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Paper Citation Record · LEDGER

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

As of 17 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.

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 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:07.952820Z

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
  • 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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.489329Z digest=sha256:931f2a1e18542738edaa0708680d2ad1514a8d7489a79e3419b19b07d8cf1615

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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source=arxiv_source observed=2026-08-07T06:02:59.493679Z digest=sha256:752eb62df928f8b4193ce659574c2caed54152164b3968320915df4ae9163d78

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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source=arxiv_source observed=2026-08-07T06:02:59.502925Z digest=sha256:5048f44936d29305ad9c0c28fd48f13637c69fe9a7326c2c8d292c77dcef395f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.506482Z digest=sha256:49d15d1e4ae4ac7073a633fb892893d7e3d993c7d775e9ff2d9d538f1a6124b0

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.510506Z digest=sha256:96ee875c5f12bc60a9af9feecdbd13376e181eb219aff5eed7116e567b0732f6

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.514221Z digest=sha256:23ca2f8b1dfdd390c5a23eb238a483cad81d2e0918d9a68f427b992c625c19e1

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.517686Z digest=sha256:2bd1f4b5eea7c487ab67a2cf581101650383349d9468085d661c4fcaeb2e2769

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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no resolver link, observed 2026-08-07T06:02:59.521652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.521652Z digest=sha256:298a1923a686c74e07841b419540aba75ae4fbefd79c9719fa026a279dad660d

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.525342Z digest=sha256:06cdc141c53ca006b73bd0744209d2bdedc0ffcc0ca2ecfd1a31d2d6a8398d4a

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.528573Z digest=sha256:0429817a48ec16ae2d17a47471a4be5957c7a545138aca40d97e7894da6f22c8

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.532011Z digest=sha256:e1edb95224c894eed267920aa0445798de0451a7d17a7317cedbb8845f40950a

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.534846Z digest=sha256:98b013b50743816aed5132129e5a3761b05b53e1533306ee94c0c5a1a9ba1cbc

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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no resolver link, observed 2026-08-07T06:02:59.537710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.537710Z digest=sha256:8aae38c04fbb58c79f72e1cae1297dfe5f12b950bbdd7b15ea24d6acccea28e9

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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source=arxiv_source observed=2026-08-07T06:02:59.541321Z digest=sha256:5355b435cf887ef952454f57d15fc5555a7cff981699fda52529f20c9e723361

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.544500Z digest=sha256:de219a05031022aa4f62090c6ec3d1cc9437af4d41e0adcc7dabe92e17619ec2

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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no resolver link, observed 2026-08-07T06:02:59.547283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.547283Z digest=sha256:7d55efa4e509bd187688db8b3b164cd88059a6e5502b271ab24050da9dec0749

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
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.428665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.550355Z digest=sha256:f817607e693900ee79849a9575f722e0869ed0de16b7a90faa74550fa54e55a2

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T06:02:59.553662Z digest=sha256:731ad4c24c3bb594a9c810b5b2595b0d548118417d3d8d0cc8b179bd5fd32256

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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source=arxiv_source observed=2026-08-07T06:02:59.556863Z digest=sha256:3c1cb80168ee00e1ba7fdf1f5cba636437445fcdc259ceb255adb2dd34f7feb6

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.560240Z digest=sha256:891bd2bb75f0888a2b9c6cf94846b493e1214906a19ec3a2e1e0cf2dfd34e26f

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.564227Z digest=sha256:70f8e65411655b066ea846ad8d747bf562cf81a5b8e72a90e7556cb6f97db4c4

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T06:02:59.567296Z digest=sha256:c519434cecae9520574404832169fe2a9a76be381a773b87afb1b7241f855fbb

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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source=arxiv_source observed=2026-08-07T06:02:59.570333Z digest=sha256:fe82cee3ba5ee04384592a05d65ac2ac03f503c23ac374a3dff3f80ee8ffacaf

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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local_arxiv, observed 2026-08-07T06:03:00.049777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.573611Z digest=sha256:fbd19922a7a9c2e8be4b15166c751c9d5ee48f64154625adaffa77a3aec9ad69

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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source=arxiv_source observed=2026-08-07T06:02:59.576948Z digest=sha256:18d5f33ff0f2de84784f4dbc915c81438262d0151f189f2757ddb398dfea28c2

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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source=arxiv_source observed=2026-08-07T06:02:59.580716Z digest=sha256:a7c28cd6e41cd5110083b5a5e47351d79b2658320e0b2d18402da18995921de0

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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no resolver link, observed 2026-08-07T06:02:59.585966Z

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source=arxiv_source observed=2026-08-07T06:02:59.585966Z digest=sha256:3c9818447f2e552ba3b094c4a6df62a394623a8280250f1bb75092d948b5c563

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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no resolver link, observed 2026-08-07T06:02:59.590498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.590498Z digest=sha256:1595d9d635bcba3472ce305aba4a4e3957976eeba273ffa626475e228522b552

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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verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.381239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.593783Z digest=sha256:f8b40c5ff939801531ee82f3d842ffd0d000a51da5c3d74a56782bb0063d6885

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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no resolver link, observed 2026-08-07T06:02:59.597089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.597089Z digest=sha256:612f15be64072b1c932c856637e3f8610e147d941099ff2bc760fb55ab130b41

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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unresolved
no resolver link, observed 2026-08-07T06:02:59.599998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.599998Z digest=sha256:f4dba0bced1b44b13e32aca796ab9a81398d24589ba30401407a90070f46e336

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

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verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.363691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.603683Z digest=sha256:fae0202908a697dfc68a9d79f02abd32b4377573b6ba49ff2013b87d267bb15b

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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no resolver link, observed 2026-08-07T06:02:59.606871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.606871Z digest=sha256:8608fa71f63b887c7f78b02606580905e216f66a7512c05a695449a168b61adc

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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no resolver link, observed 2026-08-07T06:02:59.610007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.610007Z digest=sha256:9524de42f90559763514456751edfa7d5aa2009456a7a695adaaa723f24263d2

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

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verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.346590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.614298Z digest=sha256:121e678d9a1018121b5c2c4e49e537b928ca5c3099d849d369b1d6d799a06d74

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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no resolver link, observed 2026-08-07T06:02:59.617487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.617487Z digest=sha256:291114c447168dc6faf06377d607a536ef38f2eb2a4767683a6e29e49034a916

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

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raw_fallback, observed 2026-08-07T06:03:00.335753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.621140Z digest=sha256:f9dfb94ac7b479adcd301033f5132769eaf9b74be8b7439a06ec998326a52247

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

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no resolver link, observed 2026-08-07T06:02:59.624759Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T06:02:59.624759Z digest=sha256:207f20e3322e5a07b0f0c4469b8d3ded4bda99f806106203e65b13b9001572fd

Observation ed1e235f-8736-407d-a1d7-b6c9524bbe6a · outbound

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.628497Z digest=sha256:d74332fdb68a6fadc2f735eb31d156ddde919987a23f92e98a00024d6b3d67b0

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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source=arxiv_source observed=2026-08-07T06:02:59.632252Z digest=sha256:b45c5ee2510567d72276ff284d8a427c411d562473af9d0c5a4d5a160c65991b

Observation f010938b-84c8-479d-a958-267d9fb0390b · outbound

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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no resolver link, observed 2026-08-07T06:02:59.635645Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T06:02:59.635645Z digest=sha256:7eb5bc6b32009a09e11808fa22d4371026ff6a3d2d41852b72d4af348f7f62c2

Observation a5dca63b-f4f1-41e2-9203-61c14f426884 · outbound

This paper cites Fractal Generative Models.

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

Reference 42

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source=arxiv_source observed=2026-08-07T06:02:59.639189Z digest=sha256:2f7beaf9065d431d36dd3167550488351836eecea879fbcb15254c3f2f213125

Observation 9c28b70a-b478-44f2-b913-1f6b34ab34d0 · outbound

This paper cites A survey of multimodel large language models.

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

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.306303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.642997Z digest=sha256:8a9b12246953714e83e1377a8e37d5994edac7721ab86396e33563190f842c5a

Observation f2701c07-13d6-4b5e-9a74-3e314b57e9f5 · outbound

This paper cites an unresolved cited work.

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

Reference 44

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raw_fallback, observed 2026-08-07T06:03:00.294802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.646275Z digest=sha256:a4e796cd952daaf397012b1c7e93ffab9f1610fe1081ddf2a88c8c260f406d1b

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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T06:02:59.649572Z digest=sha256:dd5fcd97ef6eba4cd28be17a0de07a80a8e26d60aefc243dca791c346d98306f

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

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source=arxiv_source observed=2026-08-07T06:02:59.653070Z digest=sha256:445f06de388eb0010187a9ddc536681a5002f9f2fb3994d79b02911ca9601a46

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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raw_fallback, observed 2026-08-07T06:03:00.273570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.656641Z digest=sha256:2e8e33b56dcce28dc75547bff7d91ca03a51cbac70df4d14f2faf5f31dff0ede

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

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verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.262721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.660276Z digest=sha256:401618973e7b02d4dbe82fd3934f4e6c8c2aa728ad70b54ac165ae28d0006d65

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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no resolver link, observed 2026-08-07T06:02:59.664041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.664041Z digest=sha256:9ad0a323d03560d9c706d2ce61bf48030e37bd3e40b539f6e3427f4efc409ef8

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.667314Z digest=sha256:546cdf7fefe3ec35b150168e958bf5f2de12d51d7ca53b46aeb306a9b5045804

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.

source=arxiv_source observed=2026-08-07T06:02:59.670919Z digest=sha256:551e2b29be30af2e9d99aefe537c6803582170bcdcf4abdd2d5f1639f84022af

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
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.237446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.674096Z digest=sha256:6df21c129e4e5e7ec0d1a37e1c4f656fdf6d1842749834ef4c963ef5548a72e4

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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no resolver link, observed 2026-08-07T06:02:59.677231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.677231Z digest=sha256:510a8a3e8d9db9a13004fc516d0cb2bd99a6ce3c3433ee792171914bcdae1d73

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

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no resolver link, observed 2026-08-07T06:02:59.680315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.680315Z digest=sha256:92d7cd0cc4937e7ceb753f360e8fd9fa0f86cff34d228da5521c918aaae9a26a

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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no resolver link, observed 2026-08-07T06:02:59.683543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.683543Z digest=sha256:a8000abce33315e4a86088a130ded378c1a0be27bbad7eb71e14a6d12e244b39

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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no resolver link, observed 2026-08-07T06:02:59.686433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.686433Z digest=sha256:2d258831569679f3d0e35651f99c0501d3317743eb1463b6514846ef54c78a76

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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no resolver link, observed 2026-08-07T06:02:59.689617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.689617Z digest=sha256:b0a6583dcf1f0dff441d53133ce05958832b82acd81c1537f3da956425271086

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.205608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.692927Z digest=sha256:8b9865b2146fcb7a6b28d5781e2fd637d046a0b99a714c8e93744a0356daf044

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.697367Z digest=sha256:9423939a215cd05a51e2e352ee74aa519554e246bd6bb168ed1fa87affe8fe60

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.700606Z digest=sha256:99f7057f4a9b743fb220b18a961edb461b3a89709a48ba4551a824ef7d535564

Observation 3223470e-9548-410c-a283-71d7f422571f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.194075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.703988Z digest=sha256:0a6ec2e0f5b2b6245d8cee7053926e2d6cc8e9221a3753376429ce6bcf675669

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.707406Z digest=sha256:efa645d2f96b830c51713567cfe08fa4e704f788bccc581a2b2caf5c05cd90c7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.710622Z digest=sha256:f2c807495a54780ce73c1ad60f22db92bfb5d10aded1c6ac2567b29ab1544ce9

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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no resolver link, observed 2026-08-07T06:02:59.714113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.714113Z digest=sha256:35e6d1a2b763282d46394973db62596fbb9dd38659fe052b38855fa0654d27ae

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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no resolver link, observed 2026-08-07T06:02:59.719045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.719045Z digest=sha256:ce952db1446afd1b9a0c4b33ac71f644cc1ee19856ea3278cf01b2825cca6f7d

Observation c27f346d-bc14-4764-80bc-fbfa9135cd53 · outbound

This paper cites Y., Luong, T., Baid, G., Wang, Z., Vasudevan, V., Ku, A., Yang, Y., Ayan, B.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.722901Z digest=sha256:cd639dbf700586188d256ff6de784a0aaffa033d6627be7a6c7cca4ff5ff4fa3

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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no resolver link, observed 2026-08-07T06:02:59.728304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.728304Z digest=sha256:589d83a7cfcae6e050f71e93514955c89188736403ec08e5a5aa5cbcdd424a11

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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verified fuzzy
raw_fallback, observed 2026-08-07T06:03:00.164232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.734652Z digest=sha256:11368dfc23bf9058247124e44bbf0eb5167391b3b250f02c005c3e647f444335

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T06:02:59.738237Z digest=sha256:8aa602acc2dfa069b5ebe33839444c3da2ded1477d317334af96bcd242c4466d

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.741679Z digest=sha256:4e16f35fbd81290900207d25b9f91e69a2b76f73c247905d0821aeb9fe0fd234

Pith citing papers

Observation 62a25d21-fcfa-4e06-ac9c-8207b094f8e8 · inbound

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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no resolver link, observed 2026-08-06T14:37:42.878579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:42.878579Z digest=sha256:37dc1519779b2c2a928548617d63e47fe47d9ec71326e334bff65ac52396baf1

Observation 0e9ebf40-069d-4a9d-8030-3f05b72d2369 · inbound

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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unresolved
no resolver link, observed 2026-08-05T15:35:26.827573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:35:26.827573Z digest=sha256:4044a25337a3272536e7522501aa01fa1a09491e825344c0afa4f7f6523b05e3

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:11:18.924529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T02:11:31.246200Z digest=sha256:24ffb0943aef7a0ccbb74decdfd8bea5e90908234a60279a78a61a7f5a71931c

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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verified exact
arxiv_id, observed 2026-05-11T02:45:57.076980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T02:44:59.644215Z digest=sha256:9385bedf0ef84f0a6d7117dd517258498a8b7e94ebeec4edd85c740909725e17

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

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:03:15.373375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T11:59:54.139888Z digest=sha256:905017dc975eca36a71c4cc9b3cd8b3ddbc41d93fe0ed24c69f61ca4b524335d

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

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:15:01.300920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T18:39:40.667006Z digest=sha256:c5c12eefda508013a1275b7890ec1d7049a3d65901f8653fc38ac58f43264b09

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

Resolution
unresolved
no resolver link, observed 2026-08-02T13:49:18.539859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:49:18.539859Z digest=sha256:5fd773796941118966bcc88fa822a469ef3803fd83957f217725f5c48b6837de

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

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:50:11.416811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-25T19:34:02.046104Z digest=sha256:22288ee152fd88a395679acf7f534687369b1b4fdcd6ac7577a6b1b0cfb3b066

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:35:40.181339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T06:27:24.992386Z digest=sha256:102ad66152d3f04682d44d1e2d239eebd2b4d164ab5c54d5fc32d6729da2619b

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

Resolution
unresolved
no resolver link, observed 2026-07-12T12:07:02.175855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:07:02.175855Z digest=sha256:34e83ce43ec26be0938d6855c38fe106a022fda86b25ec30ddf54935808a1b0f

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

Resolution
unresolved
no resolver link, observed 2026-07-13T05:11:19.001184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:11:19.001184Z digest=sha256:865ae6ed86bfceca1bee869874fe275d25d329ab58577d00c4229a58da73e803

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:14.894123Z digest=sha256:8a9fe693a0ec1c7d5489c87348c1c1c9a28a7cae49e0fde6a7a78ae6bd0a6390

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

Resolution
unresolved
no resolver link, observed 2026-08-02T06:01:02.087254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:01:02.087254Z digest=sha256:a9176fcd2c72777420f4c42045b565d72a20c5d48383f3c4dd2ec58144593f91

Observation 8c59a42a-ac09-4252-b4de-fc30e94a7f08 · inbound

NAE: Normalizing AutoEncoder cites this paper.

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

Reference 176

Resolution
unresolved
no resolver link, observed 2026-08-16T00:22:07.952820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:22:07.952820Z digest=sha256:e3625d640fba113cdfdf9793d85930176b49d3b646fe675c501a65ce37983f8d