Paper Citation Record · LEDGER

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model

As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 3 inbound Pith citation observations for arXiv:2501.00946.

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

pith.paper-citation-record.v1
2501.00946 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:41:27.426518Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:06:47.898614Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.440878Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b26521db-a9cc-46da-b18d-552a0eed6425 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Diffusion models beat gans on image synthesis,

Reference 1

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Observation e7eda685-12d7-4a4f-82c6-cf2c28495cfe · outbound

This paper cites Denoising diffusion probabilistic models,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Denoising diffusion probabilistic models,

Reference 2

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Observation d31e5e99-3479-46fc-86de-8cc41fbc18b4 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 3

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Observation d53af894-3fde-4b84-9614-9e94f7dad679 · outbound

This paper cites Denoising diffusion restoration models,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Denoising diffusion restoration models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.133773Z

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Observation 58414bd7-af7c-45a9-b169-f838e9eec035 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model High- resolution image synthesis with latent diffusion models,

Reference 5

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Observation 9f1eae4b-390d-4d54-94db-32e3d18fd71c · outbound

This paper cites DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.145687Z

Source-reported events for the cited work

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Observation 46014976-cac2-4924-843d-9171ae13c5df · outbound

This paper cites Diffusion-lm improves controllable text generation,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Diffusion-lm improves controllable text generation,

Reference 7

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Observation c426ee09-ed15-4919-9a4a-d78644fdc511 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.157299Z

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Observation 60752315-4fd8-411c-9806-26c8eb001495 · outbound

This paper cites Grad- tts: A diffusion probabilistic model for text-to-speech,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Grad- tts: A diffusion probabilistic model for text-to-speech,

Reference 9

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Observation 48d97b24-ebf0-4fae-8b23-dfea267ab865 · outbound

This paper cites VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Reference 10

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Observation 1e189f20-b555-4a88-a87d-e39801c1f020 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Imagen Video: High Definition Video Generation with Diffusion Models

Reference 11

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Observation 54039c92-9fbb-456a-bddc-25c07d15e98c · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic mod- els,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Srdiff: Single image super-resolution with diffusion probabilistic mod- els,

Reference 12

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Observation c27dabb9-6f3d-4c83-a8ae-1dc26461a1ce · outbound

This paper cites Implicit diffusion models for continuous super-resolution,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Implicit diffusion models for continuous super-resolution,

Reference 13

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Observation 8fa5a958-c7ab-4baa-b3cf-595bf61ab509 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Instructpix2pix: Learning to follow image editing instructions,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.189177Z

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Observation 4c8623dd-0121-4624-8854-74067880f34a · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Blended diffusion for text- driven editing of natural images,

Reference 15

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Observation 175c3af7-e4b0-4b6b-99e1-5ca3f3b9cb18 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model DreamFusion: Text-to-3D using 2D Diffusion

Reference 16

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Observation 5bad3cfe-353a-4c04-acd0-a7669ac424ac · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.203100Z

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Observation 513a9489-8042-4db0-b079-d44a42768e27 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.208241Z

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Observation 9a50c9a9-b3d2-4df1-ab14-a764de30b45f · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Photorealistic text-to-image diffusion models with deep language understanding,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.212765Z

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Observation 8e44d8b4-5df1-4e2f-843f-973a89f0f86d · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 20

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Observation 6143250b-2944-4841-9f78-71d675a921c9 · outbound

This paper cites Token Merging: Your ViT But Faster.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Token Merging: Your ViT But Faster

Reference 21

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Observation d247075f-ac29-4d51-affe-4a30aaa6b44a · outbound

This paper cites Snapfusion: Text-to-image diffusion model on mobile devices within two seconds,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Snapfusion: Text-to-image diffusion model on mobile devices within two seconds,

Reference 22

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Observation 0713f3bb-b130-4e3e-9d59-2109420b114e · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model U-net: Convolutional networks for biomedical image segmentation,

Reference 23

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Observation a69a1d23-48ab-416e-b7dc-04c1b5768a33 · outbound

This paper cites Deepcache: Accelerating diffusion models for free,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Deepcache: Accelerating diffusion models for free,

Reference 24

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Observation fd3fdabc-7f7e-4150-95af-392985987dfd · outbound

This paper cites Improved techniques for training gans,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Improved techniques for training gans,

Reference 25

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Observation f8c1b5c0-efac-4951-9357-3cbc9501c006 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Progressive Distillation for Fast Sampling of Diffusion Models

Reference 26

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Observation e8da87bb-447b-4fa9-a78f-87478be1c9b3 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 27

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Observation 759262df-fe5b-47e0-9213-42f4bdbfb376 · outbound

This paper cites On distillation of guided diffusion models,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model On distillation of guided diffusion models,

Reference 28

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Observation 576114b7-9ddb-4bd0-98d9-94bfbae4424c · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.269155Z

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Observation afec2fea-7707-433d-8b56-abcc38ba40a8 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.275867Z

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Observation c463a536-1ee7-4103-9d1a-a62066afca23 · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Ptqd: Accurate post-training quantization for diffusion models,

Reference 31

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Observation 7c4ade53-65f3-4451-b989-8c2369d39804 · outbound

This paper cites Denoising Diffusion Implicit Models.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Denoising Diffusion Implicit Models

Reference 32

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Observation a1d47487-310e-42b2-9821-afca1f5ee38d · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 33

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Observation 07fe70a5-5b18-4b1a-a71b-c890ccdadb52 · outbound

This paper cites Come-closer-diffuse-faster: Accelerat- ing conditional diffusion models for inverse problems through stochastic contraction,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Come-closer-diffuse-faster: Accelerat- ing conditional diffusion models for inverse problems through stochastic contraction,

Reference 34

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Observation 9fa46eff-cc49-4d1f-a51e-123ac048f502 · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 35

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Observation e28be602-2c99-4bd9-aaea-73cfa5cd8111 · outbound

This paper cites Post-training quantiza- tion on diffusion models,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Post-training quantiza- tion on diffusion models,

Reference 36

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Observation 4dec7dfb-f83b-4faa-9197-ee69f0e500e0 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Cache me if you can: Accelerating diffusion models through block caching,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:28.043983Z

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Observation 534be20b-0cd9-4e8e-b834-a5d03ea89981 · outbound

This paper cites Faster Diffusion via Temporal Attention Decomposition.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Faster Diffusion via Temporal Attention Decomposition

Reference 38

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Observation c9b159f9-cefc-462c-bc49-aaa5af0cc15a · outbound

This paper cites Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.345642Z

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Observation ce7caaa8-84f1-4799-84c0-a499cd320da7 · outbound

This paper cites Token merging for fast stable diffusion,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Token merging for fast stable diffusion,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:28.017060Z

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Observation 5b47f237-b52d-4416-8bab-b2a701698c41 · outbound

This paper cites A-vit: Adaptive tokens for efficient vision transformer,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model A-vit: Adaptive tokens for efficient vision transformer,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:27.998616Z

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Observation 5b3e0be0-d465-44da-a1c9-1c609e483c4f · outbound

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Token fusion: Bridging the gap between token pruning and token merging,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.362158Z

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Observation 09dcfe66-3e92-4777-8b97-8d04f365e0cc · outbound

This paper cites Dynam- icvit: Efficient vision transformers with dynamic token sparsification,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Dynam- icvit: Efficient vision transformers with dynamic token sparsification,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:27.969977Z

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Observation f081b9ce-b6cd-4af0-9820-9d75f8e2dc0c · outbound

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Token Pooling in Vision Transformers

Reference 44

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Generative adversarial nets,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.378519Z

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Wasserstein generative ad- versarial networks,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.383410Z

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Observation 65dbf213-b8e0-4c2a-ad2b-dbb49dd3dbc3 · outbound

This paper cites Controllable text-to-image generation,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Controllable text-to-image generation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:27.928770Z

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Observation 9d0d6167-58f0-49f0-83b7-76f2fd4b6b77 · outbound

This paper cites beta-vae: Learning basic vi- sual concepts with a constrained variational framework.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model beta-vae: Learning basic vi- sual concepts with a constrained variational framework

Reference 48

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Auto-Encoding Variational Bayes

Reference 49

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Observation f3ed7952-75fe-4426-8739-79ed529b5889 · outbound

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Scalable diffusion models with transformers,

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Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.404625Z

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Observation f02e9cb7-f14e-41c5-a4a0-6da597c66e91 · outbound

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Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Knowledge diffusion for distillation,

Reference 51

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This paper cites Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.414448Z

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Observation af4d3ae7-5842-43d6-acfd-0499bb510954 · outbound

This paper cites Parallel sam- pling of diffusion models,.

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Parallel sam- pling of diffusion models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:41:27.879002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7639b144-ad56-4828-96ee-a581134d7823 · outbound

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

Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Imagenet: A large-scale hierarchical image database,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T22:41:27.426518Z

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Pith citing papers

Observation f2315004-b3f1-4324-b5e0-e180b7b0090f · inbound

SADA: Stability-guided Adaptive Diffusion Acceleration cites this paper.

SADA: Stability-guided Adaptive Diffusion Acceleration Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:47.898614Z

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Observation ca461873-547d-4bc3-9405-fe40e04511d4 · inbound

DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration cites this paper.

DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T19:11:59.575264Z

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Observation dfdb32ff-4751-4017-afe7-d365f5f36361 · inbound

ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE cites this paper.

ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.442248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.