Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:20.868273Z
Paper Citation Record · LEDGER
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 17 inbound Pith citation observations for arXiv:2506.02161.
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 2026-08-05T20:44:16.332457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:39:58.183804Z
Reference resolution
47 of 47 outbound references displayed
- verified exact1
- verified fuzzy33
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7ff905bf-341b-45f3-9578-3604d525bb03 · outbound
This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? High-Resolution Image Synthesis With Latent Diffusion Models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.569799Z
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 8e7e68a8-6871-466e-9dff-6bbe2f888771 · outbound
This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.558683Z
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 13edd74b-bb06-4021-be70-92906ebea776 · outbound
This paper cites PixArt- Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation, March 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? PixArt- Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation, March 2024
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.546906Z
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 d76aa8f4-7e3b-49d9-a893-3801d9858507 · outbound
This paper cites PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models, January 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models, January 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.535901Z
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 ce296ab9-d4b2-4730-8159-a8ef43c3afe0 · outbound
This paper cites PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis, December 2023.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis, December 2023
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.524832Z
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 5d428585-9253-442d-a054-c3ffd40912b7 · outbound
This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation, February 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation, February 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.512514Z
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 aa994f09-1958-4c7a-b53f-16ca9548f966 · outbound
This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models, October 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models, October 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.500419Z
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 c1da543c-d3b7-4b5a-ac5b-ceefcc5f0035 · outbound
This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Flux.https://github.com/black-forest-labs/flux, 2024
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.727512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb5ae75c-c0d9-4796-aff1-4b1ff5056002 · outbound
This paper cites SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation, March 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation, March 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.482294Z
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 883a058c-3e0b-40cf-8789-dfc2789a4da8 · outbound
This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer, March 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer, March 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.471370Z
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 8133f7a2-0acf-4c60-a818-418394433491 · outbound
This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers, October 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers, October 2024
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.459949Z
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 d9199a8c-be61-4d0e-afb5-47c79af3ffe6 · outbound
This paper cites Improving Image Generation with Better Captions.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Improving Image Generation with Better Captions
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.448476Z
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 638667a5-baac-41ff-b36a-d16d6f44466b · outbound
This paper cites Imagen 3, December 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Imagen 3, December 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.436139Z
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 44747427-b8aa-4b85-847b-e793814bd62c · outbound
This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT, June 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT, June 2024
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.423834Z
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 9698db62-1f56-4938-ac68-436fc63f0d99 · outbound
This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding, May 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding, May 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.412266Z
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 28305e17-2cef-47c9-af23-42337bbf3015 · outbound
This paper cites Autore- gressive Model Beats Diffusion: Llama for Scalable Image Generation, June 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Autore- gressive Model Beats Diffusion: Llama for Scalable Image Generation, June 2024
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.400614Z
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 3c2a6e9d-65f4-439a-ae43-a6733840b6cc · outbound
This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.388705Z
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 4ae405c8-f22f-44b4-b98d-85b2d13d0a1c · outbound
This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation, October 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation, October 2024
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.377520Z
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 d1e3c665-6d92-4bed-8ed5-a72308b59dd8 · outbound
This paper cites Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Infinity: Scaling bitwise autoregressive modeling for high-resolution image synthesis, 2024
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.366781Z
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 27e0a2a4-a500-46c6-bd41-3bc3a3af796c · outbound
This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Visual autoregressive modeling: Scalable image generation via next-scale prediction, 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.355174Z
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 83c040ef-08e5-41b0-af2d-d48571acb7df · outbound
This paper cites Lumina-mgpt: Illuminate flexible photorealistic text-to-image generation with multimodal generative pretraining, 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Lumina-mgpt: Illuminate flexible photorealistic text-to-image generation with multimodal generative pretraining, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.344009Z
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 d51ba9b8-8998-4242-9582-26b28514a842 · outbound
This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.777967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 553d2b69-b567-4d94-9e80-6517d6fa6cf0 · outbound
This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.782033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5740b8a0-7f7d-4d14-bbd8-a9ff0c6050f9 · outbound
This paper cites Delving into rl for image generation with cot: A study on dpo vs.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Delving into rl for image generation with cot: A study on dpo vs
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.332109Z
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 29c3bb24-c953-4a06-a08b-71225aea3583 · outbound
This paper cites Mavis: Mathematical visual instruction tuning with an automatic data engine, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Mavis: Mathematical visual instruction tuning with an automatic data engine, 2024
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.789700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 364380b4-c6ac-44bd-b570-7102361c36ee · outbound
This paper cites GPT-4o System Card.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? GPT-4o System Card
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.793233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d8027c9-2d2e-49c1-95c2-c923e1d5c232 · outbound
This paper cites Imagen 3.arXiv preprint arXiv:2408.07009, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Imagen 3.arXiv preprint arXiv:2408.07009, 2024
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.796866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38ea550e-9121-49d3-8525-8b8566278a0b · outbound
This paper cites Midjourney.https://www.midjourney.com/, 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Midjourney.https://www.midjourney.com/, 2025
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.312181Z
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 80ac617c-712c-41de-80d3-f01aff1c76fc · outbound
This paper cites Evaluating text-to-visual generation with image-to-text generation, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Evaluating text-to-visual generation with image-to-text generation, 2024
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.804182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86971d00-3aaf-4745-8f7c-19e4f6ee8703 · outbound
This paper cites Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis, 2023.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis, 2023
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.291926Z
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 179e58ca-b814-4fec-b29f-d1697ca4881e · outbound
This paper cites Visionreward: Fine-grained multi-dimensional human preference learning for image and video generation, 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Visionreward: Fine-grained multi-dimensional human preference learning for image and video generation, 2025
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.280082Z
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 0b779615-ad05-463c-9eeb-48d67760f83d · outbound
This paper cites T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation, 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? T2i-compbench++: An enhanced and comprehensive benchmark for compositional text-to-image generation, 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.267638Z
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 335d14f5-8436-407b-9f55-189d1330a751 · outbound
This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment, 2023.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Geneval: An object-focused framework for evaluating text-to-image alignment, 2023
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.817874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43520612-cb4f-4e8c-afe1-d38d1ebc2401 · outbound
This paper cites Genai-bench: Evaluating and improving compositional text-to-visual generation, 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Genai-bench: Evaluating and improving compositional text-to-visual generation, 2024
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.246996Z
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 92376c32-a6e6-4ef3-8acd-2cd6bdb6b3e2 · outbound
This paper cites Improving image generation with better captions.Computer Science.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Improving image generation with better captions.Computer Science
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:33:20.824806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2a9b0fa-ba67-4406-a5f5-add6511584e3 · outbound
This paper cites LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization, March 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization, March 2025
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.227046Z
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 21cad2aa-f441-4178-949a-b0481e52e804 · outbound
This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens, October 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens, October 2024
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.214959Z
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 746af4be-104a-40f3-960b-b608a9d7629a · outbound
This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning, March 2022.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? CLIPScore: A Reference-free Evaluation Metric for Image Captioning, March 2022
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.202989Z
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 fd884cf7-ad9b-42c9-9dfd-821e887dd63c · outbound
This paper cites Imagine-e: Image generation intelligence evaluation of state-of-the-art text-to-image models, 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Imagine-e: Image generation intelligence evaluation of state-of-the-art text-to-image models, 2025
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.190697Z
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 3a90cc84-1aa0-4993-9884-a014d9ecaccd · outbound
This paper cites Lex-art: Rethinking text generation via scalable high-quality data synthesis, 2025.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Lex-art: Rethinking text generation via scalable high-quality data synthesis, 2025
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.179154Z
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 0b22b191-896d-4a76-9abd-cc14c3c140d2 · outbound
This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation, October 2024.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Show-o: One Single Transformer to Unify Multimodal Understanding and Generation, October 2024
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.166941Z
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 40e9853e-f855-4e1c-a50c-1adb1e4d4582 · outbound
This paper cites yes" or.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? yes" or
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:33:21.153739Z
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 91e5dbe3-bc54-4686-8356-dcf7b0b11bc2 · outbound
This paper cites an unresolved cited work.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:33:21.142023Z
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 79d57472-ea30-4575-9ae7-717b21dc83ba · outbound
This paper cites an unresolved cited work.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:33:21.131023Z
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 e0e8501f-69f6-40cf-8445-7ac10d0a5034 · outbound
This paper cites an unresolved cited work.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:33:21.119843Z
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 ceb6d571-4669-494b-b743-5be1ca43a0ef · outbound
This paper cites an unresolved cited work.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:33:21.107473Z
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 63c0efb2-e7cf-4e25-958c-12399825e41c · outbound
This paper cites drink",.
TIIF-Bench: How Does Your T2I Model Follow Your Instructions? drink",
Reference 47
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T11:33:20.978077Z
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 31c843ec-e643-4c38-9c8d-3749a0c7960a · inbound
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:44:16.332457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea4993d5-ebd1-4f8d-82ae-6dd76d621ebe · 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 TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 c225f343-de65-4a46-a361-411e08e52309 · 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 TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:47:32.879231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf3cbdbc-5ce8-4b02-be27-9db081e56ed6 · inbound
PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models cites this paper.
PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 5fcee97d-a73a-42b4-a135-475efdaff784 · inbound
MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition cites this paper.
MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 79018805-f4c4-47fb-9475-6dbc16564c8a · inbound
DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models cites this paper.
DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 5426a6ea-7c72-416f-9124-b465d34fd5ea · inbound
From Pixels to Concepts: Do Segmentation Models Understand What They Segment? cites this paper.
From Pixels to Concepts: Do Segmentation Models Understand What They Segment? TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 90440ac1-aca8-4a53-aab1-abfff027297e · 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 TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 138
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 10be8eba-096f-4f53-8197-1919ab7cff08 · inbound
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 20830bd0-77c1-4d1b-a2ab-8587b17b6857 · inbound
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 931927c3-f230-43b4-90e6-27b7cd753e9a · inbound
Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation cites this paper.
Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 6ce8cf1b-5b0b-4e38-9c7e-8c2f33925304 · inbound
Qwen-Image-Flash: Beyond Objective Design cites this paper.
Qwen-Image-Flash: Beyond Objective Design TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 b904e49c-599d-4d83-bc9a-2b7878c35253 · 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 TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 a05b04df-904d-4a8c-9373-77a5c65176cc · inbound
IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation cites this paper.
IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 da00e805-41d0-4811-b20c-ba74f1783c8a · inbound
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist cites this paper.
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-14T01:20:44.199458Z
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 bd85c706-22c2-4052-b818-13843b71db60 · inbound
DynEval: Holistic Evaluations of T2I Generative Models in the Wild cites this paper.
DynEval: Holistic Evaluations of T2I Generative Models in the Wild TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:20:23.251121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4feca48a-f4ad-44a7-a0c2-3b5d4199eb00 · inbound
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.
Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing TIIF-Bench: How Does Your T2I Model Follow Your Instructions?
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:39:02.289063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.