Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-23T08:00:12.781392Z
Paper Citation Record · LEDGER
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts
As of 7 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2412.04300.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:33.979030Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-20T10:43:12.590798Z
Reference resolution
66 of 66 outbound references displayed
- verified exact31
- verified fuzzy4
- unresolved29
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7e894a9a-9267-476d-be30-7b74c2d72305 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.939607Z
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.
Observation 2d6c3d82-f412-4b51-9cc3-fb42595e5525 · outbound
This paper cites Qwen2.5-VL Technical Report.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Qwen2.5-VL Technical Report
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.294964Z
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.
Observation 822c1dbe-f962-4756-9270-51c711b3e79d · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.935818Z
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.
Observation 765467d5-b7fd-45de-b313-abd3605d845d · outbound
This paper cites PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-01T02:03:19.353447Z
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.
Observation 25d6f7b9-f6ce-4e61-8de5-2d4c8d4961c7 · outbound
This paper cites LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.336718Z
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.
Observation a2df1d7b-af4e-466b-81d0-49420838d83d · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.942701Z
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.
Observation c233b1b4-3b4c-4038-b494-12103e3ccd58 · outbound
This paper cites Kwok, Ping Luo, Huchuan Lu, and Zhenguo Li.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Kwok, Ping Luo, Huchuan Lu, and Zhenguo Li
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:02:44.946092Z
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.
Observation 20f725bf-de3c-4ec4-b5b2-5abf14810460 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.956767Z
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.
Observation 96889241-728e-4c84-8ba6-0aaa181b89e4 · outbound
This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.089478Z
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.
Observation afdcc556-0802-4452-b94d-39fe4267e5f9 · outbound
This paper cites Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.281911Z
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.
Observation c2075f61-d8bc-45e8-8d3f-b397d4f3e93a · outbound
This paper cites A Survey on Quality Metrics for Text-to-Image Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts A Survey on Quality Metrics for Text-to-Image Generation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.255414Z
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.
Observation 61fe701b-d584-442e-a2fd-5a71f2a9ff36 · outbound
This paper cites MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.319764Z
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.
Observation dcd4ba30-9b3e-4100-a6a1-cc5ce2a7aad3 · outbound
This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.247094Z
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.
Observation dff5b305-4e16-4062-8f80-712d11fff708 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.902375Z
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.
Observation b20ea277-3ca8-4f19-9629-1cd42ea85123 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.923843Z
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.
Observation 10ffc89b-8cb0-4d87-b381-32929dc5bcb9 · outbound
This paper cites KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.261766Z
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.
Observation deaed8b9-4b19-4392-91b0-ffd3e7949405 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.928043Z
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.
Observation c6e89d5e-e435-46ca-8a4d-f67c9609e8d6 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.953643Z
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.
Observation 6a93b224-9a35-40c8-9c4b-68bb63bcdb4f · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.820698Z
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.
Observation 8189eebd-0af6-44f4-91ff-6988e43f3314 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.823999Z
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.
Observation e61fc56c-1aac-4393-9111-0fc58d5d9837 · outbound
This paper cites VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.325540Z
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.
Observation 13c0705d-4fa1-456a-a907-0ef032f5232a · outbound
This paper cites ImagenHub: Standardizing the evaluation of conditional image generation models.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts ImagenHub: Standardizing the evaluation of conditional image generation models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.388860Z
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.
Observation 1fc3ad04-1dcc-4fed-9653-46d6d9502922 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.814278Z
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.
Observation 009c486e-e436-413d-a1e7-b38533cac5f6 · outbound
This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.382527Z
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.
Observation cca168f9-a1b7-476c-b550-c5a25fe718b7 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.817236Z
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.
Observation b076256b-8112-49ce-b681-e46c394b7f6f · outbound
This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.111250Z
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.
Observation fd531027-5a4b-4a7f-a6ee-b70d151cd42e · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.811203Z
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.
Observation 09a481e8-7b19-475a-98b0-11b52454bcaa · outbound
This paper cites TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.348684Z
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.
Observation 15660616-820d-4ace-b611-5878892086a3 · outbound
This paper cites Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.342981Z
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.
Observation 0623135b-982a-4c59-8800-c722bcdc3f2c · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.932012Z
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.
Observation 4b03d600-4e24-4f3a-973d-69627d4381e8 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.808053Z
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.
Observation 009d0553-71ed-40cf-a037-fe42df84978f · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.826902Z
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.
Observation 71ff72f8-5a43-4539-abb2-b1d6d6becd30 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.950062Z
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.
Observation a315203a-d6e4-41da-8ea4-77402fa764f2 · outbound
This paper cites PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.359287Z
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.
Observation c78048f7-343e-4bb9-8fcf-1e680af0cd72 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.891457Z
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.
Observation fff61906-122f-422a-af8a-ff5dfc7bb7c6 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.899095Z
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.
Observation 70b17459-e215-44cf-a198-31c5c46bb9a9 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.888148Z
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.
Observation 5f4bfb5c-5f0e-477f-b4e2-05ce08ec69f6 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.881677Z
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.
Observation 12f8b749-040f-43c5-8b53-40e58d7eadc2 · outbound
This paper cites DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.364774Z
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.
Observation 45af72aa-623e-4f94-ba08-46a4a7194f8a · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.884834Z
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.
Observation c4b4d029-4673-4c35-b1cf-9ed6b12f31c3 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.895820Z
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.
Observation 47482999-d34e-4df9-af07-255c6ebbf320 · outbound
This paper cites A ConvNet for the 2020s.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts A ConvNet for the 2020s
Reference 42
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T08:02:43.100989Z
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.
Observation 99750f1f-d414-4958-b0a2-13f5878fe2be · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.852373Z
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.
Observation dda9354f-b947-44fa-b6fa-d1d3164f9ebe · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.875083Z
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.
Observation 80c9d323-bb98-4d2f-aa1c-02fe1675b923 · outbound
This paper cites CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.354145Z
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.
Observation 19bc07dc-343b-418e-9e7a-1ff367711a53 · outbound
This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.240098Z
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.
Observation c914d491-be39-48b5-b3a1-fe69bac96c35 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.845457Z
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.
Observation 02c0d635-4087-497b-b023-8c9bf7da8c9d · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.849259Z
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.
Observation 6f39fc07-9048-44f9-bb0c-eeb9b6d5878c · outbound
This paper cites a m \"a l \.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts a m \"a l \
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:02:44.878262Z
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.
Observation 2eee3215-ed7b-4ab7-ae04-6a8fddd5f452 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.370211Z
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.
Observation 0357deb5-f945-4f28-954b-f79a9557f837 · outbound
This paper cites VisualPRM: An Effective Process Reward Model for Multimodal Reasoning.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.301816Z
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.
Observation f2f202ca-55c7-436d-ad5d-3d1d62dda530 · outbound
This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T08:02:43.066441Z
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.
Observation 9438b33d-66df-4c53-a501-bcf468df31e5 · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Emu3: Next-Token Prediction is All You Need
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.307168Z
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.
Observation 41a4428c-a675-4031-b3b8-9c4247367081 · outbound
This paper cites Mint: Multi-modal chain of thought in unified generative models for enhanced image generation.arXiv:2503.01298, 2025.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Mint: Multi-modal chain of thought in unified generative models for enhanced image generation.arXiv:2503.01298, 2025
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.288428Z
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.
Observation 2da67082-53bb-4547-b4ec-1214a1221650 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.842223Z
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.
Observation a3ae2f24-d652-48d1-90e9-5d658f17e546 · outbound
This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.393708Z
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.
Observation ab610bf9-60d9-4db1-a95b-78301aa662b8 · outbound
This paper cites ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.222176Z
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.
Observation 88bb567c-e926-4e7a-b70e-0b643059a907 · outbound
This paper cites Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.313619Z
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.
Observation 519dfa99-5557-425f-8788-51f51b6b75ce · outbound
This paper cites A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-06-10T02:11:10.714292Z
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.
Observation 8e511445-2a67-46f7-85d7-499ef6190a85 · outbound
This paper cites an unresolved cited work.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T08:02:44.838965Z
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.
Observation 9d8816d3-7bb2-4e7a-9683-94a1d219df76 · outbound
This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T08:02:43.331108Z
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.
Observation a7874158-7cd8-4d9c-b8a6-0879cefef147 · outbound
This paper cites GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.269386Z
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.
Observation 9df727a5-eb7b-4d0e-8911-b6742226a8fd · outbound
This paper cites SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.080070Z
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.
Observation dcdb400b-c8c0-4af9-8a94-4df983a5b122 · outbound
This paper cites LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T08:02:43.230552Z
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.
Observation e1754af9-60a8-45df-926c-0fe09712cf94 · outbound
This paper cites online" 'onlinestring :=.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts online" 'onlinestring :=
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:02:44.835085Z
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.
Observation 211fe17a-5a30-42ed-920b-7def1ede29b5 · outbound
This paper cites write newline.
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts write newline
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T08:02:44.830816Z
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.
Pith citing papers
Observation 8f14445d-b9a3-4d2a-88dd-81f43faf8828 · inbound
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models cites this paper.
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:17:33.979030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24604e82-1036-4a6d-96fb-14dfce1c20de · inbound
FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models cites this paper.
FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T10:43:12.592454Z
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.