ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation | Paper Citation Record

Observation ebb7c73b-37a0-4b0c-b08c-de36b836fdbc · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 1

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Observation 47e60767-e29c-4e00-9bfe-9deccde0c833 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 2

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Observation 15667fbe-526b-4986-9d0e-a26e72bc61ec · outbound

This paper cites Score-based generative modeling through stochastic evolution equations in hilbert spaces.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Score-based generative modeling through stochastic evolution equations in hilbert spaces

Reference 3

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Observation 0477864e-820f-4f05-8928-0d81f33aec57 · outbound

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

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation High- resolution image synthesis with latent diffusion models

Reference 4

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Observation 382cf3db-f595-4a4f-9aa2-cd478f96b434 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation SDXL: Improving latent diffusion models for high-resolution image synthesis

Reference 5

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Observation 3f712b03-dd8a-410a-bc4b-e26fe0578efb · outbound

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

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 6

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Observation e8d0d899-1654-40f8-89b3-f44ab5c667ea · outbound

This paper cites Scalable diffusion models with transformers.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Scalable diffusion models with transformers

Reference 7

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Observation bb7aa4f2-ec75-4533-a964-745b85a23d92 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Blended diffusion for text-driven editing of natural images

Reference 8

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Observation 847e32c3-307c-4347-ae3a-54e477577fd2 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Imagic: Text-based real image editing with diffusion models

Reference 9

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Observation 32e93927-d97b-4bab-b01f-9bd7d89833f6 · outbound

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

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Adding conditional control to text-to-image diffusion models

Reference 10

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Observation 56abc617-50a0-4f55-8500-b87f517c8622 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 11

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Observation 8fce975f-b20f-47fa-ab4b-6b599ae4314a · outbound

This paper cites Denoising Diffusion Implicit Models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Denoising Diffusion Implicit Models

Reference 12

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Observation eb9f4e96-8343-49c6-9861-32497dfb890a · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787, 2022

Reference 13

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Observation 102b7c40-23a5-4e3c-ab49-50265bdbf628 · outbound

This paper cites Consistency models, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Consistency models, 2023

Reference 14

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Observation f37ca086-23be-45d6-93d6-ab7a4ce4c1f6 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 15

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Observation 89041c26-b99f-409e-baae-26d3e6568102 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Deepcache: Accelerating diffusion models for free

Reference 16

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Observation 97b9aca5-a926-4063-848d-fefe4bc18a21 · outbound

This paper cites HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads

Reference 17

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Observation b84fff20-f9e3-4708-a47c-44be0b9a215a · outbound

This paper cites Not all prompts are made equal: Prompt-based pruning of text-to-image diffusion models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Not all prompts are made equal: Prompt-based pruning of text-to-image diffusion models

Reference 18

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Observation f3a1b19b-1510-4b34-9134-36fc12b41e62 · outbound

This paper cites LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models

Reference 19

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Observation eaaf00d3-4918-4f68-8ed6-9734ee39d3aa · outbound

This paper cites Ld-pruner: Effi- cient pruning of latent diffusion models using task-agnostic insights, 2024.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Ld-pruner: Effi- cient pruning of latent diffusion models using task-agnostic insights, 2024

Reference 20

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Observation 7af81d95-063a-44b2-b2ac-73f2d245bf18 · outbound

This paper cites Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models, 2022.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models, 2022

Reference 21

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Observation b84d84f1-7988-4148-82d3-e8e08b32fa3d · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Pseudo numerical methods for diffusion models on manifolds

Reference 22

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Observation 3fbe9389-487e-48e5-a7ce-aa50f37b70c9 · outbound

This paper cites Fast sampling of diffusion models with exponential integrator, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Fast sampling of diffusion models with exponential integrator, 2023

Reference 23

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Observation fbf973cf-9b4d-4a30-9252-a20d824b7906 · outbound

This paper cites Parallel sampling of diffusion models, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Parallel sampling of diffusion models, 2023

Reference 24

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Observation cd04df2a-fc4c-4653-8e2d-a6ecc034c23a · outbound

This paper cites Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023

Reference 25

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Observation bfee2a1a-56e7-4746-86bf-3527829c2e76 · outbound

This paper cites Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans

Reference 26

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Observation 250259aa-cbb8-46f7-b2e2-c5f9261055c8 · outbound

This paper cites Adversarial diffusion distillation, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Adversarial diffusion distillation, 2023

Reference 27

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Observation f0e65431-ca3f-45b1-83e1-d2ea7fa8969b · outbound

This paper cites Tract: Denoising diffusion models with transitive closure time-distillation, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Tract: Denoising diffusion models with transitive closure time-distillation, 2023

Reference 28

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Observation 08142e24-92d4-464d-89d3-4656676ee772 · outbound

This paper cites Accelerating diffusion models via early stop of the diffusion process, 2022.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Accelerating diffusion models via early stop of the diffusion process, 2022

Reference 29

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Observation ac700851-392c-47ef-9d35-e19c9ecbde12 · outbound

This paper cites Dip-go: A diffusion pruner via few-step gradient optimization.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Dip-go: A diffusion pruner via few-step gradient optimization

Reference 30

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Observation 6f0766bd-10ef-4f34-ac5b-a0ebc69b27cd · outbound

This paper cites Faster diffusion: Rethinking the role of the encoder for diffusion model inference.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Faster diffusion: Rethinking the role of the encoder for diffusion model inference

Reference 31

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Observation f1e98ef5-f4ab-40db-a069-ea413c356a5b · outbound

This paper cites Learning-to-cache: Accelerating diffusion transformer via layer caching.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Learning-to-cache: Accelerating diffusion transformer via layer caching

Reference 32

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Observation 8785b09e-3769-4be6-9d8f-a110c73c3253 · outbound

This paper cites Cache me if you can: Accelerating diffusion models through block caching.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Cache me if you can: Accelerating diffusion models through block caching

Reference 33

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Observation dc9a15b4-d3d1-486a-953a-24ca2b48dea8 · outbound

This paper cites Post-training quantization on diffusion models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Post-training quantization on diffusion models

Reference 34

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Observation b09d6fec-f3e5-433f-8ab9-4f348bb37650 · outbound

This paper cites Temporal dynamic quantization for diffusion models.Advances in neural information processing systems, 36:48686–48698, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Temporal dynamic quantization for diffusion models.Advances in neural information processing systems, 36:48686–48698, 2023

Reference 35

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Observation d9610b3e-a0d7-4463-bf0c-9234d85c5c05 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 36

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Observation 9afae5dc-540b-4f92-a4c2-bded45021d1d · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 37

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Observation a346b8cd-a253-4c5c-9b7b-aa2e131af6ce · outbound

This paper cites The State of Sparsity in Deep Neural Networks.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation The State of Sparsity in Deep Neural Networks

Reference 38

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Observation c7a3fb70-8e7b-4539-93cd-b54cf5f4c013 · outbound

This paper cites OTOV2: Automatic, Generic, User-Friendly.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation OTOV2: Automatic, Generic, User-Friendly

Reference 39

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Observation 9ccb7383-9457-4698-a288-9fe3934f6c25 · outbound

This paper cites An accelerated doubly stochastic gradient method with faster explicit model identification.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation An accelerated doubly stochastic gradient method with faster explicit model identification

Reference 40

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Observation 28319253-eaf8-43c9-97ed-65dc204e1023 · outbound

This paper cites Doubly sparse asynchronous learning for stochastic composite optimization.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Doubly sparse asynchronous learning for stochastic composite optimization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:48.881566Z

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Observation a4c6849c-0ff9-4813-a26f-25ceb34447b2 · outbound

This paper cites Learning to prune deep neural networks via layer-wise optimal brain surgeon, 2017.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Learning to prune deep neural networks via layer-wise optimal brain surgeon, 2017

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:48.663632Z

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Observation ebd6d388-d533-4ba5-99fa-7d23d02f8b78 · outbound

This paper cites Lookahead: A far-sighted alternative of magnitude-based pruning, 2020.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Lookahead: A far-sighted alternative of magnitude-based pruning, 2020

Reference 43

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Observation 500cd1d1-7f4d-4835-b3fc-1bf5fdbb296c · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Sparsegpt: Massive language models can be accurately pruned in one-shot

Reference 44

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Observation 1f917454-8130-4c47-9291-100440aea80f · outbound

This paper cites LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Reference 45

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Observation f7c14f6d-cbed-4787-a145-c0831ddd8169 · outbound

This paper cites Slicegpt: Compress large language models by deleting rows and columns.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Slicegpt: Compress large language models by deleting rows and columns

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:48.178101Z

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Observation 3220ec1d-68b9-45d1-923d-ca8146724b72 · outbound

This paper cites Structural pruning for diffusion models.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Structural pruning for diffusion models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.991011Z

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Observation f4721ac8-5530-4eb5-a5fa-4488cb4b98f6 · outbound

This paper cites Snapfusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Processing Systems, 36:20662–20678, 2023.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Snapfusion: Text-to-image diffusion model on mobile devices within two seconds.Advances in Neural Information Processing Systems, 36:20662–20678, 2023

Reference 48

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Observation 88a0caa5-2ecc-47bf-9450-6f7415e51506 · outbound

This paper cites Diffusion probabilistic model made slim, 2022.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Diffusion probabilistic model made slim, 2022

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.717623Z

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Observation b5ca6529-7e73-4874-9aa2-068d58790edf · outbound

This paper cites BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion

Reference 50

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Observation 8415acf1-4361-47ea-9f33-77cdda024bed · outbound

This paper cites Dynamic diffusion transformer.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Dynamic diffusion transformer

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.620967Z

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Observation 517206ab-ead5-4cc4-8da7-a340dfd44925 · outbound

This paper cites Glam: Efficient scaling of language models with mixture-of-experts.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Glam: Efficient scaling of language models with mixture-of-experts

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:44.559255Z

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Unavailable: canonical work link unavailable.

Observation 729758f1-ea9a-4b58-b05e-5e01bbb395ca · outbound

This paper cites Mixtral of Experts.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Mixtral of Experts

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:44.663680Z

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Observation 76799ad0-ea43-4e57-9093-ced6f4fb3363 · outbound

This paper cites Self-moe: Towards compositional large language models with self-specialized experts, 2024.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Self-moe: Towards compositional large language models with self-specialized experts, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.525593Z

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Observation aed279ae-cebe-48d6-8a43-35bc800df1c5 · outbound

This paper cites To- moe: Converting dense large language models to mixture-of-experts through dynamic structural pruning, 2025.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation To- moe: Converting dense large language models to mixture-of-experts through dynamic structural pruning, 2025

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.394849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a4dd355-db97-4f15-858f-7615e824fad8 · outbound

This paper cites Mixture of efficient diffusion experts through automatic interval and sub-network selection.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Mixture of efficient diffusion experts through automatic interval and sub-network selection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.296721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad660535-699d-4f80-9aea-78fb63cbb7d5 · outbound

This paper cites EC-DIT: Scaling diffusion transformers with adaptive expert-choice routing.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation EC-DIT: Scaling diffusion transformers with adaptive expert-choice routing

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.158991Z

Source-reported events for the cited work

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Observation 0319b9d7-4465-492a-a574-e6712320c5c4 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 58

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Source-reported events for the cited work

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Observation f6b82647-66c4-4f0b-af31-b42270f728c0 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation U-net: Convolutional networks for biomedical image segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.226652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831eb1dd-f98f-4808-b337-483e12691831 · outbound

This paper cites Diffusion models beat gans on image synthesis.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Diffusion models beat gans on image synthesis

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.294970Z

Source-reported events for the cited work

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Observation 2de5599e-5dd9-4a6b-831e-0343e95912d7 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Categorical Reparameterization with Gumbel-Softmax

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.414649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0ee0718-5c71-48eb-b9e0-a8cdf28ce2fa · outbound

This paper cites {GS}hard: Scaling giant models with conditional computation and automatic sharding.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation {GS}hard: Scaling giant models with conditional computation and automatic sharding

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:47.005382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf01e1a3-ed24-46e3-bd31-25450f1027e3 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.Journal of Machine Learning Research, 23(120):1–39, 2022

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.543883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a02c16-ae01-42f9-a6a0-0eefeb58f4e9 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Laion- 5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.621457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4667866d-d877-4e45-8f0c-7ec4270e32b1 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:46.858800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a71c832-f954-4f73-9b3c-611ab2dbce7a · outbound

This paper cites Microsoft coco: Common objects in context.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Microsoft coco: Common objects in context

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.833008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e313c5-1a04-4230-b8a8-339cca75f731 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:45.923763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf4e37e-e9ba-4a2d-8b35-1c2c3fa8e5c4 · outbound

This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Rethinking fid: Towards a better evaluation metric for image generation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.015698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1958bb-4197-4323-9ce1-e552dc9694ef · outbound

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

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.094525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142fe4fc-64ea-4950-b146-b0a3464d90a8 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.190647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5ecffd-ffd1-48c0-b501-12809455cf9e · outbound

This paper cites Decoupled weight decay regularization.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Decoupled weight decay regularization

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.295461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701b981f-4e79-4b58-ac1e-0e2457bfa7c1 · outbound

This paper cites Classifier-Free Diffusion Guidance.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Classifier-Free Diffusion Guidance

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.404857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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