Paper Citation Record · LEDGER

Generative Models: Principles, Architectures, and Applications

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.08101.

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

pith.paper-citation-record.v1
2608.08101 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:31:34.739092Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

verified exact4
verified fuzzy8
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a4733de-bb04-4e28-99ba-22c838b2cc31 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Generative Models: Principles, Architectures, and Applications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.607604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe6ac2f-e6ac-40a9-a013-2da58ce8a15b · outbound

This paper cites Query-key normalization for transformers.

Generative Models: Principles, Architectures, and Applications Query-key normalization for transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.485653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae2b678f-4e10-44fb-b324-f0ae1a50cc8e · outbound

This paper cites If you use this software, please cite it as below.

Generative Models: Principles, Architectures, and Applications If you use this software, please cite it as below

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.628796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f64df5a-3468-4443-8de5-275ab754fc80 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generative Models: Principles, Architectures, and Applications Adam: A Method for Stochastic Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.632938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd543dd1-84b5-4050-b892-2893c2503ee8 · outbound

This paper cites Auto-Encoding Variational Bayes.

Generative Models: Principles, Architectures, and Applications Auto-Encoding Variational Bayes

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.637003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 030cb8de-29ce-43b5-84f3-3e8b5078fbcd · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Generative Models: Principles, Architectures, and Applications FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.641337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2667061b-c427-491b-b485-d8ec5248f3ae · outbound

This paper cites Flow Matching for Generative Modeling.

Generative Models: Principles, Architectures, and Applications Flow Matching for Generative Modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.645105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc096fc-da44-443c-b1f1-7ac604d8771d · outbound

This paper cites Flow Matching Guide and Code.

Generative Models: Principles, Architectures, and Applications Flow Matching Guide and Code

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.649030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd135db-ded1-4be3-b813-e93aaedac3c0 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Generative Models: Principles, Architectures, and Applications Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.653401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3fbfb5d-82bd-40e8-b7a2-01b08703a681 · outbound

This paper cites Practical Topics in Optimization.

Generative Models: Principles, Architectures, and Applications Practical Topics in Optimization

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:31:35.099530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfd6822a-42cf-414e-bfc1-d1e6aa77d175 · outbound

This paper cites A first course in sparse optimization.arXiv preprint arXiv:2601.06173,.

Generative Models: Principles, Architectures, and Applications A first course in sparse optimization.arXiv preprint arXiv:2601.06173,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-12T00:31:35.078982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a623fa7-7475-4040-b178-56eed226fb43 · outbound

This paper cites Autoencoding Conditional GAN for Portfolio Allocation Diversification.

Generative Models: Principles, Architectures, and Applications Autoencoding Conditional GAN for Portfolio Allocation Diversification

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:31:34.945411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cadd86fc-4963-4417-98fd-3cadafbe5321 · outbound

This paper cites Understanding Diffusion Models: A Unified Perspective.

Generative Models: Principles, Architectures, and Applications Understanding Diffusion Models: A Unified Perspective

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.677488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5841af1-f147-4fe1-addd-3a44e870c7b3 · outbound

This paper cites SDXL: Improving latent diffusion models for high- resolution image synthesis.

Generative Models: Principles, Architectures, and Applications SDXL: Improving latent diffusion models for high- resolution image synthesis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.439614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71eb78ae-b696-4537-bc9f-f5f135df0b31 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Generative Models: Principles, Architectures, and Applications Movie Gen: A Cast of Media Foundation Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.699210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9749341d-1cf4-45a2-b901-6866d3d286c8 · outbound

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

Generative Models: Principles, Architectures, and Applications Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.703943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b798070e-51e5-4655-8b18-9b26ed25b8c2 · outbound

This paper cites Kandinsky: an improved text-to-image synthesis with image prior and latent diffusion.

Generative Models: Principles, Architectures, and Applications Kandinsky: an improved text-to-image synthesis with image prior and latent diffusion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.424762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67dd6935-2e2c-4f23-bf17-49cf0003c335 · outbound

This paper cites Denoising Diffusion Implicit Models.

Generative Models: Principles, Architectures, and Applications Denoising Diffusion Implicit Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.712811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5245c4f7-8e54-4fe0-ac9f-9dec98ba3ebd · outbound

This paper cites NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale.

Generative Models: Principles, Architectures, and Applications NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.721694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f313538b-4eba-4c5c-8cd5-48548f041d4b · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Generative Models: Principles, Architectures, and Applications SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.734515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a9adba-d75f-46df-92c6-de1e3e98ca99 · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

Generative Models: Principles, Architectures, and Applications Fast Sampling of Diffusion Models with Exponential Integrator

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.739092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 379a04a1-38d4-4605-90be-fe4523866d61 · outbound

This paper cites Automated Variational Inference in Probabilistic Programming.

Generative Models: Principles, Architectures, and Applications Automated Variational Inference in Probabilistic Programming

Reference 1992

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.730235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c38e0eb-12e2-43e7-9b20-b1f5c24fa12f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Generative Models: Principles, Architectures, and Applications Classifier-Free Diffusion Guidance

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.620929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303b6b90-cf94-4b3a-8d3c-55a2c89aba77 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Generative Models: Principles, Architectures, and Applications GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.685877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de01bbaa-1149-4f77-aaa5-972d91193929 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Generative Models: Principles, Architectures, and Applications Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.579346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5315e706-6b73-42ac-b1e9-b5fa951c3295 · outbound

This paper cites Learning to encode text as human-readable summaries using generative adversarial networks.

Generative Models: Principles, Architectures, and Applications Learning to encode text as human-readable summaries using generative adversarial networks

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.409467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83aa4799-8e42-4f17-9d49-5c8316e39aa4 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Generative Models: Principles, Architectures, and Applications eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.574483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e2c0e8-2c47-4c5b-a356-f9c1d4a4b1f2 · outbound

This paper cites W¨ urstchen: An efficient architecture for large-scale text-to-image diffusion models.

Generative Models: Principles, Architectures, and Applications W¨ urstchen: An efficient architecture for large-scale text-to-image diffusion models

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.454187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d92c647-4aa0-4c93-9855-c1f937ef80ac · outbound

This paper cites Score-Based Generative Modeling with Critically-Damped Langevin Diffusion.

Generative Models: Principles, Architectures, and Applications Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.602948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0379a78-1baa-46b9-9552-fac60e3657c4 · outbound

This paper cites An introduction to flow matching and diffusion models.

Generative Models: Principles, Architectures, and Applications An introduction to flow matching and diffusion models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.624949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c24fad-a31a-4e17-86c7-37b203554db7 · outbound

This paper cites Conditional Generative Adversarial Nets.

Generative Models: Principles, Architectures, and Applications Conditional Generative Adversarial Nets

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.681598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc47d0ec-9922-4154-8ef8-67a658ce109c · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Generative Models: Principles, Architectures, and Applications Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.717171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3938833-9f53-498b-8773-c24bb30199c7 · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Generative Models: Principles, Architectures, and Applications FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.611899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d14b1ef-3384-4c02-ade2-ec1457cf809a · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Generative Models: Principles, Architectures, and Applications NICE: Non-linear Independent Components Estimation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.598382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a775cd98-47f6-4a50-b8c2-b7f9cb86492a · outbound

This paper cites PixArt-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis.

Generative Models: Principles, Architectures, and Applications PixArt-alpha: Fast training of diffusion transformer for photorealistic text-to-image synthesis

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.513295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f58ebc40-e542-4e3d-9ab2-f9129a809738 · outbound

This paper cites Unsupervised speech representation learning using wavenet autoencoders.IEEE/ACM transactions on audio, speech, and language processing, 27(12):2041–2053,.

Generative Models: Principles, Architectures, and Applications Unsupervised speech representation learning using wavenet autoencoders.IEEE/ACM transactions on audio, speech, and language processing, 27(12):2041–2053,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.499639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 582d15f6-e725-4ff4-8415-9b19c5466655 · outbound

This paper cites WaveGrad: Estimating Gradients for Waveform Generation.

Generative Models: Principles, Architectures, and Applications WaveGrad: Estimating Gradients for Waveform Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T00:31:34.589272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1884bc17-5f2f-4136-bdf3-01d8201bcb17 · outbound

This paper cites Numerical Matrix Decomposition.

Generative Models: Principles, Architectures, and Applications Numerical Matrix Decomposition

Reference 2025

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:31:35.118201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3552327-f44a-4c85-8e89-e5acd11504d5 · outbound

This paper cites A hybrid approach on conditional GAN for portfolio analysis.

Generative Models: Principles, Architectures, and Applications A hybrid approach on conditional GAN for portfolio analysis

Reference 2026

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:31:35.468944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.