Paper Citation Record · LEDGER

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 5 inbound Pith citation observations for arXiv:2508.16211.

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

pith.paper-citation-record.v1
2508.16211 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:31:13.109226Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:40:50.026085Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.654553Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy2
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6716ca51-e5fe-4812-8cd8-565942f36ea9 · outbound

This paper cites Token Merging for Fast Stable Diffusion.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Token Merging for Fast Stable Diffusion

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.006011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a114b720-4bdf-4469-b1ab-c5eb94a14c41 · outbound

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

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.009858Z

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Observation d14cb7c2-7df6-4ec0-bf88-a154b6b794d9 · outbound

This paper cites Structural Pruning for Diffusion Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Structural Pruning for Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.021492Z

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Observation ba92620b-78f7-4168-89e8-e4ed17d4dff0 · outbound

This paper cites VBench: Comprehensive Benchmark Suite for Video Generative Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers VBench: Comprehensive Benchmark Suite for Video Generative Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.039875Z

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Observation 0d67f577-97a3-4981-b603-7a593a19b6d7 · outbound

This paper cites Ditto: Accelerating Diffusion Model via Temporal Value Similarity.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Ditto: Accelerating Diffusion Model via Temporal Value Similarity

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.043232Z

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Observation d95f1001-e8a8-4adc-b50f-b96ef7d1a462 · outbound

This paper cites Q-Diffusion: Quantizing Diffusion Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Q-Diffusion: Quantizing Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.046427Z

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Observation e3d65d8d-74f0-46cd-8d66-1b5739cfc5e4 · outbound

This paper cites A unified diagrammatic approach to quantum transport in few-level junctions for bosonic and fermionic reservoirs: Application to the quantum Rabi model.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers A unified diagrammatic approach to quantum transport in few-level junctions for bosonic and fermionic reservoirs: Application to the quantum Rabi model

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:31:13.334199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27756745-3a06-43e3-9888-b3bd5afb98b6 · outbound

This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.056183Z

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Observation bf12e93d-4608-4944-9a35-f83ce48aebea · outbound

This paper cites DeepCache: Accelerating Diffusion Models for Free.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers DeepCache: Accelerating Diffusion Models for Free

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.059315Z

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Observation 3df1577b-477f-412f-811b-937959185f61 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Scalable Diffusion Models with Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.062385Z

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Observation 6e140743-5c09-4f27-b7f8-4770c6e513e1 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.068649Z

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Observation 48ee7a54-07d5-4221-a77c-79b6bf54124e · outbound

This paper cites FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers FORA: Fast-Forward Caching in Diffusion Transformer Acceleration

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.071944Z

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Observation a142503b-79ac-4d0e-8818-a0402cf1f143 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.074938Z

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Observation 0f6e0a47-031a-4c45-8503-0ad4d6c8e793 · outbound

This paper cites Denoising Diffusion Implicit Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Denoising Diffusion Implicit Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.078322Z

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Observation db9a10d9-7fd0-42e1-8bda-b93d483f057f · outbound

This paper cites Consistency Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Consistency Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.081347Z

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Observation b81d3c45-33be-48b0-bd2e-52187fc54264 · outbound

This paper cites Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.084588Z

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Observation 394ca040-c0c2-42be-a3ce-75b95f07a77e · outbound

This paper cites Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Cache Me if You Can: Accelerating Diffusion Models through Block Caching

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.087612Z

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Observation daa0ffd2-6861-4203-9c19-0f6db8c57089 · outbound

This paper cites ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.090698Z

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Observation fde88d4c-e1e2-4d00-9f0e-6e7510664d66 · outbound

This paper cites Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:31:13.207281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 743e656b-1d9c-49d3-9c35-0a4365b2cdf1 · outbound

This paper cites DiTFastAttn: Attention Compression for Diffusion Transformer Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers DiTFastAttn: Attention Compression for Diffusion Transformer Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.096559Z

Source-reported events for the cited work

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Observation a1faab66-0305-46d0-a4c1-b0635b35f7ac · outbound

This paper cites Real-Time Video Generation with Pyramid Attention Broadcast.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Real-Time Video Generation with Pyramid Attention Broadcast

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.099733Z

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Unavailable: canonical work link unavailable.

Observation 1c4c6a98-83da-4791-bf44-be76ed7aa0cd · outbound

This paper cites DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.102906Z

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Observation a39bcbdc-3dcd-49fe-b2fb-09311a6b7151 · outbound

This paper cites DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:31:13.157842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9f0e57be-8ab7-4cd4-958a-beab243af77c · outbound

This paper cites Accelerating Diffusion Transformers with Token-wise Feature Caching.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Accelerating Diffusion Transformers with Token-wise Feature Caching

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.109226Z

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Observation e5910081-7368-403c-952a-bb068c196cc0 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.065597Z

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Observation e3b05b1f-637b-4a25-b609-0d9b74ca59fb · outbound

This paper cites In Ad- vances in Neural Information Processing Systems 30 (NIPS 2017).

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers In Ad- vances in Neural Information Processing Systems 30 (NIPS 2017)

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:31:13.442159Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d21e9708-90bc-4247-b61b-5ef6f5e36b28 · outbound

This paper cites In 2019 IEEE/CVF International Confer- ence on Computer Vision Workshop (ICCVW), 512–520.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers In 2019 IEEE/CVF International Confer- ence on Computer Vision Workshop (ICCVW), 512–520

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:31:13.451813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74b62f1d-aab7-4abf-83f3-8fc486c18978 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Denoising Diffusion Probabilistic Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.036056Z

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Observation 854f6125-ac1b-49e9-ab97-e398eb621038 · outbound

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

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.028828Z

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Observation 725f2a67-d236-4e36-8809-b63e20261048 · outbound

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

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.052988Z

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Observation af9a5ef3-ec67-48e1-8c28-caba19680914 · outbound

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

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.001967Z

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Observation 48a51896-efe4-452b-9f81-49446461045b · outbound

This paper cites Self-enhanced mobility enables vortex pattern formation in living matter.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers Self-enhanced mobility enables vortex pattern formation in living matter

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T17:31:13.406916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5826e9cf-f797-437d-aeeb-142cc0929323 · outbound

This paper cites CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models.

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T17:31:13.017504Z

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Pith citing papers

Observation 9e623894-7925-418d-a1af-7d91d53b22f5 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Reference 199

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:26.095810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5e6ea67-d0c6-41eb-9d76-78f1c9d25720 · inbound

SpecEdit: Training-Free Acceleration for Diffusion based Image Editing via Semantic Locking cites this paper.

SpecEdit: Training-Free Acceleration for Diffusion based Image Editing via Semantic Locking Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:09.598029Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e028472-761e-40a9-a321-0fda207401ef · inbound

Dynamic Video Generation: Shaping Video Generation Across Time and Space cites this paper.

Dynamic Video Generation: Shaping Video Generation Across Time and Space Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:43:58.855234Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5bdaee97-b2bf-4bbd-9844-a2c85e52791b · inbound

ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion Acceleration cites this paper.

ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion Acceleration Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:50.656817Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0054720-05ea-41ad-b5d5-0a9432a0c937 · inbound

BRACE: Taming Sharp Irregularities via Barycentric Rational Forecasting for Fast Diffusion Transformers Inference cites this paper.

BRACE: Taming Sharp Irregularities via Barycentric Rational Forecasting for Fast Diffusion Transformers Inference Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T00:40:50.026085Z

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Unavailable: canonical work link unavailable.