Paper Citation Record · LEDGER

Hita: Holistic Tokenizer for Autoregressive Image Generation

As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 6 inbound Pith citation observations for arXiv:2507.02358.

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

pith.paper-citation-record.v1
2507.02358 v4

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:38:59.016813Z

measured 68 of 68 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:08:56.991515Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:15:46.141356Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy25
unresolved34
parse uncertain2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38a7daa6-d817-433f-a789-3a8c4cdfd152 · outbound

This paper cites Qwen Technical Report.

Hita: Holistic Tokenizer for Autoregressive Image Generation Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:52.370560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26bcef4e-bfea-4b47-a269-45b8a038aeb9 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:52.463671Z

Source-reported events for the cited work

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Observation f0cae618-4702-4168-9473-9b49a4c4a42a · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Hita: Holistic Tokenizer for Autoregressive Image Generation PaliGemma: A versatile 3B VLM for transfer

Reference 3

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Source-reported events for the cited work

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Observation 6a6c0e96-5520-4e83-8984-f8992e990257 · outbound

This paper cites Language Models are Few-Shot Learners.

Hita: Holistic Tokenizer for Autoregressive Image Generation Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:52.661610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2d1aca6-9934-4a6f-8e92-5c2120ce748b · outbound

This paper cites Maskgit: Masked generative image transformer.

Hita: Holistic Tokenizer for Autoregressive Image Generation Maskgit: Masked generative image transformer

Reference 5

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Source-reported events for the cited work

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Observation 78ee99b0-abfe-4513-83cc-0b384278d7df · outbound

This paper cites Generative pre- training from pixels.

Hita: Holistic Tokenizer for Autoregressive Image Generation Generative pre- training from pixels

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:04.367468Z

Source-reported events for the cited work

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Observation 6bf58c75-92aa-4dc5-8158-78711f2d82ad · outbound

This paper cites Vision transformers need registers, 2023.

Hita: Holistic Tokenizer for Autoregressive Image Generation Vision transformers need registers, 2023

Reference 7

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Source-reported events for the cited work

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Observation bd26107b-5482-4545-96ec-e301477f2c7e · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation Imagenet: A large-scale hierarchical image database

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:03.961722Z

Source-reported events for the cited work

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Observation 09815a26-6932-453e-8eb4-1e6aa7d6c800 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Hita: Holistic Tokenizer for Autoregressive Image Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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Source-reported events for the cited work

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Observation c4afe126-cff9-4c55-823f-a13829e17d81 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Hita: Holistic Tokenizer for Autoregressive Image Generation Diffusion models beat gans on image synthesis

Reference 10

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Source-reported events for the cited work

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Observation a87c79cf-73ab-4575-9598-d4760d41a977 · outbound

This paper cites Scalable Pre-training of Large Autoregressive Image Models.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scalable Pre-training of Large Autoregressive Image Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:53.354253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e48bbf-9dd6-42d0-966e-7733573e78bb · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation Taming transformers for high-resolution image synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:03.570862Z

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.

Observation 252b5d1f-2fa6-44ba-9913-5a91f4bbdfc1 · outbound

This paper cites Bard, 2023.

Hita: Holistic Tokenizer for Autoregressive Image Generation Bard, 2023

Reference 13

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Source-reported events for the cited work

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Observation 5dd010f8-adac-42a8-8a97-432f3f39ae80 · outbound

This paper cites Deep residual learning for image recognition.

Hita: Holistic Tokenizer for Autoregressive Image Generation Deep residual learning for image recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:03.279659Z

Source-reported events for the cited work

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Observation 6ff93a87-2e27-4d7c-8415-f1dfc9127758 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Hita: Holistic Tokenizer for Autoregressive Image Generation Masked autoencoders are scalable vision learners

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:03.116615Z

Source-reported events for the cited work

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Observation bf617df7-6a61-4783-a33b-30d5a1518c0c · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling Laws for Autoregressive Generative Modeling

Reference 16

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Source-reported events for the cited work

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Observation a6ad18ef-808a-4947-a520-9ace8aef4962 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Hita: Holistic Tokenizer for Autoregressive Image Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:53.982040Z

Source-reported events for the cited work

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Observation 0eb50e1d-dcee-40e5-995b-2fcdf09fe20d · outbound

This paper cites Classifier-Free Diffusion Guidance.

Hita: Holistic Tokenizer for Autoregressive Image Generation Classifier-Free Diffusion Guidance

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8804c6a8-a0b1-484b-b985-8ff63bf3a477 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Cascaded diffu- sion models for high fidelity image generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:02.919211Z

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.

Observation d2c84141-fda2-44a5-bfc2-43702f3540a6 · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation Image-to-image translation with conditional adver- sarial networks

Reference 20

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Source-reported events for the cited work

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Observation f0cf46fe-5814-49b2-9866-2f7da5f4680e · outbound

This paper cites Scal- ing up gans for text-to-image synthesis.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scal- ing up gans for text-to-image synthesis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:02.737625Z

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.

Observation ea571856-f4ef-4846-aea3-f5a4519b682b · outbound

This paper cites Scaling Laws for Neural Language Models.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling Laws for Neural Language Models

Reference 22

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Source-reported events for the cited work

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Observation 6133d91a-e062-42ed-9223-0c70b3434c7f · outbound

This paper cites Auto-Encoding Variational Bayes.

Hita: Holistic Tokenizer for Autoregressive Image Generation Auto-Encoding Variational Bayes

Reference 23

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Source-reported events for the cited work

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Observation 194bf243-bd23-4617-b4c0-cb48ff39a332 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

Hita: Holistic Tokenizer for Autoregressive Image Generation The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:02.560207Z

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.

Observation e95f4f2a-e9be-40b6-96a6-bc5de225b262 · outbound

This paper cites Improved precision and recall met- ric for assessing generative models.

Hita: Holistic Tokenizer for Autoregressive Image Generation Improved precision and recall met- ric for assessing generative models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:02.381655Z

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.

Observation 8f3074bb-2efe-4a84-bc4c-07648556f66e · outbound

This paper cites Autoregressive image generation using residual quantization.

Hita: Holistic Tokenizer for Autoregressive Image Generation Autoregressive image generation using residual quantization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:02.195683Z

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.

Observation 11f53f2a-9ad8-48f1-b5bc-c20e4fc7800d · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Hita: Holistic Tokenizer for Autoregressive Image Generation Autoregressive Image Generation without Vector Quantization

Reference 27

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Source-reported events for the cited work

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Observation 0e5809fd-d78d-4b70-be8e-134b593f4b10 · outbound

This paper cites Can ood object detectors learn from founda- tion models? In European Conference on Computer Vision, pages 213–231.

Hita: Holistic Tokenizer for Autoregressive Image Generation Can ood object detectors learn from founda- tion models? In European Conference on Computer Vision, pages 213–231

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:01.981059Z

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.

Observation fcfe8a77-6e6f-4450-9185-deafc84b21d6 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 29

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Source-reported events for the cited work

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Observation 8697f5c9-d9f9-4162-b67a-3a4eea8a129b · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Hita: Holistic Tokenizer for Autoregressive Image Generation Finite Scalar Quantization: VQ-VAE Made Simple

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:55.373481Z

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Observation 84cfb75a-522f-4625-97cc-245a98ad51c1 · outbound

This paper cites Chatgpt, 2022.

Hita: Holistic Tokenizer for Autoregressive Image Generation Chatgpt, 2022

Reference 31

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Source-reported events for the cited work

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Observation 8c5d375c-8c99-42c1-b5c6-8232315e88b9 · outbound

This paper cites Scalable diffusion models with transformers.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scalable diffusion models with transformers

Reference 32

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Source-reported events for the cited work

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Observation f482462e-5fb0-44ca-a291-2cf43e445166 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Hita: Holistic Tokenizer for Autoregressive Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 33

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Observation c024bb86-250e-42fe-a37f-64b4dfd20df0 · outbound

This paper cites Improving language understanding by gener- ative pre-training.

Hita: Holistic Tokenizer for Autoregressive Image Generation Improving language understanding by gener- ative pre-training

Reference 34

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Observation 90550810-4507-42c6-a770-02899ca4494b · outbound

This paper cites Language models are unsu- pervised multitask learners.

Hita: Holistic Tokenizer for Autoregressive Image Generation Language models are unsu- pervised multitask learners

Reference 35

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Observation 8b9b47ee-d9c0-4903-ba2e-f53a6e33b937 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Hita: Holistic Tokenizer for Autoregressive Image Generation Learning transferable visual models from natural language supervi- sion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:01.390968Z

Source-reported events for the cited work

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Observation 61f741a3-8025-4b0b-88b7-84bdd609e747 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Hita: Holistic Tokenizer for Autoregressive Image Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 37

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Observation da487f64-e186-4b8c-8bc5-a8a5b7a4b60b · outbound

This paper cites Zero-shot text-to-image generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Zero-shot text-to-image generation

Reference 38

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Observation 596ddcf9-5829-46db-a754-a5a015f633fe · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2.

Hita: Holistic Tokenizer for Autoregressive Image Generation Gener- ating diverse high-fidelity images with vq-vae-2

Reference 39

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Observation 1bd6eaa0-930d-478b-989c-6d5b7ce36292 · outbound

This paper cites Gener- ating diverse high-fidelity images with vq-vae-2.

Hita: Holistic Tokenizer for Autoregressive Image Generation Gener- ating diverse high-fidelity images with vq-vae-2

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:00.739219Z

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Observation 716eab44-9570-4f39-8a05-ff68bd8e2df2 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

Hita: Holistic Tokenizer for Autoregressive Image Generation High-resolution image syn- thesis with latent diffusion models, 2021

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:00.542257Z

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Observation 085de32d-4c83-431f-96b6-1d17a61a6e54 · outbound

This paper cites Improved techniques for training gans.

Hita: Holistic Tokenizer for Autoregressive Image Generation Improved techniques for training gans

Reference 42

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Observation 5207939e-56c9-4e37-8936-00aa2188182d · outbound

This paper cites Scaling stylegan to large diverse datasets.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling stylegan to large diverse datasets

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:39:00.137125Z

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Observation e4580822-a7f2-4966-b05a-8706305df4d9 · outbound

This paper cites Denoising Diffusion Implicit Models.

Hita: Holistic Tokenizer for Autoregressive Image Generation Denoising Diffusion Implicit Models

Reference 44

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Observation cae115fe-7b40-4e33-ba1e-c0e49869ebf3 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Hita: Holistic Tokenizer for Autoregressive Image Generation Roformer: Enhanced transformer with rotary position embedding

Reference 45

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Observation d123d1e1-29a5-4d51-9fb2-57ab8efe9b44 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:56.919368Z

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Observation 0545d7ab-e8ab-4af0-aa92-0f0e0a056a55 · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 47

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Observation f5f598eb-b3e3-4524-b662-14dcfddad4be · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Hita: Holistic Tokenizer for Autoregressive Image Generation LLaMA: Open and Efficient Foundation Language Models

Reference 48

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Source-reported events for the cited work

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Observation 36fb175c-1dd8-4393-9906-a66607c977e2 · outbound

This paper cites Conditional image genera- tion with pixelcnn decoders.

Hita: Holistic Tokenizer for Autoregressive Image Generation Conditional image genera- tion with pixelcnn decoders

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:38:59.941319Z

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Observation 34d65770-90a1-42b0-868e-139725bf6c31 · outbound

This paper cites Neural discrete representation learning.

Hita: Holistic Tokenizer for Autoregressive Image Generation Neural discrete representation learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:38:59.720741Z

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Observation c038c626-54e8-47ef-a726-6173a8b43b78 · outbound

This paper cites Attention is all you need.

Hita: Holistic Tokenizer for Autoregressive Image Generation Attention is all you need

Reference 51

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Source-reported events for the cited work

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Observation ea5a5c3b-0972-4db0-ab9a-265f5817e67e · outbound

This paper cites Recon- structive visual instruction tuning.

Hita: Holistic Tokenizer for Autoregressive Image Generation Recon- structive visual instruction tuning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:38:59.508204Z

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.

Observation 0786b244-b449-42fc-9241-b9291128dd20 · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 53

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Observation 89feb30a-2973-4832-8d8c-fdecdfb6844b · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation Vector-quantized Image Modeling with Improved VQGAN

Reference 55

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Observation efce1fec-01bf-4eb8-b361-4439f5f9c537 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.143921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcfd4529-befd-47c1-a6ec-8b0119b5a0d2 · outbound

This paper cites Magvit: Masked generative video transformer.

Hita: Holistic Tokenizer for Autoregressive Image Generation Magvit: Masked generative video transformer

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.299612Z

Source-reported events for the cited work

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Observation d1a0d0b0-9707-4e2b-8678-e2f9d0d1584b · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.432446Z

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Observation 4b2fd8ff-3c60-4015-bbfc-aa3e9bcfd79f · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation An Image is Worth 32 Tokens for Reconstruction and Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.541916Z

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Observation 712c362b-dd7b-4bea-9a69-564876f8923d · outbound

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

Hita: Holistic Tokenizer for Autoregressive Image Generation The unreasonable effectiveness of deep features as a perceptual metric

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.654597Z

Source-reported events for the cited work

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Observation 05fc0137-ac8e-43b0-a1ef-80a6319e9a43 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Hita: Holistic Tokenizer for Autoregressive Image Generation OPT: Open Pre-trained Transformer Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.785878Z

Source-reported events for the cited work

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Observation ed2c56b1-8b6e-4b80-9ec4-5b1d9e66cd5e · outbound

This paper cites Movq: Modulating quantized vectors for high- fidelity image generation.

Hita: Holistic Tokenizer for Autoregressive Image Generation Movq: Modulating quantized vectors for high- fidelity image generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:58.888409Z

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Observation 3c5cddd5-da6d-4fec-a0e4-672898b727ba · outbound

This paper cites Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%.

Hita: Holistic Tokenizer for Autoregressive Image Generation Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-08-06T20:38:59.016813Z

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Pith citing papers

Observation bb3e2471-db05-46b2-8b51-ec49be88e55f · 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 Hita: Holistic Tokenizer for Autoregressive Image Generation

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:00:24.115442Z

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.

Observation 905ba60f-6e16-45a7-972a-3ec9d6c518a9 · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue Hita: Holistic Tokenizer for Autoregressive Image Generation

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:06.131823Z

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.

Observation df5d4649-99d5-4acc-b5ba-e27dff8ba9c9 · inbound

Autoregressive Visual Generation Needs a Prologue cites this paper.

Autoregressive Visual Generation Needs a Prologue Hita: Holistic Tokenizer for Autoregressive Image Generation

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:46.142983Z

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.

Observation 46a1e380-e7af-4fea-93f9-fef960207ce2 · inbound

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice cites this paper.

Mutual Enhancement Between Global Tokens and Patch Tokens: From Theory to Practice Hita: Holistic Tokenizer for Autoregressive Image Generation

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:43:51.011171Z

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.

Observation ef6a5064-ee26-4008-9be6-c0ea92797d5d · inbound

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes cites this paper.

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes Hita: Holistic Tokenizer for Autoregressive Image Generation

Reference 158

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:28.222142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 097f8f68-5784-47bc-9f43-159a302d156f · inbound

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes cites this paper.

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes Hita: Holistic Tokenizer for Autoregressive Image Generation

Reference 158

Resolution: unresolved; no resolver link, observed 2026-08-08T17:08:56.991515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.