Paper Citation Record · LEDGER

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

As of 7 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 13 inbound Pith citation observations for arXiv:2506.06276.

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

pith.paper-citation-record.v1
2506.06276 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:59.741679Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:42.878579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.415197Z

Reference resolution

70 of 70 outbound references displayed

verified exact1
verified fuzzy21
unresolved48
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90ea6285-5790-4663-ae7f-6e45d2b6ca8f · outbound

This paper cites write newline.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis write newline

Reference 1

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Observation 12eee950-c05b-49ec-846a-471dd2090737 · outbound

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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Observation e21402a0-16eb-4c37-95aa-af37dedbd82a · outbound

This paper cites Improving image generation with better captions.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Improving image generation with better captions

Reference 3

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Observation cac09970-e7d4-4c49-826e-9056c5ce0a3f · outbound

This paper cites an unresolved cited work.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work

Reference 4

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Observation 10d68639-dc50-4400-ab37-8b12d86bb6ab · outbound

This paper cites P., Freeman, W.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis P., Freeman, W

Reference 5

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Observation 0c93c82e-836f-4d08-9d5d-c637bd4c5a37 · outbound

This paper cites Conceptual 12M : Pushing web-scale image-text pre-training to recognize long-tail visual concepts.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Conceptual 12M : Pushing web-scale image-text pre-training to recognize long-tail visual concepts

Reference 6

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Observation 8ecd729b-7dab-485b-836b-a7b4f42c02c1 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 7

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Observation 89724760-beac-49a9-a912-827c3369a7f0 · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 8

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Observation 7bbcce39-eec5-4e17-9a59-8417ca82fb3c · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scaling Instruction-Finetuned Language Models

Reference 9

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Observation fc1d00a4-e67c-43bb-98a7-cb90737db8e0 · outbound

This paper cites ImageNet: A Large-scale Hierarchical Image Database.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis ImageNet: A Large-scale Hierarchical Image Database

Reference 10

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Observation 67a11c75-cf5e-415b-b9b3-6ebddea6e160 · outbound

This paper cites and Nichol, A.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis and Nichol, A

Reference 11

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Observation ffe4b858-2c95-4ce1-a147-fc1e11da9c79 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Cogview: Mastering text-to-image generation via transformers

Reference 12

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Observation d7e0f830-43b8-4917-8d17-30609d176e1a · outbound

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis NICE: Non-linear Independent Components Estimation

Reference 13

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Observation 4a92cddf-23e0-421c-918b-4dbb6340e33b · outbound

This paper cites Density estimation using Real NVP.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Density estimation using Real NVP

Reference 14

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Observation f9cd7900-7ffb-4ab8-aa95-a57ff8f6d952 · outbound

This paper cites The Llama 3 Herd of Models.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis The Llama 3 Herd of Models

Reference 15

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Observation 82dcda21-ca11-4fda-b85c-0760954903bb · outbound

This paper cites Tweedie’s formula and selection bias.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Tweedie’s formula and selection bias

Reference 16

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Observation ee43e355-0092-452b-8830-55de9e3689b8 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Taming transformers for high-resolution image synthesis

Reference 17

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Observation cc3eaed4-1a01-4eae-b764-7d0c36b2ff6e · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scaling rectified flow transformers for high-resolution image synthesis

Reference 18

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Observation 70747349-f9d1-4fb1-b3cf-a2831fb2bb73 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 19

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Observation 5a7b3cea-6c0e-4375-a1a1-21d554c2d08c · outbound

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 20

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Observation 3a02a7bb-d83a-4490-8f85-44132139ee1a · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 21

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Observation f1c1ad0d-e662-45b6-a3fe-5705da98d1fe · outbound

This paper cites Deep Learning.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Deep Learning

Reference 22

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Observation 98e8e911-bffc-4c94-8c21-a18a6382ff62 · outbound

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 23

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Observation c2d89096-0c05-414f-af13-2e3def652ef6 · outbound

This paper cites Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling

Reference 24

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Observation 0d5e0951-74f7-4aef-9f99-bd59f896ff0a · outbound

This paper cites DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation

Reference 25

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Observation 38ec51f1-5e33-4136-a668-47fc86d5bc7b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 26

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Observation f4b1a2e1-96f5-4a17-ae8b-ff08137353b7 · outbound

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 27

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Observation 19fbf586-e7bc-49aa-89b4-11df75a2e026 · outbound

This paper cites and Salimans, T.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis and Salimans, T

Reference 28

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Observation e169ad4a-03a9-40b6-b9fd-27008bfdb91b · outbound

This paper cites Flow++: Improving flow-based generative models with variational dequantization and architecture design.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Flow++: Improving flow-based generative models with variational dequantization and architecture design

Reference 29

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This paper cites Denoising diffusion probabilistic models.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Denoising diffusion probabilistic models

Reference 30

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This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Imagen Video: High Definition Video Generation with Diffusion Models

Reference 31

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This paper cites J., Norouzi, M., and Salimans, T.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis J., Norouzi, M., and Salimans, T

Reference 32

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work

Reference 33

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scalable Adaptive Computation for Iterative Generation

Reference 34

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This paper cites Scaling up gans for text-to-image synthesis.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scaling up gans for text-to-image synthesis

Reference 35

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Observation 53b8c8f9-7c83-419d-9d7d-51fbeced1341 · outbound

This paper cites Scaling Laws for Neural Language Models.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scaling Laws for Neural Language Models

Reference 36

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This paper cites Guiding a diffusion model with a bad version of itself.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Guiding a diffusion model with a bad version of itself

Reference 37

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This paper cites Auto-Encoding Variational Bayes.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Auto-Encoding Variational Bayes

Reference 38

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis P., Salimans, T., Jozefowicz, R., Chen, X., Sutskever, I., and Welling, M

Reference 39

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Autoregressive image generation using residual quantization

Reference 40

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Autoregressive Image Generation without Vector Quantization

Reference 41

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Fractal Generative Models

Reference 42

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis A survey of multimodel large language models

Reference 43

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 46

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Gpt‑4o system card

Reference 47

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Observation d7ad6125-3f41-4edc-bfd3-3b70b645c017 · outbound

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Masked autoregressive flow for density estimation

Reference 48

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis and Xie, S

Reference 49

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This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 50

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work

Reference 51

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Zero-shot text-to-image generation

Reference 52

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Observation 65512d37-77de-42eb-af56-b56ca5f05095 · outbound

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 53

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis and Mohamed, S

Reference 54

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

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis High-resolution image synthesis with latent diffusion models

Reference 55

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Observation 59d7d779-1b2c-42cf-94fd-0d171ae5f42b · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Roformer: Enhanced transformer with rotary position embedding

Reference 56

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Observation 5231f097-176b-4ba6-b0b3-c65d01af87d3 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 57

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This paper cites Chameleon: Mixed-modal early-fusion foundation models, 2024.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Chameleon: Mixed-modal early-fusion foundation models, 2024

Reference 58

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Observation aac63d8a-3067-4603-8d41-24a6711b1048 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Gemma 2: Improving Open Language Models at a Practical Size

Reference 59

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Observation 944abb33-b42e-401b-a854-8334322d4ede · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 60

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This paper cites Givt: Generative infinite-vocabulary transformers.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Givt: Generative infinite-vocabulary transformers

Reference 61

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Observation b114fb92-02ae-46ae-9486-f15da408d513 · outbound

This paper cites JetFormer: An Autoregressive Generative Model of Raw Images and Text.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis JetFormer: An Autoregressive Generative Model of Raw Images and Text

Reference 62

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This paper cites N., Kaiser, L., and Polosukhin, I.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis N., Kaiser, L., and Polosukhin, I

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:03:00.184375Z

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Observation 4156b575-11bd-4992-8d7b-dabf9d60301e · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Emu3: Next-Token Prediction is All You Need

Reference 64

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This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 65

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:03:00.174372Z

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Observation 0726e273-d6b4-41ed-817f-b74826e0e18c · outbound

This paper cites Normalizing Flows are Capable Generative Models.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Normalizing Flows are Capable Generative Models

Reference 67

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Observation c3a394ee-f880-43b1-92c1-f3ce0c5496c8 · outbound

This paper cites Fast training of diffusion models with masked transformers.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Fast training of diffusion models with masked transformers

Reference 68

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Observation 375574a5-03ca-452c-a5b7-c59f17ffd1e6 · outbound

This paper cites Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:03:00.153590Z

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Observation c73e42f3-c20e-4caa-add3-7c0aabd63e49 · outbound

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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 70

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Pith citing papers

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Flow Stochastic Segmentation Networks cites this paper.

Flow Stochastic Segmentation Networks STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 28

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Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy cites this paper.

Fractal Flow: Hierarchical and Interpretable Normalizing Flow via Topic Modeling and Recursive Strategy STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 9

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Normalizing Flows with Iterative Denoising cites this paper.

Normalizing Flows with Iterative Denoising STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

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STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation cites this paper.

STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 11

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Observation a3e5b0f9-0d80-45dc-8dd0-daa4b6dbae4c · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

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Observation fae1a920-39c9-46c2-9636-0e3f67ed5bfe · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 8

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Observation 3acb3037-5dc5-40c5-ad6d-487081014c56 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 8

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MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

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Observation 7efd3251-afb2-4296-8a21-7d65b5c41105 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

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Observation 120727c8-91ac-4609-a130-016cbbc8cf43 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 14

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Observation d8164f73-ea07-4d61-b014-533e09111d47 · inbound

IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation cites this paper.

IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 7

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Observation 088b81cf-4cb5-4b2a-b596-b6b1ed3a990b · inbound

IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation cites this paper.

IB-Flow: Information Bottleneck-Guided CFG Distillation for Few-Step Text-to-Image Generation STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:14.894123Z

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Observation 613b2c12-5940-4b4e-b1e0-70d2b364d9ac · inbound

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A Generative Model-Free Form Deformation Approach for the Generation of Mesh Motions with Applications to PDE STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Reference 12

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