Pith. sign in

Paper Citation Record · LEDGER

Diffusion Models, Denoiser Architecture and Creativity

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.16415.

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

pith.paper-citation-record.v1
2605.16415 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:49:27.612822Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37143aaa-dbf2-4004-8aa9-b75ca0a8bc71 · outbound

This paper cites Cambridge University Press.

Diffusion Models, Denoiser Architecture and Creativity Cambridge University Press

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.078623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:1188d9e1c21e3290abf0391dd50927f169684ae0a1709bafdd328333de56d836

Observation 0990377e-f79f-4aa4-a6ce-7060114d66d7 · outbound

This paper cites Denoising diffusion implicit models.

Diffusion Models, Denoiser Architecture and Creativity Denoising diffusion implicit models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.095553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:49bf4bb0717b3bf809b1bf77dffd72d04299d55710e70222b8d846bd40dcde9e

Observation 7a03db9f-3767-409c-a8aa-978959da5a5b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Diffusion Models, Denoiser Architecture and Creativity U-net: Convolutional networks for biomedical image segmentation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.097258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:ec5e4ccf29e29b83c96a60a4d95b3cd117da715c95c277c01353217b23eae332

Observation ed60b148-9e67-406b-9a6a-b65cbbfab127 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

Diffusion Models, Denoiser Architecture and Creativity Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.101625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:978a13f124fffa93e99ea04eb619b1887c8deaa4fd1220e53b7a234aa967c0dd

Observation ff0a489c-4dc2-4135-bf00-c7eca6ff4267 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion Models, Denoiser Architecture and Creativity Denoising diffusion probabilistic models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.092057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:0b59ca62ca6d356f0d89a70faadc5acdd2350dab9ec62a8b351eccc50dfd1149

Observation 2868aefa-2e4d-4ad1-8ebc-c753023f3b76 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Diffusion Models, Denoiser Architecture and Creativity Elucidating the design space of diffusion-based generative models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.086620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:8793c96afb33b18400a1464717e67ec3b2ad6c4461114aef01651e2605b0e29b

Observation 18ecd5cb-09d0-48e2-b648-155f151d0bf3 · outbound

This paper cites Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Diffusion Models, Denoiser Architecture and Creativity Generalization in diffusion models arises from geometry-adaptive harmonic representations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.088412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:0ac9f993e2897e07b14465035b18a0064fb98bcee966faa476a0c38e4dca5d3b

Observation f8b05b79-bd3e-420c-97ce-47bed2cf11cf · outbound

This paper cites Unconditional cnn denoisers contain sparse semantic representation of images.

Diffusion Models, Denoiser Architecture and Creativity Unconditional cnn denoisers contain sparse semantic representation of images

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:55:06.035573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:1c5b234ee84dfa77bfe32a7e84e32f3ea9496bacad18a354497e2aec11ebe0a6

Observation a8ea889c-011c-4a4d-a92c-f3269f80c5e6 · outbound

This paper cites An analytic theory of creativity in convolutional diffusion models.

Diffusion Models, Denoiser Architecture and Creativity An analytic theory of creativity in convolutional diffusion models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.093821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:73cf51bdb0637acc2a4a3884727f77fef01774721c42c49b9b6f56559d5c53bf

Observation a0d83d0e-7703-41cc-94f7-b2d09e17e619 · outbound

This paper cites an unresolved cited work.

Diffusion Models, Denoiser Architecture and Creativity Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-07-07T15:53:55.082040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:d78a59307f102049c7c6c98b6ecacd8592df4be0375dca407a7a8660ac13602c

Observation f025ef9e-8a77-4544-a9bd-fa9b700c5b19 · outbound

This paper cites Deep learning face attributes in the wild.

Diffusion Models, Denoiser Architecture and Creativity Deep learning face attributes in the wild

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.084776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:33700ea5643ee81021ec5689cc06feeaf5633acd70a42d052948caef9e68b7d6

Observation be19be3d-9150-4200-8f44-4d055ada97c0 · outbound

This paper cites Locality in image diffusion models emerges from data statistics.

Diffusion Models, Denoiser Architecture and Creativity Locality in image diffusion models emerges from data statistics

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.090086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:399d8162666033218e3254d98a2e6041688c5daa5b067f35a857f9b01a016c63

Observation ae340fe7-354a-47ab-a948-9c737f50e08d · outbound

This paper cites Towards a mechanistic explanation of diffusion model generalization.

Diffusion Models, Denoiser Architecture and Creativity Towards a mechanistic explanation of diffusion model generalization

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.098958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:df7b2cea26124b1b0f59b7793cb49687726bf12e1794333b83a4a88c383dc458

Observation 4c90504c-2caf-42c3-b301-07e03930eb54 · outbound

This paper cites The Hidden Linear Structure in Score-Based Models and its Application.

Diffusion Models, Denoiser Architecture and Creativity The Hidden Linear Structure in Score-Based Models and its Application

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:55:06.038362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:80024017a43785638abd20e8516cb21a3911ae0a43184b47aa0e12cbd3f02992

Observation 0ce4697c-9720-4bc0-85bf-0b705a8b2136 · outbound

This paper cites When diffusion models memorize: Inductive biases in probability flow of minimum-norm shallow neural nets.

Diffusion Models, Denoiser Architecture and Creativity When diffusion models memorize: Inductive biases in probability flow of minimum-norm shallow neural nets

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:53:55.080463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T21:49:27.612822Z digest=sha256:30d389b839886f52c5a851b3d24dc4697d48783551d7899f810c723189a097d1

Pith citing papers

No inbound Pith citation observations are available.