Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T10:59:25.508500Z
Paper Citation Record · LEDGER
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation
As of 8 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2509.03385.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact3
- verified fuzzy46
- unresolved16
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c599ab3c-c612-4883-8b18-501770399f70 · outbound
This paper cites HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fe314d61-6a32-40d5-b0c2-f66bac030e41 · outbound
This paper cites Videophy: Evaluating phys- ical commonsense for video generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Videophy: Evaluating phys- ical commonsense for video generation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.647748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8814fc66-f840-41c2-83fd-f5297fd85d97 · outbound
This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 436c24cc-d651-43ff-bdc5-a4b83f42f5be · outbound
This paper cites Parkhi, and An- drew Zisserman.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Parkhi, and An- drew Zisserman
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bd40603b-14ea-4f75-9068-b28bf4deb1d9 · outbound
This paper cites Emerg- ing Properties in Self-Supervised Vision Transformers.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Emerg- ing Properties in Self-Supervised Vision Transformers
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f62c2a79-0b4e-4adf-9dcc-61ab2af8e0ec · outbound
This paper cites AnyDoor: Zero-shot Object-level Image Customization.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation AnyDoor: Zero-shot Object-level Image Customization
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 54747dfa-2a88-4180-929e-69e065574e52 · outbound
This paper cites DALL-EV AL: Probing the Reasoning Skills and Social Biases of Text-to- Image Generation Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation DALL-EV AL: Probing the Reasoning Skills and Social Biases of Text-to- Image Generation Models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.585995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 63f50de2-f1ed-42ae-ae7e-e849a234b566 · outbound
This paper cites ArcFace: Additive Angu- lar Margin Loss for Deep Face Recognition.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation ArcFace: Additive Angu- lar Margin Loss for Deep Face Recognition
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a5df3ae9-484b-47a3-9946-033742454da1 · outbound
This paper cites Benchmarking Spatial Relationships in Text-to-Image Generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Benchmarking Spatial Relationships in Text-to-Image Generation
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 6ef0bf28-e169-43e9-a899-5f92a5de5cc9 · outbound
This paper cites GIQA: Generated Image Quality Assessment.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation GIQA: Generated Image Quality Assessment
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0933f34a-9495-479c-8e7e-db86aa8b683d · outbound
This paper cites Mix-of-show: decentralized low-rank adaptation for multi-concept customization of diffusion models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Mix-of-show: decentralized low-rank adaptation for multi-concept customization of diffusion models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.539635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b7fa93cb-8760-4faf-967d-0a014dc220f7 · outbound
This paper cites UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdabd181-aaa1-456d-8f61-a0f31768d0ef · outbound
This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feed- back for Video Generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feed- back for Video Generation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.523520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c400a9e7-e3dc-4964-80ee-7610cd6cbc51 · outbound
This paper cites Seman- tic Object Accuracy for Generative Text-to-Image Synthesis.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Seman- tic Object Accuracy for Generative Text-to-Image Synthesis
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.507211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0d19bca6-a49e-4ea0-9d22-c04eb1d84e7e · outbound
This paper cites Denoising Dif- fusion Probabilistic Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Denoising Dif- fusion Probabilistic Models
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e5c2a792-cb9b-42c2-a13a-5192bc06fe8a · outbound
This paper cites an unresolved cited work.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Unresolved cited work
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0fd10c35-bcc7-4428-b92d-5bc9dd89c0d9 · outbound
This paper cites A Style- Based Generator Architecture for Generative Adversarial Networks.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation A Style- Based Generator Architecture for Generative Adversarial Networks
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.460578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cfa95bba-5eac-4dd7-8e7e-99e2c24d4ce2 · outbound
This paper cites Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.444801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3a77c6a7-ad7d-47e8-8b65-d66da8fabaa5 · outbound
This paper cites OMG: Occlusion-Friendly Personalized Multi-concept Generation in Diffusion Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation OMG: Occlusion-Friendly Personalized Multi-concept Generation in Diffusion Models
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.430358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7185352c-f22e-450c-9ef6-e7513fdf3668 · outbound
This paper cites VIEScore: Towards explainable metrics for condi- tional image synthesis evaluation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation VIEScore: Towards explainable metrics for condi- tional image synthesis evaluation
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4ef2092d-9a26-4022-bf8e-cdd5f2d043f5 · outbound
This paper cites Imagenhub: Standardizing the evaluation of conditional image generation models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Imagenhub: Standardizing the evaluation of conditional image generation models
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0c69c52d-21df-4845-9d2d-9e7c35e6f23f · outbound
This paper cites Multi-Concept Customization of Text-to-Image Diffusion.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Multi-Concept Customization of Text-to-Image Diffusion
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.383673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4254ded7-fb9f-46a6-b9b8-59ce91340016 · outbound
This paper cites an unresolved cited work.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Unresolved cited work
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1c7f0bec-e10a-49f6-b1af-d216dc26a2af · outbound
This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f97036b4-8a8a-4d9f-8cd7-a96db6eb84c6 · outbound
This paper cites Image Synthesis From Layout With Locality- Aware Mask Adaption.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Image Synthesis From Layout With Locality- Aware Mask Adaption
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0c7e291c-f3cc-4441-a1ff-ab1d7d8c8332 · outbound
This paper cites Lawrence Zitnick.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Lawrence Zitnick
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.323590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f1fdb08f-4581-40d2-9558-0a8d039a4d33 · outbound
This paper cites Evaluating text-to-visual generation with image-to-text gen- eration.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Evaluating text-to-visual generation with image-to-text gen- eration
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 65365a27-bc55-4c44-a451-893ecef85dcb · outbound
This paper cites an unresolved cited work.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Unresolved cited work
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 435c8c57-80e3-4ac0-bcdf-f3ef62fde7e8 · outbound
This paper cites Grounding dino: Marry- ing dino with grounded pre-training for open-set object de- tection.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Grounding dino: Marry- ing dino with grounded pre-training for open-set object de- tection
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 55597837-c55b-4635-9058-cb6cfa2b3f21 · outbound
This paper cites Cones 2: customizable image synthesis with multiple subjects.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Cones 2: customizable image synthesis with multiple subjects
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2c36f1ff-1a21-4d45-92b6-f84185677af2 · outbound
This paper cites Subject- Diffusion: Open Domain Personalized Text-to-Image Gener- ation without Test-time Fine-tuning.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Subject- Diffusion: Open Domain Personalized Text-to-Image Gener- ation without Test-time Fine-tuning
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 99ba8989-f8a4-4360-8e94-f691aeca2990 · outbound
This paper cites Towards a Bet- ter Metric for Evaluating Question Generation Systems.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Towards a Bet- ter Metric for Evaluating Question Generation Systems
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f3729ba3-2a8f-42ff-9c0a-1f27c838bfb2 · outbound
This paper cites Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0021bc9e-f327-4c84-b363-dfadf2486494 · outbound
This paper cites GPT-4 Technical Report.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation GPT-4 Technical Report
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f61ba8c5-6e60-44e5-9244-488b322575fa · outbound
This paper cites Dreambench++: A human-aligned bench- mark for personalized image generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Dreambench++: A human-aligned bench- mark for personalized image generation
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a15a48e3-7f38-4583-a64c-babd0c1768e0 · outbound
This paper cites Grounded Text-to-Image Synthesis with Attention Refocusing.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Grounded Text-to-Image Synthesis with Attention Refocusing
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0399363f-4586-4a42-9ab3-7afffbf0b934 · outbound
This paper cites Plummer, Liwei Wang, Chris M.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Plummer, Liwei Wang, Chris M
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0868e31e-b2fe-4ff4-83f1-1417e4a43085 · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8adedfb-a5c9-4a29-886a-feb4fca7d415 · outbound
This paper cites Learning Transferable Visual Models From Natural Language Supervision.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Learning Transferable Visual Models From Natural Language Supervision
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.169106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation dbfb5981-7c40-40e7-a3fe-9ff608c2c226 · outbound
This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation High-Resolution Image Synthesis With Latent Diffusion Models
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ce38188d-23e6-4b2e-a94c-f23b62719e35 · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.134183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2935ac23-a612-4ea3-8cbe-23ad47fd9f3e · outbound
This paper cites Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Sara Mahdavi, Raphael Gontijo-Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.118688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b0006f67-5ed1-4863-858d-c4dfa3b7dfd2 · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 298eef0a-a9b1-4daa-aeac-a70f9402e00c · outbound
This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 44
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cb8850a-fa4b-4324-adff-8488e2b1de30 · outbound
This paper cites NTU RGB+D: A Large Scale Dataset for 3D Human Activ- ity Analysis.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation NTU RGB+D: A Large Scale Dataset for 3D Human Activ- ity Analysis
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.101967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 316cc1f5-4345-4df9-9c41-80115dbd09fa · outbound
This paper cites Weiss, Niru Mah- eswaranathan, and Surya Ganguli.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Weiss, Niru Mah- eswaranathan, and Surya Ganguli
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.085634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 429402f3-bc08-4b5d-aec4-aaeffbd7ca3b · outbound
This paper cites Going Deeper with Convolutions.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Going Deeper with Convolutions
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebe11196-7118-4759-89a1-0f032d7d2bfa · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Gemini: A Family of Highly Capable Multimodal Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:59:25.421373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d23d6a0f-4a28-46b2-afd7-f564ee6eafa7 · outbound
This paper cites Diffusers: State-of-the-art diffusion models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Diffusers: State-of-the-art diffusion models
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.070226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 07aec872-ed83-48f3-9d7c-e1616c3be7f7 · outbound
This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation P+: Extended Textual Conditioning in Text-to-Image Generation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:59:25.431963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38528513-0f4a-490c-a1e8-48f336dae96c · outbound
This paper cites AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:59:25.630556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c5b1c0be-11ca-4d73-8f20-768a3ad58ce0 · outbound
This paper cites A Unified Agentic Framework for Evaluating Conditional Image Generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation A Unified Agentic Framework for Evaluating Conditional Image Generation
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:59:25.608823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1222bc61-b6f9-43d4-8f9e-6dd8c40ffbe7 · outbound
This paper cites MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:59:25.447712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c18b939d-e1e9-466f-9d84-46bb873e2f98 · outbound
This paper cites Q-Align: Teaching LMMs for Vi- sual Scoring via Discrete Text-Defined Levels.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Q-Align: Teaching LMMs for Vi- sual Scoring via Discrete Text-Defined Levels
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.054235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 32f27f7a-ff86-4000-9462-b39e2de7764c · outbound
This paper cites Freeman, Fr ´edo Durand, and Song Han.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Freeman, Fr ´edo Durand, and Song Han
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.038385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 68ba6e7e-0c1f-4ae1-b375-e9f30eeea7c7 · outbound
This paper cites Imagereward: learning and evaluating human preferences for text-to-image generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Imagereward: learning and evaluating human preferences for text-to-image generation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.021759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ca2cf8e9-42a1-4087-bce4-6565c8c23a1b · outbound
This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation From image descriptions to visual denotations: New similarity metrics for semantic inference over event descrip- tions
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:26.004937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 17d3516d-a812-4564-bd2d-f200f0df8ee5 · outbound
This paper cites Do LLMs Really Think Step-by-step In Implicit Reasoning?.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Do LLMs Really Think Step-by-step In Implicit Reasoning?
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T10:59:25.569931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0d823e10-f84d-48a0-8299-26cdc2588532 · outbound
This paper cites Joint face detection and alignment using multitask cascaded convolutional networks.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Joint face detection and alignment using multitask cascaded convolutional networks
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:25.988120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d90bafaf-62e0-4b2f-9285-c79cece63472 · outbound
This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Adding Conditional Control to Text-to-Image Diffusion Models
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:25.969848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0f7c9d09-bebb-4079-a423-a0da2835699a · outbound
This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:25.953113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 532727e3-fc14-42dd-b45b-baee8ae1076b · outbound
This paper cites Multi-LoRA Composition for Image Generation.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Multi-LoRA Composition for Image Generation
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:59:25.492941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7eece6c-bcff-4f61-b8b4-1e2d2d221c3e · outbound
This paper cites Sim- ple multi-dataset detection.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation Sim- ple multi-dataset detection
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:25.935618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d9f0ae3c-0f54-4adc-94ef-6deca4d71f5f · outbound
This paper cites noisy, blurry, soft, deformed, ugly.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation noisy, blurry, soft, deformed, ugly
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:25.918317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 587e5dd6-79c2-44cb-8b2e-630b231e6ad6 · outbound
This paper cites <Text prompt>.
Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation <Text prompt>
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T10:59:25.901110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.