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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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
  • verified fuzzy15
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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source=pdf_text observed=2026-08-16T12:40:25.634642Z digest=sha256:0088643409aa556f5b1cb4a98c6f0b4ced7879333e25a63d1dc684d6796f82ea

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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source=pdf_text observed=2026-08-16T12:40:25.640704Z digest=sha256:cb64e63e063666901c39d89ca65b5bd00f167e1483093675a57c85cf5bb09208

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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source=pdf_text observed=2026-08-16T12:40:25.646980Z digest=sha256:3c4afa1bb6060d0a606a63f975acfd02f45e0b9c6e27d6005faf815251f671bd

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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source=pdf_text observed=2026-08-16T12:40:25.652930Z digest=sha256:264e88786e92442f8439c5e99f5e82e6fce625bdf71ab455888c8dc90ccb1fd9

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.659262Z digest=sha256:e292a829db4bdec8859ba473c2f3f051337d6a9640c14810923c0cda5f4dedad

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.668473Z digest=sha256:dc547e4fd69a49616c4aaff445ce2a43841f0699c64da1d637b6ba702cc36f77

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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source=pdf_text observed=2026-08-16T12:40:25.673790Z digest=sha256:f6c7746b5b8c67ffebd4dcc5dfd4d93462063e16e3a25106047082578964e485

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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source=pdf_text observed=2026-08-16T12:40:25.678637Z digest=sha256:8a632217687eb56a0c911194e12c620858cbc5116ecbc0844618307a2617abb7

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.683306Z digest=sha256:ed2e15972032622e09bd1214b0a5f908c1c133233381b588af75b8c720a43db5

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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source=pdf_text observed=2026-08-16T12:40:25.687823Z digest=sha256:87aa3a2fadb60524188e77be6c676136050db4756d447e28abac9d56fb414007

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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source=pdf_text observed=2026-08-16T12:40:25.692598Z digest=sha256:50f204906943c8ede481a775b2dc9eb676ea987754f80e5161c2697626d321a0

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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source=pdf_text observed=2026-08-16T12:40:25.697010Z digest=sha256:084ec52c8c08ef4e32d52d5e455edbbc6df295fddd09cee1b237127c6ed6e1cd

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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source=pdf_text observed=2026-08-16T12:40:25.702003Z digest=sha256:eb15b6d04d2a0108c48f8a64ad62a5068e9106c350bf4bc26b420310784e0ae5

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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source=pdf_text observed=2026-08-16T12:40:25.706830Z digest=sha256:8fb3368131b35397f27daf0533a8eb0fafec1a227b7aa5b927a78d15d85fb0b9

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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source=pdf_text observed=2026-08-16T12:40:25.710936Z digest=sha256:5c3eb7173f1e0e0e08bedc70be747b6337f72cf9dac2549b9b7f63d8418d3ced

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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source=pdf_text observed=2026-08-16T12:40:25.715729Z digest=sha256:bfd9bcf31436df7212ef7555a002d26d0a3bf3dabf5b8bc2b99a68e890b67574

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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source=pdf_text observed=2026-08-16T12:40:25.720167Z digest=sha256:89679a5810efbcd16085fbadf82904bc703111016e020651cb5473ad0b049ca5

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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source=pdf_text observed=2026-08-16T12:40:25.724882Z digest=sha256:cec6c654283ce9272f4c17ecb090a5ba561043f324ee991fe0de14ba6aaa0f4e

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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source=pdf_text observed=2026-08-16T12:40:25.729403Z digest=sha256:6a1362cd447fc38b96f6b037672174a46091ff6e8db840838861f0ff1b145383

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.733958Z digest=sha256:b8bdec81a2334c30b028dd9fa08037cd4052a73094f6686d129c983605698db8

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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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.738886Z digest=sha256:d3bbc5db56722e47c5d6e04e3a0c40d3fa405291ba34d444c32d7e02dffced21

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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local_arxiv, observed 2026-08-16T12:40:26.178691Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.743430Z digest=sha256:c0e4debff60511e98dd3d4b5cca38c7a9b244183b6fd20c86a99e03a65f079f3

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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source=pdf_text observed=2026-08-16T12:40:25.747736Z digest=sha256:59d19f2c5176df518b328df7ec6d3fd2638c6a062b3c978ebfab5e4f989160d5

Observation b65d3b90-3e3e-49a4-8b0b-dae7adf7e8be · outbound

This paper cites Microsoft coco: Common objects in context.

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

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.752607Z digest=sha256:d61b09edce6f06b7cddbe9e4dc9344a1d301e2326e65d1867b4f19594652c5d5

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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source=pdf_text observed=2026-08-16T12:40:25.756844Z digest=sha256:70c77d2bf17c20b587fee2a88b3f2dddc29c09d5c214aab75196eed1eb2f9fca

Observation 083b9a5b-53f3-453e-a190-f26c933efbbf · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

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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source=pdf_text observed=2026-08-16T12:40:25.761448Z digest=sha256:16a4cedc07150d19d61762a2d85291e10b47447e0f22388291d613621af2fd1b

Observation 6aa79fcc-d75d-4f19-a6a1-04c9bab638d3 · outbound

This paper cites PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion.

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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source=pdf_text observed=2026-08-16T12:40:25.765832Z digest=sha256:b01aaf2264cc6fd51d2f8697d6f1c0584a1eb70764fe2125b983c9ceeb8bfae8

Observation b95334ac-5720-446c-83d5-7c3ef15a3524 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

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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source=pdf_text observed=2026-08-16T12:40:25.770151Z digest=sha256:b0146a6992f844f46f1f72d56db0f0f521d541b0797afa691ab56d51e238a518

Observation 4a55dfca-c1dc-4d68-9417-40b11bed3900 · outbound

This paper cites Multi-task distillation: Towards mitigating the negative transfer in multi-task learn- ing.

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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raw_fallback, observed 2026-08-16T12:40:26.531213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.774846Z digest=sha256:6c41aa9fd76f42549c856e329edfb818fb672288eb57056e81494cd445731184

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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source=pdf_text observed=2026-08-16T12:40:25.779911Z digest=sha256:7a4ad6a03b242471d399cd59e81b6ad371e8d4c18441f3a5f4586e5db8c130da

Observation 6b8ab149-ee8e-43d3-977e-33ba8716ae85 · outbound

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

Reference 38

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source=pdf_text observed=2026-08-16T12:40:25.785893Z digest=sha256:617afbb46868a06e7d244799989ad055172eca17e3be39152be8b74c238bed4f

Observation d26a7797-739b-4c2d-b211-0224ea0a187a · outbound

This paper cites Improved denoising diffusion probabilistic models.

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

Reference 39

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Unavailable: canonical work link unavailable.

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Observation 447a5b5e-2a68-4a7d-8846-f6c4cc43dd80 · outbound

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

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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source=pdf_text observed=2026-08-16T12:40:25.795097Z digest=sha256:7584155a7c2b5a881c19ec1d3f1cfc0df3049dfe161f735a77f1917a65f935a5

Observation 64f98a39-741f-4f13-9a3c-a0a1d2e080b2 · outbound

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

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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source=pdf_text observed=2026-08-16T12:40:25.799717Z digest=sha256:c1100ab79438a164463965d91fc4c534014994b6562b7ab60315b6985734f7c9

Observation 726656f2-8860-4750-b36c-892a876cac13 · outbound

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

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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no resolver link, observed 2026-08-16T12:40:25.803754Z

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source=pdf_text observed=2026-08-16T12:40:25.803754Z digest=sha256:8cd9af774e53a7aeea907c7c8905bac27160dac0ff421ccb93ecef1d10c88882

Observation 8e2e57a8-fbc9-415d-9038-7134dce273a1 · outbound

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

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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no resolver link, observed 2026-08-16T12:40:25.808563Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.808563Z digest=sha256:29d2d70aded8d5043f0b736665ae97297967dea4cc448afa44a219ca652dca60

Observation 34605ef0-a845-42d4-b7a3-718d03d88a90 · outbound

This paper cites an unresolved cited work.

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

Reference 44

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raw_fallback, observed 2026-08-16T12:40:26.502079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.813288Z digest=sha256:1c49de73b8df69a0736df72c7a980ce457ffda72ab767dd9a027e3cfa8e2f0cf

Observation cf58c729-9035-4201-a856-359f25946514 · outbound

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.817914Z digest=sha256:2f23db4c2343ab5724dd39c648d0ccc6c498f54eb57bd4b64355ff4474deb4fd

Observation 966a79b0-808a-4f29-9de8-a39ce4bf4ca4 · outbound

This paper cites Sliced score matching: A scalable approach to density and score estimation.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:26.477815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.822533Z digest=sha256:adb7e7a613996a56db047344f600f54d3a58bbb541e009d6ba95a1c7d73c0c18

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

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

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.826855Z digest=sha256:4f16ce61e817f132bcf2bc633b15a0486741abe369da43a1f45475403c90476a

Observation 0c1f2538-5a2f-46a2-bec9-af9156459ae2 · outbound

This paper cites Journeydb: A benchmark for generative im- age understanding.

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

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:40:26.468276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.831395Z digest=sha256:64319593fa9e66507af0ea7f552f3b26c41ff7b471281b70e47128dd0de6e39c

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.835930Z digest=sha256:0ac76c2f5f94924702cf3de7fc2029f95fec9c29f6d0bfdcbd0fd416f3d30b79

Observation 6dcec9c6-8bba-4dc3-ba0a-f8e18c409e8d · outbound

This paper cites A connection between score matching and denoising autoencoders.

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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no resolver link, observed 2026-08-16T12:40:25.840599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.840599Z digest=sha256:03a9a7ad0993353d3d3a550ef325f3cd2e6246e8225205bb207ad8bea90baa5d

Observation c218a5f7-af47-4289-a254-fdd4cfab487c · outbound

This paper cites Diffusers: State-of-the-art diffu- sion models.

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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no resolver link, observed 2026-08-16T12:40:25.845476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.845476Z digest=sha256:b53e2a6bc6594c5a074e135ee282c3609466a32926450b4ede9410e4d318a208

Observation 5f70bfae-323a-433c-aeb9-201804c29f89 · outbound

This paper cites Knowledge Fusion of Large Language Models.

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

Reference 52

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no resolver link, observed 2026-08-16T12:40:25.849917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.849917Z digest=sha256:ef48acd914ee071af355b75e9aa53c63b6e1aae4e778ecbbb25e17b7ad0582ad

Observation 2c3d2053-fa89-4ee0-b7d4-997465dd7af4 · outbound

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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no resolver link, observed 2026-08-16T12:40:25.855310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.855310Z digest=sha256:0b2b94060ef1080e1c9a1ebcb5b0d27cbadf89dcba25c629a60ee24b925cbb4a

Observation 09e2f523-d5f9-40c8-af06-088d0f8efc97 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:25.860816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.860816Z digest=sha256:b72c7c7c1685b4019ecc5d0de17cbd6d35cd5ef0ca6f6ff2dc24017a071cf28c

Observation ee171d89-fc31-4412-abf3-7c0a1c936c32 · outbound

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.866409Z digest=sha256:2aac08f1d946a973807599f86e829993c30248edd93d92aa50d2bb31f0804a2f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.872585Z digest=sha256:7d2da7871486f4016d9af6fafc52b3376c340da4d0311f17f494c6c268736674

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.877272Z digest=sha256:b8200d9c3f21afb42ac05a69d563780b8b6565c85de999d7baea16d80e8d1810

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T12:40:25.881873Z digest=sha256:984e15fb0bcd9868af9de7c39e4d9584c567542fae761bab5455b8b78b9e8850

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.886549Z digest=sha256:7c3d87992eb69b8406882721193cb3dd957d338b77772f1592a268d15c41e452

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.891393Z digest=sha256:1462bdb8ad1ba6e7d33fb7e16487345f75a7b466c877077dfd6839ab9b6de115

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.896229Z digest=sha256:6828683549fe8e0289f02c0c65ad8dcb012799307dbe1544d1af5a01c6e7cb59

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.900736Z digest=sha256:637f09594cbfcd6e964cf5e2c56dd58fb31758f638d3cb1ba8b0293f8918d61a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.905474Z digest=sha256:a4ee7a6ac8d7d72e1eacf99604029d724958a9364122624fe308df2c59455fcf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.909657Z digest=sha256:a2a070454154d7f500247a332103b7e51fe6126e81db2644063e0128c74eb7ec

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:25.914658Z digest=sha256:bf9b56aa8c44489551d857ca4e3d6fa3a077b2b5edbc9ad911f43c5aacc8aeb1

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.598965Z digest=sha256:57fa1c6396ce9937d6e61079b5a477174a81e1b03f9b45d3dd6ad7eb4527236f

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T05:47:24.669763Z digest=sha256:2fb634f78f3cc1bae1a8b142637fdee65a62092105e558cb48d6f81e284dca25