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Paper Citation Record · LEDGER

Native-Resolution Image Synthesis

As of 8 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 5 inbound Pith citation observations for arXiv:2506.03131.

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

pith.paper-citation-record.v1
2506.03131 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:27.939105Z

measured 92 of 92 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:59:53.959732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:49:08.291505Z

Reference resolution

87 of 87 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved72
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f161e984-723d-47a5-ad79-9f907838ce09 · outbound

This paper cites GPT-4 Technical Report.

Native-Resolution Image Synthesis GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T11:15:20.987565Z digest=sha256:bab54fb453f5323ce29ee6ae023e05e8f4a988abdc4de852c0f3daefc992f1da

Observation 2f3135aa-8ffd-44f2-86a9-b3dc8ff00d74 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Native-Resolution Image Synthesis Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2

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source=pdf_text observed=2026-08-07T11:15:21.066092Z digest=sha256:5952ff4eba8857f0d9ff042bbf5b90a61124eb2d76deaa9e499968c0244a85c1

Observation 25b1c9d2-6bca-4aae-99ae-4fea246ec421 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Native-Resolution Image Synthesis Building Normalizing Flows with Stochastic Interpolants

Reference 3

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source=pdf_text observed=2026-08-07T11:15:21.162998Z digest=sha256:35f8272b4bf232c55a6cbde61a0fc51066266ec11d1f52322127154a1178a938

Observation 0a9ecd36-6c81-4671-bc92-07b176fd83f5 · outbound

This paper cites Qwen2.5-VL Technical Report.

Native-Resolution Image Synthesis Qwen2.5-VL Technical Report

Reference 4

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source=pdf_text observed=2026-08-07T11:15:21.344876Z digest=sha256:da0672c48c6c5698545259d9fa26c0603ad38465a20d364ecccf69451e70c8ca

Observation 98f66a24-4a99-4702-b379-d7a5dff555e7 · outbound

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

Native-Resolution Image Synthesis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

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source=pdf_text observed=2026-08-07T11:15:21.483651Z digest=sha256:0620923fc16d383e704946d50aa7fe1162bcaf27828d2881f2adaf33415c5c63

Observation 482644b1-f70c-4076-9850-9e8fd82dd5a2 · outbound

This paper cites Language models are few-shot learners.

Native-Resolution Image Synthesis Language models are few-shot learners

Reference 6

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source=pdf_text observed=2026-08-07T11:15:21.596345Z digest=sha256:224c32f31b6f8765c10da271924e9653d205827a40c336dee1197ea4168f4720

Observation 36887104-8b08-42f6-9869-9f24112971e3 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

Native-Resolution Image Synthesis Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 7

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source=pdf_text observed=2026-08-07T11:15:21.740312Z digest=sha256:7adca159f35d54d85c9f1f3da9ed22edf57602f66d45d1c7bab388293aa68243

Observation 24041d9d-d77c-4be2-8835-cd52dd56f01a · outbound

This paper cites Maskgit: Masked generative image transformer.

Native-Resolution Image Synthesis Maskgit: Masked generative image transformer

Reference 8

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source=pdf_text observed=2026-08-07T11:15:21.900913Z digest=sha256:f712dcba7e030bd84a6b69f37f76dcdef62d2cec46506c06dda7936c91b7c27a

Observation 7bd3b75c-c651-403f-9c05-5ed7b935108d · outbound

This paper cites CLEX: Continuous Length Extrapolation for Large Language Models.

Native-Resolution Image Synthesis CLEX: Continuous Length Extrapolation for Large Language Models

Reference 9

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source=pdf_text observed=2026-08-07T11:15:22.062379Z digest=sha256:8b241c6f9016e64abf75bf8ab1045f5f4cb14a545ab5de6ef598fd3ce775fbc8

Observation bf88a2d5-a92a-43bc-b731-4b7e242a8bc7 · outbound

This paper cites Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Native-Resolution Image Synthesis Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 10

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source=pdf_text observed=2026-08-07T11:15:22.223665Z digest=sha256:4b79adc6566c8b4d8829b9c5c2fe3772ce80420c088d40cabfcb87f863b6139c

Observation cf4dee61-1d22-41b8-974f-d9699b0d446e · outbound

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

Native-Resolution Image Synthesis PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 11

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source=pdf_text observed=2026-08-07T11:15:22.301847Z digest=sha256:5b8fb0cb325ea8c075570159ff76af429b1ed75055c3444e6bdbe09e32eea4e2

Observation a12c5aa2-2178-4d83-a23b-245e5e273836 · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Native-Resolution Image Synthesis Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 12

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source=pdf_text observed=2026-08-07T11:15:22.346398Z digest=sha256:e7fc341f7caec8a4a45855ea828ebd3837587ea50485262a87d9ef5fb9437e24

Observation 37a638ae-47dd-4725-b78c-fbb8d9a149ae · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Native-Resolution Image Synthesis Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 13

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source=pdf_text observed=2026-08-07T11:15:22.444972Z digest=sha256:d8aba1b30227e0cb68a5dce8c517de14ba847704c0987a2ad16534a349a94c29

Observation 30a6ae75-d721-4469-978d-ae9d04b7e3c4 · outbound

This paper cites Ramadge, and Alexander Rudnicky.

Native-Resolution Image Synthesis Ramadge, and Alexander Rudnicky

Reference 14

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source=pdf_text observed=2026-08-07T11:15:22.559084Z digest=sha256:9ac096e4d5e9f5a9fdf7da3f605e168ac06d7b8a27c39132ed20e41fa38da4e0

Observation 4e167c0e-2123-43cc-8301-97552952d1c9 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Native-Resolution Image Synthesis FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 15

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source=pdf_text observed=2026-08-07T11:15:22.663379Z digest=sha256:0263ff00abcba401e3c9662e0ee4ccf27b69a2ad68f2d895fc0082efe25926dd

Observation a0eef25d-31f6-4a4f-ac30-1290f02b085f · outbound

This paper cites Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution.

Native-Resolution Image Synthesis Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution

Reference 16

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source=pdf_text observed=2026-08-07T11:15:22.753088Z digest=sha256:be5bdff2075582c7e3577cb728710effedecca0f392b8c5b098d45fe9c4811ad

Observation 3d12a58b-b8ce-424e-b677-f71b6e6545a2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Native-Resolution Image Synthesis Imagenet: A large-scale hierarchical image database

Reference 17

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source=pdf_text observed=2026-08-07T11:15:22.857667Z digest=sha256:7b566330d9616169af9ce30c83bccf3b33363cc56b8b6eba5684d2a774c93179

Observation 075d9e44-70a8-4a9f-8aed-baa97876e823 · outbound

This paper cites Diffusion models beat gans on image synthesis.NeurIPS, 2021.

Native-Resolution Image Synthesis Diffusion models beat gans on image synthesis.NeurIPS, 2021

Reference 18

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source=pdf_text observed=2026-08-07T11:15:22.952406Z digest=sha256:9de8102d4f36da1008098316a9da5e39ada5d454b051bb1933ec0139d6d7f363

Observation 21b77b61-a5a6-43a9-aa68-e0b466eb3bfa · outbound

This paper cites Cogview2: Faster and better text-to-image generation via hierarchical transformers.Advances in Neural Information Processing Systems, 35:16890–16902, 2022.

Native-Resolution Image Synthesis Cogview2: Faster and better text-to-image generation via hierarchical transformers.Advances in Neural Information Processing Systems, 35:16890–16902, 2022

Reference 19

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source=pdf_text observed=2026-08-07T11:15:23.035803Z digest=sha256:267d85f465ccb74c2e40a56fbcea604eb49d07c73c779928988aa2b6de51bc8e

Observation 7f65b2fc-1edc-4fbf-a366-a0a6211fc287 · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Native-Resolution Image Synthesis LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 20

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source=pdf_text observed=2026-08-07T11:15:23.081198Z digest=sha256:a9208d497d7178e59bd922acd4ef53a81a468181c8986c1bd5c1fb7a85efad27

Observation b6634200-3a29-45aa-bf3b-019f36625017 · outbound

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

Native-Resolution Image Synthesis An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 21

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source=pdf_text observed=2026-08-07T11:15:23.137904Z digest=sha256:81675589073cb3db34c9fcbc71c932dfd318dfa7492d77eb12b4cfcfdf005615

Observation 9266811a-34a5-4f0d-a98c-7a7c7ff95be3 · outbound

This paper cites The Llama 3 Herd of Models.

Native-Resolution Image Synthesis The Llama 3 Herd of Models

Reference 22

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source=pdf_text observed=2026-08-07T11:15:23.254388Z digest=sha256:64b0bf222c29d4a8d44683ff2281f8743546405514407fc8744e6ce4a874a619

Observation a75da351-980a-499c-96e2-3b060461a921 · outbound

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

Native-Resolution Image Synthesis Scaling rectified flow transformers for high-resolution image synthesis

Reference 23

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raw_fallback, observed 2026-08-07T11:15:28.880751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:23.341339Z digest=sha256:49d66307162ce9f59ab6149d7f03542c386b75e2bbb14d79fe9a30e6cebae163

Observation 2735251d-14fc-475c-b0af-faa2d07ed9c6 · outbound

This paper cites Make-a-scene: Scene-based text-to-image generation with human priors.

Native-Resolution Image Synthesis Make-a-scene: Scene-based text-to-image generation with human priors

Reference 24

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raw_fallback, observed 2026-08-07T11:15:28.868042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:23.502549Z digest=sha256:8ef3773650f613c8e1e3358a42203f25bcb370fee0e9ce570809d4cf898b138b

Observation fca8e983-a16a-4156-8cd2-08fe6dec3114 · outbound

This paper cites MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer.

Native-Resolution Image Synthesis MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer

Reference 25

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source=pdf_text observed=2026-08-07T11:15:23.667405Z digest=sha256:dc32b936a1fe635342daaf777d7d281f92c54b44d6dc8fe0d40c0b721c2cd78d

Observation 690b89dd-e414-4967-ac73-ece6bb013ac7 · outbound

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

Native-Resolution Image Synthesis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 26

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source=pdf_text observed=2026-08-07T11:15:23.833220Z digest=sha256:af997a11f3e223f22982ce389f650705b885c4bc788d449a88d0260a98354e08

Observation 59c4f0f8-6bc4-4735-a902-d56b017cf2cc · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

Native-Resolution Image Synthesis LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 27

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source=pdf_text observed=2026-08-07T11:15:23.945547Z digest=sha256:95b07c6fb99e2f9f55160629b33050301d69f9f068b2da163f981f4070f65a89

Observation 97a0a116-776d-47a9-b3eb-f5fb76a55301 · outbound

This paper cites an unresolved cited work.

Native-Resolution Image Synthesis Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-07T11:15:23.972830Z digest=sha256:9a2c2acb31388cbbe3f5e03ea4199c030243510a45ae7efb1f63d229d553ceca

Observation 8227c911-c8cc-4169-a446-eaf113c41080 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 2017.

Native-Resolution Image Synthesis Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 2017

Reference 29

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source=pdf_text observed=2026-08-07T11:15:24.033223Z digest=sha256:e18de9b3da8d2358962e0f1a715d1cf9e729c9ac3923dda0e876571eb174eeac

Observation 9e245ee0-ed18-44f3-80af-a4c50841404c · outbound

This paper cites Denoising diffusion probabilistic models.NeurIPS, 2020.

Native-Resolution Image Synthesis Denoising diffusion probabilistic models.NeurIPS, 2020

Reference 30

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source=pdf_text observed=2026-08-07T11:15:24.115501Z digest=sha256:44f6e053f090611b385146b02563f65eead9901f6b098e25d436ea701df1fce6

Observation cd4ca75d-a2af-4e68-a9ec-0461fbeceaa5 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Native-Resolution Image Synthesis Lora: Low-rank adaptation of large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.826312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:24.240951Z digest=sha256:6749650699f33da0cf5429c6ceb247903e85ad063a750e18461ad4e824e9cb4e

Observation 24e79e3f-64d7-4472-a757-c37db8b6d5c8 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Native-Resolution Image Synthesis Estimation of non-normalized statistical models by score matching

Reference 32

Resolution
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raw_fallback, observed 2026-08-07T11:15:28.813464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:24.313090Z digest=sha256:c18db5f3a951d646a126872504886d9e263e861e1aeb1ef39bca649a048a9976

Observation d7feca47-4f14-4ee1-8e51-1838f68d4963 · outbound

This paper cites Springer Science & Business Media, 2005.

Native-Resolution Image Synthesis Springer Science & Business Media, 2005

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.800801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:24.402250Z digest=sha256:0334b9e5924ffb36238de7703a99e1b7a31806d5fe0bd94c2b5a20890f2296bd

Observation f8eb2c10-6433-47ed-9611-8d1e20dcf930 · outbound

This paper cites Scaling Laws for Neural Language Models.

Native-Resolution Image Synthesis Scaling Laws for Neural Language Models

Reference 34

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source=pdf_text observed=2026-08-07T11:15:24.469159Z digest=sha256:01e3a0eddc90d2216b4a04ac6126ebb5cadf237c875e9086ceaa945c40a8b62d

Observation e89498af-fbf2-4efd-9657-89d87486a412 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.NeurIPS, 2022.

Native-Resolution Image Synthesis Elucidating the design space of diffusion-based generative models.NeurIPS, 2022

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.788083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:24.558757Z digest=sha256:bc6a55f2ffaf0e3e913f6fb6bb7f17b2398f2e4786206ac36209a53aa64a39c7

Observation 0cdcc470-883f-4204-a57c-48b908bba491 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Native-Resolution Image Synthesis Analyzing and improving the training dynamics of diffusion models

Reference 36

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source=pdf_text observed=2026-08-07T11:15:24.651388Z digest=sha256:212f41fa2ed5a62dba178ae435297ec6969a98e1c62d28be30b8146a5d618440

Observation 40cc2cb7-e7c6-486d-a911-b22ce04c4bfc · outbound

This paper cites The impact of positional encoding on length generalization in transformers.Advances in Neural Information Processing Systems, 36:24892–24928, 2023.

Native-Resolution Image Synthesis The impact of positional encoding on length generalization in transformers.Advances in Neural Information Processing Systems, 36:24892–24928, 2023

Reference 37

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source=pdf_text observed=2026-08-07T11:15:24.746027Z digest=sha256:ee4a1dcfa51478e3c33c87df373c4e1775cb8044220948d9e4a2539ad0450def

Observation 3093cf34-c5da-4be4-8bc6-d61fc33f4068 · outbound

This paper cites Segment anything.

Native-Resolution Image Synthesis Segment anything

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:24.811862Z digest=sha256:6ebea1df04dee463f03ed3c1a383dcf90cba27b5b3af90f55fdac76cce168410

Observation 14fe30ba-120e-49c9-858d-5e0e414a31ad · outbound

This paper cites Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance.

Native-Resolution Image Synthesis Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:24.901809Z digest=sha256:e3a37f8a9b5084f90f406fd8966ac6c9fc04f3e931e357b64d547c9a55fcedd9

Observation 59142b54-efb8-48f4-b716-dd3ad09df58a · outbound

This paper cites Kynkäänniemi, T.

Native-Resolution Image Synthesis Kynkäänniemi, T

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.752721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:24.993696Z digest=sha256:854e3ab7fa8c6059121a51e96b6c610810ce67ee15a141440615ebce70d6f515

Observation d0934f07-f05c-41d8-ae65-faedd23d444a · outbound

This paper cites Microsoft coco: Common objects in context.

Native-Resolution Image Synthesis Microsoft coco: Common objects in context

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.083512Z digest=sha256:cf86236e094352f1bd3ba1e59bbc0e70871e6040374ecb1dc3f592c6af7264b8

Observation 56bab1c0-cbb0-42d6-89b9-beea2051c08e · outbound

This paper cites Flow Matching for Generative Modeling.

Native-Resolution Image Synthesis Flow Matching for Generative Modeling

Reference 42

Resolution
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no resolver link, observed 2026-08-07T11:15:25.150326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.150326Z digest=sha256:f0ea1e6a0c579dcd2b716ff0343bf71737ac3a2dcfc97f81c580255fc25fe234

Observation 7f2c05bc-dbca-441d-ad90-ed26bc2b99c3 · outbound

This paper cites DeepSeek-V3 Technical Report.

Native-Resolution Image Synthesis DeepSeek-V3 Technical Report

Reference 43

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.242734Z digest=sha256:1957227dd548fa72cee3eb9a15e317d55f48c11463a4b61f2610ff12e02ac5f8

Observation 8eb9cfa1-38f8-4c25-92cd-1445e60c001e · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Native-Resolution Image Synthesis Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 44

Resolution
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no resolver link, observed 2026-08-07T11:15:25.343513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.343513Z digest=sha256:12a7cf094c44ae7d84ed87ff0c88cdb614b433b22dc316870e99895a03e3b467

Observation 737abe9f-7f54-4bd9-9676-6e4f7176a03c · outbound

This paper cites Ntk-aware scaled rope allows llama models to have extended (8k+) context size with- out any fine-tuning and minimal perplexity degradation.

Native-Resolution Image Synthesis Ntk-aware scaled rope allows llama models to have extended (8k+) context size with- out any fine-tuning and minimal perplexity degradation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.724807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:25.437263Z digest=sha256:afe0a03867f8a4d8619cb8b792d097be1609cca11dc29d06180230b4d281d6b2

Observation 1949db0f-b8ea-4485-9e50-8ad4295c7220 · outbound

This paper cites Fit: Flexible vision transformer for diffusion model.

Native-Resolution Image Synthesis Fit: Flexible vision transformer for diffusion model

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.712428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:25.532035Z digest=sha256:b22eb063dd407a91c73e4ea3ad564eab116ec9d6ac154aa2d564aed63ee4f152

Observation 9c7ee035-06ae-454e-b0ec-dc99ee5045b9 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Native-Resolution Image Synthesis SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 47

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.626014Z digest=sha256:fa1b6724d9260314557ed171cddebaeeac546851d2804660ffe6980613cff41d

Observation 7d6d7170-d0b0-4583-97be-6fb4415c56dc · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Native-Resolution Image Synthesis SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 48

Resolution
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no resolver link, observed 2026-08-07T11:15:25.685719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.685719Z digest=sha256:7301b3f5ce70c93830823f75ba6ea378d27e9ac31e495ebbf81bbc8fa20b0770

Observation 9924311c-de1d-4408-8f2f-f291691e1ec4 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, april 2025, 2025.

Native-Resolution Image Synthesis The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, april 2025, 2025

Reference 49

Resolution
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no resolver link, observed 2026-08-07T11:15:25.754276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.754276Z digest=sha256:c47ee6c2c93962d4931ef200ce76006bdcf77715248e6a9c1e45be987cd2f77d

Observation 176abfe9-1a39-4f1a-9b10-41cea373b490 · outbound

This paper cites Generating Images with Sparse Representations.

Native-Resolution Image Synthesis Generating Images with Sparse Representations

Reference 50

Resolution
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no resolver link, observed 2026-08-07T11:15:25.847259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.847259Z digest=sha256:5f5d267e619583dba94a9c87cbb9285f77a4c06cdbc2d40010000ea46ea21420

Observation 50145533-0526-4762-8c89-8f8e77d0c46b · outbound

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

Native-Resolution Image Synthesis GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 51

Resolution
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no resolver link, observed 2026-08-07T11:15:25.908440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.908440Z digest=sha256:b35bb5b39f887274435385b1b90c5060b680da2d8de42375d7fd554b04c3710b

Observation 1be92052-8696-4bc8-bb13-94b934de05ee · outbound

This paper cites Improved denoising diffusion probabilistic models.

Native-Resolution Image Synthesis Improved denoising diffusion probabilistic models

Reference 52

Resolution
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no resolver link, observed 2026-08-07T11:15:26.003489Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:26.003489Z digest=sha256:3fe3143ed0893b2d584fe69ba56c5566596db33c34d49c366a3b2d68d076b193

Observation ee5d10d4-65d7-47d6-8d57-c7b7d402f663 · outbound

This paper cites Pearson Educación, 1997.

Native-Resolution Image Synthesis Pearson Educación, 1997

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.684253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:26.101969Z digest=sha256:a43314d81f7b3c1adea0b54dd7902b7300c9e2b5f862c8efcdfc58cb030c11f2

Observation dac0b850-91bb-4a63-ae5b-d2a21564678b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Native-Resolution Image Synthesis DINOv2: Learning Robust Visual Features without Supervision

Reference 54

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:26.216276Z digest=sha256:75b72d7144c7f685c5141db112678effc18f7641b14ad28cb7796a1cc2dc8db9

Observation e035af05-5512-49fd-9f08-8178163eca4f · outbound

This paper cites Scalable diffusion models with transformers.

Native-Resolution Image Synthesis Scalable diffusion models with transformers

Reference 55

Resolution
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no resolver link, observed 2026-08-07T11:15:26.240491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:26.240491Z digest=sha256:f229bb950ef67e3499044d1d7def8aa5e96caeac7bc3860c3c4d709486de2795

Observation c6229fcc-5086-40ef-b099-856cb9f7ca87 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

Native-Resolution Image Synthesis YaRN: Efficient Context Window Extension of Large Language Models

Reference 56

Resolution
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no resolver link, observed 2026-08-07T11:15:26.393194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:26.393194Z digest=sha256:3867763ab9cb503ebf7203624a0af5acd1473c309cc337c5c20d2768a55c056f

Observation 316110c1-aa34-4e6a-be20-971ffabbd9d2 · outbound

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

Native-Resolution Image Synthesis SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 57

Resolution
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no resolver link, observed 2026-08-07T11:15:26.611490Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:26.611490Z digest=sha256:cb01decce029a2b65e62990133fd857515e98797ba6c47b1a91a9d68f1f32c93

Observation 5eb6cec8-4910-4f10-9042-b9a2d792f6e9 · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrapolation.

Native-Resolution Image Synthesis Train short, test long: Attention with linear biases enables input length extrapolation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.664013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:26.733572Z digest=sha256:903d6867c98d21790d2f9f92912a2010914bf10ddd8a9f6e6de0ad56fc8058a5

Observation 5a6bdc94-a183-4f9d-bf8a-d1d796de94ed · outbound

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

Native-Resolution Image Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 59

Resolution
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no resolver link, observed 2026-08-07T11:15:26.885811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:26.885811Z digest=sha256:6fd1462aae8fd25982487a2916c5fc87cbbfb57e18d2292cc14295008a7b97ac

Observation 8ffbd902-cd6a-4e03-a83b-f6f1c0ac3e0c · outbound

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

Native-Resolution Image Synthesis Zero-shot text-to-image generation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.651576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:27.054517Z digest=sha256:59ec935c2df7586456671135c6664835e489d6c2c051b2d6d3fad641671dabf0

Observation 0bd08008-c6e1-48c2-b0be-83378756de88 · outbound

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

Native-Resolution Image Synthesis High-resolution image synthesis with latent diffusion models

Reference 61

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:27.070558Z digest=sha256:8feb64fd893bfa3af8e1f24c4f71b1dee25ade8892d93e5e8a0d5c807d7f97e6

Observation c56deb2a-9f32-42ed-9608-37e81cf4df64 · outbound

This paper cites Salimans, I.

Native-Resolution Image Synthesis Salimans, I

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.631694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:27.151937Z digest=sha256:4f23b349d3f019584e7af9ab57619db9174519a770b0d64d6651bd402b9a379e

Observation 44ae72e7-1e62-4d6c-aeed-948c21a8ffa2 · outbound

This paper cites Adversarial diffusion distillation.

Native-Resolution Image Synthesis Adversarial diffusion distillation

Reference 63

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.248286Z digest=sha256:b7c7d6b083741e6676ff23c8e510b0d377babf97c2c70bb55db4314290fe66be

Observation 2578c484-905e-4f72-8bfa-528f3bc0bc88 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Native-Resolution Image Synthesis Generative modeling by estimating gradients of the data distribution

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.252346Z digest=sha256:7d528983d6258b0449d0d424c4d3b5a03391cd2e2e68d317db0a7c926568e0d4

Observation 0f6a762a-4f27-4862-8e9c-0f80710cc57a · outbound

This paper cites Improved techniques for training score-based generative models.NeurIPS, 2020.

Native-Resolution Image Synthesis Improved techniques for training score-based generative models.NeurIPS, 2020

Reference 65

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.280745Z digest=sha256:6872170b5d9991e06cb3ebc9d5438e91fa2541ecfc1c40df514771cfb203a4fc

Observation 9fc7b962-7f85-4147-aac0-8b289c67f08d · outbound

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

Native-Resolution Image Synthesis Score-Based Generative Modeling through Stochastic Differential Equations

Reference 66

Resolution
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no resolver link, observed 2026-08-07T11:15:27.370087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.370087Z digest=sha256:37f4ecd27c68713b17d8abb8581837cda1e20e5facca82cb5cdae951559b43ca

Observation a50211fc-31df-4d42-880a-43456de3815d · outbound

This paper cites Springer, 2013.

Native-Resolution Image Synthesis Springer, 2013

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:15:28.594798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:27.447708Z digest=sha256:7d44c06d3cb59b626cda5699148226c40df5449062307a92a670641f3eb6201a

Observation 89af2ae6-5db2-4524-b0e6-10fc1ffcdc73 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024.

Native-Resolution Image Synthesis Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 2024

Reference 68

Resolution
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no resolver link, observed 2026-08-07T11:15:27.526473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.526473Z digest=sha256:265bf2e97ed02584df80527d94ee342e83f764b9e216c5811956f550d70deb6a

Observation 8a5d7fff-8a42-40cb-957c-aa7367634621 · outbound

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

Native-Resolution Image Synthesis Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 69

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.613456Z digest=sha256:5b2d7fc78a9fd7b8d779879b4ee099172437471b81f3e06add17533a38f357b7

Observation b8dae6e2-b953-4ce0-8233-84253194770e · outbound

This paper cites Seed1.5-VL Technical Report.

Native-Resolution Image Synthesis Seed1.5-VL Technical Report

Reference 70

Resolution
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no resolver link, observed 2026-08-07T11:15:27.691230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.691230Z digest=sha256:388c6228a484384de25a2bb77a57844392846dfdec403ed5892bba7b35a61f0e

Observation 4f4b7648-4cc5-42d5-9820-a4a588dfc9c6 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Native-Resolution Image Synthesis Gemini: A Family of Highly Capable Multimodal Models

Reference 71

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no resolver link, observed 2026-08-07T11:15:27.762445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.762445Z digest=sha256:6f8a12fbaedf66689eedbafe2fb8d2434603b8e87bbc7518694dd0b5d46f179f

Observation 983512aa-42be-4090-a934-f5d5f5aa5f3f · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Native-Resolution Image Synthesis Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 72

Resolution
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no resolver link, observed 2026-08-07T11:15:27.846475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.846475Z digest=sha256:5816db45ce4ce05c66883314e4ebb9f599c7bc0f4e17b23307c37a6f3843a1e0

Observation c2b9a487-b8ab-48e9-9476-b94bf5e51ded · outbound

This paper cites Gemma 3 Technical Report.

Native-Resolution Image Synthesis Gemma 3 Technical Report

Reference 73

Resolution
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no resolver link, observed 2026-08-07T11:15:27.879113Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:27.879113Z digest=sha256:6bf0ac9ab079d6dc86861316e1d10348146f3de75f6086c4ce877056b43db98d

Observation ca6ce34a-977b-44cb-b5e1-2db8299ff808 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Native-Resolution Image Synthesis Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 74

Resolution
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no resolver link, observed 2026-08-07T11:15:27.883333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.883333Z digest=sha256:6e23a919ff0f1926463be2e735a0c8250221d91ac482c34101e49fb53a0a8b8d

Observation ddef2aa0-1b0b-4acd-b6ca-d818d7237e27 · outbound

This paper cites Kimi-VL Technical Report.

Native-Resolution Image Synthesis Kimi-VL Technical Report

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:27.894108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.894108Z digest=sha256:c67d95e63c9dd441f14dff7159e11c985f7f44b89d0849de3aa69655577e8093

Observation bf6fd23a-01d3-413b-a43b-f0cfa40d0d82 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

Native-Resolution Image Synthesis Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 76

Resolution
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no resolver link, observed 2026-08-07T11:15:27.897881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.897881Z digest=sha256:93cf21f6173edebf1d9244dd000183562e71633ffe5f215e39b53121072ec6ed

Observation 2717444f-37c8-4a18-b2ae-3112867016f3 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Native-Resolution Image Synthesis LLaMA: Open and Efficient Foundation Language Models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:27.901577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.901577Z digest=sha256:a62e35dcc2e4247af796cb0d4ffe78645616bbcc54dcf14932deaed92bc8022e

Observation 8d8f8cfe-f9e0-4bdd-8cae-ecbeeee76172 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Native-Resolution Image Synthesis Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 78

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no resolver link, observed 2026-08-07T11:15:27.905511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.905511Z digest=sha256:e0fe0f96b0932a67d240746b5cc09ea3bd7c96976b12882365595cc8db85b321

Observation bf02c922-3487-4c70-8f08-d8fbfc4217d2 · outbound

This paper cites FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution.

Native-Resolution Image Synthesis FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution

Reference 79

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verified exact
local_arxiv, observed 2026-08-07T11:15:28.075956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:15:27.909683Z digest=sha256:b3c6ea622feed45d74971b5787762e746e63cb395983955558361e63a94bde56

Observation 835a150f-1d8a-44a9-8172-b9ec0f5a1bc0 · outbound

This paper cites FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model.

Native-Resolution Image Synthesis FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

Reference 80

Resolution
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no resolver link, observed 2026-08-07T11:15:27.913353Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:27.913353Z digest=sha256:67a4de14919d3920ca991040ce460ff189b67ee52792e4607096e6e38412a4a6

Observation b84bce03-8b41-4f15-861f-92659f6b1a16 · outbound

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

Native-Resolution Image Synthesis SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:27.917023Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:27.917023Z digest=sha256:5a794ace616933bee01f906a78af0a7024ba712b7df345c1d7eff526baac817a

Observation 9d157082-e74f-4f26-9d4f-e2affd1a205a · outbound

This paper cites Qwen2.5 Technical Report.

Native-Resolution Image Synthesis Qwen2.5 Technical Report

Reference 82

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no resolver link, observed 2026-08-07T11:15:27.920953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.920953Z digest=sha256:8ecfb795a5d654b9ac95c64fb0c710d99b947b510b1bb8b0f5408906cdd7ae97

Observation d4e4bee8-5a77-40fe-8ac7-355eaf138879 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Native-Resolution Image Synthesis CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:27.924274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.924274Z digest=sha256:f5c80ac7f32ad81d6d83d6bc685e74d4c57261fadec94da9a131477e3882bcdd

Observation 0947f8ca-f047-4568-9340-f074930b1d8f · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Native-Resolution Image Synthesis MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 84

Resolution
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no resolver link, observed 2026-08-07T11:15:27.927710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.927710Z digest=sha256:edbe2e4cf255a1d263604b4bdb09b3b34d1c1951757c2f71405983f83975fe19

Observation aa682b6b-9d61-4183-9d58-2f8001db09e3 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Native-Resolution Image Synthesis Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 85

Resolution
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no resolver link, observed 2026-08-07T11:15:27.931555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.931555Z digest=sha256:3982f945b109ca4f615eb0f00bb96ef72ae650c1ccf5572ace608e5b217fef77

Observation 96980f9b-1acf-47de-821d-41f3b86bbe48 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Native-Resolution Image Synthesis Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:27.935094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.935094Z digest=sha256:525a69baa8cb182f4193ac3d61da1bde23a90505bf01f18c842012d957144350

Observation cb2c27da-bdac-40a4-9dc7-a7ede0d331e0 · outbound

This paper cites PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training.

Native-Resolution Image Synthesis PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Reference 87

Resolution
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no resolver link, observed 2026-08-07T11:15:27.939105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.939105Z digest=sha256:c8b3448d7a57c4c1da1c45aa8d73f7cd74a9c16f92f01c833c7dc0967dc2f27f

Pith citing papers

Observation 27e6125d-c332-49bb-83cc-97af61f0e6bc · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Native-Resolution Image Synthesis

Reference 70

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no resolver link, observed 2026-08-06T10:59:53.959732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.959732Z digest=sha256:5fb473a0eedc956a9809926716a966ac5412de139952b2e211750e487bd8d43f

Observation 9359812e-9cde-4758-a93a-988074429599 · inbound

Transition Models: Rethinking the Generative Learning Objective cites this paper.

Transition Models: Rethinking the Generative Learning Objective Native-Resolution Image Synthesis

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-05T10:19:54.506238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:19:54.506238Z digest=sha256:1970f46f24b97fd392ab462e1ec4d067774cc8c1b7dba57835cf1b0c63420958

Observation fcc0f4d4-3bec-46a9-afc1-1ea50c3a58ef · inbound

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation cites this paper.

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation Native-Resolution Image Synthesis

Reference 64

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verified exact
arxiv_id, observed 2026-05-17T05:49:08.294010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T05:47:24.669763Z digest=sha256:6c7afaebb2332e9c169b70593fa98e13fef68df4ae3bc83a993a1ed2598949d9

Observation cdf67ea2-5bff-46e8-b1f9-b09fb03a980a · inbound

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations cites this paper.

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations Native-Resolution Image Synthesis

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:11.672181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:45e0d27bc3acc2e0c0ce5a6c7b6c5f46eee98294accd7b395c991825cd6515e6

Observation de2cb3be-e99b-4213-9930-2e68296213a9 · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Native-Resolution Image Synthesis

Reference 10

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no resolver link, observed 2026-08-01T13:38:57.401548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:38:57.401548Z digest=sha256:be0d61795358d271db016b0c210292637fff619c47478bd90195437b14efbc8b