Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:08.940261Z

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=2026-08-06T20:19:02.109816Z digest=sha256:aa76cdf7c55af10a49b9ce5401be0043109e4662ab269d0db6054341ef3a8ec7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:08.783185Z

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=2026-08-06T20:19:02.226966Z digest=sha256:43464cfee30840b0324e18c11078e1c2ba9f31303f4d89b329e1d48a417e0b74

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:02.331506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:02.331506Z digest=sha256:0cda815ffffdbc831ce27bd682827b93e51e20a1b024eafecf865e4796e6193c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:02.451282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:02.451282Z digest=sha256:cfe2ee11af9f99412edb8e0d8c659f5eb33043e52b84b2aa8eebf449ae98df19

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:02.561573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:02.561573Z digest=sha256:552133f02258a98b7a06d40e6f9caf717c8065f262203094d826ba5b8e25cf46

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:08.510380Z

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=2026-08-06T20:19:02.674020Z digest=sha256:5185afa084e031ed0ee9794b205ef52974751c7ce74868845b60eeb63de8462f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:02.761667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:02.761667Z digest=sha256:805c15326c33b4b593b0942119955b880bf6255821f4088da3f12654fc56f2c8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:08.267168Z

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=2026-08-06T20:19:02.847797Z digest=sha256:e870d490fef95debf436c8ad83bfc8004358f9726a90374cc4cea1f7db6cc2a1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:02.952834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:02.952834Z digest=sha256:50cb6ca0fad0ee259d6c1a68dee93e989d918fc674c5de76b068c4386336f996

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.050682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.050682Z digest=sha256:fb28348cc380efe9395d9c23bf78fd6343f4452e38972390a15bcc55971243a7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.122128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.122128Z digest=sha256:f694f27e27262e5c801500cdfd054ddde0e9d50afb571c248e48d8b76ea4e898

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.238325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.238325Z digest=sha256:e1ee6c926d26b946c4ebc42ea094078b7276ccde68d20ef629e2fa0357c8251f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.343235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.343235Z digest=sha256:dc63db16d53b41aa0e62b9c564c0ff605d7574a2544e693cfec22575e4c2236e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.465134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.465134Z digest=sha256:6cbb949af1e5d604c6ba232e36c56a1f23b56868bcccafa6d63917e03348e79b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.591105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.591105Z digest=sha256:bf3c99240c87317586a1fa74a00070d4016805e37a859bb7233c140ffb168f9d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:08.052892Z

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=2026-08-06T20:19:03.701387Z digest=sha256:7d32041d5dcedb23fde1d72b3e3243fc299a06264491d38a7711ea0118a3a800

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:07.777352Z

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=2026-08-06T20:19:03.777819Z digest=sha256:eca4dac6ba5ce1b568019725125b85f688770d00e65fe28b6e0b5ebd11f7a6e3

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.872819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.872819Z digest=sha256:0668bd5d759cfc669c6538327e8551940a2cda65108f5455d9cabcd258ef9065

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:03.991593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:03.991593Z digest=sha256:444596c308102f41f9229d9a221f238b7607c560146e191680f5d5d9c86b2234

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.119575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.119575Z digest=sha256:cb003859c06c3e4b5d4ac40f07ec9e9f8a4b7fb5cea623e427d77a7717560975

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.245025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.245025Z digest=sha256:f845b4b8528a91a04eb63ca2445672595c00eb76e169626babc4da34833d8ac2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.376106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.376106Z digest=sha256:614a13e3c9823d12e5fd0285e2c6f9f9816d67a572faff54739e7d12cd056de0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.519361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.519361Z digest=sha256:c32b30d513a7a8308b872e045e90d875fcafbabad4ee6678aae240089b12f798

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:19:07.509268Z

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=2026-08-06T20:19:04.670806Z digest=sha256:dcd9389c8a8d77ce69107e79f0602b43d7a59c3eb5c34fd8d9b7cad972b0bba5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.794363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.794363Z digest=sha256:1eef3b61da1f8e2d099028cd3cf526dfd0b468fb55ad8f6d4605bdbfeca0889f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.890656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.890656Z digest=sha256:fb7547859ec2f111af9ed38ebc03da8dfd052c9880c75f9e7205aaf1336deb95

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:04.990553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:04.990553Z digest=sha256:ab39fb8ae241c3884265b87e8ccb8527ae662406998d1791ec77429a7d4d0813

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

Resolution
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:19:05.115049Z digest=sha256:e1c3a97cc9628eff8bfa87f7d7163c8f65770c555b9d32b0b87d7ed45dd67b60

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:05.209014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:05.209014Z digest=sha256:fbbb44db1b14c8d3d12f0da47d29097e6c3ae2a3b0efd7cdd1f304b42e51a673

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:05.358882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:05.358882Z digest=sha256:baaab884ae95faaa03712b8ccb15e78954ae8198459e5746004f4484c5560dc0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:19:05.475777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:19:05.475777Z digest=sha256:7ef3a9e8b21c11810ff99b71b2d6938409a3e6b97b2fb2056881e31eaefe082b

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:19:07.107010Z

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=2026-08-06T20:19:05.600691Z digest=sha256:2eb7cb1357419e84b09aa4d31f4ba27cc637467081c139980d7f25bafd1a6fd4

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:19:06.975725Z

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=2026-08-06T20:19:05.718408Z digest=sha256:24504500c1e1d1a0e9ddbe824f271b32fac6b8b4fb46f9a7b74c59622af11bc4

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:19:06.836318Z

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=2026-08-06T20:19:05.823878Z digest=sha256:26d9f06e73f41e4494d4f2167a10abff0b8b501bb7ddda54210351b16d5ff736

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:19:06.705018Z

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=2026-08-06T20:19:05.953963Z digest=sha256:b36a15648180d0c48f316cdc12b3539522f6c7aac08252d959c015d226d1e1ab

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

source=pdf_text observed=2026-08-06T20:19:06.054448Z digest=sha256:a6f82afbb360605107e87a9af1fb3e582bce1962262becab177e7be2d4405c31

Pith citing papers

No inbound Pith citation observations are available.