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Paper Citation Record · LEDGER

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2506.21022.

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

pith.paper-citation-record.v1
2506.21022 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:43:05.170991Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T16:57:09.843691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T17:00:24.175426Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a28e2f8b-1b19-4c7a-b846-c131a6f71ea1 · outbound

This paper cites Brown, B.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Brown, B

Reference 1

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source=pdf_text observed=2026-08-06T22:43:02.524483Z digest=sha256:e0128b8e9ed0a39f2fa801b668bbc6ca1e1ecd12751ae003feb790f05bc2014e

Observation 256a1065-dac2-42de-9c16-f79c245a3389 · outbound

This paper cites Restructuring Vector Quantization with the Rotation Trick.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Restructuring Vector Quantization with the Rotation Trick

Reference 6

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source=pdf_text observed=2026-08-06T22:43:02.909159Z digest=sha256:0c3dcd3fd903d28b44ada516a193b0190edc2cbecb1f4b7bffba8cb3bda06169

Observation 5244ed3a-2046-4a49-a4ee-77feb14e17cc · outbound

This paper cites Planting a SEED of Vision in Large Language Model.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Planting a SEED of Vision in Large Language Model

Reference 7

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source=pdf_text observed=2026-08-06T22:43:02.997268Z digest=sha256:130c4e4cbaf0c0a647821d7fd681482f98b1015c4af3ebb0129d6b4cef937bb1

Observation 9d7b11e3-35cd-404c-8363-dc1d5de488b7 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 9

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source=pdf_text observed=2026-08-06T22:43:03.164359Z digest=sha256:d7ff60d4f434398b2506664ddd9e6b5b32ca32345bf34fc84036f4687b57edbc

Observation 43a94681-5db4-4ee2-8628-a3441886104e · outbound

This paper cites Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens

Reference 12

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source=pdf_text observed=2026-08-06T22:43:03.441915Z digest=sha256:ddd68c7cf9d974d32fc7feb56cd83fa1dea22846464f638f52b163a069b23c27

Observation 5cc0ecfc-1e53-43d2-ab8b-eca38efb213d · outbound

This paper cites MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Reference 14

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local_arxiv, observed 2026-08-06T22:43:05.895490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:43:03.652275Z digest=sha256:9c1cc1db6381281db7124d571f2cd0c85f33d59e2242a2910db61a7a8626103a

Observation 6ab364d6-2002-4fab-b4a4-4e1c7795a1d8 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Scalable Diffusion Models with Transformers

Reference 15

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source=pdf_text observed=2026-08-06T22:43:03.755537Z digest=sha256:e10742aa66cb2e436fe70c9d92fd33d9f350f674baa305f9dcb5af9248b23784

Observation 78609e91-2f10-4de1-8f9d-266779a24f78 · outbound

This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Reference 16

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source=pdf_text observed=2026-08-06T22:43:03.846195Z digest=sha256:c35b6c6e70d163ffc6db4e517392fb254f2604dc977cd6fe9e48198f5e4facf7

Observation 0a5760c8-e2ac-498b-b196-ba52dd1c997c · outbound

This paper cites SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

Reference 18

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source=pdf_text observed=2026-08-06T22:43:04.035889Z digest=sha256:610ef6274b2cf2a70eb604386b06f562bc81a09ab80d3e1e0af94b4072fa9bdd

Observation 89efb6c2-0df3-4b76-bb71-fd099a7c9fdb · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 19

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source=pdf_text observed=2026-08-06T22:43:04.151671Z digest=sha256:246dea84fd63ff7f8293711d1b3afbac2bcea0c73999b1f0e0c29d6a16a8bee7

Observation 7e1f0a75-9876-4c36-8caa-c1527bff8700 · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 20

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source=pdf_text observed=2026-08-06T22:43:04.234499Z digest=sha256:7108ec335cca548529899e80a2e3d6a30d541bb35e97f7e9861ebf4aa7d8f168

Observation 4a5369ec-9bba-43de-bfc4-8aca4367af45 · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 22

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source=pdf_text observed=2026-08-06T22:43:04.421711Z digest=sha256:cf4e228995b24e16a7ecca7d4fadf9aaedf70983995c83be350da35178e615c0

Observation e7393e11-46e1-4417-b8ef-3e01f8a137b6 · outbound

This paper cites Liquid: Language Models are Scalable and Unified Multi-modal Generators.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Liquid: Language Models are Scalable and Unified Multi-modal Generators

Reference 23

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source=pdf_text observed=2026-08-06T22:43:04.510524Z digest=sha256:06d1b962d9881c3345d86358257ae11aaa91a8fa7e0663d4d384d4a410ff8d29

Observation 276af69c-105b-4fc3-b88f-203bd3e45c1a · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Vector-quantized Image Modeling with Improved VQGAN

Reference 24

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source=pdf_text observed=2026-08-06T22:43:04.607586Z digest=sha256:429feae7ad92b7f26c2afe2fe4accde9161aa2a84409ac56ed27d36b187d0475

Observation 97c6b236-800c-42a5-8c4d-0f0cb0fda1c2 · outbound

This paper cites An Image is Worth 32 Tokens for Reconstruction and Generation.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation An Image is Worth 32 Tokens for Reconstruction and Generation

Reference 25

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source=pdf_text observed=2026-08-06T22:43:04.678813Z digest=sha256:d336a6b178c2a0a89df8bdf035da7085fc9b847ea18d00f4fd7203fb94e96586

Observation 9517e8f8-eb87-4c9c-aa54-25bb22fa2954 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 26

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source=pdf_text observed=2026-08-06T22:43:04.768971Z digest=sha256:d2833e5b10568d3f7cf381469ec1c7583c039073383579d13fdd3f59e30da8b1

Observation a7e1eed5-9df1-42c0-85e5-7ae62f1c7419 · outbound

This paper cites an unresolved cited work.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-06T22:43:04.873245Z digest=sha256:b641dd111e6d64ca77a2f338eafb30eedaf85472dddd81e035136b0627183b42

Observation cd3cdd43-3777-40cd-aaf1-1e35af05d4e1 · outbound

This paper cites VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

Reference 28

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source=pdf_text observed=2026-08-06T22:43:04.966173Z digest=sha256:abe6d61b517a1a97eba81073dded5d671b8251cacd732ff3a2b9e160ea7cfca5

Observation b7f01f86-0f3a-4a76-9517-81ab385ac3cb · outbound

This paper cites an unresolved cited work.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:43:05.021066Z digest=sha256:0e372057f8cd370e6a40d00f980e6aa23e7fb2020303031ab2a054f050f53e19

Observation 408425cc-57d3-4082-bcd5-3d44444cb4fc · outbound

This paper cites FID score.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation FID score

Reference 256

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:43:05.170991Z digest=sha256:7df18576457e2daec39877d5f9d3408a03cef0e36cf964eb7a93ed81fa568084

Observation 1556145e-f317-4c3e-81cd-4f55dcc8bb5d · outbound

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

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2016

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source=pdf_text observed=2026-08-06T22:43:02.770101Z digest=sha256:d3950459080a122925d5246076a4e2e02e5fca9dab324c6b4cef321c33d55dad

Observation cfcb9d56-e96b-428f-92e4-6cdd0036828d · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Emu3: Next-Token Prediction is All You Need

Reference 2017

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source=pdf_text observed=2026-08-06T22:43:04.328286Z digest=sha256:e391d80ea9c13f595791bb47be163bee7d597ba96ee7054499439c511b8abf15

Observation 07815342-8c92-4612-8fb5-c6c085ca1620 · outbound

This paper cites Image-to-Image Translation with Conditional Adversarial Networks.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Image-to-Image Translation with Conditional Adversarial Networks

Reference 2018

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source=pdf_text observed=2026-08-06T22:43:03.344693Z digest=sha256:796bf6fe913aed36558fde35a4db08d133056a2d454a506cc1bf1c5b1c90ecf8

Observation 6fa2eb6d-b9a3-4271-a4d1-3cc7a56920d8 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 2019

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source=pdf_text observed=2026-08-06T22:43:03.934104Z digest=sha256:9b6cb42aa9031118fb84d59121982aa4afb9e261b10caae3f28c1d3503c64653

Observation 5fb56690-c98d-43a6-b003-2eb6d4fb6187 · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 2020

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source=pdf_text observed=2026-08-06T22:43:03.078320Z digest=sha256:24bdfb30d0a38e27183a137067efab910ab176bdfcb4b12a91b9c0129633e4d2

Observation 2708c8da-e3a7-4a17-ae24-fcdefc767149 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Classifier-Free Diffusion Guidance

Reference 2021

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source=pdf_text observed=2026-08-06T22:43:03.258655Z digest=sha256:6fd8a152a6fb70595b805ad4d9cfa99d9ef0fee1c7c35ea696aa91affecd26f2

Observation 6dc25a1b-3f61-4441-9f92-a23befcb70be · outbound

This paper cites MaskGIT: Masked Generative Image Transformer.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation MaskGIT: Masked Generative Image Transformer

Reference 2022

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source=pdf_text observed=2026-08-06T22:43:02.628472Z digest=sha256:83effe9fccfd80ba6aa73c087e54c48c07ea3fb588b55f9465420a4567de9875

Observation 3913c8b6-1a18-49b6-8969-9b05bb6e4b43 · outbound

This paper cites SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer

Reference 2023

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source=pdf_text observed=2026-08-06T22:43:02.699039Z digest=sha256:863345d5a90aac7a0c65192f60753308db82224349721da76c6c1d83158b03a1

Observation 541dd781-ed8a-4eba-8946-5c6b248cb826 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 2024

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source=pdf_text observed=2026-08-06T22:43:02.839383Z digest=sha256:38f7d3789a5771976d8af4083b94be11b37bc6346c90ad305775dcd2dbcffa79

Observation 1fed1e66-4b1f-4cbe-b1a2-a0e68b122acc · outbound

This paper cites Auto-Encoding Variational Bayes.

Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation Auto-Encoding Variational Bayes

Reference 2025

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source=pdf_text observed=2026-08-06T22:43:03.560269Z digest=sha256:8eb48238fb611e6d00de83d2d17cc9a8177b1b4caaeae5bab6b264a5d61062de

Pith citing papers

Observation 2dea0aae-9850-45b6-bbfc-0890a22cfa8b · inbound

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation cites this paper.

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation

Reference 65

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arxiv_id, observed 2026-05-21T17:00:24.178445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T16:57:09.843691Z digest=sha256:d23b329ffd18a8e2a8eb2376a851067307e686456c138f0481653d6fda9c5596

Observation 6502a31f-1309-4cda-a96c-c72a29e05738 · 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 Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation

Reference 44

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arxiv_id, observed 2026-05-11T21:51:11.622758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:7eef869c1a8874e181d65771f4aa45074623045e4e18f18a2dcf680246bc53c2