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Paper Citation Record · LEDGER

APE: Agentic Prompt Enhancer for Image Generation and Editing

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2606.00204.

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

pith.paper-citation-record.v1
2606.00204 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:58:17.807988Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:13:56.352402Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact17
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b916afa-b70c-405b-89cb-2c078ba30659 · outbound

This paper cites Improvingimagegenerationwithbettercaptions.ComputerScience.https://cdn.

APE: Agentic Prompt Enhancer for Image Generation and Editing Improvingimagegenerationwithbettercaptions.ComputerScience.https://cdn

Reference 1

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:1f6278ceb54ef23d63e4e74816b45358d8263c19df5e1964a3c2f708ce3e304b

Observation 6ac07a1a-1c56-4107-af36-6adacb35cd8c · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

APE: Agentic Prompt Enhancer for Image Generation and Editing Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 2

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local_arxiv, observed 2026-06-28T23:02:46.691177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T14:08:11.489191+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:23e8e769a231e52065e9155d7d844ef69416803eaa819c29a6b0ce3557c3aad6

Observation 6a1ad9a3-3fe0-4bbc-b08e-ac3d77968eba · outbound

This paper cites Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors.

APE: Agentic Prompt Enhancer for Image Generation and Editing Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors

Reference 3

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:f5a32c5d4cbc8af9a6d2e41bed59ae6eb0616a861a5e47683b79df98e3954140

Observation 2f0aaa64-f601-4512-a600-741deed42455 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

APE: Agentic Prompt Enhancer for Image Generation and Editing Scaling rectified flow transformers for high-resolution image synthesis

Reference 4

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:bce077cdc131b3cd7dd4e8ed57445fc3b8aa4624e4629b52ebeea1d00362c491

Observation 151d1bcb-64fb-4706-99dd-cd0f59110eb6 · outbound

This paper cites Promptbreeder: Self-referential self-improvement via prompt evolution.

APE: Agentic Prompt Enhancer for Image Generation and Editing Promptbreeder: Self-referential self-improvement via prompt evolution

Reference 5

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:94d6b17860ebd15d6d19dafd1c57a075a13239aecaf7282652e2b0a4bcc38e81

Observation 05ce9dc3-bfe8-4dc4-be7c-28ae01c1372b · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020.

APE: Agentic Prompt Enhancer for Image Generation and Editing Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020

Reference 6

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:6e65c57eac5890fdc94dd3733eba069336ee8daf8a4e696095b52dfb5ef1acdf

Observation bcf45f96-0b35-4f12-b90f-fc56f5a94766 · outbound

This paper cites Gemini 3.1 Pro.https://gemini.google.com/, 2026.

APE: Agentic Prompt Enhancer for Image Generation and Editing Gemini 3.1 Pro.https://gemini.google.com/, 2026

Reference 7

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:f954c49ea40238e2bdb343bee42a88813db3e134978d60c9b0054b681eeb203b

Observation 21dd3c2a-9759-4c9d-a549-d7a6ac8b7bda · outbound

This paper cites Large language model based multi-agents: A survey of progress and challenges.

APE: Agentic Prompt Enhancer for Image Generation and Editing Large language model based multi-agents: A survey of progress and challenges

Reference 8

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:c539fe807c02b459dabc2a1620d31c0d5cd128409a9748fd70b38f808868b344

Observation 8a2dd28a-215d-4330-824a-2acf8a217375 · outbound

This paper cites Generating an image from 1,000 words: Enhancing text-to-image with structured captions.

APE: Agentic Prompt Enhancer for Image Generation and Editing Generating an image from 1,000 words: Enhancing text-to-image with structured captions

Reference 9

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arxiv_id, observed 2026-06-28T23:02:46.711785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:41278e888868cca3745efbd59956479d74577e4acbbeadd84c10c654c78cce5a

Observation aa13d2d4-b739-4dfb-8747-4f377720ac5e · outbound

This paper cites Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.arXiv preprint arXiv:2410.12853.

APE: Agentic Prompt Enhancer for Image Generation and Editing Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.arXiv preprint arXiv:2410.12853

Reference 10

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:3a5b5201122b27a20f42309a68b9bec74d16c8afbe4f3c7e464fe82108a611d9

Observation 58b58944-20d9-4a4e-b944-a80787374394 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

APE: Agentic Prompt Enhancer for Image Generation and Editing Clipscore: A reference-free evaluation metric for image captioning

Reference 11

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:d4c4f946960c0dbd2eb814becaddb76c1ad38f8f7f084211a25cd21b9ff62c45

Observation 2431bd87-54d3-45a9-b1eb-9180411a9092 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

APE: Agentic Prompt Enhancer for Image Generation and Editing Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 12

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:54198a6409c9074684863f1b4814e6de05755810c73a713aa3168dd6bb2a3dc5

Observation ae4c89fa-1292-4911-8464-775f2062f02f · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.

APE: Agentic Prompt Enhancer for Image Generation and Editing Metagpt: Meta programming for a multi-agent collaborative framework

Reference 13

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:0ae229fa2c4b4a20fd24d7974ec42bf4b2fb40db093848f4b9c7597e28e228ff

Observation adc306eb-c717-4810-887d-b475b5304034 · outbound

This paper cites Multi-agent debate for llm judges with adaptive stability detection.

APE: Agentic Prompt Enhancer for Image Generation and Editing Multi-agent debate for llm judges with adaptive stability detection

Reference 14

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arxiv_id, observed 2026-06-28T23:02:46.719275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:83cc6a8e2d52acb1ed0c17aa40b2c749c308aa8b2f8ec207fe35cf8fe4d188c7

Observation 1b7b3feb-4a9a-4794-a90a-17d696057f5d · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

APE: Agentic Prompt Enhancer for Image Generation and Editing A style-based generator architecture for generative adversarial networks

Reference 15

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:b8e84c4d9c5623d26e553e4643c603c45224f552fcafa85c685d4a553fae556b

Observation dd1cc319-641a-4e16-b6e4-6506372cfe66 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in neural information processing systems, 36:36652–36663, 2023.

APE: Agentic Prompt Enhancer for Image Generation and Editing Pick-a-pic: An open dataset of user preferences for text-to-image generation.Advances in neural information processing systems, 36:36652–36663, 2023

Reference 16

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:deee8ad8f8f6a28b44b269e7c36155259a7dd3e1f46772d498b2d70bb7932188

Observation 55e8cf07-1ba8-4b32-b09b-928f1722d64c · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025.

APE: Agentic Prompt Enhancer for Image Generation and Editing FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025

Reference 17

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:db4ce67bc6ddc6270c9906e839ac6705404836f0eb4f5659e685361394875a6c

Observation 336cfcae-4089-4205-ac90-15030cd2d3e6 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

APE: Agentic Prompt Enhancer for Image Generation and Editing FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 18

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local_arxiv, observed 2026-06-28T23:02:46.698935Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:2fcbcd6d7abca6fd4389c87bc2c6004acc6968de7f3027bb6409bbb4908d458a

Observation 6a60901c-3407-4ccd-ae3e-d8015797bea8 · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023.

APE: Agentic Prompt Enhancer for Image Generation and Editing Camel: Communicative agents for" mind" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023

Reference 19

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:f0cc83e545e629f8f5b12741125fd47b8613fe85c7f7448f0d6b97ca9b59a663

Observation 2decc8d2-c843-4e2f-98df-a0f1afba0e9f · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024.

APE: Agentic Prompt Enhancer for Image Generation and Editing A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024

Reference 20

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:dd532f5c91845ad736163e887a8e2db3f58fc57a8c7e34486cd8562d09229605

Observation 0749671d-f48e-4c8f-ab58-60a714b101b5 · outbound

This paper cites Llm-grounded diffusion: Enhancing prompt under- standing of text-to-image diffusion models with large language models.Transactions on Machine Learning Research.

APE: Agentic Prompt Enhancer for Image Generation and Editing Llm-grounded diffusion: Enhancing prompt under- standing of text-to-image diffusion models with large language models.Transactions on Machine Learning Research

Reference 21

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:24728f8d1c96f4fb7dfa1847386ae55185cde0ddb44d5b6e30da98f072a8e678

Observation 338753bc-0da1-4737-a2b8-ce02832b6ecc · outbound

This paper cites Flow Matching for Generative Modeling.

APE: Agentic Prompt Enhancer for Image Generation and Editing Flow Matching for Generative Modeling

Reference 22

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local_arxiv, observed 2026-06-28T23:02:46.703732Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:68088875ed5caad5dddfbf927b13fdce9f19b739cdfdc85900e85aa134393b2a

Observation 0bbeceb7-baef-42be-a40b-b9ac28f640f4 · outbound

This paper cites Flow-grpo: Training flow matching models via online rl.

APE: Agentic Prompt Enhancer for Image Generation and Editing Flow-grpo: Training flow matching models via online rl

Reference 23

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:ac6aba40cb9e4d1b45de12615df6c9688f032a09e1041eb80eb2350f5ae0c7ee

Observation d750f5b7-4775-485f-8675-09b1042e36e7 · outbound

This paper cites GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization.

APE: Agentic Prompt Enhancer for Image Generation and Editing GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

Reference 24

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local_arxiv, observed 2026-06-28T23:02:46.693518Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:86d5982e037adc0c6ce295d14c86e55bcb53c6575ab438089466ad98d28ca93a

Observation cbec6285-5f9a-45fb-b379-d54767b59a93 · outbound

This paper cites Improved denoising diffusion probabilistic models.

APE: Agentic Prompt Enhancer for Image Generation and Editing Improved denoising diffusion probabilistic models

Reference 25

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:1e822d4f5c001c7c72089b7ddd70ee2ba4e136371491b40c2afa24760e96ecb5

Observation cf423438-441c-4c68-8f89-a49a83175402 · outbound

This paper cites Gpt-4.1, 2026.

APE: Agentic Prompt Enhancer for Image Generation and Editing Gpt-4.1, 2026

Reference 26

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:1a7b7f69fdbf98fe64654ff2a5940a9bb59e227f7e9c0863468b8feebc35722f

Observation 7835c2ef-c53c-4db1-b334-08378d83e754 · outbound

This paper cites Image transformer.

APE: Agentic Prompt Enhancer for Image Generation and Editing Image transformer

Reference 27

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:837609900e0bf0433c24cafa63265f6b8c9929e0a0d97eff8dcd35e50097a145

Observation 30ac5c99-a63d-45c5-9304-9e3ad6ebfa51 · outbound

This paper cites Scalable diffusion models with transformers.

APE: Agentic Prompt Enhancer for Image Generation and Editing Scalable diffusion models with transformers

Reference 28

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:f4eebfd2e7f0c80ed716dc100d3aa21f40d5fee94c2c0103ac247784c1f3b764

Observation f4d278b0-75d2-4889-a049-c59a6a80bfec · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

APE: Agentic Prompt Enhancer for Image Generation and Editing Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 29

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:47af7e09e7588439dc4d8f96889029cbcb2399cc96b46b71591bd5710fcbedea

Observation 10166929-54ed-4a69-9aee-226910b0d900 · outbound

This paper cites Chatdev: Communicative agents for software development.

APE: Agentic Prompt Enhancer for Image Generation and Editing Chatdev: Communicative agents for software development

Reference 30

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:ddedd4230e5e14141577893df1caf410f6d42deb30b24cb02fe2797f8176e143

Observation be0b6e8d-ba58-4f3a-969d-5daa911bc505 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

APE: Agentic Prompt Enhancer for Image Generation and Editing Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 31

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local_arxiv, observed 2026-06-28T23:02:46.701281Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:39767d730b1f8cf4ed8b4fe432d4975da5b4ccd46b1b65771cadc29162b44661

Observation 4b1953c6-4924-4f16-b59d-55eb01ce2c8f · outbound

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

APE: Agentic Prompt Enhancer for Image Generation and Editing Zero-shot text-to-image generation

Reference 32

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:ced7ab6c152486de426a368b787e003c06eff1491a6e130516fd9206c6792578

Observation 10c05e49-a757-4203-bedd-e5c856303f4a · outbound

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

APE: Agentic Prompt Enhancer for Image Generation and Editing High-resolution image synthesis with latent diffusion models

Reference 33

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:8f136371dcdc6b84684b5aee5faeb925179d2d9c1157314320010897401647c6

Observation 231487ca-ef94-496b-a899-f9663c6e006d · outbound

This paper cites Photorealistic text- to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

APE: Agentic Prompt Enhancer for Image Generation and Editing Photorealistic text- to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 34

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:b6625f25898733915015fd49501818720dec5b0f65e0a80e4409c7ffe9d5fd85

Observation 9cae6d0d-038e-4d64-90a8-54b7ed79ade5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

APE: Agentic Prompt Enhancer for Image Generation and Editing DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 35

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local_arxiv, observed 2026-06-28T23:02:46.688685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:54b5ac9b099b6bb9eaaba1fb938b0e2a9d7995bcf104b246c925f74b1705402b

Observation 9b9fabfa-5c58-4e15-a71e-8ae5ca5fe59c · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

APE: Agentic Prompt Enhancer for Image Generation and Editing Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.676775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:1c07cca3efd87300f3b0dc67b28fb0339bd63c67fadd6788d1d56d00e07aefe4

Observation 6e6fa907-90ff-4ccd-8237-d5487dac9ac5 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

APE: Agentic Prompt Enhancer for Image Generation and Editing Score-Based Generative Modeling through Stochastic Differential Equations

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.686321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:2f991cb3451d898cb366351129d6cb63be07f5acd5251b98f38f671d1af1a7fb

Observation cde10c8c-005a-421d-b69f-0a1292d842eb · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

APE: Agentic Prompt Enhancer for Image Generation and Editing Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.679091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:dc91f53b1b1602bb0481bba585cc2258e98f5007d881c9e04dcea35f1f17dc66

Observation 8a35aaf0-9bdb-47be-a955-59e769fc95c1 · outbound

This paper cites Conditional image generation with pixelcnn decoders.Advances in neural information processing systems, 29, 2016.

APE: Agentic Prompt Enhancer for Image Generation and Editing Conditional image generation with pixelcnn decoders.Advances in neural information processing systems, 29, 2016

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T22:58:17.807988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:c4faa6a8d32fec85380004bca61e0f7bc5d9ac226d2fcd450203f492004a9cdb

Observation e4c6f414-aa1c-426d-9cac-bcacada8d680 · outbound

This paper cites arXiv preprint:2509.04545 , year=.

APE: Agentic Prompt Enhancer for Image Generation and Editing arXiv preprint:2509.04545 , year=

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:02:46.681657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:8e3ef82ea5503f0e2b46cd22b3d78272c5c7c4eb7f716090dffb745ae2244709

Observation f57cd1e7-0859-4d68-8710-b2422bc73005 · outbound

This paper cites Unigenbench++: A unified semantic evaluation benchmark for text-to-image generation.

APE: Agentic Prompt Enhancer for Image Generation and Editing Unigenbench++: A unified semantic evaluation benchmark for text-to-image generation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.674460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:5aa0a4a2b9190c471b81631ddf437b3e5fce2452bf1552c8715094b9e72d0415

Observation b0dea0a6-3d2b-4198-b76b-fa0f3ad699f8 · outbound

This paper cites Unified Reward Model for Multimodal Understanding and Generation.

APE: Agentic Prompt Enhancer for Image Generation and Editing Unified Reward Model for Multimodal Understanding and Generation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.683974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:5c29f4b7f843b05297c4cb1c08f0fd28c462bfcc518061dff37f140522e723e4

Observation 8229f901-fb24-4995-8e6d-694aae4d4e40 · outbound

This paper cites Qwen-Image Technical Report.

APE: Agentic Prompt Enhancer for Image Generation and Editing Qwen-Image Technical Report

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.706287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:396865fbe8580f33506b51fcef25f314b53bb451857d4a901bddf3ae66e47170

Observation 3f083a94-e5ca-4a11-85fc-865a636325d1 · outbound

This paper cites Alvarez, Jun Gao, Sanja Fidler, Zian Wang, and Huan Ling.

APE: Agentic Prompt Enhancer for Image Generation and Editing Alvarez, Jun Gao, Sanja Fidler, Zian Wang, and Huan Ling

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:02:46.696477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:5f1a085167c8d9944435c3ba205e58c5aef6199dd1404fda7a48e34f21fc88ea

Observation 04be67ae-347c-401f-886c-a279f24648c9 · outbound

This paper cites Autogen: Enablingnext-genllmapplicationsviamulti-agentconversations.

APE: Agentic Prompt Enhancer for Image Generation and Editing Autogen: Enablingnext-genllmapplicationsviamulti-agentconversations

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-28T22:58:17.807988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:d14178f4f1026477c16bf3bed118b0273566f74be9731d49a24ab1486913d61a

Observation 0dee506b-8b36-4f86-81a0-38b0b1a748df · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

APE: Agentic Prompt Enhancer for Image Generation and Editing Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.714199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T14:08:11.306027+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:1ad563f22feb436c60dcdc79030cd60ff296c20ad1b11b0279b261069fabc91d

Observation 9e642931-e7cb-4f8a-b984-377e2a407ca5 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:15903–15935, 2023.

APE: Agentic Prompt Enhancer for Image Generation and Editing Imagereward: Learning and evaluating human preferences for text-to-image generation.Advances in Neural Information Processing Systems, 36:15903–15935, 2023

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-28T22:58:17.807988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:bd933cb86793ba0bc0bcea902b13a4d77a327ad78196e579f524a433adebce64

Observation f321493d-7f0c-42a7-b0d5-cf63ffd8edbf · outbound

This paper cites Qwen3 Technical Report.

APE: Agentic Prompt Enhancer for Image Generation and Editing Qwen3 Technical Report

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:02:46.716766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:63af2de4028f97589dd381524034d69eb72c16a9ef4186a01b067aba9f14f0dd

Observation 1d672f18-1eb1-4e97-8459-f8abcc15e974 · outbound

This paper cites Imgedit: A unified image editing dataset and benchmark.

APE: Agentic Prompt Enhancer for Image Generation and Editing Imgedit: A unified image editing dataset and benchmark

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-28T22:58:17.807988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:622040a3d8d943361addfac4a475f56bbed4716ac9d6bcd795d25275fe4b0000

Observation 068f5d23-654e-4bbe-b77d-ff1bc246c45d · outbound

This paper cites DiffusionNFT: Online diffusion reinforcement with forward process.

APE: Agentic Prompt Enhancer for Image Generation and Editing DiffusionNFT: Online diffusion reinforcement with forward process

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-28T22:58:17.807988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:23b935fe1f07548dd6eeaea8e80181cfef7d566cbd3d9f777500514414abdf2b

Observation f22f5602-1afb-46b2-a777-9dba9267dddb · outbound

This paper cites Large language models are human-level prompt engineers.

APE: Agentic Prompt Enhancer for Image Generation and Editing Large language models are human-level prompt engineers

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-28T22:58:17.807988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:5cbb165c4e66346a49b6b8a1fb72cd6e327d86ff934394246ff477ccb08d2ba5

Pith citing papers

Observation ba063118-0aa2-45fd-a584-c75445c3e781 · inbound

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget cites this paper.

Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget APE: Agentic Prompt Enhancer for Image Generation and Editing

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T06:13:56.352402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:13:56.352402Z digest=sha256:48b224e8117e9893168842d391ffb39774485ea7c66855bdd626a1dc77c82ae4