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Paper Citation Record · LEDGER

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2605.20808.

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

pith.paper-citation-record.v1
2605.20808 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:26:29.331382Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:35:39.863457Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact19
  • verified fuzzy29
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a895a95-5c54-451c-b8b1-00bd1ed0018e · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Photorealistic text-to- image diffusion models with deep language understanding

Reference 1

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 13bb182f-880f-4a2a-ad78-30fd2990fa7e · outbound

This paper cites Imagen 3.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Imagen 3

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3c7ef8f8-7d29-427a-a673-cbd24d63dad1 · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 3

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 071900ae-e5b2-4a5a-a4fb-61f42f800fcc · outbound

This paper cites Improving image generation with better captions.Computer Science.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Improving image generation with better captions.Computer Science

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 46378ae8-087e-4f4a-b079-627bd6d96a13 · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis High-resolution image synthesis with latent diffusion models

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dbfe16f1-a335-4ff0-9ddf-7a042ec862a3 · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Scaling rectified flow transformers for high-resolution image synthesis

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5f9d528c-ff8f-4df4-a47f-8c49d239a6a8 · outbound

This paper cites Flux.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Flux

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6716fd7b-9775-4178-8a87-b568fea3e8a6 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Emerging properties in self-supervised vision transformers

Reference 8

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Observation df81a482-3590-4e81-892c-a86348cf43e7 · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis DINOv2: Learning Robust Visual Features without Supervision

Reference 9

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verified exact
local_arxiv, observed 2026-05-21T05:29:39.677403Z

Source-reported events for the cited work

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Observation f536d63c-ba92-409b-bb97-2481964d09ef · outbound

This paper cites DINOv3.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis DINOv3

Reference 10

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local_arxiv, observed 2026-05-21T05:29:39.674436Z

Source-reported events for the cited work

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Observation e1644fef-55cc-4bc5-9499-052b925f2eb3 · outbound

This paper cites Segment anything.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Segment anything

Reference 11

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Source-reported events for the cited work

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Observation a49d75d9-2567-44d4-8ed7-6b4a993b1488 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis SAM 2: Segment Anything in Images and Videos

Reference 12

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verified exact
local_arxiv, observed 2026-05-21T05:29:39.650229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c2ff7eb5-cab3-4389-9178-5a150e0043f6 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis SAM 3: Segment Anything with Concepts

Reference 13

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local_arxiv, observed 2026-05-21T05:29:39.683233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 58dad915-7c2a-48cb-bfe6-d9a3fac471db · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 14

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5aed0e8d-b4ae-4a28-9b48-00cffa04933b · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis What matters for representation alignment: Global information or spatial structure?

Reference 15

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verified exact
arxiv_id, observed 2026-05-21T05:29:39.668154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4a2c2c6b-f00b-43ef-92a3-eac2ac3735fe · outbound

This paper cites REPA-E: Unlocking vae for end-to-end tuning of latent diffusion transformers.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis REPA-E: Unlocking vae for end-to-end tuning of latent diffusion transformers

Reference 16

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raw_fallback, observed 2026-05-21T09:24:06.367092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 72edf86a-f41a-47bd-940e-6b00d09181f9 · outbound

This paper cites Reconstruction vs.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Reconstruction vs

Reference 17

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Source-reported events for the cited work

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Observation 17578e02-2694-4034-baa4-30a847800191 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Diffusion Transformers with Representation Autoencoders

Reference 18

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Observation d5b3aa8f-d927-4930-be4a-2dfbfd9f035d · outbound

This paper cites Both semantics and reconstruction matter: Making representation encoders ready for text-to-image generation and editing.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Both semantics and reconstruction matter: Making representation encoders ready for text-to-image generation and editing

Reference 19

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arxiv_id, observed 2026-05-21T05:29:39.661725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 96d4b8a1-a971-4de9-9983-54fcda557aaf · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Imagenet: A large-scale hierarchical image database

Reference 20

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Observation 44801168-8ded-413e-829f-4a1c22fcb6f2 · outbound

This paper cites Auto-Encoding Variational Bayes.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Auto-Encoding Variational Bayes

Reference 21

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Source-reported events for the cited work

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Observation 48c4b960-d55c-4ef5-9e0f-74179cae115e · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Neural discrete representation learning.Advances in neural information processing systems, 30

Reference 22

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Observation f4affd75-3293-48f1-a211-4a07b95cb626 · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Taming 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 2026-08-20T06:33:59.587034+00:00.

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Observation 40a0794e-8f3b-4b4b-bc8c-e951ac2c56df · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis GANs trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30

Reference 24

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Observation d4d4728d-1781-458d-81bb-219e66cba343 · outbound

This paper cites UltraPixel: Advancing ultra high-resolution image synthesis to new peaks.Advances in Neural Information Processing Systems, 37:111131–111171.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis UltraPixel: Advancing ultra high-resolution image synthesis to new peaks.Advances in Neural Information Processing Systems, 37:111131–111171

Reference 25

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Observation e2d99e17-6c5d-4c86-8d58-3d8ff887784a · outbound

This paper cites Ultrahr-100k: En- hancing uhr image synthesis with a large-scale high-quality dataset.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Ultrahr-100k: En- hancing uhr image synthesis with a large-scale high-quality dataset

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dd835528-53a0-433e-82ea-dc20cb89ec7f · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ff0480dd-a694-4ded-aaf4-44634a3c443a · outbound

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

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 28

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arxiv_id, observed 2026-05-21T05:29:39.614064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:dff7125a7c4a2e292cf8293cdae3a4e02f7c36ae5505f47dc9a9c5640ae43a48

Observation 0601b6e0-2948-4058-957d-e2b9bda56ca4 · outbound

This paper cites Diffusion-4K: Ultra-high-resolution im- age synthesis with latent diffusion models.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Diffusion-4K: Ultra-high-resolution im- age synthesis with latent diffusion models

Reference 29

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raw_fallback, observed 2026-05-21T05:34:41.101783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1d4e8d2d-93ab-4244-adeb-1d2c89f0dd87 · outbound

This paper cites Ultraimage: Rethinking resolution extrapolation in image diffusion transformers.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Ultraimage: Rethinking resolution extrapolation in image diffusion transformers

Reference 30

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arxiv_id, observed 2026-05-21T05:29:39.635046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8b48c6b6-9c1f-420a-9714-2eb09ac5a9e4 · outbound

This paper cites Scalable diffusion models with transformers.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Scalable diffusion models with transformers

Reference 31

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raw_fallback, observed 2026-05-21T05:34:41.103951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 222e10a4-b321-4d97-b1d0-90381d598548 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 32

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raw_fallback, observed 2026-05-21T05:34:41.099784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:1cae77389de9bff02e06f6999ee913ea4148eef1a29a4a85db149677f5634463

Observation 8e9261cf-9d9c-45b2-a700-ceb80a4f42e0 · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Back to Basics: Let Denoising Generative Models Denoise

Reference 33

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local_arxiv, observed 2026-05-21T05:29:39.628883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:1ad315f97bd01da1b80f423ea0062abc733a35d55bd060156373307efb8bc9fa

Observation 2f71d84d-8e52-4ac6-a527-628390e1d5c6 · outbound

This paper cites Scaling text-to-image diffusion transformers with representation autoencoders.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Scaling text-to-image diffusion transformers with representation autoencoders

Reference 34

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verified exact
arxiv_id, observed 2026-05-21T05:29:39.631940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:a9555b13db587d020b9c5ac0b359d99c39c71f93d82ee9264569d7270bcfeb0d

Observation 781dde1c-e01a-43c4-b73e-8664dc9005fe · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:19:57.790947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:e4a969d841272cc65ce827f08c1d2c949d91b0da21a62ee28a37739b6ece1104

Observation 3359c121-ccba-4154-876f-a6d5dfb91979 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Improved denoising diffusion probabilistic models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.095254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:6962f6fc4fa35061e5378b8a30e224225e92157d68aa8b9af4451cf5e51abd16

Observation d522f5dc-5bca-4d10-8235-1cb9d26d9af6 · outbound

This paper cites Flow Matching for Generative Modeling.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Flow Matching for Generative Modeling

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:29:39.619899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:16e0d9df086bef068b455f0c6b9f7d29f8cb169b893f9974afe8c9f44188d896

Observation cd3cfdcd-f3e0-4e17-bce2-a0c4f1e86f15 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Building Normalizing Flows with Stochastic Interpolants

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:29:39.617136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:d87dfd25b54ec4d9f3d0375ade7fe674405e61f0087f5f65d5530f2d8c5c8768

Observation 14c434fd-fee4-455e-bc35-fd164351e01a · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:29:39.639410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:ba7ae8e4c72c00a8742f0d6f0faf3d7fda89dfdb44cc5c4c84e485f38e26a56e

Observation e4378f01-936c-4241-8c9f-b3310203a143 · outbound

This paper cites VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T05:29:39.647375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:b1f34640e362fda9d45f145afc53ce53fa3362aa4118440eab763aa770d7a25e

Observation ef497554-483e-40ef-b62c-ddf4a42d5d34 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis The unreasonable effectiveness of deep features as a perceptual metric

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.097488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:9e9dd2be75408d30a9133ca424903103a62066092a021b6e35fbf1ffbca58ee5

Observation 8c325919-da2e-496e-a431-aa023fb6e569 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Image-to-image translation with conditional adversarial networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.106075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:571e58e1f1257e85577545ac3e3fefabc8f00747019e41a62715a4a66a32bcd6

Observation 347f1b71-ada2-4e1f-8a2f-65b2252c052c · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis A style-based generator architecture for generative adversarial networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.113460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:82e9b57c75f71a6e9a9df11b6ce1f1e273b959603644b913eb71112b20c6668e

Observation 0340c18a-d783-45f7-81ed-1ac3a9739db0 · outbound

This paper cites The Mapillary Vistas dataset for semantic understanding of street scenes.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis The Mapillary Vistas dataset for semantic understanding of street scenes

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.089528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:18d77b9a238abf9d9f8369276f67f1881b952344437040bc1752ee998f75d4f7

Observation 07ae03a2-d56b-4ff6-947f-bba81eb2dc3c · outbound

This paper cites Decoupled Weight Decay Regularization.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Decoupled Weight Decay Regularization

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-21T05:29:39.643306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:be99bb6aad71248acb00110ff92ab448dfad69eb0faded62cdb3ae0760a59a36

Observation 105d97aa-069a-46d1-8d85-ef5ad0b39beb · outbound

This paper cites ZeRO: Memory optimizations toward training trillion parameter models.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis ZeRO: Memory optimizations toward training trillion parameter models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.091525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:442ebf3c6386d4c711ddd15f53b8dc882cfcd0e413c05b04097e52e891e98fe7

Observation 97f69731-015d-48db-bb24-9b346aeb2155 · outbound

This paper cites ClipScore: A reference-free evaluation metric for image captioning.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis ClipScore: A reference-free evaluation metric for image captioning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.085503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:e89e0f77ffa33b9a1a4d46b7d0c26dec91a41b1affe0244f4aaaffbe39cf0a26

Observation 58b5e016-9164-4805-9080-c552a9579762 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis LAION-5B: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:19:57.793809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:ba3f9c3f4985ebd28a711c56413b23a2a058b29a2b6da45ab86f866fcf83cc29

Observation bd1afc18-ae2a-4dc0-954a-b7c2a737b49d · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.083393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:82294ceab38bf25400febf3308ff0154d23bb4c71f270403b3d78c10b5a06396

Observation 20071e2a-9976-41f3-ac0a-f9fb2751ff6f · outbound

This paper cites FLUX.2: Analyzing and enhancing the latent space of FLUX – representation comparison.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis FLUX.2: Analyzing and enhancing the latent space of FLUX – representation comparison

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.087565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:845b8df4950f7f7360189ce2c3e446337a50820846bb7bc6c3862cd47214b861

Observation be29820f-0cea-4caf-843d-639639205112 · outbound

This paper cites A useful variant of the Davis–Kahan theorem for statisticians.Biometrika, 102(2):315–323.

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis A useful variant of the Davis–Kahan theorem for statisticians.Biometrika, 102(2):315–323

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T05:34:41.093422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:26:29.331382Z digest=sha256:e20d9fef1af9479c6ad0c48b3e28bacab70c85c7af528e6608c48122b99e1400

Pith citing papers

Observation b5596d73-1ebd-4d37-8001-be108b7dac3e · inbound

Pixel-Space Diffusion Transformers cites this paper.

Pixel-Space Diffusion Transformers Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-01T17:35:39.863457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:35:39.863457Z digest=sha256:df774818aa7dd330de97396e89816c336f60616260d68ff5ca59375b8f9f6455