inbound

Quality-Preserving Imperceptible Adversarial Attack on Skeleton-based Human Action Recognition cites this paper.

Quality-Preserving Imperceptible Adversarial Attack on Skeleton-based Human Action Recognition On the Design Fundamentals of Diffusion Models: A Survey

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:22.158829Z

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=2026-06-27T07:18:00.925914Z digest=sha256:8c3d76da92c7f37b1ac5b9b7912a85b9479cff27cfeef9ba32bc7cd306ae657e

Observation 62886048-6f0f-4d12-95db-409cee6c16e3 · inbound

Multiscale reconstruction of protein conformations from cryo-EM images cites this paper.

Multiscale reconstruction of protein conformations from cryo-EM images On the Design Fundamentals of Diffusion Models: A Survey

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:29:02.127253Z

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=arxiv_source observed=2026-06-26T22:19:50.914673Z digest=sha256:00ecc31e338beafbe1691d844d6f3bae61c81199e0b3ca5f50bb3eebbbe31291