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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:45f08859fe96162f1e45ca158f23ba306ae7638c9261e0bae3a73fccd50689b7

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:bc249c36bff6bece5dc67b038c39ef6815c860074d0e6903d2158544a68b3e37

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:fd0ea24acae422305e85361e9de7bef4a64fa193e9ab20dfe1f4e5db7819648e

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=sha256:1bb8482a7d012c8d3414cb9c8b8f5a78907cecffe4afb293a7653a6031d7b6c4

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:c46c2a3bd4da5b9e528d51db66d7b712286318dfde3d688fa713ddd83154adf0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:43:03.652275Z digest=sha256:726444bfa5ac442b914fd1e58a21638d481cb0ff5ca6ddaf43d0172352979983

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=sha256:7dab8870542937701cbe0aabd2ab2dcd41dbf6fcc8eee7597f6f54162b9ed478

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=sha256:4955d0825e230c0ff09b905fe8c834897edd6a79ce151296fa61106e18d93445

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=sha256:6071e3d5d232a0b8db48585de2ac29714b82fbe39d40a1d9e60df86dd490a798

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:d59bcc99a3274a9f8480e7100875fcb7f1a8f441ec28bbe389bcc731dbd9f399

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=sha256:78634b616fae2045576cf0f58aac73edcc4327b545871f9f793c946cb79c5ff5

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:bd36889605991861caaebddfef2a97a91c4fc86a5d24a1eef256411a6e5a7303

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=sha256:916d7986f7c6c4de295f9d0b93f932b4a7de64e0d19092ca1eefe37b6f083d63

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=sha256:9a1f190c6b215bf7a1322e8c81bfec40b04d18bf5b026d90db9c825d20d50d38

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=sha256:9864d08b2e5d67a609c5565ca9c51f0c0e584b6e1938ffecfa96b19ae9eb560e

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:f9f5fa6fc8f18d5a8e7f129bbb2f49b7c372352e61a290b87508a118008d1a50

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=sha256:057a45730ed33f298258d2112fadca2e0b9cb7f63e84431adf1afd1d6cb38593

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=sha256:4b441c0a31b93aad6b00f7d31b18fa439cd3426efa53b11eaac3606dfd92d6ae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:43:05.021066Z digest=sha256:f24a976ddb9c3b00ec6d3f98b7ede57a90f1dc54144fcd4936882a4af8dc889f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:43:05.170991Z digest=sha256:03d34a1b330ee17aaf87dfa70fb33c2cf5138d9b4b507c80a12852571107f960

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=sha256:55fad096aa1e3245fb619447fa690b773c8f636e9a341fc296f948d618bc93d6

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:b3bec4094d5a816b91fb09c89fd08d2313589d20ac78723b802fe00cc2b37db8

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:e1a97adcd72531934170807d5183abf4ce3a94a26a7c45abb9e2ebf9188dced6

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:a1b090a5dbc6320a23d4838c4570b6f93b23928fb3ba6ca7aa2834f46def8de9

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:ba04f4a881e43a133363bd3f71da5baae604780efdb13d186ec94838551e91e7

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:ab56554dc6a303472253d548bc5c90d89ca67a5ed21ea625a5b00ac1842bc45b

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=sha256:5622c215600c4b782269d09f5666b2054f07878fe0f7b7c28fe14cdc2b4b0997

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=sha256:99100ff17c9c1f3f1e329b0a8bfa6906df8d79c6ca4c1e770e73f762cfb62a35

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:02.839383Z digest=sha256:921d5f4af548da50c31ebd5ecf6dc0bc8d88f9b5ffb8b7bb4c7956f7a00e621b

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

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source=pdf_text observed=2026-08-06T22:43:03.560269Z digest=sha256:f574f937bc4911ec4c75f4b7e4c224946c49f37fcf7500b18121440390915c64

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T16:57:09.843691Z digest=sha256:7bfd19da47156af56534ba9d55f5f74a12194a870898400aef89a2426ec76c1d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T04:12:58.100610Z digest=sha256:824e87c3678aee9a6a58ab2843abc697b537a33ad2c69116320e4ea9830c59b2