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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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=sha256:5c760609d1cbdcf6c37be686fd4b2773436ae667ea57873435c35fc46cfae8f5

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=sha256:6e8a2336a1550b9fb4c23c1f32fa788125b7d4a76d7c12b69fd83c4d21951727

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:d886b586f0890eba137b3a07cdfaf4468d66c6896b99449f58af73dc23c86ae6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:29.643316Z digest=sha256:6abc4c7aa47a6d848dd951a68f29b6cec82603e3471a5e0447ca8a8a509370e5

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=sha256:03dea4d063475dea0658a74e19f7dbad2fd0dcb81a565c2c3b162c4b5790a33b

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=sha256:050d9330c2dcb50189ea6a682fc7e5b056528c4a43e765512eaa0aa794595f69

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:e10f36751a5f4198ed85aa620f3854a9789a791a0d30a51436963ff5abe81713

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=sha256:33eeb027e645810b548336a64010d230159c68dd748301ad63c65f2f0bcd1ca1

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=sha256:24cc5e0a559a33a85708ccd17883c4d4835c78c1b56b743867c49f410e901aa2

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:f6a80deb446ed71fee9385ee9ad77f3814e4426975ad1adf4699da52bd5e734b

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=sha256:1158b42d981f3c6b911c9c796bbcdc6477941db1effbc253ee8010b35266e74e

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=sha256:1362ce2911a1f0b450a22f9e404f21a2ab08a4c2dee393bd8fb43f2dbc7544a6

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=sha256:29b1e91fbc2e912682b374abe55edcf10f26905f6b818faab178c65028cc7142

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=sha256:3e3ce8031c1c2ab90616db2b07cb9ab226dcf5a15c970062c8213b0a12224f56

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:e2aac739c00f44164d76eb6ddcd1a9ea2150c2e2aa97777465e6ca07bb8e3e6c

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:c10f3b491b40be977aab7174e2b5a6fef3d2845c034feae47dff99336faad96a

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=sha256:28020bf6328e87667486c09844db08abb9e8ba9e94f2c53ea9c18e65d013357a

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=sha256:9e8d699a4ba0c92e0c0c393b2095af1ae6caea1b9dff7a6ddafc72fef1a127b4

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:bf1d604f85ae6d2a8782fe5579779858fbdb84dc7da1cf2298f0622af8b0e181

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=sha256:3eaa3dcc6befec892625b8a2bb497164bbe2d4010c9ac2d82ca55bf638941601

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=sha256:10dda01a0472a41f60506b7822ad866b228e092bb1493ad4a79f91313f8630bb

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=sha256:69a2e2e4a15ca2e872eabe49e171ee74e9791093d5070ca882e2a6f5235fd4f0

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:e2a5ff089bd757e5cc2882f38a60d9512bf60c4b97257bdf8b2b96c8a5d1be3e

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=sha256:61acd2d320e3117d701a7395aa8850c464e2d91e5f6dab953791ad9f1347da39

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:a655d4e5c65c2b78a363a9df833d1b1c075d41824dc91784526ff0e30daef552

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=sha256:3aeca749969cd478e1e748d1c9a3479abc43b34bded61a91b8d4748d876672e1

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=sha256:4809d4f37e91991f2067d8c6cc3e9068a2c4b53eb043090afbe2fa908fa8c543

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:cccd964a82b072f8c25ca9cf829c0daba6312ad7e0c1197874ca4bd3b2a51ee7

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=sha256:919378c1bc5383426ca414ec730f5cc820b61365cc9dca420bc27827b10cae10

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=sha256:7972055fb2e5a0d1d2268c77ff259fbda96002fd351d833efcf04ab1839f04d7

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=sha256:1427654a5fff9b7b3562a96513d31ad4b7064d88bcdeb1f44ef547916c00cd27

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=sha256:51a37a72daccb1b3a1b213a34e27ab37a6a32ce81b0fbc985c9b29c68dc3bc17

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:ceb5f140b4b6c63781852e6bc1f2a529f32490843d95739035c86e0e05e17e08

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=sha256:45f93409d5104abd846757c9f2069eedff1b243b457c5780fed707210cf1b0a4

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=sha256:16141b0441d309f07e3ef1bd31a2115cdae48e8cd79d45bc0f531ef2f2076fed

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=sha256:3ee230b4b0df574fa092b54153e1a819ee1d22056e2298ba8ee5c0fe92d378bc

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

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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:bc992637719a4c92e47be3447ed4caef4026c0b80cca497ac0d4afe60fab6e5c

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

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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=sha256:5466413b1e6dd3ff5d45ef3c471ec5f206a0a4cc29e9e1fd9b7a371b2bd4035a

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:28:34.088359Z digest=sha256:b37055907f90be1fca6fb0bf3923455a24baa00b7b6248d12ffd5146f16a2e4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:34.237115Z digest=sha256:985a71e46f3ce9ba011ee88d05f999fa0f8fd2cc96777c1da4e2ba58eb884e67

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:e63520f9f747f48137a28cc4e470086fab64b4e969a21b58b7a87dd6e7ed3e1c

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
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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=sha256:74a2274645b3b543f32b02af3298aee4f265a0349023a93c4ee91d279343b23f

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:d43d4aa8bb0615ca08de98dd55d30109f27f0b2e8b97b34c7a57ad6d7e4958df

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
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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=sha256:806d96ec5e126826633d6373f0ac1a50a68fc9036b74ef181b07800a36789af8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:34.852853Z digest=sha256:fe389e8372c9b063de3f91d60d28b99c1f097a2c53ba3ee999f3d25e59d883e1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:34.990939Z digest=sha256:cecc1ac2d423ce34d802eded408e2810190b43c19a82e283ec6aa953445049d8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.120612Z digest=sha256:019f63db4feb1672e3c96ba7229d2c1c59c534f111cd3e93f4eb5b7e3591f9d1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.228438Z digest=sha256:e9d166d76713dbe3be840a4a3e70459240176391e701a657c107aaa19df75283

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.282745Z digest=sha256:c2ba4905b51c91bed71294a1926abc321f73668b8c56f4856d8f7b40baa7ad9e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.328745Z digest=sha256:78cfffd2ba58efb2493dc4f3ae65ff216ad359e1210e08e7cdef1b5580aa8397

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.407601Z digest=sha256:ee381ecee91ad2ebfcaf178ceebe139da3f685a78056981fee267e6dd8904f68

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.539559Z digest=sha256:30c88622a1ff6142bb4c81bdc630be45b616e0c65f91eb19555e134f4df08869

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.597984Z digest=sha256:5cea0bddfe31d80bf0ff22b480860ece6715620a69a1f02b4a15910db2a7b212

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.670058Z digest=sha256:e0205aa248aea8271ae691204f5422c38619bfd512b99ea7e227ddac05a470b7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.741444Z digest=sha256:34eb7b439d7ee409c15f85bdb680c4a684faa999a025784f48eecf30a596ddba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.805925Z digest=sha256:39f6e303a751cd3d2a408dd49a0c0578a847cf2ec7d5c1f754fe5042d6be81b5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:28:35.910075Z digest=sha256:faed3c9f8d837dde78f661598f6c5e1c73cca9a8d10e3fe69dff4ed2bb3e5897

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:db991c251fa86d265a3ac9b0fd871edc4131c7da6bc17d087cd426bf503ab28e