Paper Citation Record · LEDGER

Inference-Time Diffusion Model Distillation

As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2412.08871.

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

pith.paper-citation-record.v1
2412.08871 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

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measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:21:03.555659Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy28
unresolved26
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d8330b-c741-4c0a-ae9c-f74772403df0 · outbound

This paper cites Reverse-time diffusion equation models.

Inference-Time Diffusion Model Distillation Reverse-time diffusion equation models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.805278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 343fce50-3d3e-45f5-a435-44b5c15a1ae5 · outbound

This paper cites TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

Inference-Time Diffusion Model Distillation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.527981Z

Source-reported events for the cited work

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Observation 82afffa8-9e02-402d-ac17-9e6d23e439ea · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

Inference-Time Diffusion Model Distillation Diffusion posterior sampling for general noisy inverse problems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.789170Z

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Observation ae1bcc2a-e57b-44b7-a394-693e7abb7e21 · outbound

This paper cites Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems.

Inference-Time Diffusion Model Distillation Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.541571Z

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Observation 27cee828-4824-4336-b441-3c05676afb7b · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Inference-Time Diffusion Model Distillation CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.548290Z

Source-reported events for the cited work

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Observation 4b07d53b-2a12-48a7-a828-c7737b12a1ea · outbound

This paper cites Tweedie’s formula and selection bias.

Inference-Time Diffusion Model Distillation Tweedie’s formula and selection bias

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.772196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a51c0db-25b0-4790-8386-fdcb78437270 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Inference-Time Diffusion Model Distillation Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.755389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e480d175-f64f-4d23-9bcf-1ff617472375 · outbound

This paper cites DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning.

Inference-Time Diffusion Model Distillation DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning

Reference 8

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Source-reported events for the cited work

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Observation a92d103e-3dd1-4aca-a634-8db0884cdf24 · outbound

This paper cites Consistency Models Made Easy.

Inference-Time Diffusion Model Distillation Consistency Models Made Easy

Reference 9

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Source-reported events for the cited work

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Observation 51b3f250-4036-4bff-989e-d1d7135556aa · outbound

This paper cites Boot: Data-free distillation of denoising diffusion models with bootstrapping.

Inference-Time Diffusion Model Distillation Boot: Data-free distillation of denoising diffusion models with bootstrapping

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.737734Z

Source-reported events for the cited work

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Observation ba8b4090-8295-4ead-87a7-0865423d3252 · outbound

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

Inference-Time Diffusion Model Distillation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.582926Z

Source-reported events for the cited work

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Observation 1885fe76-2c92-4ab1-9352-5b69ae9eb62f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Inference-Time Diffusion Model Distillation Classifier-Free Diffusion Guidance

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.587570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82ca9b65-c6e1-4b0a-875d-fd679aeae967 · outbound

This paper cites Video diffusion models.

Inference-Time Diffusion Model Distillation Video diffusion models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cab572d-f997-4381-b6ed-9afc0c38962c · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

Inference-Time Diffusion Model Distillation Gotta Go Fast When Generating Data with Score-Based Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.597021Z

Source-reported events for the cited work

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Observation 98f78732-4f0c-44a8-9890-b94440268b06 · outbound

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

Inference-Time Diffusion Model Distillation Elucidating the design space of diffusion-based generative models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.698392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 520a8ffa-7fb6-41e7-ac37-a789d9d65c45 · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Inference-Time Diffusion Model Distillation Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.605893Z

Source-reported events for the cited work

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Observation 878524f9-db01-4c70-8b1e-d8a8c06b245f · outbound

This paper cites DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation.

Inference-Time Diffusion Model Distillation DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.610412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a01522ff-7e1b-4a61-b812-3efa10c553c1 · outbound

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

Inference-Time Diffusion Model Distillation Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.615723Z

Source-reported events for the cited work

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Observation 88de8378-1307-44cd-8671-7f008f3d0d56 · outbound

This paper cites Magic3d: High-resolution text- to-3d content creation.

Inference-Time Diffusion Model Distillation Magic3d: High-resolution text- to-3d content creation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.672012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70384282-1977-46d1-abf6-bace7abd3a2e · outbound

This paper cites AnimateDiff-Lightning: Cross-Model Diffusion Distillation.

Inference-Time Diffusion Model Distillation AnimateDiff-Lightning: Cross-Model Diffusion Distillation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.625928Z

Source-reported events for the cited work

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Observation ab3bf2be-0357-41d0-a6c5-292acfbedeae · outbound

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

Inference-Time Diffusion Model Distillation SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.631001Z

Source-reported events for the cited work

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Observation 594bb5d3-7bde-478d-8128-83470b3609d9 · outbound

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

Inference-Time Diffusion Model Distillation Pseudo numerical methods for diffusion models on manifolds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.653837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78b10060-3aac-4dfe-89b7-bf1fa919a242 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Inference-Time Diffusion Model Distillation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.640636Z

Source-reported events for the cited work

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Observation d8c93a34-22a2-4b9c-80ac-5f84c5f4b6cf · outbound

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

Inference-Time Diffusion Model Distillation Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.636622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 278c5268-5713-46f2-b32b-c90dae793a98 · outbound

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

Inference-Time Diffusion Model Distillation DPM-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.611766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1fc657b4-c552-4fee-88fb-242accbb0e71 · outbound

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

Inference-Time Diffusion Model Distillation DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.657551Z

Source-reported events for the cited work

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Observation c939be0f-2d6d-48d4-814d-32c2a839a31c · outbound

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

Inference-Time Diffusion Model Distillation Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.662769Z

Source-reported events for the cited work

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Observation ec3755e5-9a6b-4068-9249-10abfffed96a · outbound

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

Inference-Time Diffusion Model Distillation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.667628Z

Source-reported events for the cited work

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Observation 5f5d6f11-7c1c-4dc2-a415-c3b29c89e363 · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

Inference-Time Diffusion Model Distillation LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.672791Z

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Observation 4327bbf2-0880-40d5-b079-2a50a982b8d2 · outbound

This paper cites Diff-instruct: A universal ap- proach for transferring knowledge from pre-trained diffusion models.

Inference-Time Diffusion Model Distillation Diff-instruct: A universal ap- proach for transferring knowledge from pre-trained diffusion models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.595417Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 42d9822c-f4b7-4ddc-9fa7-fc923f7c2b59 · outbound

This paper cites Dreamshaper xl v2.1 turbo dpm++ sde.

Inference-Time Diffusion Model Distillation Dreamshaper xl v2.1 turbo dpm++ sde

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.579087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 07d06fc5-d932-46d2-bec8-bdaaa569486e · outbound

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

Inference-Time Diffusion Model Distillation Swiftbrush: One-step text-to-image diffusion model with variational score distilla- tion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.562994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b334427a-8a2e-4ae8-99cb-14d48f2006ef · outbound

This paper cites Energy-based cross attention for bayesian context update in text-to-image diffusion models.

Inference-Time Diffusion Model Distillation Energy-based cross attention for bayesian context update in text-to-image diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.546701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e944b1b2-bc6a-49a8-a0b1-fa82ad5070a6 · outbound

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

Inference-Time Diffusion Model Distillation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.698069Z

Source-reported events for the cited work

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Observation b16b6c5c-ffdc-4c00-85a1-1ca558a8e055 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Inference-Time Diffusion Model Distillation Movie Gen: A Cast of Media Foundation Models

Reference 35

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Source-reported events for the cited work

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Observation 8d9500f7-b963-4d34-bc45-4d3ba4be69cd · outbound

This paper cites Barron, and Ben Mildenhall.

Inference-Time Diffusion Model Distillation Barron, and Ben Mildenhall

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.530972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e34d819f-0d4b-4f8f-9ccb-9586ce7d74d5 · outbound

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

Inference-Time Diffusion Model Distillation Progressive distillation for fast sampling of diffusion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.514226Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a65728e5-9eca-4a63-bdcf-cf7fa40cccf9 · outbound

This paper cites Adversarial Diffusion Distillation.

Inference-Time Diffusion Model Distillation Adversarial Diffusion Distillation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.722628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a49987-c52b-4aec-9dba-65ed8f41c23f · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

Inference-Time Diffusion Model Distillation Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.728118Z

Source-reported events for the cited work

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Observation c0e9f0b1-132b-445e-97b3-cace14ab65b0 · outbound

This paper cites Denoising diffusion implicit models.

Inference-Time Diffusion Model Distillation Denoising diffusion implicit models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.497935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60629cbb-f0c7-4649-a0e5-ce8c95e21a8f · outbound

This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

Inference-Time Diffusion Model Distillation Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.481331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e969e4c7-8dbd-48ce-9974-c5ba54158945 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Inference-Time Diffusion Model Distillation Score-based generative modeling through stochastic differential equations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.463987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7424299-7ff0-41b6-8491-5fde030bdc1a · outbound

This paper cites Consistency Models.

Inference-Time Diffusion Model Distillation Consistency Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.747314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe8077b-6471-41f8-b5e5-b83aad950573 · outbound

This paper cites Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion.

Inference-Time Diffusion Model Distillation Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.446479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f4c9722-b885-49ee-bea7-f33894f51e5b · outbound

This paper cites Consistent3d: Towards consistent high-fidelity text-to-3d generation with deterministic sampling prior.

Inference-Time Diffusion Model Distillation Consistent3d: Towards consistent high-fidelity text-to-3d generation with deterministic sampling prior

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.429408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb05950d-f939-4961-b75f-9ddb0127873f · outbound

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

Inference-Time Diffusion Model Distillation Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.412797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 81ff1c44-a7ad-4509-8594-548737d12af2 · outbound

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

Inference-Time Diffusion Model Distillation Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.766815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3fd3d2a-94f6-4d03-b71e-bde6683c0411 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Inference-Time Diffusion Model Distillation One-step diffusion with distribution matching distillation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.395639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3d5ccf42-c2d8-492f-a320-1d4394496287 · outbound

This paper cites Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation.

Inference-Time Diffusion Model Distillation Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T17:33:53.778281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56a4205-ee96-4a08-af29-f430fc679eb0 · outbound

This paper cites Hifa: High- fidelity text-to-3d generation with advanced diffusion guid- ance.

Inference-Time Diffusion Model Distillation Hifa: High- fidelity text-to-3d generation with advanced diffusion guid- ance

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.376094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9a87166-8623-4cfb-b9f9-f90d65aac7cd · outbound

This paper cites an unresolved cited work.

Inference-Time Diffusion Model Distillation Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:33:54.356657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 004eeb43-69f7-4afe-87bc-d6432999b25e · outbound

This paper cites 2: Output: Improved generation x∗ 0.

Inference-Time Diffusion Model Distillation 2: Output: Improved generation x∗ 0

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.339985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a652e20a-e59e-4fd6-a885-13dddd9eaeab · outbound

This paper cites Extension to other solvers For completeness, we extend Distillation++ to accommo- date a broader range of ODE/SDE solvers.

Inference-Time Diffusion Model Distillation Extension to other solvers For completeness, we extend Distillation++ to accommo- date a broader range of ODE/SDE solvers

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.325005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 319f4d61-0f91-4d28-a23d-57dc5008b0e8 · outbound

This paper cites 8 and 9, we demonstrate the effectiveness of the proposed inference-time distillation with various student models.

Inference-Time Diffusion Model Distillation 8 and 9, we demonstrate the effectiveness of the proposed inference-time distillation with various student models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.308674Z

Source-reported events for the cited work

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Observation e6a4af8e-f14c-46b6-ad86-4bdfe636b460 · outbound

This paper cites While computational efficiency is critical for modeling in these high-dimensional spaces, recent studies highlight the challenge of reducing inference steps for video generation.

Inference-Time Diffusion Model Distillation While computational efficiency is critical for modeling in these high-dimensional spaces, recent studies highlight the challenge of reducing inference steps for video generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:33:54.293084Z

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Pith citing papers

Observation e7becef2-7738-455b-8d5d-7de173711354 · inbound

RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers cites this paper.

RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers Inference-Time Diffusion Model Distillation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T16:21:03.555659Z

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