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Paper Citation Record · LEDGER

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2505.18775.

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

pith.paper-citation-record.v1
2505.18775 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:35.910075Z

measured 58 of 58 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:20:23.251121Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved53
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 2512fa8f-a2f6-4ea6-9f2b-6a2892fe035a · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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source=pdf_text observed=2026-08-07T14:28:29.295573Z digest=sha256:bc64921ee5fcb0dfc8d165ff4b55b1c5d88b66db582ac41c8e11fd57fd197def

Observation f6e0813d-039e-4e7f-80fd-c2c6b2173c73 · outbound

This paper cites Imagen 3.arXiv preprint arXiv:2408.07009, 2024.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Imagen 3.arXiv preprint arXiv:2408.07009, 2024

Reference 2

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source=pdf_text observed=2026-08-07T14:28:29.379140Z digest=sha256:2f825c5f898765fe88cd53783b404b424cf66508530ba6bd840872ae37b1093d

Observation 179116bc-2e1c-49ee-8131-792ea8f7e260 · outbound

This paper cites Improving image generation with better captions.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Improving image generation with better captions

Reference 3

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source=pdf_text observed=2026-08-07T14:28:29.499025Z digest=sha256:a87420abded34df36b1932ffb4d11f9b6f4a4dee9ea9aa181c86a9294093edb5

Observation 88bd8380-9655-4ca7-97f3-5f7781a19c9e · outbound

This paper cites Flux1.1 [pro]: Advanced text-to-image generation.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Flux1.1 [pro]: Advanced text-to-image generation

Reference 4

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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=2026-08-07T14:28:29.643316Z digest=sha256:eaab0e11cab93f8cfc85dad1f47ed875da81f90c57c2beb2d43203e678e7a619

Observation eb001b3c-1e32-447c-aac6-58d4f013fa70 · outbound

This paper cites MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks

Reference 5

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source=pdf_text observed=2026-08-07T14:28:29.775775Z digest=sha256:6dde61366941c10fc4c5ca48f0bfdbb992b46c22d5ea66dbc85fd57835c3ce52

Observation 712b1f7f-f1af-46df-a7a3-38490e1ffeb1 · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Sharegpt4v: Improving large multi-modal models with better captions

Reference 6

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source=pdf_text observed=2026-08-07T14:28:29.862479Z digest=sha256:995782e0f930233e22e18841ca9127c6565439cf56d753ea173a83ec594cdff9

Observation bebc4b12-ae47-43ae-9f1b-29ab110dd5eb · outbound

This paper cites Generative pretraining from pixels.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Generative pretraining from pixels

Reference 7

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source=pdf_text observed=2026-08-07T14:28:29.966648Z digest=sha256:1571f6a513a7c8e78bfaaf89611af06c77bd386cfbf92e1dc8892dabfacfa981

Observation 63187bfa-1fb6-4de9-b6ee-a004f532a42e · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 8

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source=pdf_text observed=2026-08-07T14:28:30.097899Z digest=sha256:b2a0be4a052d40a7e3c86b3bf581dbacc77a920bb4ede7eba691cb627033a2a4

Observation 9abc236d-b12e-4359-a185-fc11a3faec6b · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Masked-attention mask transformer for universal image segmentation

Reference 9

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source=pdf_text observed=2026-08-07T14:28:30.247323Z digest=sha256:568110b3dbcc30ec42e243a83eb4e7e369af35d694a413fa41126a55fcee56b1

Observation 6c01f326-1404-4e65-922d-d127e347067b · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 10

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source=pdf_text observed=2026-08-07T14:28:30.340524Z digest=sha256:e937e43847f8f807d5f08a4a7656759a612cfe76c01cc74c45106bfbce0c59f2

Observation d9d632a7-038c-4a2c-a2be-6af5687e0ddf · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 11

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source=pdf_text observed=2026-08-07T14:28:30.474655Z digest=sha256:23d5deecef072d3d464d995214f59221f67183d238f6bba7aa15f2831c5eb323

Observation e3f06447-395a-44e2-a55a-601fe674da0a · outbound

This paper cites Seedream 3.0 Technical Report.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Seedream 3.0 Technical Report

Reference 12

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source=pdf_text observed=2026-08-07T14:28:30.598466Z digest=sha256:a3770dc72e682b5d4218e9be28f6787f09ca9fe9a91f9e4bb13211e585491676

Observation 24305e3b-7bc9-4c0f-9cf8-15318303a931 · outbound

This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132–52152, 2023

Reference 13

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source=pdf_text observed=2026-08-07T14:28:30.714121Z digest=sha256:0ff136a20c7b9c9cf8c1f56ac58dcdfa88e0e202011da81f40fdac0b2caa5e58

Observation 1e6a4cd8-c0b9-4963-aa02-5f61e9f6963b · outbound

This paper cites Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Reference 14

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source=pdf_text observed=2026-08-07T14:28:30.836749Z digest=sha256:6444dd665bf3226ce2104afe3c51e42e5686fae8669400bc9cacbbd77820a77a

Observation 05ffd836-af89-4d16-8e44-e5d21617f6f4 · outbound

This paper cites A Survey on LLM-as-a-Judge.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks A Survey on LLM-as-a-Judge

Reference 15

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source=pdf_text observed=2026-08-07T14:28:30.975516Z digest=sha256:86793bb1270c5a7295c87faece56ad8e48b816e34f2e891bdd5cbd5aa51a4d4e

Observation fc6ded08-f408-4eef-8c1f-0c5c1d5208bd · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 16

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source=pdf_text observed=2026-08-07T14:28:31.134652Z digest=sha256:2d8782b817732ff0e30657750b8b69b4c5317d738869dcb0e13e473ae16e9888

Observation 70ed4d08-6ea5-4948-9ce0-6d53d9451b3e · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 17

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source=pdf_text observed=2026-08-07T14:28:31.273550Z digest=sha256:b40cc2c86ac3d5da4d47ced5fc740e68abb85dae6a378ee6d26ec9c8c76638cf

Observation 6d3fe910-e3b0-401a-bd17-e17bd1c3a99a · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 18

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source=pdf_text observed=2026-08-07T14:28:31.438907Z digest=sha256:416120b9e85bed8562f18a91782bb2433a6a8af544c3e6eb422532fe42159602

Observation a2854d20-f825-4e38-bc92-45ea16fa310f · outbound

This paper cites T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks T2i-compbench: A compre- hensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023

Reference 19

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source=pdf_text observed=2026-08-07T14:28:31.562874Z digest=sha256:a6a79355cc9973f1000e68e79bd3ce89a80aadabbc5a13ec33d675ce0846d769

Observation daf5c128-881e-4efd-9b69-77e9116fa03a · outbound

This paper cites T2i- compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks T2i- compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 20

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source=pdf_text observed=2026-08-07T14:28:31.688400Z digest=sha256:38cb98c9e3ef845a81932bfb00b955b55401d748671f4b60ffe11d31d0e51ec2

Observation b6a52180-e130-484d-94d7-9b39f21ac75a · outbound

This paper cites Smartedit: Exploring complex instruction- based image editing with multimodal large language models.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Smartedit: Exploring complex instruction- based image editing with multimodal large language models

Reference 21

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source=pdf_text observed=2026-08-07T14:28:31.826848Z digest=sha256:440616cb5f7b2500fbf00d0f1798f19aef4e37674b083ae23ff8f376488106af

Observation 94ac27b8-8da2-4c73-a953-55a3758adeb6 · outbound

This paper cites GPT-4o System Card.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks GPT-4o System Card

Reference 22

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source=pdf_text observed=2026-08-07T14:28:31.979482Z digest=sha256:5cde5391dd688e9311a6b2410654320d5b7906c02de9dfaca2f825249a3a0aea

Observation 80f0a40a-cea9-4987-898d-36caa0d6a161 · outbound

This paper cites Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models

Reference 23

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source=pdf_text observed=2026-08-07T14:28:32.109779Z digest=sha256:58390ce80ac11adb51a858dcbbd67ce081e6cd73b5172ea94f45f24187a99907

Observation 1ed1e2e4-6fd9-447c-89d2-e5d3ad74bb88 · outbound

This paper cites UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding

Reference 24

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source=pdf_text observed=2026-08-07T14:28:32.219643Z digest=sha256:a0ffd27b359466b4f59ee9bf924dd7286f6da6057badb365f09f184cffefea86

Observation ed0f780d-9212-47a9-96ab-f8b587539ce6 · outbound

This paper cites Dual Diffusion for Unified Image Generation and Understanding.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Dual Diffusion for Unified Image Generation and Understanding

Reference 25

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source=pdf_text observed=2026-08-07T14:28:32.362554Z digest=sha256:c4526a0feb2f9c634be7f87820ffb019af26dd92314780935975a380b3953098

Observation bce7c79f-86a0-48a6-8648-9ad7572829c4 · outbound

This paper cites Microsoft coco: Common objects in context.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Microsoft coco: Common objects in context

Reference 26

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source=pdf_text observed=2026-08-07T14:28:32.471522Z digest=sha256:545fa2eea271e5440789e4afce3291e74c17b1947ea962a79fa9ed95318f4283

Observation 93558a59-6c40-4f89-af10-36509eedaf50 · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Step1X-Edit: A Practical Framework for General Image Editing

Reference 27

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source=pdf_text observed=2026-08-07T14:28:32.610635Z digest=sha256:4b293dac32dbd1cee3cc14b4bddd8f4b95ebfe0ce305655631d34e5e114cfdca

Observation 667db9b1-f805-456d-aa65-246b61de0ce7 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 28

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source=pdf_text observed=2026-08-07T14:28:32.759400Z digest=sha256:3bbf2e04a7cb58858becd5e22512144051ab4c9e05aa78dd202ff7999431427d

Observation 06f51c28-4492-43fe-9042-a032154cb4fd · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 29

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source=pdf_text observed=2026-08-07T14:28:32.849110Z digest=sha256:0746155ad24aed4c671e85a55ce4f90c65153d413baee4fe592f8774febbf1e9

Observation baf26363-2df5-4671-90d6-3c95ed69a624 · outbound

This paper cites DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation

Reference 30

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source=pdf_text observed=2026-08-07T14:28:32.994290Z digest=sha256:c6bbb2cb5b8d1bbcf1ae45d71f6a6d77e98f959ec964dc4b19d17c7131f15a10

Observation 8aa4a257-6577-433d-8c6f-dd02bf34176c · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 31

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source=pdf_text observed=2026-08-07T14:28:33.100754Z digest=sha256:8d577d7822b0c1e7434eca199223e8d7b90568ee3dce9a00dc860159beacf965

Observation b4ae9d06-9360-4d33-9bac-db1ffda71c76 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 32

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source=pdf_text observed=2026-08-07T14:28:33.219203Z digest=sha256:80d499cccbf457836ea9ea8acff0c94f84b56e65c7001e3704ab499f2dc48357

Observation 397e652e-4ba8-4f4a-af64-7e0d7ecd08e5 · outbound

This paper cites Vision transformers for dense prediction.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Vision transformers for dense prediction

Reference 33

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source=pdf_text observed=2026-08-07T14:28:33.330159Z digest=sha256:1fac24667e7aa2e7f03fa9a34d013adfa1d2363c00bfb205eb07c5ef9161e995

Observation 401de1fb-3ba7-4581-8f08-5d5685eac118 · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks High- resolution image synthesis with latent diffusion models

Reference 34

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source=pdf_text observed=2026-08-07T14:28:33.455366Z digest=sha256:8e9959a7679ccca2cde7e41ab7bdd0dcbfc5947a34dbd7ac998b18681fac8fcb

Observation d492a396-8d58-4e14-b5af-9dae847c1e83 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 35

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source=pdf_text observed=2026-08-07T14:28:33.607650Z digest=sha256:0ea89efe5fd65c6bf25bda4b0e9527d43b501f8b3c9e07c8958965ba23baf041

Observation 11ba40ed-a0f1-4214-9cc5-1ad67dd44a15 · outbound

This paper cites Denoising Diffusion Implicit Models.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Denoising Diffusion Implicit Models

Reference 36

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no resolver link, observed 2026-08-07T14:28:33.734038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:33.734038Z digest=sha256:98d6c793c6959a31bd98a0ce9b277ad78e97588e2d47dec9860099ad81c53f37

Observation f1d56689-5926-4aaa-8edb-b141979cd266 · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 37

Resolution
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no resolver link, observed 2026-08-07T14:28:33.846760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:33.846760Z digest=sha256:9cf579a332fa20d025ec963a215767da13ee517550ba9d25fdcc11c37bd360e7

Observation f21b04f6-5b96-4314-8a25-8a21085d8016 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Gemini: A Family of Highly Capable Multimodal Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:33.967796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:33.967796Z digest=sha256:91b5c6ef99b294d988521ef5f8d73bb18e601bd3e50f214a5690a8abdb9d0d61

Observation 2dd0c276-3f5e-4b66-b540-53865d3e78f8 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 39

Resolution
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no resolver link, observed 2026-08-07T14:28:34.088359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:34.088359Z digest=sha256:3a0fc38a947edd362b7759b73e1c5e32e400eaf8848acdd69df0f497ed4713f3

Observation 456f8880-6752-4e00-b4f6-19c803b0f578 · outbound

This paper cites Evolving storytelling: benchmarks and methods for new character customization with diffusion models.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Evolving storytelling: benchmarks and methods for new character customization with diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:39.510080Z

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=2026-08-07T14:28:34.237115Z digest=sha256:2f4408ae1c95c66d88272298dd6bade273850162785cca380662e02c1015309d

Observation 6e6be51f-7718-48d4-a1bd-af3ae90e0e0d · outbound

This paper cites ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

Reference 41

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no resolver link, observed 2026-08-07T14:28:34.389019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:34.389019Z digest=sha256:94593d891b1aa5e4cc03f35b97f8662f58513b387d5ee7af80ce57ca3c982df3

Observation a3cc4fbb-c669-4e01-9bb8-015dd4de32ac · outbound

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

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:34.510211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:34.510211Z digest=sha256:c5171077556fb9089d1a59d5366f1e60a81d73994a6e9b19623f3b5f8ebd0869

Observation ac53e407-5d32-476e-be06-8d9d59866187 · outbound

This paper cites Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:34.643778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:34.643778Z digest=sha256:bd51bfc86055d9b8e19cd1ef724c4a7cbab8e93c7bda4eb4385165fd991c8161

Observation 654d0a23-4d51-4dd1-af7c-b6e468722408 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:34.753090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:28:34.753090Z digest=sha256:02deba2e316f3a7f11a3453e2db9274c909f3229e364dc76e8cbab3cf810f0ef

Observation c6373c3c-90d4-4ec1-974d-989a8e8216cc · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:39.227501Z

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=2026-08-07T14:28:34.852853Z digest=sha256:4b2a0ba120ab0328fb01a0a7518bde5482bddefb68940b262318fe718443a0cb

Observation 6866b88d-7c9b-4b7a-8f11-26dc576d2760 · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:38.939411Z

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=2026-08-07T14:28:34.990939Z digest=sha256:bbff5787a439717f56b485fdf8c4e5c25d64268ab5201f7de7aabde7ea59f89b

Observation 995dda9f-06a7-4ec4-86bb-3003227a9ab5 · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:38.651186Z

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=2026-08-07T14:28:35.120612Z digest=sha256:3f819c90d9fa1b8e2f12b199231fe0266a8165a3d49d5a9df7608d3279d253a7

Observation 7eb7d2d1-4e50-4cee-b487-844a53544732 · outbound

This paper cites Identify and highlight the inflection points of the function shown in the image.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Identify and highlight the inflection points of the function shown in the image

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:38.384268Z

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=2026-08-07T14:28:35.228438Z digest=sha256:d23e0d15c73ea77052258e8feaa3243ce28ab5d7a10df4e9530d0ca4669571ca

Observation 19f2abe5-92fd-482d-8826-5cea8d6283fc · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:38.181329Z

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=2026-08-07T14:28:35.282745Z digest=sha256:5481551a9275ab5ac91bea60585fe203e096897c07c2d3051c38ec11b88698d0

Observation b2f7de11-125a-4e38-befb-34fe66d5be4f · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:37.924467Z

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=2026-08-07T14:28:35.328745Z digest=sha256:6bd68c98ccfe9a9b5f02540a26285c608256606f1ddccbc7fd78c0f2d520b47a

Observation 5c05967e-cc88-4f73-9e13-05459d9e11f2 · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:37.684805Z

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=2026-08-07T14:28:35.407601Z digest=sha256:50a13e6140b208421aacd51d358511f28ba253d858def192d6fe0bdb74e16854

Observation 5796b532-7688-4fc3-9891-78018bf62abf · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:37.476868Z

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=2026-08-07T14:28:35.539559Z digest=sha256:24abe1beff1a7cca6b24d2d5bbd5b6a274376f2c879adbf90e22b64ca6e22608

Observation 863525e2-b1ab-4df1-86d5-2213272e20db · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:37.265280Z

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=2026-08-07T14:28:35.597984Z digest=sha256:42a826bcbffc7fe230237390c8129a4f8ed274575a2470ad7d61706b7a542f9e

Observation 256de426-fe25-4cd9-90ff-4ba675c46303 · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:37.071301Z

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=2026-08-07T14:28:35.670058Z digest=sha256:9d41ce63fe9fd0f3a6a96738f82e124b192e0db85f4ff811fb712e7982a41c46

Observation 78e3e01b-0a59-4d3a-ad4d-e1326fb76637 · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:36.886405Z

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=2026-08-07T14:28:35.741444Z digest=sha256:d38d150d4680c2b1bedf2849540d85074ac936a73ae333b216e33c120f977bce

Observation 3376522a-1709-41b7-80e5-6fd3d9ec49d3 · outbound

This paper cites an unresolved cited work.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:36.744968Z

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=2026-08-07T14:28:35.805925Z digest=sha256:20d4839c81d05788ef30a1437f6e9d8b7c03ce2ee5bd75bda8d7b222f466f589

Observation 2b8b1568-7216-45b2-9073-2cffad60ef0b · outbound

This paper cites To Do Today.

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks To Do Today

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:36.588956Z

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=2026-08-07T14:28:35.910075Z digest=sha256:9678f756fdb7372b179631cc7d1ecd960e91b968e5157178e0247c658feb93dc

Pith citing papers

Observation 48b59986-b7a8-4efd-af13-d8dadcaa1d7f · inbound

DynEval: Holistic Evaluations of T2I Generative Models in the Wild cites this paper.

DynEval: Holistic Evaluations of T2I Generative Models in the Wild OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks

Reference 72

Resolution
unresolved
no resolver link, observed 2026-07-14T06:20:23.251121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:20:23.251121Z digest=sha256:0b96de59e5f889a2a6313ecb649561feb22dd6bcd931920f84d9ce802af63c88