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Paper Citation Record · LEDGER

Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation

As of 9 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.

pith.paper-citation-record.v1
2509.03385 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:59:25.508500Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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
  • malformed identifier0
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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

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Source-reported events for the cited work

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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

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raw_fallback, observed 2026-08-05T10:59:26.230109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.340987Z digest=sha256:6f10e5018e4d9249d801251c94936a0c83652644532c433fb0b36a3c3d472743

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.345690Z digest=sha256:55cd6c5a8779cefc68cc83a496b3300d6a76456e3a908ebe4179546bfb5c9687

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

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no resolver link, observed 2026-08-05T10:59:25.350517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.350517Z digest=sha256:c60702902302f9f25f2d3785e240306f45df611370dc1526aab9d7a71e3865c9

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

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verified fuzzy
raw_fallback, observed 2026-08-05T10:59:26.214960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.355680Z digest=sha256:d3e8a058b18a9edc76bb91ac8ed7527acac58aa846e622e331107a4a5e0a9c59

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

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raw_fallback, observed 2026-08-05T10:59:26.198993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.360671Z digest=sha256:ce81c9087c067a19198c5ba1897e05094032fe9ac089aa34cd6e57b7988c66df

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

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raw_fallback, observed 2026-08-05T10:59:26.184213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.365139Z digest=sha256:7f6e0d69ba200d2a9df5791419b4bff67f2db6b8a6c9b46bac4a0cbe12d2a85f

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

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no resolver link, observed 2026-08-05T10:59:25.370039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.370039Z digest=sha256:76912f41393d0c899ef7a375717e812328535af42bba72cd4107d2a7bb94f63c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.375259Z digest=sha256:17e0108c5fe0d2f5c2c426b92f3967765eebf19fb0a27ea5c84041bab236a49d

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
raw_fallback, observed 2026-08-05T10:59:26.152731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.380273Z digest=sha256:3fea7c300a88ad8f02cd63bf167ecc3b9e65373707146969aba62216547cce43

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.385752Z digest=sha256:28dab1800a22ba82f334c0ac862ece6c203fad6c5b2e7ab7edbbf9c5af10ced3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.390333Z digest=sha256:cc4c0c66523acb91558556c4089ed1980ae36566147582c488c2e3aa340cee23

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

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no resolver link, observed 2026-08-05T10:59:25.396135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.396135Z digest=sha256:c0a6a91e10083c671e91bfd36ef3fd879b868d2c7a9d3493363813d50bd3e126

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
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no resolver link, observed 2026-08-05T10:59:25.401255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.401255Z digest=sha256:b5d1b1f3f690482e0259e1b5127647e08f49538548d15536d81134c19bb927fa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.406793Z digest=sha256:2c1496eff330569058a8996031eef81631e3bde34ddd0ad1b8ca8b0a0922def0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.411402Z digest=sha256:a47192a0f49f7f6d7296a280772e5a9c0c9b749406e6e9204ddad0e2882e6f9c

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

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no resolver link, observed 2026-08-05T10:59:25.416483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.416483Z digest=sha256:0f256934e61c63f229e0dea05ac627c37d68408e82973c6759811ea05aee4303

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

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unresolved
no resolver link, observed 2026-08-05T10:59:25.421373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.421373Z digest=sha256:08f84f538261ed9ace4a77fc1e34b3e13285501c90c35f08d1a6ea8b6ff1ad41

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.427277Z digest=sha256:b31de31ae8ef973a01810d505ee2cac28a1b7a15572956c9613f49a2cc3ecd16

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

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unresolved
no resolver link, observed 2026-08-05T10:59:25.431963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.431963Z digest=sha256:7da0bc80e5a693ff50cffc46855c324658557b3c8e1ff2e493640efd9b9904c8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.437314Z digest=sha256:1589f7769ad57a00fb5155bb8b127b5b93c1c321cfbc9e021fe9c93aae7932f9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.442343Z digest=sha256:15bc5738f17e404e763766f9fc6e9d57a2634aa4c5a7abf00e72f7dd1b9257e9

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.

source=pdf_text observed=2026-08-05T10:59:25.447712Z digest=sha256:eaef2981c1db0497e1c5a28b09694572f8d2845fddd9d3ba1788da2c38ef54a8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.452535Z digest=sha256:a51a057b412fb562b99ae268e7bcb30c3fc67bd0e6d578d49916132f7aa8559e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.457998Z digest=sha256:c3394f1875d4107d9909864ad587306c029e7de35ca07b0227a2f2d300289546

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.462627Z digest=sha256:ed1fe0dd10aa74898ffefb78a687af2657c33c3451f82908d897032b960b1e0c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.467230Z digest=sha256:c5477aa111b464b072dbc3da08ee945b066972b90b6b0916cb1839743b2f36ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.472816Z digest=sha256:70c78181f91d0bfb08bbaf2a00254ff787be165a35dd413cd0e3e4a6277fba14

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.477888Z digest=sha256:6781cf6849578a53ce747028e9411d54d1a30427d3563886a02b904b1cadfaae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.483107Z digest=sha256:67c6afca79a306b4856413f643ef59fb36310ec83c238a272431fabe152d2563

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.487821Z digest=sha256:78778388f81437d6c49ee22f4222251ed49e76ed602dee3b9ce124b61761cd65

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

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unresolved
no resolver link, observed 2026-08-05T10:59:25.492941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:59:25.492941Z digest=sha256:b1b5ca62ae4b8cb92f7b6ec3cd2cf06348eb16833a6d8edf400b60f8f411d712

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.497812Z digest=sha256:3486ca30b157d887f9292cc623d9b64153dd6daaae99fda2cabd8c78b582554d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.503244Z digest=sha256:718fce89768389c6d6cfddd985070c929c14b92bde9a67602d36d3023962ca15

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T10:59:25.508500Z digest=sha256:e28f30f4c93295e20deb800df3114c7b6a7f0abc0b1a4e979d9ca7ca4f2fbb97

Pith citing papers

No inbound Pith citation observations are available.