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Paper Citation Record · LEDGER

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 19 inbound Pith citation observations for arXiv:2506.07977.

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

pith.paper-citation-record.v1
2506.07977 v3

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:25:44.520732Z

measured 98 of 98 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:10:08.475625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.249678Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0224aeab-852f-406a-89d3-108203ddf297 · outbound

This paper cites Vqa: Visual question answering.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Vqa: Visual question answering

Reference 1

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source=pdf_text observed=2026-08-07T05:25:43.986102Z digest=sha256:89b54a1273c6e03f0274046fccc401462f7b334ae181d7c5df092c1fe8338787

Observation 7e1ba31c-aae5-4556-b7b4-c9aabfa73a0d · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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source=pdf_text observed=2026-08-07T05:25:43.991862Z digest=sha256:072cf6067ef2f2e5c14e24deb8d5791659ff21e659f43bcfac72b3490273dc93

Observation a46aea39-57c0-4e85-bce0-3fd07e1b15ce · outbound

This paper cites Qwen2.5-VL Technical Report.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Qwen2.5-VL Technical Report

Reference 4

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source=pdf_text observed=2026-08-07T05:25:44.003618Z digest=sha256:b29ecb8f48b982606f13d856503e3f6e2ced9fc28d1dd9a10a565751915f51d8

Observation 63ed52be-1d1e-4d98-9d6a-e6bdc28dfd8f · outbound

This paper cites Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models

Reference 5

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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=2026-08-07T05:25:44.009084Z digest=sha256:e2a10c941e202b0ab628b572320e5f2f916fa11bd4afbc60b1ab1e344d7696b4

Observation bd62b77d-ddf4-4c43-a4ee-adfa7808a266 · outbound

This paper cites The official api of flux-1.dev.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation The official api of flux-1.dev

Reference 6

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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=2026-08-07T05:25:44.014278Z digest=sha256:6fde93af0b392dbd861989b86d884a60d9a7282783ee6ba5ead165ed32aabf65

Observation 67ba8ebf-cff5-4887-bf2d-d277df26f5af · outbound

This paper cites Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models

Reference 7

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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=2026-08-07T05:25:44.019581Z digest=sha256:8257890c9f4dc0da54795d3c3066397d6d41e271b289aaaaecfecaf19a164bd9

Observation 75a3d805-a6d0-4caa-9a43-22a23b0c37a1 · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 8

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source=pdf_text observed=2026-08-07T05:25:44.024265Z digest=sha256:1eb91aa4ea1b88ea3e6c3e730382ca5f875fe9e5367231cb9da0f242572c036b

Observation 3debd87b-aef4-4233-b21b-43f9fdf8d9bf · outbound

This paper cites Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Pixart-sigma: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 9

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:25:44.029143Z digest=sha256:efe5189747836d95011a8e9a26699cf503163caa9254a4ccd784f369c5d2d093

Observation b09b4e0d-f642-4469-8b74-b38645309a4c · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 10

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source=pdf_text observed=2026-08-07T05:25:44.033958Z digest=sha256:817155eb3067577087514f3d9a79cd75033a15c02a21e0771d9ccf1547906830

Observation 28c36f47-fe3c-40e4-ad65-3c1f65b77c9a · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 11

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source=pdf_text observed=2026-08-07T05:25:44.040123Z digest=sha256:46f9c054c0a85089289862ae073263133f9ef4deecf58716719303842222e5ff

Observation a21fb488-8122-4e43-a190-1cae4cb794f3 · outbound

This paper cites Generative pretraining from pixels.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Generative pretraining from pixels

Reference 12

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source=pdf_text observed=2026-08-07T05:25:44.045275Z digest=sha256:4c4145826e86221d38fa86993148ca5ba0266247124c16cdcd7b203091140e70

Observation dc1bd828-3e8e-4271-a2fa-ab5d84a8dd93 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 13

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source=pdf_text observed=2026-08-07T05:25:44.050469Z digest=sha256:a89ac437f71daa05ca7a0414b24aab2986fc35a3f613481ea1a7bbd58b9bd2bc

Observation deced6d7-3dd1-4d2c-b650-b344aa5d0619 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 14

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source=pdf_text observed=2026-08-07T05:25:44.055680Z digest=sha256:e6dd286b58cb32b54264392115d6aac5c2382ee8a69d34ed3ff3f77acee1fbf6

Observation 10f86999-c4bc-44b4-bc1c-5005dc1bc195 · outbound

This paper cites Mask2Former for Video Instance Segmentation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Mask2Former for Video Instance Segmentation

Reference 15

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source=pdf_text observed=2026-08-07T05:25:44.060493Z digest=sha256:6453b07f12c47645c0121cfa8a4f288d60433f09dbef51e588534b15d5afeefb

Observation 45f95dfa-7c79-490a-8eb0-3d73ba18dab3 · outbound

This paper cites Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation

Reference 16

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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=2026-08-07T05:25:44.065918Z digest=sha256:6d8f39940facedad61075e39784371ca589d7447edbb607a4f2b76c90e520419

Observation ff38fb48-5b64-448b-99fa-9dc7ca5a8b31 · outbound

This paper cites an unresolved cited work.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Unresolved cited work

Reference 17

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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=2026-08-07T05:25:44.070702Z digest=sha256:5f4a15eabe8e417324ad15dfcc3e39558f3ebd878a9d66af6e993d5d1ad9b44e

Observation 1c16c095-5132-41f6-9044-b4f46a23346a · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Emerging Properties in Unified Multimodal Pretraining

Reference 18

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source=pdf_text observed=2026-08-07T05:25:44.076301Z digest=sha256:08dbab1bc8c704b2c92a29d486ae68bf6bd4b163c095b12cea0e16c241d68b80

Observation 3a8a880e-3c23-47b6-8cc8-8dae56163a41 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 19

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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=2026-08-07T05:25:44.081486Z digest=sha256:31e17e3e1a11cc5549e4c096dd90f30eec628cf9bd2f6e22b634afc4e7ced2c5

Observation ec9d9ce4-a2f7-453e-9788-e540916e9461 · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 20

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source=pdf_text observed=2026-08-07T05:25:44.086087Z digest=sha256:adc9094fc7fa5f7afa06ce5a745600f24a5a5a3ec098ae386e5dce94bc8d9e25

Observation 0ceee4f6-5acf-4756-b317-1156f2595266 · outbound

This paper cites Dreamsim: Learning new dimensions of human visual similarity using synthetic data, 2023.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Dreamsim: Learning new dimensions of human visual similarity using synthetic data, 2023

Reference 21

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source=pdf_text observed=2026-08-07T05:25:44.090847Z digest=sha256:a1344ca8041bf50f434ffecaaae3783845326f1dccd8ea5556785f26f4c8b38d

Observation 16ad961e-f0ce-402b-b9f1-d84bc5b2ff81 · outbound

This paper cites Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?

Reference 22

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source=pdf_text observed=2026-08-07T05:25:44.095229Z digest=sha256:26078d6270f6420aa8bb65edcc36cf5b48cc1661ff357e3f0c40c7a72e52b51c

Observation 1c5ff251-2783-4b48-93f1-ccda884f8dfa · outbound

This paper cites Distilling diversity and control in diffusion models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Distilling diversity and control in diffusion models

Reference 23

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source=pdf_text observed=2026-08-07T05:25:44.100097Z digest=sha256:fa88cbf900adfd96df6edca3cd41ea5ad73a119d6e6efa0974e0ebb5a6b1da2f

Observation 6520c209-2447-4565-9cc8-3748ff9e87cb · outbound

This paper cites Seedream 3.0 Technical Report.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Seedream 3.0 Technical Report

Reference 24

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source=pdf_text observed=2026-08-07T05:25:44.105493Z digest=sha256:2f0e41dd3c97283de5495eaaffa127ff497711d88e31595d1190910847b200f7

Observation a6949646-a872-48bc-bbf7-356dfb6921e2 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Geneval: An object-focused framework for evaluating text-to-image alignment

Reference 25

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source=pdf_text observed=2026-08-07T05:25:44.110467Z digest=sha256:0086adc3546a66ccad9877518e9afbe1f194234141e4736b1693f31535df1fb2

Observation 44db4c0d-9c4d-4f6d-a8d8-b228283e5424 · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020

Reference 26

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source=pdf_text observed=2026-08-07T05:25:44.116471Z digest=sha256:332fee0c61c4358575f5eacd5e48c0effdcaf3c447842116b3e7b972790d84bd

Observation 03c0aa6c-bbed-40ca-b3ef-e4919b535d6f · outbound

This paper cites Evalmuse-40k: A reliable and fine-grained benchmark with comprehensive human annotations for text-to-image generation model evaluation, 2024.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Evalmuse-40k: A reliable and fine-grained benchmark with comprehensive human annotations for text-to-image generation model evaluation, 2024

Reference 27

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:25:44.123351Z digest=sha256:6954628711fb7335e5276e96264edd464f42f94e67c669a57a705d978b8d80b6

Observation 2ba7f8f4-54af-43f7-91aa-f3bca75f2a50 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 28

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source=pdf_text observed=2026-08-07T05:25:44.128309Z digest=sha256:30f6a535dddfde1a59108780de309b42c477aae1cd931821cb2270b3ab92288f

Observation b315326f-0cf2-4edc-b4eb-601c0cc26228 · outbound

This paper cites Hidream-i1.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Hidream-i1

Reference 29

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:25:44.132974Z digest=sha256:819a574ec10b75dd611137671dc2f8d8b154ab0d11054787646f0f5ed7a819aa

Observation 6ed22e4c-05e0-4a7c-bc7b-0d01489df1d4 · outbound

This paper cites Denoising diffusion probabilistic models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Denoising diffusion probabilistic models

Reference 30

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source=pdf_text observed=2026-08-07T05:25:44.137448Z digest=sha256:13f1998c4dfb66acf01dc5657c527c3db8a2a8a5cd7a644d41720a24d8439d50

Observation 4f3f05dd-3ad5-4fee-89e4-bd8d256c09ae · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 31

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source=pdf_text observed=2026-08-07T05:25:44.141991Z digest=sha256:2fd4e5d6c1d0563f152c0163d2acd8be766f00b616f3aa91e5ce4f68b8a1bb00

Observation b67fc08d-238f-4761-b46a-ccc65e0ad39f · outbound

This paper cites Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering

Reference 32

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raw_fallback, observed 2026-08-07T05:25:45.556705Z

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=2026-08-07T05:25:44.146947Z digest=sha256:e0bd0f86087397e631bdcc63000a0193b4961cbcca8e789a9473b522a53df3ac

Observation f5732f7a-a022-4639-9bc7-71935afc4ef1 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation

Reference 33

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raw_fallback, observed 2026-08-07T05:25:45.540308Z

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=2026-08-07T05:25:44.151303Z digest=sha256:db1b0db71f5feb650a5cfddf3d81b138a45ea6bede227ed841a6244e66cdf66e

Observation 03576435-53b7-4798-811a-2fcc531e2899 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 34

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source=pdf_text observed=2026-08-07T05:25:44.156341Z digest=sha256:0c5580a96798df6053bd24d1d08baebf308153c535f3ada2c641f8ff5e0588fa

Observation 0695f3ae-478a-4700-a002-8ef519ae4d8a · outbound

This paper cites Llm2clip: Powerful language model unlock richer visual representation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Llm2clip: Powerful language model unlock richer visual representation

Reference 35

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source=pdf_text observed=2026-08-07T05:25:44.161137Z digest=sha256:2dd9e0e2b543cf0879aaf35832a490b3d7a2b0f3205f51cebc8f135e64f30bc3

Observation 3a60a612-5238-4cb7-b067-5a1c93532628 · outbound

This paper cites Imagen 3, 2024.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Imagen 3, 2024

Reference 36

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raw_fallback, observed 2026-08-07T05:25:45.511400Z

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=2026-08-07T05:25:44.165584Z digest=sha256:22e28b6108e3c8b5d1452dcebee8ce8cbaa1fad8a7577cbe1701f80826a923c9

Observation acd379d9-af82-4da0-adee-6decab8d9562 · outbound

This paper cites Pick-a- pic: An open dataset of user preferences for text-to-image generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Pick-a- pic: An open dataset of user preferences for text-to-image generation

Reference 37

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Observation 0e2bb515-390b-44e1-89c3-c43d159f40e7 · outbound

This paper cites an unresolved cited work.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-07T05:25:44.174864Z digest=sha256:c282aa3fbbea6eb6fd9a2b5f2902eb0ef34a394bcfb14b8f69ad80ca4dcc2243

Observation 57a1ef34-babb-4bcd-8a90-6077c31f9dce · outbound

This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation

Reference 39

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source=pdf_text observed=2026-08-07T05:25:44.179662Z digest=sha256:bd6dacc904bc49f477576266d7021620c4d4d932f832fb093b7e32ad6499cde1

Observation af7f3d7c-83b6-460d-8f3b-eb2989350fb5 · outbound

This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024

Reference 40

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source=pdf_text observed=2026-08-07T05:25:44.184414Z digest=sha256:b17ff03b62780001d8cacadb31ca0e77bf4619a9b5213172bb8348dd2a8cb712

Observation 93446f06-d01f-42b5-addf-57f1fd37a952 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 41

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source=pdf_text observed=2026-08-07T05:25:44.188963Z digest=sha256:7422cacd3ad3c9c9ca1fd2cdab721b6f829d1675d5a37627b2ce61a3198380aa

Observation b1d644db-517c-43f0-82e0-07ae67a7ccf6 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 42

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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=2026-08-07T05:25:44.324766Z digest=sha256:ebd7e78641a93d324ab4099728f8baba0f922e271dd5ddc98a5e41158440d56d

Observation c19071cf-049e-4ce7-b263-d227424ead75 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 43

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source=pdf_text observed=2026-08-07T05:25:44.329662Z digest=sha256:068d0571fa30202166b1b2c2a367c79d41c38363071a539e4b9e82e831c1170f

Observation 207e4c3a-93a8-4f0c-940d-efe9d6d35553 · outbound

This paper cites Gpt-4o system card.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Gpt-4o system card

Reference 44

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source=pdf_text observed=2026-08-07T05:25:44.334614Z digest=sha256:913f3e792caf34a3354f3387bfb4e86d1a0a866450a2c4fbb6c4b789fd04880c

Observation 1524515d-0ee5-492d-9439-a6f628046347 · outbound

This paper cites Introducing 4o image generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Introducing 4o image generation

Reference 45

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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=2026-08-07T05:25:44.339063Z digest=sha256:7393966aff58fdca8cde59835539fb4fb98d5732fc3bedf7c03984293d4754d4

Observation 220f40d5-9c80-4ceb-8cc6-64d61211148c · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 46

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source=pdf_text observed=2026-08-07T05:25:44.344113Z digest=sha256:0251a6c34771be94b92abee49fdbf4a35b3c676aed99f633fc56bcd30c3dcec2

Observation e7405897-fa72-4c77-9977-948a928a367e · outbound

This paper cites Lumina-image 2.0: A unified and efficient image generative framework, 2025.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Lumina-image 2.0: A unified and efficient image generative framework, 2025

Reference 47

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source=pdf_text observed=2026-08-07T05:25:44.348906Z digest=sha256:6b324deeee7d4a4aa2b996166ba84a50b0f88a9b977bb68be50fa6dc6e6a30f6

Observation ef9be859-608e-4677-a58a-2d2f2b39bf22 · outbound

This paper cites PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models

Reference 48

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source=pdf_text observed=2026-08-07T05:25:44.353897Z digest=sha256:a27982d7a37ab1eb3dc1c6844452069525959eb13f3418d7822ca54d088b406f

Observation 42a7b0b3-c958-493a-9286-6edac2e725a4 · outbound

This paper cites Learning transferable visual models from natural language supervision.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Learning transferable visual models from natural language supervision

Reference 50

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source=pdf_text observed=2026-08-07T05:25:44.364376Z digest=sha256:b5cf3fa4610500adfcc5d8bdc5b890dfd479bd6cc01fc553bb79535cb7cfae79

Observation 9e90daba-94ee-4897-9e8c-ce0b37685468 · outbound

This paper cites Language models are unsupervised multitask learners.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Language models are unsupervised multitask learners

Reference 51

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source=pdf_text observed=2026-08-07T05:25:44.368924Z digest=sha256:2ce0a2fd08610217c8440c055a0e0519a17530e77568f16d2823af6afa2b41f3

Observation e62e35a5-d6ab-4e8b-aff7-21cf83a24ce2 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 52

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source=pdf_text observed=2026-08-07T05:25:44.374272Z digest=sha256:ed176c224ce44fc42a4425d4723bb407dd51d673726f7ce8898cc1eefcf5e646

Observation 5dd96539-18fb-4c72-a978-da805d2c4f69 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 53

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source=pdf_text observed=2026-08-07T05:25:44.378716Z digest=sha256:46cd8c327d191f31877b992daf6642cc16c1003a75052c9d42fb4f71c33cfc94

Observation 6e033c79-ef6c-44eb-9dc0-8bff93d04ee8 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Zero-shot text-to-image generation

Reference 54

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source=pdf_text observed=2026-08-07T05:25:44.383658Z digest=sha256:8ef4c284f4ebade5f9c8384c136881dcdbe8d00026ff7f070c300a31cb85556b

Observation 783e479a-eb5f-4b52-869c-2383b41277e5 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation High-resolution image synthesis with latent diffusion models

Reference 55

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source=pdf_text observed=2026-08-07T05:25:44.388060Z digest=sha256:384736fab874bb77b2438b6ec46e7b7199b1ec14b7b97248e0a4a7663379b572

Observation c5000dc2-bdef-4a2a-8c4a-742e1dde46f6 · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Photorealistic text-to- image diffusion models with deep language understanding

Reference 56

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source=pdf_text observed=2026-08-07T05:25:44.394044Z digest=sha256:72d105c590a18687e0d0c5d0891482773653d13b144e1ce0572fe8bd245e473c

Observation 373711cc-d37d-488d-b2b6-cde41f1e96d0 · outbound

This paper cites Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 57

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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=2026-08-07T05:25:44.399509Z digest=sha256:4531851e7dfdbbf3efacaf1adc39752b61e419f8ce2532ada46e279fcad702f6

Observation a4cec638-0a26-49a3-8f32-3db73838c31b · outbound

This paper cites Measuring Style Similarity in Diffusion Models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Measuring Style Similarity in Diffusion Models

Reference 58

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source=pdf_text observed=2026-08-07T05:25:44.404354Z digest=sha256:88bae94f7b186288b433dbaa8dbbb18713db0c7d2b00d40b28fa4ab77c57a6d7

Observation 52fe9ff2-7635-435d-b8ab-18940e5915b3 · outbound

This paper cites Denoising Diffusion Implicit Models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Denoising Diffusion Implicit Models

Reference 59

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source=pdf_text observed=2026-08-07T05:25:44.409667Z digest=sha256:da7c359214f2413132aef81a2fa04f644c61829199c34697283649d170d351fd

Observation d0bc6807-5c52-4eb1-90c8-ab840810a3b6 · outbound

This paper cites stable-diffusion-3.5-large.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation stable-diffusion-3.5-large

Reference 60

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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=2026-08-07T05:25:44.415559Z digest=sha256:a205c1c96586befec1b4184318c7b005d353547ea4be9bc2c3c24d8b28b14a3f

Observation 8ea5534e-b4bb-429d-a619-65ec5d00e7de · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 61

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source=pdf_text observed=2026-08-07T05:25:44.420597Z digest=sha256:3c7e5185e2f164f1a9c043fc9e6c491cd22822e8e19074cee7c92fa7476c2f0f

Observation f73d692f-6367-479b-b28d-b770f2fcec2d · outbound

This paper cites Evalalign: Evaluating text-to-image models through precision alignment of multimodal large models with supervised fine-tuning to human annotations.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Evalalign: Evaluating text-to-image models through precision alignment of multimodal large models with supervised fine-tuning to human annotations

Reference 62

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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=2026-08-07T05:25:44.425146Z digest=sha256:731e7c71dd490dfd6198e05b020a78baee96404abc6736b0428db2773793d87e

Observation 181de5af-0728-47ca-8398-898db9ce1af6 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 63

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source=pdf_text observed=2026-08-07T05:25:44.429923Z digest=sha256:904351baa5de32e85937a38132d7600bec08fa6995dcebc906a9a4f023adc193

Observation 05a32a37-fbc0-45c4-a9b6-85cd2b48eb85 · outbound

This paper cites Kolors2.0.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Kolors2.0

Reference 64

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source=pdf_text observed=2026-08-07T05:25:44.434498Z digest=sha256:39cb539d776632829974ab5d22ec91ff4896905c795fe201b1a15785ecf923e2

Observation 448a2f39-c47c-42f5-b174-deb4fb53bd21 · outbound

This paper cites How to create sota image generation with text recrafts ml team insights.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation How to create sota image generation with text recrafts ml team insights

Reference 65

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raw_fallback, observed 2026-08-07T05:25:45.287831Z

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=2026-08-07T05:25:44.438808Z digest=sha256:56454aba84cb83c6f29b1ea17c78e934a84f4b28b2f811664d7149155602e4e8

Observation c2ae66e5-18e1-4242-9ba0-a7b9ba6c4eea · outbound

This paper cites Recraft v3.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Recraft v3

Reference 66

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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=2026-08-07T05:25:44.443618Z digest=sha256:675ae95b91893ae1c3b9abf4ce13df20afd6e70cc40d4a511b2525c908493b72

Observation 13106869-5090-48b4-bf5b-7f15e51e5d4e · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 67

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source=pdf_text observed=2026-08-07T05:25:44.448457Z digest=sha256:e8ba2cd29be7ce3cae34fb2542a02110d951b9251ea28d7ac56fbc76b9fb9c8a

Observation 8c9e52a7-9376-499a-9888-4cc69efb9600 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Emu3: Next-Token Prediction is All You Need

Reference 68

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source=pdf_text observed=2026-08-07T05:25:44.453240Z digest=sha256:d010a1d234d5da83303ebb313cb3e2b0ad10a207e3b0fb908ca8b94f0cac5630

Observation 2eeba09a-a1c8-43b2-8348-8fa434d0148a · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Image quality assessment: from error visibility to structural similarity

Reference 69

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source=pdf_text observed=2026-08-07T05:25:44.458981Z digest=sha256:4e68c1f0594d6a8afe4daea8a3a64ee5ac794cd2e4f63d1bf8ebb49fd8446088

Observation ac1cb8d5-3e7a-40dc-a870-2c8bc2c35341 · outbound

This paper cites Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings

Reference 70

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source=pdf_text observed=2026-08-07T05:25:44.463994Z digest=sha256:aea5ce8a6d9858bc1ae81c19e44920a33f5a06786942f8c187174249ae85aa5c

Observation c67b9732-02e1-478b-8c54-be1a6568717f · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 71

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source=pdf_text observed=2026-08-07T05:25:44.468825Z digest=sha256:c9fee47b3abea7c0a010843923cbc421ab7ac5150b7304afc9bc2659789ba94b

Observation 170abaf6-347f-4310-9c00-3d5f7aa819f9 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 72

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source=pdf_text observed=2026-08-07T05:25:44.474579Z digest=sha256:268736c6d9ca850e36fd18e2860b8d87db3262a876fe54079a69133fc2bd4fb0

Observation 8f301db4-0be5-4268-8054-69fe550fc666 · outbound

This paper cites Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer, 2025.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Sana 1.5: Efficient scaling of training-time and inference-time compute in linear diffusion transformer, 2025

Reference 73

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source=pdf_text observed=2026-08-07T05:25:44.479994Z digest=sha256:22c4df976fe733a34423791ba9a9878dee6f8268833456dd5c7bff96f1a12ca3

Observation 614d90cd-6d56-4b5d-9109-217b96512529 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 74

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source=pdf_text observed=2026-08-07T05:25:44.485018Z digest=sha256:7686d35f7824dcc3ede0452ed5aa793fef75006852de1300c9922b36f9cc35e3

Observation b659cb1e-ddd8-4f3f-9172-17de88b0f0ab · outbound

This paper cites Show-o2: Improved Native Unified Multimodal Models.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Show-o2: Improved Native Unified Multimodal Models

Reference 75

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no resolver link, observed 2026-08-07T05:25:44.490660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.490660Z digest=sha256:4632ac9fd7c22495cada4e551d4bd0d22d12bf147d34c6ee0a525038d8fef32e

Observation 739d742f-a702-4a60-95fa-849647ae7b45 · outbound

This paper cites CSGO: Content-Style Composition in Text-to-Image Generation.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation CSGO: Content-Style Composition in Text-to-Image Generation

Reference 76

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source=pdf_text observed=2026-08-07T05:25:44.495435Z digest=sha256:b695ec8898054c45455af2f51e2dd9e3c9c8b0ca17753e88cb64f82a676619b1

Observation 25a8ef6f-7c96-4537-acab-f6ba0e316079 · outbound

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

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 77

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no resolver link, observed 2026-08-07T05:25:44.500274Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.500274Z digest=sha256:b4abd50be1d3077cc3b7796247f93f8f7626a7c663fe7a31e4161cca377fdfa3

Observation 01b65e69-e555-45a6-b796-a459c967543b · outbound

This paper cites Cogview4.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Cogview4

Reference 78

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raw_fallback, observed 2026-08-07T05:25:45.235804Z

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=2026-08-07T05:25:44.505964Z digest=sha256:5417a9a4c61b3ea6e100dae5ad4b42c68251ba2eb46951a47c217c23bc2b780b

Observation 5119290e-d55a-449d-b210-6d98d9551256 · outbound

This paper cites Sigmoid loss for language image pre-training.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Sigmoid loss for language image pre-training

Reference 79

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.510477Z digest=sha256:d441ff261a9c01e3643b07d327c091aab90cfe8a771f43b289a2802f31c7b231

Observation cd798b1e-c5ac-4aa6-9482-7b19ef2ffb2f · outbound

This paper cites Worldgenbench: A world-knowledge-integrated benchmark for reasoning-driven text-to-image generation, 2025.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Worldgenbench: A world-knowledge-integrated benchmark for reasoning-driven text-to-image generation, 2025

Reference 80

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raw_fallback, observed 2026-08-07T05:25:45.209610Z

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=2026-08-07T05:25:44.515840Z digest=sha256:a1e7e804aafe143ccc5ab8784328741d931442c6c0c753a8b3b95e1cfa219f9e

Observation eac599bc-6709-4c91-a204-1626b965f6c9 · outbound

This paper cites K & R" is the abbreviation for.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation K & R" is the abbreviation for

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.192133Z

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=2026-08-07T05:25:44.520732Z digest=sha256:a8543cdee056947bbf987294e02a996e35a5cc0b085021de788da5b9f28c973a

Pith citing papers

Observation b1f74876-055f-44f3-90c4-18203316a66c · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 13

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arxiv_id, observed 2026-05-12T18:51:16.085575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T18:51:15.428692Z digest=sha256:748084488b22a027cfdb6ef3899b6d11a6844cc19b2de84250f6687deb0c281b

Observation fba26abe-b8c3-4469-9e75-f0cae9f0748d · inbound

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again cites this paper.

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 81

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no resolver link, observed 2026-08-06T12:10:08.475625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:10:08.475625Z digest=sha256:0dcea4b5e2fb3661ca83d940f8c1beb76ff6b0372db07899c570ae2909cd97c9

Observation 22f6b097-4e7f-41ab-9e57-d280bed86530 · inbound

Qwen-Image Technical Report cites this paper.

Qwen-Image Technical Report OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 5

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arxiv_id, observed 2026-05-10T14:29:06.936121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:29:06.883874Z digest=sha256:7cc8c16d588b1b45d3f6c038b980f95d48c487c6da2536c88c3f86a0385b55a4

Observation c1c9beee-3b0d-41a7-af2f-2b5562734f09 · inbound

Interleaving Reasoning for Better Text-to-Image Generation cites this paper.

Interleaving Reasoning for Better Text-to-Image Generation OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 2025

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no resolver link, observed 2026-08-04T22:55:44.864389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:55:44.864389Z digest=sha256:75060bc09d0667199653797e8277f81697f61d57209eecd67943d8e22bde3d11

Observation 7074b797-ab45-45af-9c31-e98a5a625764 · inbound

Emu3.5: Native Multimodal Models are World Learners cites this paper.

Emu3.5: Native Multimodal Models are World Learners OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 12

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verified exact
arxiv_id, observed 2026-05-18T01:12:13.675245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T01:12:13.426640Z digest=sha256:46fc124e3ebd9a1a9bfecbec2d92192b2fd2080b1b02d1cd07c9ee6bbcb518f2

Observation 6a23d3a8-3df1-4f94-b84b-6199dfdfac30 · inbound

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cites this paper.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 9

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arxiv_id, observed 2026-05-11T14:08:37.325689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T14:08:36.801359Z digest=sha256:7ce20a0e9067ced1e43f9bc4f937649b6eab1c38f18287bf8076818606773b52

Observation 245f5d62-2469-4ceb-8d6f-5b2ee348c88f · inbound

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cites this paper.

Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 9

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no resolver link, observed 2026-08-03T19:47:30.934626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:47:30.934626Z digest=sha256:4539687174b076bc1494700382fc08f58b3b4f15e2a51d24f7a58221d4b1e12d

Observation 568bf610-c062-4a32-9e82-cbf03f3e8202 · inbound

Nucleus-Image: Sparse MoE for Image Generation cites this paper.

Nucleus-Image: Sparse MoE for Image Generation OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 43

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verified exact
arxiv_id, observed 2026-05-11T10:26:00.452725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:30:46.994872Z digest=sha256:280ea394e5d0cac6732378f3400074ef1fe87ae3272df5c12fd679522ada1222

Observation 804c0179-ebd8-4a8c-a3e3-ba96c5e1152f · inbound

Knowledge Visualization: A Benchmark and Method for Knowledge-Intensive Text-to-Image Generation cites this paper.

Knowledge Visualization: A Benchmark and Method for Knowledge-Intensive Text-to-Image Generation OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 6

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arxiv_id, observed 2026-05-11T19:06:12.389791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:31:52.893480Z digest=sha256:5f76c6c7779992104d0a6ad03f1436901435fbc60754b59a31c2d0a14251120c

Observation 71d5c1ad-1931-4f39-988a-69d7aa632b8f · inbound

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture cites this paper.

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 12

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arxiv_id, observed 2026-05-13T05:17:18.581960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T05:12:37.339084Z digest=sha256:31cbbe3fe742ad14cf413e4fb6e4ffa944df367a1bb75e3d357d0955ed591447

Observation 9f0355ce-c8f9-46f5-bd35-77f9a17a7aba · inbound

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data cites this paper.

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 2

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arxiv_id, observed 2026-05-20T06:13:05.219203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T06:13:01.821585Z digest=sha256:5af8bafab462403387c69c1ac0cf4441a2e84ce70c892ac567b3c57fea7044de

Observation 5b6d85ca-6a43-4c61-b1b2-4ede8d1828a1 · inbound

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data cites this paper.

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 2

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verified exact
arxiv_id, observed 2026-06-30T18:14:59.858980Z

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=2026-06-30T18:12:11.972394Z digest=sha256:dd49d83cf21dd74930c270e977f262abcc7fa0399105ea5f2bbcf38f925f254c

Observation cb589d4d-a51a-483f-837b-433042cf561f · inbound

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation cites this paper.

High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 1

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arxiv_id, observed 2026-07-03T10:37:56.949559Z

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=2026-06-27T09:54:36.000245Z digest=sha256:bbb553793f9e485b32d907e5ff22e407b4de0c224cac53b5d552f3f7b01d564d

Observation 80b153a3-d307-46a6-a802-f7767d3dddfc · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 212

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arxiv_id, observed 2026-07-03T14:28:29.699718Z

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=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:c91dd5bfcab65aba93c67de4959224af6d540244b1d8b7d03d17f42387f5303b

Observation d73c5fff-b468-4059-aea2-1df7d5fd5d0f · inbound

WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization cites this paper.

WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 23

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arxiv_id, observed 2026-07-04T03:39:29.338045Z

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=2026-06-26T17:54:09.656061Z digest=sha256:c81f2debff61087c5a4710fb54bb074a28cdc5d79f6ba3d7fd7ea317e7bbf724

Observation 37bfc01f-92ce-4066-bd89-395025e787b6 · inbound

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing cites this paper.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 4

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arxiv_id, observed 2026-07-04T13:39:51.252294Z

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=2026-06-26T04:59:12.294502Z digest=sha256:a812a1c74adaacaff844b8c1bf0ee17065618c920e9df91d1c1be43be1ba20be

Observation 3700a9bf-6ff2-4cf6-8ab3-46ed487984da · inbound

COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows cites this paper.

COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 56

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arxiv_id, observed 2026-07-03T14:28:31.278327Z

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=2026-07-03T14:22:25.280140Z digest=sha256:b43cd5513d68ccfb75f3bfa2a1876ab2a8fdb0b40481cec51c81792c809258cb

Observation 3bf47c79-a902-40c7-92ea-b1dd3384aabc · inbound

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget cites this paper.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 21

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no resolver link, observed 2026-08-02T06:13:51.220875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:13:51.220875Z digest=sha256:2416199f0a35700854a8085c8646953f65ace171747b1ca4056e84de29bd770d

Observation 5f638d58-3ce3-4a7f-9114-9e0ae05d6ef8 · inbound

Parallel Decoding Distillation for Fast Image and Video Generation cites this paper.

Parallel Decoding Distillation for Fast Image and Video Generation OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation

Reference 8

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no resolver link, observed 2026-08-01T00:57:36.484539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:36.484539Z digest=sha256:b2bb3df416533a3c1178b716d34ad7d554cbe663e0a5763b30f626c8a5715123