Paper Citation Record · LEDGER

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2505.13439.

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

pith.paper-citation-record.v1
2505.13439 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:16:36.724968Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:27:00.510598Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:13:30.560857Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy24
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db410918-91ed-498b-880d-92c47a057137 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.283097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8904b23b-cdc1-4eb4-896f-f34b4f875235 · outbound

This paper cites Clifton, Yuxiong He, Dacheng Tao, and Shuaiwen Leon Song.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Clifton, Yuxiong He, Dacheng Tao, and Shuaiwen Leon Song

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.261068Z

Source-reported events for the cited work

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Observation 26325fd5-f7da-4ff6-990e-c4bb15145517 · outbound

This paper cites an unresolved cited work.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:16:38.232363Z

Source-reported events for the cited work

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Observation fb59921e-e5ca-4b5d-8f23-a7fac145d4f2 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.342757Z

Source-reported events for the cited work

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Observation a5b652ff-d965-4adf-988f-0bda4ea9a5a2 · outbound

This paper cites ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.354700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4eb62af-8856-46b6-93e7-991a6bca1028 · outbound

This paper cites Diffusion models in vision: A survey.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Diffusion models in vision: A survey

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.214092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 538b30ab-20d2-416e-99bd-ef3bb6787e56 · outbound

This paper cites DeepSeek-V3 Technical Report.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation DeepSeek-V3 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.370349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d69441-ae04-4793-988e-ca469d293cab · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Taming transformers for high-resolution image synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.184099Z

Source-reported events for the cited work

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Observation f45c5ba9-0e6c-4fb9-8f9e-859ad9aad8af · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.384466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b0cb649-3dc8-4e6e-87d6-6df936d3e7e7 · outbound

This paper cites Unified Autoregressive Visual Generation and Understanding with Continuous Tokens.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Unified Autoregressive Visual Generation and Understanding with Continuous Tokens

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.394421Z

Source-reported events for the cited work

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Observation e7820c31-5e22-45cb-a92c-e411abf5de04 · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.401027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation affc3f69-1212-4306-b807-b4b73f4a4a68 · outbound

This paper cites Geneval: An object-focused frame- work for evaluating text-to-image alignment.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Geneval: An object-focused frame- work for evaluating text-to-image alignment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.163394Z

Source-reported events for the cited work

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Observation 702514c5-fc94-4f91-a9ab-61fe4b3adfe7 · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 14

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Source-reported events for the cited work

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Observation d9cbcffc-f756-45e3-ac1b-ea60dcd642a6 · outbound

This paper cites Denoising diffusion probabilistic models.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Denoising diffusion probabilistic models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.127803Z

Source-reported events for the cited work

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Observation e8d033b2-051f-4aca-9fb9-ed536b844fdd · outbound

This paper cites T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.091876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6337c26-64a4-4e4d-8f0a-52d9de4633a1 · outbound

This paper cites T2i- compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation T2i- compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.070585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b6ea2a2f-7d13-4495-917d-5352094c9e3a · outbound

This paper cites Mixtral of Experts.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Mixtral of Experts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.437691Z

Source-reported events for the cited work

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Observation 617f1c81-8d5e-422f-81ca-1804817f5d68 · outbound

This paper cites Gemma 3 Technical Report.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Gemma 3 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.443765Z

Source-reported events for the cited work

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Observation ce6db9e8-273a-42be-8483-3aa33e23bce9 · outbound

This paper cites an unresolved cited work.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 3dca018f-35e6-4697-80dd-f60765f49149 · outbound

This paper cites Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.458745Z

Source-reported events for the cited work

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Observation a1b5da0e-e809-4a95-810e-2af0c068cc6b · outbound

This paper cites Autoregressive image generation without vector quantization.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Autoregressive image generation without vector quantization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.038928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 135a407e-4e75-4019-902a-a41f79aba2e2 · outbound

This paper cites DMin: Scalable Training Data Influence Estimation for Diffusion Models.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation DMin: Scalable Training Data Influence Estimation for Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.473362Z

Source-reported events for the cited work

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Observation ea3a709d-62b7-4745-b640-8c06eef6a010 · outbound

This paper cites Token-wise influential training data retrieval for large language models.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Token-wise influential training data retrieval for large language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:38.019293Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1ab93dd-d49d-4ce0-89b6-a50182fb56cf · outbound

This paper cites UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.487502Z

Source-reported events for the cited work

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Observation 05103f85-38f4-4ae8-ac6c-8141a6e11884 · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision, language, audio, and action.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Unified-io 2: Scaling autoregressive multimodal models with vision, language, audio, and action

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.994942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d2824b9-b490-4ea5-9cd5-26d9bd75015a · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 27

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Source-reported events for the cited work

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Observation f83de64b-06dd-478d-bd12-388f9ba8b9ae · outbound

This paper cites Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models

Reference 28

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Observation d13a32ad-66c6-4e74-a2c8-081202648097 · outbound

This paper cites Blaschko, Guohao Dai, Huazhong Yang, and Yu Wang.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Blaschko, Guohao Dai, Huazhong Yang, and Yu Wang

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.971465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b30d8c8b-1591-4933-95b9-e2207f1105d7 · outbound

This paper cites Introducing 4o image generation, 2025.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Introducing 4o image generation, 2025

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.524284Z

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Observation 9967247f-93ea-4f43-9020-89cb3ac4482b · outbound

This paper cites ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.531312Z

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Observation 5ee96cbb-b416-476c-9567-5bb9f58cc224 · outbound

This paper cites Scalable diffusion models with transformers.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Scalable diffusion models with transformers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.929121Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8279ae23-be39-4867-b902-05795387f8f3 · outbound

This paper cites Reasoning with large language models, a survey.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Reasoning with large language models, a survey

Reference 33

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Observation a677e66f-0014-4f3e-aaaf-a910fedb4a03 · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.548934Z

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Observation f678be5b-2c8b-47f3-a3c0-6b5e9c09c1c8 · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation High- resolution image synthesis with latent diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.902423Z

Source-reported events for the cited work

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Observation dcccecc1-3ad7-4d4c-becb-eac94a414194 · outbound

This paper cites Bernstein, Alexander C.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Bernstein, Alexander C

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.878116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 075afcea-125e-4910-ac84-9813d4aa96c9 · outbound

This paper cites Flow to the mode: Mode- seeking diffusion autoencoders for state-of-the-art image tokenization.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Flow to the mode: Mode- seeking diffusion autoencoders for state-of-the-art image tokenization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.570432Z

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Observation dedf71b8-daa2-4b2b-b43b-7ae23469a3f9 · outbound

This paper cites Drivelm: Driving with graph visual question answering.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Drivelm: Driving with graph visual question answering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.857053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71b0f393-a913-400e-854b-6d81b7579d0c · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.588401Z

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Observation a23b861a-d57b-4505-9476-2a0a2abbb635 · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.594006Z

Source-reported events for the cited work

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Observation 75d46c6d-b531-4021-8991-219e7328869e · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.836930Z

Source-reported events for the cited work

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Observation dd99bfe0-6c01-4926-90c7-7c4efe76a536 · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation LLaMA: Open and Efficient Foundation Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.614723Z

Source-reported events for the cited work

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Observation 7d22ed68-bec4-4b7a-a314-a11af275c057 · outbound

This paper cites Neural discrete representation learning.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Neural discrete representation learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.807855Z

Source-reported events for the cited work

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Observation ce548559-a3d4-4656-aa8f-3527fdad1767 · outbound

This paper cites What Makes for Good Visual Tokenizers for Large Language Models?.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation What Makes for Good Visual Tokenizers for Large Language Models?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.633448Z

Source-reported events for the cited work

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Observation 29281ab3-185d-4244-a02c-96e4c07fcc0d · outbound

This paper cites MaskBit: Embedding-free Image Generation via Bit Tokens.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.642689Z

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Observation 9cf2c012-4a29-4f47-b383-f2762e1cc16e · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Liquid: Language Models are Scalable and Unified Multi-modal Generators

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.649273Z

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Observation 340e14b2-33d6-4a46-861e-ad764a3fbe8a · outbound

This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.655133Z

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Observation 30cfff84-9fc7-4114-af0a-bfae6c15be7e · outbound

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

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.662678Z

Source-reported events for the cited work

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Observation 76efe441-a51c-424d-bced-dc848b720fc6 · outbound

This paper cites GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.676564Z

Source-reported events for the cited work

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Observation 8c692157-d8d9-4124-9191-adb6d8deaf03 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Diffusion models: A comprehensive survey of methods and applications

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.780887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c372fb36-84b4-4a74-b57a-07ccf93ae185 · outbound

This paper cites Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, and Lu Jiang.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, and Lu Jiang

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.759971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be95616b-2bdc-4a0d-a803-151685542525 · outbound

This paper cites Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.740883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69feac44-94b4-4641-be7f-0ce8ed4c4eb2 · outbound

This paper cites An image is worth 32 tokens for reconstruction and generation.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation An image is worth 32 tokens for reconstruction and generation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.715747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16d4eb7e-1952-43e1-8c7b-b7807d352c6f · outbound

This paper cites A simple LLM framework for long-range video question-answering.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation A simple LLM framework for long-range video question-answering

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.684490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c3081dc-376c-4be7-b953-4568a12883b7 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Efros, Eli Shechtman, and Oliver Wang

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:16:37.656742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51f42578-6c45-4910-a670-8fdc1494ba87 · outbound

This paper cites Image and Video Tokenization with Binary Spherical Quantization.

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation Image and Video Tokenization with Binary Spherical Quantization

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:36.724968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f64afaca-72dc-4b45-a466-fe99c0a4e46a · inbound

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation cites this paper.

InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:13:30.562810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21b780be-50b9-42c5-a4de-f83e7427bed3 · inbound

Tokenizer Generator Coupling in Medical Image Generation cites this paper.

Tokenizer Generator Coupling in Medical Image Generation VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:00.510598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.