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Paper Citation Record · LEDGER

Native-Resolution Image Synthesis

As of 19 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 2026-08-18T06:34:40.430872+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=sha256:848efdd71d0ca1912dce45dfc0569935c07f19c7c5dcef41e9814d1a1993cab4

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=sha256:6942dd93240c84857757aadf8e331bae9517f34ca6c32b5169c374785bbb8b96

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:d15bb26112720d664dca2fbbfd95d96374ad2ff0b98b56750666d8e0f284f440

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:e48dd04ba89eda00fa11e1c45700d270597e3e12c3b4695802acd28f95b7cfca

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:e39af57c7344577b59aba9e9d11080bc63c45e8b3b12a0b60e12e0b445dcc633

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=sha256:2391ce8e8a645e096523f0d2b00a92ac69f465969e3ad0843cffd733a2b57c5c

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:a5af707a86f2b1448358ac6adf1a657e2a52d9828689c9a4528f44f6bc19d9de

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=sha256:86848491ec4b1e2b2a70012249e76db157f1fba91152c677d4c2f9ea33a2f369

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:ef1877687308764d324bddfe01e4de606f21b9e34d9527d2567e52049d2034b1

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=sha256:6581ed8a253f9f04b1b2da19bdb1f4c0965e40b29967569c2e33849a5c4fbcf7

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:bda406ab979db57d22ea5d1a973ea665a9564f8d1b8b7fc250f4743c4738e794

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=sha256:193240ae8eadc2cb20bf348129f77e75b3d816172d10dd2cd2fa8cbcd814718b

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=sha256:1d7056bf92e776ef9ad64ed2c92f38d32db8875bd93376fd81222c063d7ac14a

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=sha256:76bf030736395d464b2bbcfa36c4f06b43ce09f650495e426dcaa7497dfe43a8

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:c0a5602380cffd5c662ab32da43ece0479103dc012bf96cf6dc9be72f8a74dd2

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=sha256:8b080d51097f7149d330ca11aa1a27b53c876b14731934ad4e7f281fbb5e0a67

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=sha256:47b4e75ce69657d1933c9cda8b86c562ec8c9bfab9c8a8bc05f8c03c2f8075c3

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=sha256:70df14c6a6fdcaa44ad971a82c9df03d781264f4baabfc2534b4b068c86cbca5

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=sha256:4f3733ca175191851cfd775ecfb5fdd13b4e93f36c59f4fddb45f9eda0806852

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:bbc4b16f1c4637eb7e20e5977cbc4f846741ff92bdf72c1dbae2a69467765bf9

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=sha256:50d4217574f96dcf49226b96f50c7c205aadec431c11f1767a2060528f13e6ab

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:ec7fd30a757adfbcbebbddc2c8b2345d89a3f28a2f7cdcb33384ccf467a92097

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:23.341339Z digest=sha256:2fb82124a418ad26317645832f7dbe933dc4240f374851de2441b01a6983cc8c

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:23.502549Z digest=sha256:cfc6158785b4739c9bb08d126a12d01858c0c4e2a51f63089937169f98d2ca58

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:b1a511a7b3ece8557d7d3dd9f81e78adf7e14746eb6cabbe739d193429d859ed

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=sha256:83e5a52d212c6a109da00dceb878a723c5074d12803ad5e5ba83989155317e26

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:b0b522b089fde79794e00abec28f5367eb5465881ee9121d55b05f4bcd39ae19

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:23.972830Z digest=sha256:6c961832442dc3d19f3e02b5da2ac24d9c7990282fa50218141530eabb1cfd60

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=sha256:4a27b35022a651338822d3b3e24d442c41a1db1894095cb134400ff5e4dbf7aa

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:ef3d390d75c99d852ed91b4d2f85a7032327c46e2645e42fcf0a34fac4dc8a5a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:24.240951Z digest=sha256:f9ec9292bdc7e9850401392841829c82d60e43faeb1369aaca8ece819276b055

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:24.313090Z digest=sha256:326de7346377dc21364259f2ab0e7d248a34d9b480260a085a1583e85029c997

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:24.402250Z digest=sha256:7517a10e65e54cc301bc2c2107396cc29fa56dc43aa27964adbbf84e5899d8d6

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:cc8f2bd12fd2256ff277692e545e1f8b96a0f04113f70f4f653c9acb85a67f8a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:24.558757Z digest=sha256:bf7e9b503813b6c16788dd3d2f65d5bf0eef8737f161f5cee1e6f4f755c2ed3d

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=sha256:67a05e57992f82022b509f37c125a17dac6960638de11bc40b58488adb46d410

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:dc5efb42f3f46e8c85d10ce2532beef796b3b5d8174e7784ec179b55171f8064

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

This paper cites Segment anything.

Native-Resolution Image Synthesis Segment anything

Reference 38

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:24.811862Z digest=sha256:36131efd555db645584cc21a3b6b81fd61332e969afb04ceecf2799ed99639cc

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=pdf_text observed=2026-08-07T11:15:24.901809Z digest=sha256:05208f2268f1d63bd888fd58a43393b99cd3ecc5be0db351414f867a38e884f6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:24.993696Z digest=sha256:abe934648635d316401a775b4089cda6c7dca9f16479ab6f95a5ab26af5af69e

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=sha256:64d0bd49a6fd91198b59ea7ceac64ea977c6f01e40d98a8061804a7a42326b98

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:a4032d61b68f01ad1420d76cf206eee29a1d06f48e2b136665b256bd9c3c7119

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:ab35c4462d9744d252c45141961c4a5a509530dcb3b41e64a9c810bf943468f2

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
unresolved
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=sha256:901fef02385ea6a1736ba4737adae3fb02b77cc824fc2b3f037136c32480d67e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:25.437263Z digest=sha256:639cff965a06f3e104d5b4b29ad3d6b00fa82a03c5764e43bfd6cca238386d4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:25.532035Z digest=sha256:51e7a6090047d0ad03dbac5bbbd92fe1be823bbedff15fb9474090c5295201e4

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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no resolver link, observed 2026-08-07T11:15:25.626014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:25.626014Z digest=sha256:765a6b2a61b0dffc56aa9451d65e2774cde1048b3fb290dd665d916fc2ace666

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

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source=pdf_text observed=2026-08-07T11:15:25.685719Z digest=sha256:2b299eca76d77df051235e3322827d4d4f434d268be7026b194fbc7716547038

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

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source=pdf_text observed=2026-08-07T11:15:25.754276Z digest=sha256:2451728d4d08e4ff7604413895e2cd21de91d073459213a6a94f2ec55d87f4e6

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:c7a55a5f3237ea9b0bf95530fb7ce09093a904571a47d1241c68411c34dbf335

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

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source=pdf_text observed=2026-08-07T11:15:25.908440Z digest=sha256:5520eff7a87cd1236c67ac97df9e84e11545bd4b601ce3f0138068e16e5cf417

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T11:15:26.003489Z digest=sha256:80bd447ab0e61ccf85b8d84cadd3d6c14c25c0042ab94c6767cc0844f96dd7c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:26.101969Z digest=sha256:0048470abb51ae47cf8f2af1c4ab69dca213e49ce479a2023e582b940eaebf62

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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no resolver link, observed 2026-08-07T11:15:26.216276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:26.216276Z digest=sha256:658d2ee3373c0158e96a0c83fa877cc4819841a2afff63bc569a46dbbade9cfc

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:eca34927b032d784cdddb2dbb5d8b2548123f11989fdcaa61095ae0b86a2f32c

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=sha256:86e7e4ea3bfc877db7e889a5425bda836a0f2a711c3538be78281d9778048f8d

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=sha256:3a5212a688b278c8891fee6f0168d4824e4babb9780d7436b8249670b8954c53

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:26.733572Z digest=sha256:49874ef8cbf2a96d3a90ffe412530a9383f040c9cfa598fbcecac6bc7cd01003

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

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source=pdf_text observed=2026-08-07T11:15:26.885811Z digest=sha256:a7cfe957c0ebfa1e87affa2f292406744edb635a465d02d6122d6057ca90f0d3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:27.054517Z digest=sha256:10fe149a108f425498f7303b7c07ca71b7b3bc33b1879859399a53f20a710191

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=sha256:0fe936318b6a0cb6dd5fd3fb0c0cb72319b25b14014000a7be78bebbac1c3f9b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:27.151937Z digest=sha256:2e30f248a2e638f3c343da1a5bf8c0ed15a5ba8e8d04a60d9b55649552b9d433

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:d8afdf13c3c716f933b2eb19fcf498ed91fa0aa02711f83df2bfdbb225502d50

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:a31c1dbdd5677b5c26cfde8874481c3fc6ab07745f68fc2640f35990e1f0804f

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:c05c91b098bb91ffedb7fef502bd1c5e1f4ba106536e87cef3c0978192fc1603

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=sha256:0309e19b08a46aa9e04e63b5c4dc803d049085d7f9be002b45758abbf28f216c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:27.447708Z digest=sha256:e7428b4a5d101d89ecce72cc9cead4fa029fc874296d1e16e11578819a64f734

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=sha256:2f07d1082b8987a56341f3a26ebdf5066a24d559a1972a34af5d0a96e4a76345

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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no resolver link, observed 2026-08-07T11:15:27.613456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.613456Z digest=sha256:1545c671954a7b8ac282b631cb805c0e524042c8d09fdb1d179e9a1a7d229e19

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=sha256:7b22ac3e9e941dc9093ddfc10f55b8d7d91f8cba7523e902ce0820323dc1cc92

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

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source=pdf_text observed=2026-08-07T11:15:27.762445Z digest=sha256:5db9749531bca3c6b0d25da50ed7557781285ac5f4fe9584654cc7b2c9f4b9f9

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=sha256:89b18d4d9d85f2abf2b912f81597627ebb3f4c0adb1d4e61726961c188631486

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:27.879113Z digest=sha256:d6d7b93cee0e043dd803d345de7191fc9069486caa5ef806a9add9feb846ab55

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=sha256:954b65cf2238ccd85c9abf773e23791e3caa68ac9097b6921556a0368831ee28

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=sha256:556669c52e0612c7938771856ff2df1eda112710c83f97876d437c9b3725c7e5

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=sha256:6c544141fdda4a1b89240c5ffd672126878b8eb653445c25bf11c3b53959b25f

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=sha256:133a3eb516064db0c6664797ef91293a3acb4bca6e829e238abd7f0f9dbd26cf

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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unresolved
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=sha256:58db4705f3e068b5c030b71649af038e917ed0af12e78cad419c34b90bb41176

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:15:27.909683Z digest=sha256:dee89c88c63e134d646d1df3cf06649ba27a9437876eec5fdf37e8bd60edca14

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

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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=sha256:1f4226259b993f6eefdf9975f1ef6a38bda376744b8472294b8049e60e7579c7

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=sha256:0c71812604d5bb4347bfa042d5df1fc4de36a5351ca7e587a9ed3c3f73dc0de2

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=sha256:6bc5321054c7d89d5001f35bb3af02bfddd4d163212cbb7c12d03349a8dc2e82

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
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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:c3d38b7aec3942c38a6fcea47bc10079b520903feb28e6dbe924cfb0af5cb28b

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:f94c12b108870327b71c06376ce63270f5f314133cd5d99793a95405f2d25f8e

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:d1e44f059b8b1687ccff087945d6c29d9f1bd8e83ccaa1b90656d4d649c60359

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
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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:c0245835a4080a9106da47a622845e26e2d377b1d7e72fa31cfe766e713875a3

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:fdd7a9ba4407c1b6e0902ac3689630c089e43f0dff46430673f846cdf199de58

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=sha256:9347013d4fe020f4881b657351536e940c8f52a7d4613de9651c22d7a86645bf

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=sha256:38b02d5dd26e6f2f5a0e89be806ef094d629f9ed5701c5e4f4b39182e9890f27

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T05:47:24.669763Z digest=sha256:5ef2906b10b8b9d2ac68eb1ca3cc7e9743d0dd09b22b28a2f1afd129061c055a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:5b3807e7ef3e57d28ead65158409633ac818e0748823f3e22e9cf9c340b90ad7

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=sha256:029a9f0291d401c8853451f0941acc06c58011344f8d3ef141ba44ae8306a69b