Paper Citation Record · LEDGER

An overview of diffusion models for generative artificial intelligence

As of 15 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.01371.

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

pith.paper-citation-record.v1
2412.01371 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:21.468649Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

54 of 54 outbound references displayed

verified exact0
verified fuzzy26
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1bdd74c-fd80-4df5-9951-9951c072b29c · outbound

This paper cites GPT-4 Technical Report.

An overview of diffusion models for generative artificial intelligence GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.222824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 360d29fc-9a11-42de-9f30-50bb7316d0c2 · outbound

This paper cites Comparison of image quality assessment: Psnr, hvs, ssim, uiqi.

An overview of diffusion models for generative artificial intelligence Comparison of image quality assessment: Psnr, hvs, ssim, uiqi

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.255960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 07109e53-c82c-4c43-ac35-43906289ec42 · outbound

This paper cites Structured Denoising Diffusion Models in Discrete State-Spaces.

An overview of diffusion models for generative artificial intelligence Structured Denoising Diffusion Models in Discrete State-Spaces

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.232927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363db55c-bb3e-4b28-9422-5e8aac6e6721 · outbound

This paper cites Learning theory from first principles.

An overview of diffusion models for generative artificial intelligence Learning theory from first principles

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.241587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39b93abb-3728-4541-83e0-41f618b54899 · outbound

This paper cites Bayesian reasoning and machine learning.

An overview of diffusion models for generative artificial intelligence Bayesian reasoning and machine learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.227447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78c05470-eb6a-43de-8169-161e45eb1788 · outbound

This paper cites Improving image generation with better captions.

An overview of diffusion models for generative artificial intelligence Improving image generation with better captions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.213056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9065bf79-a0d6-4a6c-9fae-4ae2b00d377d · outbound

This paper cites an unresolved cited work.

An overview of diffusion models for generative artificial intelligence Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:31:22.198686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41738100-5b59-442f-aec7-ad82f7738f30 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

An overview of diffusion models for generative artificial intelligence Diffusion Models Beat GANs on Image Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.256416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f637d2d1-4892-4ffb-919d-55a33a698d23 · outbound

This paper cites Derivations for linear algebra and optimization.

An overview of diffusion models for generative artificial intelligence Derivations for linear algebra and optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.184529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d344bcee-ff87-4509-8ce7-0b5b0978655f · outbound

This paper cites Deep Learning.

An overview of diffusion models for generative artificial intelligence Deep Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.170044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 371fc63c-7a9b-4f2f-8586-47896033091b · outbound

This paper cites Generative adversarial nets.

An overview of diffusion models for generative artificial intelligence Generative adversarial nets

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.156287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7aaac2c-542b-4928-8233-dbec4ff31148 · outbound

This paper cites an unresolved cited work.

An overview of diffusion models for generative artificial intelligence Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:31:22.141921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1bce4e38-d9d9-4d63-a514-01f684966777 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

An overview of diffusion models for generative artificial intelligence Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.127920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 710eb56d-e0c3-4863-96d9-3e51e139ec09 · outbound

This paper cites Denoising diffusion probabilistic models.

An overview of diffusion models for generative artificial intelligence Denoising diffusion probabilistic models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.113871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ab2758ef-472e-4d87-9801-f694b25e9b85 · outbound

This paper cites Classifier-Free Diffusion Guidance.

An overview of diffusion models for generative artificial intelligence Classifier-Free Diffusion Guidance

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.292845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76cb3767-fd8c-48b8-8e99-bf716f91536f · outbound

This paper cites Video Diffusion Models.

An overview of diffusion models for generative artificial intelligence Video Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.297436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a69699-314e-4519-ae80-ab7506c958c5 · outbound

This paper cites Image quality metrics: Psnr vs.

An overview of diffusion models for generative artificial intelligence Image quality metrics: Psnr vs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.099983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 30443328-0964-4b8b-ac3e-dadebb730afd · outbound

This paper cites Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory.

An overview of diffusion models for generative artificial intelligence Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.306388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e832f98a-c2ff-4c9b-9f37-9118d1c940f7 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

An overview of diffusion models for generative artificial intelligence Analyzing and improving the image quality of stylegan

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.086112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7f6c566-ebbb-4a11-bcbf-bcb159126899 · outbound

This paper cites DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation.

An overview of diffusion models for generative artificial intelligence DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.315265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ad22c5-f523-4660-b917-a494fc53a3df · outbound

This paper cites P., and Welling, M.

An overview of diffusion models for generative artificial intelligence P., and Welling, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.072186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3894f01d-d91d-4317-b9d4-3ddd19c7913f · outbound

This paper cites Probability theory: a comprehensive course.

An overview of diffusion models for generative artificial intelligence Probability theory: a comprehensive course

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.058831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc2694da-5671-4284-b496-a14cdc979a6e · outbound

This paper cites an unresolved cited work.

An overview of diffusion models for generative artificial intelligence Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:31:22.045166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e82d8764-2b0f-4e9b-9420-527123dc9a12 · outbound

This paper cites A tutorial on energy- based learning.

An overview of diffusion models for generative artificial intelligence A tutorial on energy- based learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.031015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e49a555b-c09e-4881-87dc-cf7863956d4c · outbound

This paper cites Diffusion-LM Improves Controllable Text Generation.

An overview of diffusion models for generative artificial intelligence Diffusion-LM Improves Controllable Text Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.337640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b524b36-49b4-4162-90a1-67527ebf9edc · outbound

This paper cites Improved Techniques for Training Score-Based Generative Models.

An overview of diffusion models for generative artificial intelligence Improved Techniques for Training Score-Based Generative Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.342571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83081946-715f-4c7f-9ff0-cb956c3b2138 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

An overview of diffusion models for generative artificial intelligence Microsoft COCO: Common Objects in Context

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.347003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bfcbe81-6b33-49ba-90dd-1ccda35a3567 · outbound

This paper cites Fully convolutional networks for semantic segmen- tation.

An overview of diffusion models for generative artificial intelligence Fully convolutional networks for semantic segmen- tation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:22.016774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf761344-a6d4-46c3-9bee-55c92a8b5795 · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

An overview of diffusion models for generative artificial intelligence Improved Denoising Diffusion Probabilistic Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.355606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a49b32-10cd-459c-b1c6-e70f03c946fb · outbound

This paper cites Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

An overview of diffusion models for generative artificial intelligence Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.360332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a7ea62a-f2f1-474d-8e7b-66f628774d2b · outbound

This paper cites Understanding SSIM.

An overview of diffusion models for generative artificial intelligence Understanding SSIM

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.364348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4e1cf8-e27c-4339-b9ed-eda5be350979 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

An overview of diffusion models for generative artificial intelligence Learning Transferable Visual Models From Natural Language Supervision

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.369006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0286b773-88cd-4b3d-9dd5-41a47d8a63c5 · outbound

This paper cites an unresolved cited work.

An overview of diffusion models for generative artificial intelligence Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:31:22.002820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96da7ef8-1931-497f-a71b-c2583993245f · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

An overview of diffusion models for generative artificial intelligence Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.378271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6805777-5f07-4aca-997c-20f2f804f611 · outbound

This paper cites Zero-shot text-to-image generation.

An overview of diffusion models for generative artificial intelligence Zero-shot text-to-image generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.989218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0a22a43e-fd1d-40be-bf5c-5167dbde44a2 · outbound

This paper cites Variational Inference with Normalizing Flows.

An overview of diffusion models for generative artificial intelligence Variational Inference with Normalizing Flows

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.387282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7e2074-f5ec-43f8-aaa5-73b9b8426e90 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

An overview of diffusion models for generative artificial intelligence High-resolution image synthesis with latent diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.974858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 748af1b9-7f9b-4160-ad04-980d1d63c8ae · outbound

This paper cites An overview of gradient descent optimization algorithms.

An overview of diffusion models for generative artificial intelligence An overview of gradient descent optimization algorithms

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.396260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b61f1cb-a069-438a-ada6-adcff67a04fe · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

An overview of diffusion models for generative artificial intelligence Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.400806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1a3b8d-ce85-4bb3-a629-0c85676894f3 · outbound

This paper cites J., and Norouzi, M.

An overview of diffusion models for generative artificial intelligence J., and Norouzi, M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.960377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e8dc8fe-cf43-4a6f-800b-298702fe3df8 · outbound

This paper cites Improved Techniques for Training GANs.

An overview of diffusion models for generative artificial intelligence Improved Techniques for Training GANs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.409153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05dc8260-9a7a-4947-8247-b5290561b15d · outbound

This paper cites Understanding machine learning: From theory to algorithms.

An overview of diffusion models for generative artificial intelligence Understanding machine learning: From theory to algorithms

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.945684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f958dad-06f5-405d-953b-e6d8113feebe · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

An overview of diffusion models for generative artificial intelligence Deep unsupervised learning using nonequilibrium thermodynamics

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.931533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 28a003a5-f2bf-4414-94b2-3084e858300a · outbound

This paper cites Denoising Diffusion Implicit Models.

An overview of diffusion models for generative artificial intelligence Denoising Diffusion Implicit Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.423908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb8a4c0-2b86-4804-a41f-a6b1e4ab6b55 · outbound

This paper cites Rethinking the inception architecture for computer vision.

An overview of diffusion models for generative artificial intelligence Rethinking the inception architecture for computer vision

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.916370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac92bb2a-3465-4abf-a5f0-4b94714913d5 · outbound

This paper cites Conditional Image Generation with PixelCNN Decoders.

An overview of diffusion models for generative artificial intelligence Conditional Image Generation with PixelCNN Decoders

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.432564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4a3e18-afd3-47ea-a46f-ad350640f759 · outbound

This paper cites N., Kaiser, L.

An overview of diffusion models for generative artificial intelligence N., Kaiser, L

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.899780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e50de65-10e4-46bb-99b1-122cdd613234 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

An overview of diffusion models for generative artificial intelligence Image quality assessment: from error visibility to structural similarity

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.885663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50f55dff-baf1-48b9-8f7e-63eec9e508d9 · outbound

This paper cites Diffusion Models for Medical Anomaly Detection.

An overview of diffusion models for generative artificial intelligence Diffusion Models for Medical Anomaly Detection

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.446505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1131925f-3bfe-4c49-b5c8-65a86946c592 · outbound

This paper cites Group Normalization.

An overview of diffusion models for generative artificial intelligence Group Normalization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.451255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182b0bc8-cbca-40bb-8015-664f030a66bc · outbound

This paper cites M., and Willcocks, C.

An overview of diffusion models for generative artificial intelligence M., and Willcocks, C

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.871213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a1bfcf6-3d12-480b-9bbe-3ebb9686f527 · outbound

This paper cites Diffusion Probabilistic Modeling for Video Generation.

An overview of diffusion models for generative artificial intelligence Diffusion Probabilistic Modeling for Video Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T04:31:21.459997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f38ca9-f867-443a-89f3-baad15c3fc62 · outbound

This paper cites A., Shechtman, E., and W ang, O.

An overview of diffusion models for generative artificial intelligence A., Shechtman, E., and W ang, O

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.856964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9a096a8-4ce4-4036-b24d-9306bf4a1922 · outbound

This paper cites Towards language-free training for text-to-image generation.

An overview of diffusion models for generative artificial intelligence Towards language-free training for text-to-image generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:31:21.841534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.