Paper Citation Record · LEDGER

IDEA-Bench: How Far are Generative Models from Professional Designing?

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2412.11767.

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

pith.paper-citation-record.v1
2412.11767 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:39:28.486079Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:48:31.473458Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:32:52.353234Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy6
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45cfec0e-e079-471f-80d2-4131d4f6a49a · outbound

This paper cites an unresolved cited work.

IDEA-Bench: How Far are Generative Models from Professional Designing? Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.354338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71fc7e30-1aee-4d80-b4bb-cafa4dafdc71 · outbound

This paper cites Flux: Inference repository.https://github.com/black-forest-labs/flux , 2024a.

IDEA-Bench: How Far are Generative Models from Professional Designing? Flux: Inference repository.https://github.com/black-forest-labs/flux , 2024a

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:29.198354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a18def91-5c10-46d7-a601-7e3c1c736714 · outbound

This paper cites Human designers have the ability to autonomously extract information from images and transform it into outputs in a freeform manner.

IDEA-Bench: How Far are Generative Models from Professional Designing? Human designers have the ability to autonomously extract information from images and transform it into outputs in a freeform manner

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:29.167508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0cfb97e1-9a10-450b-a052-abd333c9d095 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

IDEA-Bench: How Far are Generative Models from Professional Designing? LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.376040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e276dcbc-b6c2-42ba-9c39-8817ac9e5cde · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

IDEA-Bench: How Far are Generative Models from Professional Designing? Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.380929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 348a8999-9777-46a0-a057-795c6d018311 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

IDEA-Bench: How Far are Generative Models from Professional Designing? Gemini: A Family of Highly Capable Multimodal Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.385929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f155e2a1-a8a8-41b7-9cf0-7ce3355b4522 · outbound

This paper cites Making LLaMA SEE and Draw with SEED Tokenizer.

IDEA-Bench: How Far are Generative Models from Professional Designing? Making LLaMA SEE and Draw with SEED Tokenizer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.390420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 512fb4b6-c44d-41e1-ad78-27fdeed9ff5c · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

IDEA-Bench: How Far are Generative Models from Professional Designing? Emu3: Next-Token Prediction is All You Need

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.395136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3631de8-a5c3-4717-9c16-2ef9b7519abd · outbound

This paper cites Group Diffusion Transformers are Unsupervised Multitask Learners.

IDEA-Bench: How Far are Generative Models from Professional Designing? Group Diffusion Transformers are Unsupervised Multitask Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.399527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 034ca656-6e70-408b-a0ee-78f210dc6c6c · outbound

This paper cites ImagenHub: Standardizing the evaluation of conditional image generation models.

IDEA-Bench: How Far are Generative Models from Professional Designing? ImagenHub: Standardizing the evaluation of conditional image generation models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.403935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a22b6f7-d150-430c-a479-7813c71dccbe · outbound

This paper cites SEED-Story: Multimodal Long Story Generation with Large Language Model.

IDEA-Bench: How Far are Generative Models from Professional Designing? SEED-Story: Multimodal Long Story Generation with Large Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.407921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f390ce22-6bed-422e-be3c-fa1d7294c920 · outbound

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

IDEA-Bench: How Far are Generative Models from Professional Designing? CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.412096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cd1d02d-3a72-4bf8-b7a4-374e21ec6272 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

IDEA-Bench: How Far are Generative Models from Professional Designing? Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.416344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02566666-8f71-46f8-b605-a1dc3202ede8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

IDEA-Bench: How Far are Generative Models from Professional Designing? LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.420289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecc0d0c-e509-45e6-9983-b0ccfab1696b · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

IDEA-Bench: How Far are Generative Models from Professional Designing? Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.424344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c601760d-0a0e-4bc9-b288-ef2d8cec4cc6 · outbound

This paper cites OmniGen: Unified Image Generation.

IDEA-Bench: How Far are Generative Models from Professional Designing? OmniGen: Unified Image Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.428804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96135a63-df44-4c9e-bc21-a195e5e41742 · outbound

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

IDEA-Bench: How Far are Generative Models from Professional Designing? Human Evaluation of Text-to-Image Models on a Multi-Task Benchmark

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.432970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c931c960-b455-40d9-b9c2-e8fc9ab62c67 · outbound

This paper cites DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design.

IDEA-Bench: How Far are Generative Models from Professional Designing? DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.437222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7d53d8-7a6c-42d1-91c4-4c58c204d380 · outbound

This paper cites Real-Time Video Generation with Pyramid Attention Broadcast.

IDEA-Bench: How Far are Generative Models from Professional Designing? Real-Time Video Generation with Pyramid Attention Broadcast

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.442561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 612ea0b4-796c-4eec-bc0f-1fcb04415b12 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

IDEA-Bench: How Far are Generative Models from Professional Designing? CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.447272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ff8df1-d364-4c03-8e6a-2ae5884c42e2 · outbound

This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.

IDEA-Bench: How Far are Generative Models from Professional Designing? MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.456688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b772c3-2d70-4581-ac46-36afba7bfb40 · outbound

This paper cites GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.

IDEA-Bench: How Far are Generative Models from Professional Designing? GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.460590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802152aa-3469-4d2b-b30f-be07bd3ec74b · outbound

This paper cites Section 6.1 provides example instructions for utilizing GPT-4o [OpenAI, 2024] in the construction of IDEA-Bench , while section 6.2 outlines the experimental configurations.

IDEA-Bench: How Far are Generative Models from Professional Designing? Section 6.1 provides example instructions for utilizing GPT-4o [OpenAI, 2024] in the construction of IDEA-Bench , while section 6.2 outlines the experimental configurations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:29.183555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02537641-a3ca-4bb9-a30d-e67affb5557e · outbound

This paper cites This ensures that the evaluation questions defined by GPT-4o maintain a professional standard.

IDEA-Bench: How Far are Generative Models from Professional Designing? This ensures that the evaluation questions defined by GPT-4o maintain a professional standard

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:29.152598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e1aa3d7-fb32-4728-98a7-c3c6dbf0b319 · outbound

This paper cites In this section, we further conduct statistical analyses on the composition of the prompts and evaluation criteria of IDEA-Bench.

IDEA-Bench: How Far are Generative Models from Professional Designing? In this section, we further conduct statistical analyses on the composition of the prompts and evaluation criteria of IDEA-Bench

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:29.137250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce830760-13cc-4898-ad0e-3eaa590834fd · outbound

This paper cites I’m sorry, I can’t assist with that.

IDEA-Bench: How Far are Generative Models from Professional Designing? I’m sorry, I can’t assist with that

Reference 32

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T14:39:29.121413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32c8a447-7b22-4fac-8c90-863e09dfca09 · outbound

This paper cites PISTON CUP.

IDEA-Bench: How Far are Generative Models from Professional Designing? PISTON CUP

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:39:29.105773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3fd6055-9210-4acd-908a-c60815f20009 · outbound

This paper cites Language Models are Few-Shot Learners.

IDEA-Bench: How Far are Generative Models from Professional Designing? Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.367061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26757b3e-4a49-482f-ac4b-849b139c4b5c · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

IDEA-Bench: How Far are Generative Models from Professional Designing? Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.344607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1e41ed-fc36-4c7b-92a9-0d32a20617cf · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

IDEA-Bench: How Far are Generative Models from Professional Designing? OPT: Open Pre-trained Transformer Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.371338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28cbaefd-b447-44ce-8996-fb8baf1588ac · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

IDEA-Bench: How Far are Generative Models from Professional Designing? SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.350056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e169889-d137-4817-8b57-65cfe06ab6cf · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

IDEA-Bench: How Far are Generative Models from Professional Designing? PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.358464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0435c28-63d2-4a1b-8c87-055732389900 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

IDEA-Bench: How Far are Generative Models from Professional Designing? SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-11T14:39:28.452361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a4587575-9a8b-40b7-8d54-b84b02fe8bb1 · inbound

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing cites this paper.

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing IDEA-Bench: How Far are Generative Models from Professional Designing?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:31.473458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b2090de-8c86-4824-95d8-e146492d4d56 · inbound

MultiRef: Controllable Image Generation with Multiple Visual References cites this paper.

MultiRef: Controllable Image Generation with Multiple Visual References IDEA-Bench: How Far are Generative Models from Professional Designing?

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:32:52.358535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.