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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-13T06:32:02.005865+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=sha256:5806c9868949712ef176f9f3c96111071427d6616e5aefff2a1c0315f1d1b494

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=sha256:1e5d8825e4c959611775c822c1555e42090a0755774714efc70facf0ed3d8537

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:e5251a2ac4d3de077ff53220698324ce10fa9cac1506a780cd63346617264a43

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=sha256:45a079e5fdd349453b7be1dc4f7756d627403273f1232b4f9c016c0b1a484dea

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:cc2a7c277e82f66302b0197367cf7b53b945fe65b44cb1e8c13c11d89e867b3f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T22:43:03.652275Z digest=sha256:1ff7ae29ad6ceba3284afd9ddc4ee9e2bb3cece42b4a7706e4178ec1e968f071

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:d6e3e8a8971fa5a99bbd1d61bef561c74d17b6000cd2195782099c6e34cdf610

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:c2335ca2fcfb208964b3c9a6651274eac8e7538d9c2da4146d837850418ac8dc

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:c87c853c95489249c9f0da659835ff44e0f50763c23fa01f80325ce96f689aa1

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=sha256:50e64f5d7a4dcb71a812018d726c724ec86531b3343f617bc3dbd7651131a45d

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=sha256:9f803649d7a5d66f5a3f4e71aa43098501901702a9568c7cf23b0d1fffd9b2db

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=sha256:99f4c5656c09c95c13597e2a121d2e1c44901480e80620ed7ea40a4bc319897b

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=sha256:235c4762b1376db0e642a9464e95691a872f55f086c83f375d0b2793950f7e41

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=sha256:81c0cb504d61b7f7620b4d5fe2808082135407adfb16fbd99d9cb14075f5b1ca

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:a88e51e798d002203774645a6a330e1af451bfa51ee4b8f7fd8b274543d55668

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=sha256:72efa26f30e7b0504b7757f36daed1b42026e37f738720e76796c5763f3df3a9

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=sha256:8c0b5a72d35e63ee79e46090d64a0f2d305b422cd61c5b405ad78d3b21b2ad0a

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=sha256:413f0bbbf816d5275f4a7847e7df11e398b5424ac2b8b3c581b1fcea0deaa219

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T22:43:05.021066Z digest=sha256:a93a835b23a876f1449d8109f64c603ce60e7938005eb27e60a1cf178abc1126

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T22:43:05.170991Z digest=sha256:fd0b3a5124ed0a580eeb0c21175bcf40ebee38dbffcc165eed2ec0ae3cc717b5

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=sha256:74b83612e161b7c438fee386ce9a231f6c39fa51bacdee9a265ae0acf7ae7954

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=sha256:0581a7ae6a9d24e220e6477f74761d34d0e1014c81fd06cd9ab1afd518cab5cd

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=sha256:0a7717463fb19134cb6db7f31db1aa862cf016804b468533be397c6c1fa95cb6

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=sha256:3b7eec3b1159485407bad38ccda7ab66dc104d81d9a03cc84abbeae03ddca674

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=sha256:5828feb200429e9e7c13047584d47785ce52b36d035e1dd642dfe60bc46f2601

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=sha256:546321cd390311951f7eee312140b8713daa47ace39797e5df0bf83e53b77094

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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no resolver link, observed 2026-08-06T22:43:02.628472Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:02.628472Z digest=sha256:f07be3ec9f1fd529d2832649196c12a9d1777553483ba3d35bb851e129f44cbc

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:02.699039Z digest=sha256:9989965051fbfe7ccfad8171603769242d9cfbd2f565d0d77b70aa2a7148e734

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=sha256:799bc428f657e99c89a27c83ec4073627f8876398ea95de91769ee4ac5059bd4

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:03.560269Z digest=sha256:5b559295a15ecf884d72c80f8682f50b29723b642e6c5dc648b6360bee7587a4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T16:57:09.843691Z digest=sha256:0ffef157ff7a5295c04676f68ec0bec067f75811f4b090220fdbab58c3f09083

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:ad481b57382a7b6b5852cb03087cc8fce2a68f0501dba978946ba4bc40687654