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Paper Citation Record · LEDGER

APE: Agentic Prompt Enhancer for Image Generation and Editing

As of 5 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 2026-08-05T06:32:48.257954+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:ac9c2c3cc53b09fa3c4e3d967852f77569e65ff1617489a73673e5e4a64c0495

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

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:cfc07f6ef950f5c941c8325f99a4f88d44a25b3d5c1b713e1c14870cbbf23b75

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:b1dd5818dc598a6490c31a11ebdbaf681bed1d8754a6d16da13a3de685db8a54

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:dcd21dd6e59b3eb8f7bd52f50ea69d818b1d70bea37453d7c1dc710fec634fad

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=sha256:225e8016304ef48f7e6664cf8c8614a0699207931b263a935a410dc4323ed600

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:a3d2056488e754e694c993b99b95701730c27d0c3232f9d18b7965e44f23803a

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=sha256:5c2763145caeb439c128c3bd51e5dc024d2deec2fc324ff6ed6e0da06e5adb94

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:b41f74dc684c7952f4f934b9dd9874ff45a8c0b2a5da13c368a7fbbc0a77d288

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:8d7983276ceee60ecd9b9aef14286b2deb6bfedde1913b63d95d9131a1ad026e

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=sha256:28940a77a9fdf7f8c82f2585d46597ab7da55a090d81b25d6a37d372b0960fb5

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=sha256:6d2e49a6e8d0797b5b873b5621cf7ed9003622a73c22e313442c6897ee3e0c27

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=sha256:6d47d3ddf4b4a600c28a34e8e92d237a4dfe971c4930bfd35694d12a8a713d42

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=sha256:0ea60eafee6ffeba023fa5245b5428b9e6cf0d3c527b37b5cb8d3e09a63d77e6

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:9ff74d4ec0fd252f4383217e0d30330ff404b28b078aa42193cf90b6ee75236e

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=sha256:743441c9ae22380e3ac9d2ae5d68337cf04ebc91583d49b3bc13d052fe3fc0df

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=sha256:53d30fa962e47b4340be8833806cf3dadfdf0c8646e8e3831f2c6efb5bd4efd5

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:acf4df6d1f2a5da73da775e83d72ced7cd78bc46ec556d4badfc24762e3a4c17

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:2ef09cb14db6b088bb17f9fefd843e637c2d296339dfb397785eb22dccdf99aa

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=sha256:40190f82811262c8d3b09c719308e25f28e1d679cd8b523c323906f851d0911d

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:bcc0380f7d95ba022f02017c4cc948201b544f2b2666189ecb7f161f1966d18d

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=sha256:12da3f22387c598a58fc32ab2ee3d202a290c9bf51758c962cf72e85165d7b46

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:e2a5292d575b11fd028b5bf1119f22a5b6556bed2d9c18b826a81567dcb47b02

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=sha256:2f1023183fd416e6730e15929779dec0b4ad39574c71c50b966e3ec2e0f12679

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:988922ae917cae4fe065ff62bbe6b0eb4e4dd33f57e161204718735b475c6e01

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:cd5a041335ba2e863aa7efb5b4308c9ae72f6c723fed9fbc658c931462ba1bbd

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=sha256:4558ae31fb48435d0d1abf0aa30752448e464af553294d27072140d245385bd3

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:c45310fd11681cd1dbb26cd49e439aa3048dc6140b054dd854b2d1791479c074

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:ebc0f76e9a3de7d45c0ce607e7bf461797a76672c0e1d82f1ea27f89034a4b89

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=sha256:94c8472328cc664a310bd030fc3f5bec25cc6f2056d5ee3ad4f5b37516b4a672

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=sha256:28b633ca2b4265b1b5afa00b946e40738450b61c7c666fc2484be365fdb42a29

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:a9c82a01f6e69feb43573bd45258a9a540164728926868ce591f1b9affab5e02

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:be86afd16468fbe29d02339730147df6af29eacb3b1d82b6b6f04767bd6a6022

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=sha256:5b4cc095357067ff9029bc01ab6f05b1c9089670a355ffd5a44b44648f2614b0

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=sha256:2132b8b6a927ba342b529ddceb9e57fc04231cbe0a7fd7fbc441ec2d0ddc8ec9

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

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source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:918c46348d1b78ce741f1c4757d6596bd0bb388d123913997ea10534ea790bda

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:49ff7a81bfef2a0883bbf027d2bb848c9eafe21358bcba60479d4d5bbc3fa049

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:3a6f21b00cfce63af1ae3a9b756c0bd624aedc2eaf9a554777d76ba5ab36355a

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:49674ba3085d032b225ad77e8ddeab7ae8af695f4f477b210540c1976409604d

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:f944aba3fb64edb5313b46cca21ec640ff88dca53f4fd01b55c052420cb6746f

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:cab5d6d0f8600aace40dbd54df3cfd8e376cee89e3915cce983c653627cd51d7

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:3945491ad72540d3e4351f2d07fc5b7093808747b86d720195842f931c905f14

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:96e932e3250424ff0e4d756bf2dac2c31545b36691679b28360df3936d53ceca

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:a8868dce6ca9e911b85c331180382ed4dede6db483651c6147985324778c6a13

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:ffd04cdbeb31d717203e77c095e99834b34edc7e0e04f925c63db7e140aae83b

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:db22f44ec9a892a371d1777440746f89de7456a0fd13d4fd2be777b28c358252

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:4107192991fefc95276f58158bda99609e783a2f4365d96be9ab5f85a73f98c4

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:b08d7d2887abbf7727c17004d35ffb93ab158358d608e37db6176333c3ef06a3

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T22:58:17.807988Z digest=sha256:b7549bfac1694a5413bad0b529d5a7c846d8e7320b429b17781d822c8a886acd

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=sha256:4dfd88dd68d0e2d588e8fb0494fd532b1d65d3dfae772edeb1149255ad8725cb

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:b6d680b95d472a5446b6eb929625439d6a5c06896ab8da949c47b5875931ed35

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=sha256:270fa8f7348e1e1591c9f3217b652ce11f48a78988403650d30edfd03e804a49

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:dc9a7e2fe5f296a04df57596e58320e703fc05eb0a2b17171df86f3b60017215