Paper Citation Record · LEDGER

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.02648.

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

pith.paper-citation-record.v1
2505.02648 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:49:40.533898Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

45 of 45 outbound references displayed

verified exact0
verified fuzzy14
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 536e04f2-4d07-4849-81c4-4445beb33081 · outbound

This paper cites GPT-4 Technical Report.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.156099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a1d20ff-6dbe-4616-a128-6e5522673e6b · outbound

This paper cites window”: “large, fills the room, offers a view of the peaceful outdoors.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation window”: “large, fills the room, offers a view of the peaceful outdoors

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.679853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 312f4eda-8400-4aa4-92e0-801e42f7d179 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.654238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41cbec74-e3cb-49ad-b1e2-4a0cfbf72cb3 · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.181104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5297fe55-ba3d-404c-868d-b4dcd4b96b06 · outbound

This paper cites LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.189040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ef18b1-f046-4e0b-b384-f7ba4614f147 · outbound

This paper cites Palm: Scaling language modeling with pathways.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Palm: Scaling language modeling with pathways

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.196948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fce98c3-d814-45ef-bd38-54b3e5ec8307 · outbound

This paper cites Diffusion models beat gans on image synthesis.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Diffusion models beat gans on image synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.203284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1c0bd0-25c4-4617-877a-4bff346be8af · outbound

This paper cites A woman in a pink shirt and jeans holds a white umbrella in the rain.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation A woman in a pink shirt and jeans holds a white umbrella in the rain

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.588895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3ecd4d9-9ff9-4581-aaf1-57909a8356af · outbound

This paper cites RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.218386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef5c32b-cf50-45d1-b220-a6111a2c4a68 · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.226216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6748258-551f-4f87-a8f0-59fc8d51ff61 · outbound

This paper cites Layoutgpt: Compositional visual plan- ning and generation with large language models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Layoutgpt: Compositional visual plan- ning and generation with large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.234783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d59b63e1-8eaa-4bb1-9602-da9882228fb6 · outbound

This paper cites LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.241163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94682f17-b4f8-48bd-a178-93b8163395ba · outbound

This paper cites Denoising dif- fusion probabilistic models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Denoising dif- fusion probabilistic models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.250265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6e5e12-6603-4d3e-b659-d2b72840d812 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.258273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee3d702-a412-4570-a509-135a876bd871 · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation T2i-compbench: A comprehensive bench- mark for open-world compositional text-to-image genera- tion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.524056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc7308be-f579-4325-a0fe-c5eb67449f22 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Aligning Text-to-Image Models using Human Feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.275309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 972a67c2-e7cd-48b4-a700-b98a4a35fad6 · outbound

This paper cites Parrot: Pareto-optimal multi-reward reinforce- ment learning framework for text-to-image generation.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Parrot: Pareto-optimal multi-reward reinforce- ment learning framework for text-to-image generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.497889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 600d663c-b53e-41ce-91fe-72f4fc8ece24 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.296688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d32d33e-c1aa-45cd-bc46-66fa06848293 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Gligen: Open-set grounded text-to-image generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.305777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1112b31f-e2a4-4a0a-815d-1dc42d069ae5 · outbound

This paper cites LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.316575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00e4295-3931-40eb-a8ec-36a5c8e342b7 · outbound

This paper cites Improved baselines with visual instruction tuning.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Improved baselines with visual instruction tuning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.422788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e65ed4c8-ee80-4bc8-bc02-196c4f23ff6a · outbound

This paper cites LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.329434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ca9635-eb25-4c0e-ba71-74e9d49dd97e · outbound

This paper cites Compositional visual generation with composable diffusion models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Compositional visual generation with composable diffusion models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.396730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22e247bb-7bcd-4c31-84e5-273852d87b81 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.346005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70060076-583c-4692-a10f-c66982826750 · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.354813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ec256e-6359-400a-9f67-6537797f4ead · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.362068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffed5f7-4e5b-4983-a154-80e706675b85 · outbound

This paper cites Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.350338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4dc398ec-97f0-4a39-b23d-9bf5e4c134f7 · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Learning transferable visual models from natural language supervi- sion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.381467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a30bf5-ae97-48b4-97e9-57743876e3bf · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.390117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2eb31fe-efcf-4c8b-a07c-9f831ebbba8a · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation High-resolution image synthesis with latent diffusion models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.301543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4b5a6001-dccd-4828-a4ff-9d475dffadc9 · outbound

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

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.417473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b239947-c635-4f4d-82c6-aad15d775abd · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.426876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5594ee-a889-4531-93f2-f698442c5d14 · outbound

This paper cites Dreamsync: Aligning text- to-image generation with image understanding feedback.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Dreamsync: Aligning text- to-image generation with image understanding feedback

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.244023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28e3a8ce-3b64-428c-a284-ed8f5c1c6493 · outbound

This paper cites Galactica: A Large Language Model for Science.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Galactica: A Large Language Model for Science

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.440341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa0b6b4-3413-4b8e-bcef-94c9d4a08885 · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.210063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe034dd2-80b6-4e10-be96-68f0743b4d54 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.457557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665dd3d9-d71d-4ad6-866c-36f6c1232703 · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Baichuan 2: Open Large-scale Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.468540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c462ad-0b0d-4ccf-baa4-9a043736144a · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Diffusion models: A comprehensive survey of methods and applications

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.477240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 078a6c36-fc47-49ba-b11b-3a5b546d0555 · outbound

This paper cites Mastering text-to-image dif- fusion: Recaptioning, planning, and generating with multi- modal llms.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Mastering text-to-image dif- fusion: Recaptioning, planning, and generating with multi- modal llms

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.150419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93f4bd02-342e-44e7-a7e8-19c0219156be · outbound

This paper cites Cross-modal con- textualized diffusion models for text-guided visual genera- tion and editing.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Cross-modal con- textualized diffusion models for text-guided visual genera- tion and editing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.120523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebcc0686-331d-4e5e-b081-8c386acf71f3 · outbound

This paper cites Reco: Region-controlled text-to-image genera- tion.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Reco: Region-controlled text-to-image genera- tion

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.499062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bdfded-832b-4164-9ca8-aceb6aff4c1e · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Adding conditional control to text-to-image diffusion models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.507176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7dbd99-3aaf-4743-97d9-5177824e8429 · outbound

This paper cites RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.513664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f2a4c29-0255-4fc8-b08e-5dff52218725 · outbound

This paper cites Sur-adapter: Enhancing text-to-image pre-trained diffusion models with large language models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation Sur-adapter: Enhancing text-to-image pre-trained diffusion models with large language models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:49:41.050394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c416b4cd-95eb-477a-a420-d26ac6984cc8 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T00:49:40.533898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.