Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:43.986102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:43.986102Z digest=sha256:6b2ee58e19ddf3947b76fa6b5784a1b32804ade88b03b8c2400b250d119d8e81

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:43.991862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:43.991862Z digest=sha256:0cab594bddd2826c7a6c94a423a0dc07c9f73ce20b0c9a22cd7ef6390484f0d4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.003618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.003618Z digest=sha256:ebdf74eca5c8c8b347f4b02c6f4b2eec4c0b15aeff47c7fbbee5c58eb4e20dc1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.778509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.009084Z digest=sha256:48ddf1e8d09eb6983dd276f13406c32be376e4e7aae2bf13574336c7e9e149da

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.761832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.014278Z digest=sha256:89e97b3181546afee65c79e6e9030c0ab78be6aa3f66acdf67d01fc17b125848

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.744916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.019581Z digest=sha256:b34e9d4e54fd27589455d4b90a16a46d8800fff8d5fec38d868e77da85f3163a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.024265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.024265Z digest=sha256:2d8639a6a98b765ba2fa35f2e45ea1f7ff852165ec97d99be391b68d72d8514c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.728845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.029143Z digest=sha256:13724db07c99e2840fa579472b4176f199bd92e6c9cc5d52cc6f0fdd6be81321

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.033958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.033958Z digest=sha256:cbf8c44939f97d5f6044d3bf0dc0168d64ece6884338cd09ef1a4b1fa49a083b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.040123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.040123Z digest=sha256:758d0401d16a0c978cb4ac0293f72797db933c30edeafdf6041d0a81bbf51150

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.045275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.045275Z digest=sha256:75674a42de4406de4aa335964d4684efb81b80357bc45a44037d03c32addb2b8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.050469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.050469Z digest=sha256:3f1f05f58a6131631203ad2463a43df0d5b135265da6cb2162eae25493db5c07

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.055680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.055680Z digest=sha256:6fdbc38aace51ba1988e1893f435e4c499bbdf4a51623b1a8fbf5fc529163b82

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.060493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.060493Z digest=sha256:38a9b3aef2fea610f7d23851a323c90ef7d174de51985e8bf523d6647e75b383

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.691231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.065918Z digest=sha256:6a5cd89786561642a8eb0d6eb78125b3d2bf7160eca8cf6f73b275efe7116ef7

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:25:45.675436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.070702Z digest=sha256:889da5ed03955dab0c13c12490d6e90830c921d5835d47de1e27692d74f93dff

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.076301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.076301Z digest=sha256:d92aad71296827d8135ed717c8c36ec9fe861a8442681e72afa13e800fc21e1a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.658723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.081486Z digest=sha256:3614e732f16f8c560dc8e37bc4ebe12a425c991db24956bc48b95a8fcb889fcc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.086087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.086087Z digest=sha256:281a7fa86b6270ce097d251abb36170dd7ec67c2e2884b68e0dda446639bae9c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.090847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.090847Z digest=sha256:7fb13a985ae3ea22575f23d4c85001cf343bf160250132c702d7119d4830189d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.095229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.095229Z digest=sha256:d47ef1db75d8bf327d558062726a73621eca471bd0b2951d358d51c12f10e56b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.100097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.100097Z digest=sha256:78c34182c03749508de1c00aaf49e9c1c5513f1112dd29111963d06ebb0de3d8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.105493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.105493Z digest=sha256:157b5318e811ce1cf989ab9d7a43be337285993dc97e59cf569cae2a7fedd068

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.110467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.110467Z digest=sha256:c5db89d0979d198efa9e3c592436c1df151f051ecfcd558f94653da95233932e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.116471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.116471Z digest=sha256:3b36433f8cbe4e632d9ae99977f2659e70df110d289e9bb5a2afa4f1b39aff53

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.610302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.123351Z digest=sha256:4a23bb0b3cf8a83ac1f720dd496d0752170d0d203d656c0f24234da1ace6f654

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.128309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.128309Z digest=sha256:af16bdfe57f25ea5752f886b1cc8845c444dab6a3d59abdc1fa93ac80d779d5a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.583510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.132974Z digest=sha256:4b5701cf1e507b309a33e821368a120bfdc75f766a2511d38944a95eee123dfd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.137448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.137448Z digest=sha256:7628d47545939fc8c6aec4b8b2ff2354214622daf9d59efd084197c401ac4e70

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.141991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.141991Z digest=sha256:306791821f7f14c0915ecac7208ef872f0514d4016a2b4a817ac83908bebb331

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.146947Z digest=sha256:63a16fd636d54177a5724f3e8d201c7254376eb90fbeaa3d2fb1c3315fcf2985

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.151303Z digest=sha256:bdd63b8c547d638b0aacdc2c46bf7082f303eb7a2e2cbb46d293d05e251751e6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.156341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.156341Z digest=sha256:c2c21f5485270d576f7b4a1f0d1d8670027fbf457f4a91a34946ced4f6aa232b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.161137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.161137Z digest=sha256:d58e20cf030fd4a8775d8b52a96796599edfcc6503c9d670a32bd328b95c24a2

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.165584Z digest=sha256:5facae1c9315fe93c261c9c3d00179d6d6b1b426bef6d74a93527e31302f0e89

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.170115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.170115Z digest=sha256:426eb353ca0af0d992d7a8533cb18709206e635ac94862919dbebf5769806dbb

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.174864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.174864Z digest=sha256:91056800666f25e20a12b995c71a898a8bdebc9aee134b973a603938d0174949

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.179662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.179662Z digest=sha256:0e0e9bcfae461361a072c1095bf67fcfb6895497df774bfcb764c6368c77c2de

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.184414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.184414Z digest=sha256:60ca2e1487fd95da7aa7299f72137e3167bb1c87c16789cf33eb9f649f89a757

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.188963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.188963Z digest=sha256:7260ed515c37aecbbc0203236ecc24ff0c295351212b42c7eb464a9b19511fd4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.456874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.324766Z digest=sha256:c7921fa0ec1eac1561afa549c9c6b2425c6b36d6e05a58cdf4029e16d84aa42b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.329662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.329662Z digest=sha256:5c4a1decceb7e0b4b0efd3af178dc3884c555e0a618fa364e93fc272ab2acc22

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.334614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.334614Z digest=sha256:fbee44919304085157443346ce0314e68ab49734565d1aaf83b5191a194e3c5e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.432238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.339063Z digest=sha256:729b7e5eb1d85503985cf07b7dd1b4e5c25cf667a4be99edb199d5eef0816773

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.344113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.344113Z digest=sha256:17fab97d5e4287820e122758d836b175a98deaa125d68b51b7a237476fc6ab49

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.348906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.348906Z digest=sha256:301d7287badfafb0033f028fc54b506bb25e3318153e62a3d76b592691ad4134

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.353897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.353897Z digest=sha256:efefeb7313f696f12e2c4759ab24fa39e91d7b627d30600e20af15e2ffc5a908

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.364376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.364376Z digest=sha256:cd33adaf5ddc775ac7da64a7c031bd0f6e348ae4a452d0fe7c108349937ea2aa

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.368924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.368924Z digest=sha256:b5f9d648b50946505e41ba2166b6ed6e1cc4fcefb8689d752df12549aca4ccce

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.374272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.374272Z digest=sha256:515bf58bf11b36ea1e8e003112fe245f83042aa111d6da1cd28d4177c7661388

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.378716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.378716Z digest=sha256:2aebdb16ceffeec15ae4e7ff3089fbfe7a8a7edfa536f1ac5cdfbfd96240963d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.383658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.383658Z digest=sha256:80da021c070e5cbcbaa92ddba53412183c99504ff6dde612d4b69877e3aeb7be

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.388060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.388060Z digest=sha256:6be854777e1ca00d9630484f5fa81bb82ab5bcd5ee659aa4dec109f60dd82894

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.394044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.394044Z digest=sha256:1746d9f6665a491eba66839cd69b3a08aa6538c335ca1f4a1d64c26bd6661f25

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.347074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.399509Z digest=sha256:ea03e5773c24ded49c77cce84bac47b60ffa4547fa42e84b268096b01c3f322e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.404354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.404354Z digest=sha256:f01830102ebb9c178597134f09a727d39c7c2634841f3bb37913f5ce9428d2f6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.409667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.409667Z digest=sha256:ef20453772e3fd61c2a0d6ed3ac1738aa7f79fdd38a18696d6ede471019ae4f8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.330279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.415559Z digest=sha256:c47c7c96e917b117506ef3748bc207ac78c182b101b5369b008bef4926c9dee0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.420597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.420597Z digest=sha256:f70b2da4e79f43b46e94ee22e2d83cbd6e2e321d5e1553554daaf45864f75c60

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.314177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.425146Z digest=sha256:acd7ceff50602ba787d433877ba335e9d685ee4c6ed0377b31983fcb17606c28

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.429923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.429923Z digest=sha256:d8aabfeacf1fbff2d13abc6e4a7bbcb69d64dfcb69466a4e067e7a652bf3ccaa

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.434498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.434498Z digest=sha256:8bcca8237ff0f4a88245f1447a0769ad3cca01519240a471879b48a98d06af84

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.438808Z digest=sha256:098225f8845b2d0864870c3ded4265c55bee710e294edd35fde36cf51b00d85e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:25:45.271877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.443618Z digest=sha256:81fe5fdc4066cf5eb0124bc7fda856240b6288af9647ab06a45525561f4779d7

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.448457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.448457Z digest=sha256:e092651781329fa954434c34081d65a36d8fcc1ed964dc60b2713acf43f740cf

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.453240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.453240Z digest=sha256:d7375c802f96645e32641e53fc08835b20f1d781165804b5015e0e1a529be936

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.458981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.458981Z digest=sha256:df03758fa9b9946f6627d8048aa011f4563b8a7670e32be92d493219ecca4106

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.463994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.463994Z digest=sha256:6c9552a4bbceebae06756d89e80dd3db829bc1dae3d3d878e51f9efb1c8d0d6c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.468825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.468825Z digest=sha256:9e13643461166db32d6b5dc23096ce5c951c9135b3cd6d390cfd104f4bf66056

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.474579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.474579Z digest=sha256:7da27b4074e2369fb1e9032a312c4263c5bc2fa49e638a2a82808e44ec11312e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.479994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.479994Z digest=sha256:d91d3ab8040f3d99e0008d428828de28fe52924a55f4fe0964efd8b79c1dc883

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.485018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.485018Z digest=sha256:14d6564d107a90477680986587d681f716c333ae41505072c8f719812e4843f8

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

Resolution
unresolved
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=sha256:51e20509cf9262a04db15fd69d803cfc6fc220aff53d02d55fbc2733bb0fd288

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.495435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.495435Z digest=sha256:0f650d82acd98132dccc3e704ce265e11e87f96dbc2f3c91ca3124a42cf8c499

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.500274Z digest=sha256:8dd025dc7137e8e7a6a0a49d111eb6de4317999fbfc37fc7c2eb72db74e670de

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

This paper cites Cogview4.

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

Reference 78

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.505964Z digest=sha256:6740ec56b5652e4a275c563a472401e971dca594c4361bfacf748ad7ef2c89dc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:44.510477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:44.510477Z digest=sha256:952270ea55b227d7076d5f65514f5834aee943eac05da43760e205dd8cef1d76

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.515840Z digest=sha256:9a0a9b807fe5fc01bdc9e43bc2d6098edeb307fc18a564c9c94c3627764fb004

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T05:25:44.520732Z digest=sha256:a2058033f0b8390ce3b3d2a6c85d868b71940e9f7640bf61e31be2721fa2d1be

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T18:51:15.428692Z digest=sha256:a08b1d34a1734f5a969949c17b5fe099d166e74e8ef2893d35b56dbdf6fa6df4

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

Resolution
unresolved
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:dee70f79117ebf097b80692ffe44c75ef0cb033398628df7798c1db5e234b8c7

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T14:29:06.883874Z digest=sha256:a74421749a737382ceaa638e09ed1801e6855b506bb47714107d0e0ffdcb2fc5

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

Resolution
unresolved
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=sha256:024dad50129e5a964461ca647b42931de4e88cf3be48c8247ebf1441e843471c

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T01:12:13.426640Z digest=sha256:e5f8a86d191d7410a8deae6eecac13e86fde3b779e347f072c786c34fa498555

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T14:08:36.801359Z digest=sha256:cc15c23bfb2efa753458be46581f0659414b670405f50c7c57d150a6db66ba46

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

Resolution
unresolved
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=sha256:6fd8a18ebe451f43fe4f139e466b764ab0105b8776a1d38495d1861cb1af6b7e

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:30:46.994872Z digest=sha256:719840ec16790b161be43d4549e5c7f936a46b650ad81d3e23e707450b139325

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:31:52.893480Z digest=sha256:b069708db6b74fdecfefa3ba2351dd9a3875e88b8495e8c5bbf69949a7436c50

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T05:12:37.339084Z digest=sha256:da9beb2674b716b94b0f2a7128c75a241b73387e9d57534c639955e493000828

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T06:13:01.821585Z digest=sha256:edaaf457ce7a13ac85f1e8c5be875c309cce75f6ab42da8f4608629d650f3791

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T18:12:11.972394Z digest=sha256:ddadc4883e9fbb4ce4c09182545da5ba9e0110f5df7ce4ceceb0e7283877d94e

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:54:36.000245Z digest=sha256:cb612456a76550042d2f99365acb7ef216fceeb7226a0dd9fbf762e6ccdc97db

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

Resolution
metadata mismatch
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T07:01:07.362430Z digest=sha256:e07f1234e09348d04fbfeaf92f5405fdbb7f9dc89058ca630a3ebb881f3a45e9

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T17:54:09.656061Z digest=sha256:e0197f52869e2c367097c8c1e7b1516905fa409bf40be6b79323f225ee5fee8f

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:a4f807823a88c734c01b82dc10990c60ad54118c8c560a549840ae14845fa014

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T14:22:25.280140Z digest=sha256:8b0fd3983c88a50716984c1a70d6b41ecf49e33c6c236de0f20c6e42b873f734

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

Resolution
unresolved
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=sha256:0a7e9f90c854dbcc2317020aafa2b3da791a09c7895f8c3d3ca85519b589f6e9

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

Resolution
unresolved
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:ed8803811a5a0a5dbafd651b38076e76a9716945691cef65539bc74bbdd360d2