Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:59.741679Z
Paper Citation Record · LEDGER
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
As of 16 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 14 inbound Pith citation observations for arXiv:2506.06276.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:07.952820Z
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
- metadata mismatch0
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
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Observation 3b4d6217-919c-4d8d-b491-d1bbe32b358f · outbound
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 615b3dbf-e60a-4e15-ae21-5971861aa4ab · outbound
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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Source-reported events for the cited work
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Observation d5aa8c84-dfbb-429b-9f54-25f470a1df20 · outbound
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
- Resolution
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Observation f030aa44-8ee6-4f75-b8a2-b1298941595b · outbound
This paper cites an unresolved cited work.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work
Reference 33
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Observation 7da076f7-d84a-4f1d-b0e5-f7f2503cd223 · outbound
This paper cites Scalable Adaptive Computation for Iterative Generation.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scalable Adaptive Computation for Iterative Generation
Reference 34
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Observation bb048a04-37c1-4bac-bb2f-19bd6df411f6 · outbound
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
- Resolution
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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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55dd9de9-961a-453f-aef2-06142870e7c9 · outbound
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
- Resolution
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Observation 5d381d4d-08ee-416d-99f1-5edbe488d42e · outbound
This paper cites Auto-Encoding Variational Bayes.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Auto-Encoding Variational Bayes
Reference 38
- Resolution
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This paper cites P., Salimans, T., Jozefowicz, R., Chen, X., Sutskever, I., and Welling, M.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis P., Salimans, T., Jozefowicz, R., Chen, X., Sutskever, I., and Welling, M
Reference 39
- Resolution
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Observation fa746a0a-ca8c-4645-a44d-fee3d36b49cf · outbound
This paper cites Autoregressive image generation using residual quantization.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Autoregressive image generation using residual quantization
Reference 40
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This paper cites Autoregressive Image Generation without Vector Quantization.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Autoregressive Image Generation without Vector Quantization
Reference 41
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Unavailable: canonical work link unavailable.
Observation a5dca63b-f4f1-41e2-9203-61c14f426884 · outbound
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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Fractal Generative Models
Reference 42
- Resolution
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Observation 9c28b70a-b478-44f2-b913-1f6b34ab34d0 · outbound
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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis A survey of multimodel large language models
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation f2701c07-13d6-4b5e-9a74-3e314b57e9f5 · outbound
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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work
Reference 44
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Observation 12e65d1c-1216-4323-88a3-7cc908b6808d · outbound
This paper cites an unresolved cited work.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work
Reference 45
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Observation 3a24c084-5581-42df-b4c4-88c3679f0997 · outbound
This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d00186c1-a8b2-4149-a982-fc21979daf37 · outbound
This paper cites Gpt‑4o system card.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Gpt‑4o system card
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7ad6125-3f41-4edc-bfd3-3b70b645c017 · outbound
This paper cites Masked autoregressive flow for density estimation.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Masked autoregressive flow for density estimation
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37b5dc3f-b9c5-477c-8de3-7d1795ef5148 · outbound
This paper cites and Xie, S.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis and Xie, S
Reference 49
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b2a5dc6-ab46-4179-84c4-eca7deb592ca · outbound
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6a4f915-663d-4eec-9bcd-0281c6396d6b · outbound
This paper cites an unresolved cited work.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Unresolved cited work
Reference 51
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d81bbb6-5fee-4dee-a19e-6cdda3fbb44c · outbound
This paper cites Zero-shot text-to-image generation.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Zero-shot text-to-image generation
Reference 52
- Resolution
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Source-reported events for the cited work
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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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Source-reported events for the cited work
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Observation 60d3cd80-92d5-4297-b5b8-ccccd72241ee · outbound
This paper cites and Mohamed, S.
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis and Mohamed, S
Reference 54
- Resolution
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Observation e6a2e4a4-23e1-4f78-b030-b1af409de6cb · outbound
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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Observation 7e9e2f01-6220-4f7f-a5e9-ce48bae950f7 · outbound
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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Observation 3223470e-9548-410c-a283-71d7f422571f · outbound
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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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Observation 95534488-4bfd-483b-bd5b-009f00e0b2e7 · outbound
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
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Source-reported events for the cited work
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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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Observation a2d75177-6ea4-4ac4-b697-77ffc3f3d21c · outbound
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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Observation c27f346d-bc14-4764-80bc-fbfa9135cd53 · outbound
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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
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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c73e42f3-c20e-4caa-add3-7c0aabd63e49 · outbound
This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
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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Observation 613e1770-6a11-4363-98ac-4cb29c45aa3d · inbound
Normalizing Flows with Iterative Denoising cites this paper.
Normalizing Flows with Iterative Denoising STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Reference 3
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Observation 05e1efa7-fa23-4aa4-b0b6-3c21883e36da · inbound
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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3e5b0f9-0d80-45dc-8dd0-daa4b6dbae4c · inbound
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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
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Observation 8277b70b-1175-4712-aaaa-966416af88d8 · 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 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
Reference 14
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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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Unavailable: canonical work link unavailable.
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
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Observation 613b2c12-5940-4b4e-b1e0-70d2b364d9ac · inbound
A Generative Model-Free Form Deformation Approach for the Generation of Mesh Motions with Applications to PDE cites this paper.
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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Unavailable: canonical work link unavailable.
Observation 8c59a42a-ac09-4252-b4de-fc30e94a7f08 · inbound
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NAE: Normalizing AutoEncoder STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Reference 176
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Unavailable: canonical work link unavailable.