Paper Citation Record · LEDGER

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging

As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2504.12364.

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

pith.paper-citation-record.v1
2504.12364 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.914658Z

measured 64 of 64 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:59:53.598965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:49:08.260119Z

Reference resolution

62 of 62 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb369715-36ec-4a76-bba3-43f6994679fa · outbound

This paper cites GPT-4 Technical Report.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging GPT-4 Technical Report

Reference 1

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Observation bdd8b58a-064e-4e6a-9906-d0b5152338fd · outbound

This paper cites Git Re-Basin: Merging Models modulo Permutation Symmetries.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Git Re-Basin: Merging Models modulo Permutation Symmetries

Reference 2

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Observation 1c3c74e6-d98d-49a6-ba14-1cf3cc8b0a64 · outbound

This paper cites Stable Diffusion Web UI, 2022.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Stable Diffusion Web UI, 2022

Reference 3

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Observation 5ee33740-a03a-4426-9324-5f3e40785cbb · outbound

This paper cites Qwen Technical Report.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Qwen Technical Report

Reference 4

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Observation 6ec3d96f-d492-4e95-981f-bdc438fb8a84 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

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Observation e962d171-8ff9-44a0-92f6-03181d94f371 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 6

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Observation 886cc4b1-9f81-43f7-8078-7529fcc9c522 · outbound

This paper cites Diffusion Soup: Model Merging for Text-to-Image Diffusion Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Diffusion Soup: Model Merging for Text-to-Image Diffusion Models

Reference 7

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Observation 25ad34d2-fe47-4388-a09a-4e1491b64beb · outbound

This paper cites https : / / civitai.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging https : / / civitai

Reference 8

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Observation 617e505e-dbcd-4f1d-8e75-a68a503831a9 · outbound

This paper cites A new metric for probability distributions.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging A new metric for probability distributions

Reference 10

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Observation 73c37a80-61b1-4ca3-965e-a7a911e7671f · outbound

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

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 11

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Observation dc308824-be51-42c6-b2f3-8c9af81db746 · outbound

This paper cites Linear mode connectivity and the lot- tery ticket hypothesis.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Linear mode connectivity and the lot- tery ticket hypothesis

Reference 12

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Observation b1fdbee0-037f-4c57-948c-8d4119dec463 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 13

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Observation e3861a27-c82e-4822-9b08-aa27b8f58569 · outbound

This paper cites Class-incremental instance segmentation via multi-teacher networks.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Class-incremental instance segmentation via multi-teacher networks

Reference 14

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Observation 8412251f-e7c5-416a-aa7c-36ea3d1aa668 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 15

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Observation 66d7bebe-74f9-423f-bdb2-3d97bba0e0c3 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Distilling the Knowledge in a Neural Network

Reference 16

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Observation 4433038c-5556-47b9-a49c-b737595701b8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Classifier-Free Diffusion Guidance

Reference 17

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Observation 331b463b-bf30-4767-a869-62efc20dbf88 · outbound

This paper cites Denoising dif- fusion probabilistic models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Denoising dif- fusion probabilistic models

Reference 18

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Observation 696486dc-cc70-4bea-aab0-05e8f2bbe5f7 · outbound

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

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging LoRA: Low-Rank Adaptation of Large Language Models

Reference 19

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Observation 1d56246f-11de-4f80-bb08-9b9011111d24 · outbound

This paper cites Estimation of non- normalized statistical models by score matching.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Estimation of non- normalized statistical models by score matching

Reference 20

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Observation 8b4af3f5-f29c-4b4c-9e4c-0ff27ad86019 · outbound

This paper cites Editing Models with Task Arithmetic.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Editing Models with Task Arithmetic

Reference 21

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Observation 044e0f9a-443f-4d83-8ac3-c37953b3195f · outbound

This paper cites MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution

Reference 22

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Observation db90c194-9552-4316-b6da-e78e1a300619 · outbound

This paper cites Mixture of Diffusers for scene composition and high resolution image generation.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Mixture of Diffusers for scene composition and high resolution image generation

Reference 23

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Observation 5197bfe5-ba9a-4c1e-8dc2-f528a2d18a70 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Elucidating the design space of diffusion-based generative models

Reference 24

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Observation 2a4aaec4-a7cc-44ff-a968-4b3a7f9fd280 · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 25

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Observation 71bc1517-97d2-4d22-b665-896dfa3fcf0b · outbound

This paper cites https://laion.ai/blog/ laion-aesthetics/.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging https://laion.ai/blog/ laion-aesthetics/

Reference 26

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Observation 29963dd0-36d6-458a-8d56-83a5c3e5a9fc · outbound

This paper cites SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

Reference 27

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Observation 70b277cc-a733-4c4b-8100-5f25ed20abab · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 29

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Microsoft coco: Common objects in context

Reference 30

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Observation ef72244b-927a-45db-82bf-e8f6856126ff · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 31

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 32

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion

Reference 33

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 34

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Multi-task distillation: Towards mitigating the negative transfer in multi-task learn- ing

Reference 36

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Observation 8287595d-c36f-4fc0-a1a6-a10424535586 · outbound

This paper cites MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models

Reference 37

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

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Improved denoising diffusion probabilistic models

Reference 39

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 40

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Learning transferable visual models from natural language supervi- sion

Reference 41

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 42

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging High-resolution image synthesis with latent diffusion models

Reference 43

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Unresolved cited work

Reference 44

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This paper cites Generative modeling by esti- mating gradients of the data distribution.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Generative modeling by esti- mating gradients of the data distribution

Reference 45

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Sliced score matching: A scalable approach to density and score estimation

Reference 46

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Observation 6ab22497-0691-4a16-917c-591e7ab9465c · outbound

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Score-Based Generative Modeling through Stochastic Differential Equations

Reference 47

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Journeydb: A benchmark for generative im- age understanding

Reference 48

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Observation 08d04c35-45e2-4dda-a9e0-0ae002bf67d8 · outbound

This paper cites Fusionbench: A comprehensive benchmark of deep model fusion.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Fusionbench: A comprehensive benchmark of deep model fusion

Reference 49

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging A connection between score matching and denoising autoencoders

Reference 50

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Diffusers: State-of-the-art diffu- sion models

Reference 51

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DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Knowledge Fusion of Large Language Models

Reference 52

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This paper cites Ensembling Diffusion Models via Adaptive Feature Aggregation.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Ensembling Diffusion Models via Adaptive Feature Aggregation

Reference 53

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This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 54

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This paper cites https://github.com/hako- mikan/sd-webui-supermerger.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging https://github.com/hako- mikan/sd-webui-supermerger

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.447747Z

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Observation fca746ae-dd29-4ce3-9759-885f3a1bccbf · outbound

This paper cites A young child using an electric sander on a long piece of wood.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging A young child using an electric sander on a long piece of wood

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.436771Z

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Observation 5c054a8a-07ce-4c2e-9aad-16de1c27ca4b · outbound

This paper cites Accelerating Image Generation with Sub-path Linear Approximation Model.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Accelerating Image Generation with Sub-path Linear Approximation Model

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.877272Z

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Observation d6f7f39c-873f-4274-b11e-12dccfc6f5bb · outbound

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

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Imagere- ward: Learning and evaluating human preferences for text- to-image generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:26.425014Z

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

Observation 3f0e60fa-44d7-4e63-a508-e0d1f55b675d · outbound

This paper cites TIES-Merging: Resolving Interference When Merging Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.886549Z

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Observation 103aa4d0-77c1-4caa-af00-20ad9bf84606 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.891393Z

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Observation a53e09b6-89c6-4600-867e-5e54c53f6ba4 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.896229Z

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Observation a2cbb2d5-fbd4-4cdb-9765-533ed18784dd · outbound

This paper cites A Survey on Multimodal Large Language Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging A Survey on Multimodal Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.900736Z

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Observation 04c0adbd-64ac-4bf1-9af7-49ffd7cfa303 · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.905474Z

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Observation 22a01922-613e-4f06-89c2-66168a1f38c6 · outbound

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

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging Adding conditional control to text-to-image diffusion models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.909657Z

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Observation 097d7d7a-7480-4845-8ded-d04c04fe89f5 · outbound

This paper cites A Survey of Large Language Models.

DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging A Survey of Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.914658Z

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Pith citing papers

Observation 9cc4a7ac-446b-46fb-9e61-40aeb9d7baab · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:59:53.598965Z

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Observation e9ecdf8f-bfb5-43d4-8ee1-9bce08e47625 · inbound

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation cites this paper.

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:49:08.262821Z

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