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Paper Citation Record · LEDGER

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize

As of 11 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2501.13349.

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

pith.paper-citation-record.v1
2501.13349 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:18:12.320037Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fa396b9-80a6-4a4a-be5a-11154329de4d · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize All are worth words: A vit backbone for diffusion models

Reference 1

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Observation 66ea07dc-99e4-4c29-bd5a-3bba831946cf · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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Observation e75ca290-275a-4ac6-863e-34bdc27a11cc · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Align your latents: High-resolution video synthesis with latent diffusion models

Reference 3

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Observation 3afa850d-a72b-4b5d-aea8-3c87b35d2ebe · outbound

This paper cites an unresolved cited work.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Unresolved cited work

Reference 4

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Observation ba2e50ad-cfeb-4577-afc5-affd7740269a · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 5

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Observation da31fbe0-a8cd-4e01-91b5-9b305fbc37d9 · outbound

This paper cites PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models

Reference 6

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Observation f86bcd86-598f-4037-9c39-7f69073a2e41 · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 7

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source=pdf_text observed=2026-08-10T16:18:12.144488Z digest=sha256:aa30ff6f8c49376b11f84d5022bd7f9d2f89d077a68a0f4700aa8b498b0d3c72

Observation d602bc70-0ae4-43bd-b051-648d8e2d6a36 · outbound

This paper cites WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

Reference 8

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Observation ad7c3ab5-00a4-4fb4-bee9-a2d9bf577d22 · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Reference 9

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Observation b312b944-3253-4893-9f66-29fbd46274f7 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 10

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Observation c1345b48-5175-406e-96f2-e948543e1537 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Imagenet: A large- scale hierarchical image database

Reference 11

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Observation 60756fe4-78c3-4555-a839-feaedb1873a4 · outbound

This paper cites Diffusion models beat gans on image synthesis.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Diffusion models beat gans on image synthesis

Reference 12

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Observation 14ec4ede-1869-4c73-8e6e-3b30b507f03f · outbound

This paper cites Taming transformers for high-resolution image synthesis.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Taming transformers for high-resolution image synthesis

Reference 13

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Observation 06383022-d4af-4ea1-9b49-20816330025e · outbound

This paper cites Masked diffusion transformer is a strong image synthesizer.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Masked diffusion transformer is a strong image synthesizer

Reference 14

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Observation ff4920b8-0055-4e2b-9c01-7f356ccc9c1b · outbound

This paper cites Generative adversarial nets.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Generative adversarial nets

Reference 15

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Observation 795ca3eb-313d-462d-a6b3-188f88dd592f · outbound

This paper cites TeaForN: Teacher-forcing with n-grams.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize TeaForN: Teacher-forcing with n-grams

Reference 16

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Observation b3556108-a5dc-4f99-be73-6442ffd98695 · outbound

This paper cites Deep residual learning for image recognition.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Deep residual learning for image recognition

Reference 17

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Observation 17098205-1e35-4804-a518-aeee3f75e5c7 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Imagen Video: High Definition Video Generation with Diffusion Models

Reference 18

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Observation 848860eb-2369-48b6-9591-1b48e93c007b · outbound

This paper cites Denoising diffusion probabilistic models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Denoising diffusion probabilistic models

Reference 19

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Observation 9920df46-fc15-446e-abdf-73f1ad50c17c · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Cascaded diffusion models for high fidelity image generation

Reference 20

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Observation 03477b64-a0bd-4f4b-aba5-38884c9335bd · outbound

This paper cites Classifier-Free Diffusion Guidance.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Classifier-Free Diffusion Guidance

Reference 21

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source=pdf_text observed=2026-08-10T16:18:12.193031Z digest=sha256:41c44a6a02c5a9b0b32e094bfc3decf52a7aa53a7a73e5a051e06a9d1804dd81

Observation 34c6618a-9386-4e45-9ba5-95b04189cb25 · outbound

This paper cites Scaling up gans for text-to-image synthesis.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Scaling up gans for text-to-image synthesis

Reference 22

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Observation afc1217a-103e-482e-b2e6-520d80e1e6aa · outbound

This paper cites Guided-tts: A diffusion model for text-to- speech via classifier guidance.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Guided-tts: A diffusion model for text-to- speech via classifier guidance

Reference 23

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Observation 5fe72913-69a9-4ed1-8086-22efb9c065e9 · outbound

This paper cites Distilling ode solvers of diffusion models into smaller steps.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Distilling ode solvers of diffusion models into smaller steps

Reference 24

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source=pdf_text observed=2026-08-10T16:18:12.203895Z digest=sha256:3406624dcdfe013d58ed9ea08b5b9e7a91f4a69db6b6a4e339f80d1d2fa9f305

Observation 95653b0b-1556-409b-b70a-88bdde5909ad · outbound

This paper cites Understanding diffusion objectives as the elbo with simple data augmentation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Understanding diffusion objectives as the elbo with simple data augmentation

Reference 25

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Observation b70a37a0-d2a2-4275-85cb-784e71c824ea · outbound

This paper cites Auto-Encoding Variational Bayes.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Auto-Encoding Variational Bayes

Reference 26

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source=pdf_text observed=2026-08-10T16:18:12.210558Z digest=sha256:5c1be5e50048daf77e20efcf6c972702262354e8590104107e265d6f4b7cf5e6

Observation c84a2c4c-651e-4026-afc3-dd59c4fdabd5 · outbound

This paper cites Diffwave: A versatile diffusion model for audio synthesis.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Diffwave: A versatile diffusion model for audio synthesis

Reference 27

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Observation fc86caee-f6a1-4eea-ae8f-311b200e4ef0 · outbound

This paper cites Sdxl-lightning: Progressive adversarial diffusion distillation, 2024.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Sdxl-lightning: Progressive adversarial diffusion distillation, 2024

Reference 28

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Observation 39954511-0346-4579-987d-00fb6dd8ff98 · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 29

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Observation 56dc96ee-3635-4e3d-9f63-c395b60c1cfe · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 30

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Observation 0f05c97b-ed3a-49d2-b510-541428255ad6 · outbound

This paper cites Pyramid Diffusion for Fine 3D Large Scene Generation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Pyramid Diffusion for Fine 3D Large Scene Generation

Reference 31

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Observation 9e952232-a8b7-477e-8376-a4e7c886bcd9 · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 32

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Observation fba1c7fe-ddbc-42d8-b40c-43526e2d9a6a · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 33

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source=pdf_text observed=2026-08-10T16:18:12.234323Z digest=sha256:fcc3e88477b6cfd1c1557d02d9ba264657d1a994ee6ab02f51558e165e45effa

Observation d18cd26e-ae0d-49b2-a726-f9516fdd0697 · outbound

This paper cites FiT: Flexible Vision Transformer for Diffusion Model.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize FiT: Flexible Vision Transformer for Diffusion Model

Reference 34

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source=pdf_text observed=2026-08-10T16:18:12.237904Z digest=sha256:7070c2ba37af875456434736b7596e38994e0fdacab7ad545ea9c7c0652b670a

Observation 8124b151-35e6-45e8-a91b-863bc93e4e5e · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 35

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Observation fe3a9662-7ddf-4a0d-be28-94a60aa1adb5 · outbound

This paper cites Conditional Generative Adversarial Nets.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Conditional Generative Adversarial Nets

Reference 36

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Observation b14e42e3-1a4b-4284-bd35-6573cf7c6024 · outbound

This paper cites Swiftbrush: One-step text-to-image diffusion model with variational score distillation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Swiftbrush: One-step text-to-image diffusion model with variational score distillation

Reference 37

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raw_fallback, observed 2026-08-10T16:18:12.655347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.249017Z digest=sha256:3bed6a92a7aacc994316489b4a514ad9589ccfdc6eb7c6aaed7a4851ec1c6f04

Observation 7bc2c760-941c-4b2e-8196-494270208f1e · outbound

This paper cites Improved denoising diffusion probabilistic models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Improved denoising diffusion probabilistic models

Reference 38

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no resolver link, observed 2026-08-10T16:18:12.252526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.252526Z digest=sha256:bdfcb45ffd024c0b41223a347377186de82069bcbc9138f5610ab8c90bb3d26d

Observation e7a3de48-3468-4143-9a18-99e8e99edf8e · outbound

This paper cites Scalable diffusion models with transformers.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Scalable diffusion models with transformers

Reference 39

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no resolver link, observed 2026-08-10T16:18:12.255983Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T16:18:12.255983Z digest=sha256:91e2296df7dcf0b514998c1d028b62c17e912a17603f6478de5125f08cc49be3

Observation 5f1a9adb-7aa2-420d-9b4f-8f1fa30a0943 · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 40

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no resolver link, observed 2026-08-10T16:18:12.259362Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.259362Z digest=sha256:0db56c60a14688a641741770de86b524f1ea02632778ef83fab4efe492a3f716

Observation 54036ca6-50a2-44f8-b370-3062a6aa00a9 · outbound

This paper cites an unresolved cited work.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Unresolved cited work

Reference 41

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unresolved
raw_fallback, observed 2026-08-10T16:18:12.632406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.262939Z digest=sha256:1894ac1242d1203541f9a820b7951500bf3726028e32b2303706721e873dc8f6

Observation 47031572-372c-456a-9629-078a47be0783 · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Generating diverse high-fidelity images with vq-vae-2

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-10T16:18:12.621657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.266258Z digest=sha256:051c5322c0e8563912534bb1d0c9f6de65215d1a5fe95def197f7160b83113ff

Observation f8456c8b-6428-4010-994e-74af120f22f5 · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize High- resolution image synthesis with latent diffusion models

Reference 43

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no resolver link, observed 2026-08-10T16:18:12.269931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.269931Z digest=sha256:d90552b7f6b4c9af2bc54495af1de50d048bdf389dcb5abfc5511ae6af0e10ee

Observation 2e4bc64c-e057-44bd-96fe-5be43b3ad6c5 · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Photorealistic text-to-image diffusion models with deep language understanding

Reference 44

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no resolver link, observed 2026-08-10T16:18:12.273220Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T16:18:12.273220Z digest=sha256:9733cc541cddc92508d457b15ece2b1077d5c93f80ec99790fba9f47bb7f9437

Observation 24c3cd2c-0383-4d41-846c-83a337e7c4ae · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Progressive distillation for fast sampling of diffusion models

Reference 45

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no resolver link, observed 2026-08-10T16:18:12.276693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.276693Z digest=sha256:a3921f97201460eced8d60506db1fda4c70d9017418ae5db300c910920df1d23

Observation 3db7a48f-c2b8-4cdc-bf3d-173e03036369 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 46

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unresolved
no resolver link, observed 2026-08-10T16:18:12.280203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.280203Z digest=sha256:924ab2e78d3f6f5e1c538feb9c3e633f709ebb6453491dc450227b8ced8da0a0

Observation 1b942d56-83f4-43a6-b3ec-8804801bece9 · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Make-a-video: Text-to-video generation without text-video data

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-10T16:18:12.586297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.283643Z digest=sha256:650b8dba97b54cd45fdc2c09dc0d2423d96dc995a04e32731342231d00e3c64f

Observation a9a0775e-3f36-4b1e-b9e1-55c196391158 · outbound

This paper cites Denoising Diffusion Implicit Models.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Denoising Diffusion Implicit Models

Reference 48

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no resolver link, observed 2026-08-10T16:18:12.287034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.287034Z digest=sha256:3b703907e1491df31ba2482c32ead9e1d3ff05dc81f76a54c860442f48879266

Observation 13121d95-7f15-432f-84a8-168a7d88e744 · outbound

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

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Score-Based Generative Modeling through Stochastic Differential Equations

Reference 50

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unresolved
no resolver link, observed 2026-08-10T16:18:12.293892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.293892Z digest=sha256:d37b01db04c8cfd00ffc4fb2a2c4720e052e4a491d02e4ce86cc07a172fcdc5e

Observation 6a5a13cd-7c45-4c5f-95c7-33b3049b92e1 · outbound

This paper cites Givt: Generative infinite-vocabulary transformers.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Givt: Generative infinite-vocabulary transformers

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:18:12.576020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.297177Z digest=sha256:9123a0c668b298472df410e1da96192c9b55e4a3d037e236d1465d8d5616c9e9

Observation 8e300284-9b58-4daf-8007-77f0727afdf7 · outbound

This paper cites FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

Reference 52

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unresolved
no resolver link, observed 2026-08-10T16:18:12.300336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.300336Z digest=sha256:81be8940d85ab9ba737dd34acee6aba88ea273757166fd893fc0ac759937108f

Observation f4d2239a-bfda-41a3-aef1-441303efa296 · outbound

This paper cites PeRFlow: Piecewise rectified flow as universal plug-and-play accelerator.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize PeRFlow: Piecewise rectified flow as universal plug-and-play accelerator

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-10T16:18:12.565237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.303705Z digest=sha256:8750c8cdbeff7ac3b0f3fd928f41a611aa1e826899ba146f31434656a270d90b

Observation fb64496d-7135-4027-a06a-8590fbc4fe10 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Vector-quantized Image Modeling with Improved VQGAN

Reference 54

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no resolver link, observed 2026-08-10T16:18:12.306951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.306951Z digest=sha256:e895f0e9f75a733fb16c2b20235208ea74b5048b47acb7266b83ad2e87dfda2f

Observation 1c9c8a19-715b-427b-bc51-cf315e2edc74 · outbound

This paper cites Diffusion Models Need Visual Priors for Image Generation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Diffusion Models Need Visual Priors for Image Generation

Reference 55

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no resolver link, observed 2026-08-10T16:18:12.310367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.310367Z digest=sha256:704a5ac482a58acff0c7ba6cb86d1cf2b9dcb57cdc04dd9911e9f201357ecbc0

Observation 9c82f638-014e-44d9-a200-48afd0102450 · outbound

This paper cites Show-1: Marrying pixel and latent diffusion models for text-to-video generation.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Show-1: Marrying pixel and latent diffusion models for text-to-video generation

Reference 56

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unresolved
no resolver link, observed 2026-08-10T16:18:12.313968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:18:12.313968Z digest=sha256:a77622c638b76d59d1bc7f54bc8c7fd3e85e6260ad2c802eaf78b0b55fe66873

Observation 1fcabc56-ad4b-41be-9b1b-b4d45c714aae · outbound

This paper cites Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:18:12.548277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.316998Z digest=sha256:a4d25526b3d33a5877bee6b2f1012f5d72a8d42074a2347c35ddb561de425ffa

Observation 1d1e7d36-e5a6-46d2-981f-ee3c81b9ec6e · outbound

This paper cites Fast ode-based sampling for diffusion models in around 5 steps.

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize Fast ode-based sampling for diffusion models in around 5 steps

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:18:12.537455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:18:12.320037Z digest=sha256:9cc882ddfeefaa033f28a756c647863a123521064c7f2114527ff396df7a5fc3

Pith citing papers

No inbound Pith citation observations are available.