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Paper Citation Record · LEDGER

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.03275.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.03275 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:19:06.054448Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f2e7d9b-d3ab-4547-ae55-fff3055ea5cd · outbound

This paper cites Stable diffusion 3.5, 2024.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Stable diffusion 3.5, 2024

Reference 1

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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.

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Observation 340efecd-c24f-458b-9a57-bcc7dcb7e6dc · outbound

This paper cites Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models

Reference 2

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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.

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Observation 4c1aec9a-773f-4ae8-89ac-54fbabb5b82b · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Diffusion Models Beat GANs on Image Synthesis

Reference 3

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Observation 3b0d1d31-54f9-4a40-a99a-94ff5ab76a71 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 4

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Observation ffe3038d-860b-4a63-80b5-eeade39fe95a · outbound

This paper cites Denoising Diffusion Probabilistic Models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Denoising Diffusion Probabilistic Models

Reference 5

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Observation 2b1979a0-fafa-4bb4-bf22-dc297934c4b8 · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Cascaded diffusion models for high fidelity image generation

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6f4559ae-8e2a-4ba2-9846-1c936ae60273 · outbound

This paper cites Video Diffusion Models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Video Diffusion Models

Reference 7

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Observation 6be8b32f-92ba-4214-8502-f2b425121930 · outbound

This paper cites T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 784b78fe-5cde-476a-9577-573d4a55737f · outbound

This paper cites GPT-4o System Card.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization GPT-4o System Card

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49dda0a4-25ab-4aad-9076-da6e8de8d196 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 10

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Observation 6d8d44c1-f07f-4d56-a04f-97560f1ea6a5 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 11

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Observation 15569571-d4e7-4e18-b1a2-93b09800926c · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 5047bfe0-fc84-4409-8e4c-e191b262316c · outbound

This paper cites Microsoft coco: Common objects in context.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Microsoft coco: Common objects in context

Reference 13

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Observation 8d4431f7-df60-4b41-97ec-5d21ae0ad12f · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Improved Denoising Diffusion Probabilistic Models

Reference 14

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Observation 0da16185-7534-4098-8573-4c49a29da352 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 15

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Observation 089e6b1e-486c-4f92-b0e6-6e36da837645 · outbound

This paper cites Gpt-4v(ision) system card.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Gpt-4v(ision) system card

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9a960b94-92d6-40cf-a570-1bb3a742425d · outbound

This paper cites Dall·e 3, 2024.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Dall·e 3, 2024

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5ce37eeb-30f2-4321-8653-317b38a0f1a0 · outbound

This paper cites Scalable diffusion models with transformers.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Scalable diffusion models with transformers

Reference 18

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Observation f12a3e8e-914b-4d2a-9d80-1c7a02f10074 · outbound

This paper cites Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark

Reference 19

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Observation 3577ce06-0b97-4738-aea0-6b88bc4291a2 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Learning transferable visual models from natural language supervi- sion

Reference 20

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Observation 3ed04e8d-abe7-4dc2-a67d-7c910f24c6c2 · outbound

This paper cites Zero-shot text-to-image generation.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Zero-shot text-to-image generation

Reference 21

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Observation cc2c466f-553e-4e3a-9e45-05f5d15587d5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization High-resolution image synthesis with latent diffusion models

Reference 22

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Observation b82c4b9e-227d-4a8e-9fc4-076865d87a82 · outbound

This paper cites Image Super-Resolution via Iterative Refinement.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Image Super-Resolution via Iterative Refinement

Reference 23

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Observation 04560d81-e4b9-4713-82c0-1f409ae41fe8 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Photorealistic text-to-image diffusion models with deep language understanding

Reference 24

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Observation fa5fece4-6226-4609-86aa-5169a591e997 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 25

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Observation 8c23da9c-88a3-4767-b5a5-a5b10e0a6b7a · outbound

This paper cites Generative Modeling by Estimating Gradients of the Data Distribution.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Generative Modeling by Estimating Gradients of the Data Distribution

Reference 26

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Observation abc6d5b4-2bc8-449f-acf5-e57d69664c03 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 27

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Observation 544b703f-98da-416d-a8b5-fab22085f4ff · outbound

This paper cites Investigating prompt engineering in diffusion models, 2022.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Investigating prompt engineering in diffusion models, 2022

Reference 28

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raw_fallback, observed 2026-08-06T20:19:07.311504Z

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.

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Observation 27854b09-cafa-4f70-8168-d273cdaf3acc · outbound

This paper cites ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

Reference 29

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Observation 5f8fe5c6-1a0e-48d9-a5ab-215c65826b28 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization TextGrad: Automatic "Differentiation" via Text

Reference 30

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source=pdf_text observed=2026-08-06T20:19:05.358882Z digest=sha256:0f2f2ec3c0fd01ec95211fc20c6ab644f2e2eee11ad4e1d01cf4df1e0ad0c0fc

Observation 9419ae14-56e3-48af-a03b-5afd9c9958e8 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 31

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Observation 4e074b25-4d05-4391-8968-e2962ad75531 · outbound

This paper cites an unresolved cited work.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 66a5baae-ad92-486c-bbfa-e25e6cd451de · outbound

This paper cites an unresolved cited work.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a1ae57cf-e348-4206-90a8-cfb451c1a7ab · outbound

This paper cites an unresolved cited work.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e86d9ce2-eae3-4245-b039-fe617cb8094b · outbound

This paper cites an unresolved cited work.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Unresolved cited work

Reference 35

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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.

source=pdf_text observed=2026-08-06T20:19:05.953963Z digest=sha256:7232991e880bd25c6d1ad13a5f9decc12a634319f1c26341ce29aa94f6a185ed

Observation b671e373-c077-47fe-b524-96f8b3b23f46 · outbound

This paper cites an unresolved cited work.

ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:19:06.567030Z

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.

source=pdf_text observed=2026-08-06T20:19:06.054448Z digest=sha256:f647c8b542054a05d88b511e55a5597105c1275af466e858775e3c4f4efd2534

Pith citing papers

No inbound Pith citation observations are available.