Paper Citation Record · LEDGER

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training

As of 4 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2604.07397.

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

pith.paper-citation-record.v1
2604.07397 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:55:26.852585Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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verified fuzzy24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a062aefe-6584-4e73-9e57-ada2100de236 · outbound

This paper cites Variance Reduction in SGD by Distributed Importance Sampling.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Variance Reduction in SGD by Distributed Importance Sampling

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.159842Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f07c47f6-a09e-4285-8ed0-bae409649dc8 · outbound

This paper cites Curriculum learning.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Curriculum learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.527566Z

Source-reported events for the cited work

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Observation f7e86fec-a416-424a-bde4-e407a2d94941 · outbound

This paper cites SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.174560Z

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Observation a97822ab-b732-4aa1-bcf7-2761fd04b550 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.529478Z

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Observation e1f1b49f-ea39-487d-8ec5-4aab39177a73 · outbound

This paper cites Automated curriculum learning for neural networks.International Conference on Machine Learning.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Automated curriculum learning for neural networks.International Conference on Machine Learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.531724Z

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Observation 03fa6d2d-0911-4ae5-951e-adcc02c1725c · outbound

This paper cites Masked autoencoders are scalable vision learners.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Masked autoencoders are scalable vision learners

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.535608Z

Source-reported events for the cited work

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Observation 48e74bb8-8c03-44fe-bb1a-77700947b4e7 · outbound

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

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.533702Z

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Observation e29a932f-6d87-4638-9cc6-8d1762d70ad4 · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Denoising diffu- sion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.511654Z

Source-reported events for the cited work

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Observation 1007fb42-cb1a-47c2-9a41-d78092a2e6be · outbound

This paper cites Advancing ppg-based continuous blood pressure monitoring from a generative perspective.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Advancing ppg-based continuous blood pressure monitoring from a generative perspective

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.498826Z

Source-reported events for the cited work

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Observation d9c304d9-31fd-4e3b-b1a2-69b9c870d2bb · outbound

This paper cites Translation from wear- able ppg to 12-lead ecg.arXiv preprint arXiv:2509.25480.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Translation from wear- able ppg to 12-lead ecg.arXiv preprint arXiv:2509.25480

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.071950Z

Source-reported events for the cited work

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Observation acd4098f-c76a-4922-892a-1d74072d47f4 · outbound

This paper cites Self-paced curriculum learning.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Self-paced curriculum learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.514636Z

Source-reported events for the cited work

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Observation f5f7ac9c-993e-43b1-a411-27f692c7b5e8 · outbound

This paper cites Not all samples are created equal: Deep learning with importance sampling.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Not all samples are created equal: Deep learning with importance sampling

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.481271Z

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Observation 27a740cb-411b-4fb8-bf80-b69d64c130ea · outbound

This paper cites Grad-match: Gra- dient matching based data subset selection for efficient deep model training.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Grad-match: Gra- dient matching based data subset selection for efficient deep model training

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.483682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3aa17590-3bd3-4bbb-b34d-61c48692004e · outbound

This paper cites Self- paced learning for latent variable models.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Self- paced learning for latent variable models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.523559Z

Source-reported events for the cited work

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Observation 9dcd0f62-7f20-45a9-8045-5cd3275c7c21 · outbound

This paper cites Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Improved precision and recall metric for assessing generative models.Advances in neural information processing systems, 32

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.504371Z

Source-reported events for the cited work

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Observation 2eaa72b5-72ce-4182-9a1b-51233db09836 · outbound

This paper cites From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.084936Z

Source-reported events for the cited work

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Observation 86382ec3-2be8-443a-854b-3c992656bb28 · outbound

This paper cites Efficient generative model training via embedded representation warmup.arXiv preprint arXiv:2504.10188.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Efficient generative model training via embedded representation warmup.arXiv preprint arXiv:2504.10188

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.065716Z

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Observation 2466d0e3-6da7-496f-9edd-48f7edeea3d9 · outbound

This paper cites Online Batch Selection for Faster Training of Neural Networks.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Online Batch Selection for Faster Training of Neural Networks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.077126Z

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Observation 182403fe-21fe-4725-b4bc-4843c1d3b2d4 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable in- terpolant transformers.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Sit: Exploring flow and diffusion-based generative models with scalable in- terpolant transformers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.503414Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b66e47f-d0fe-4dba-b2ce-46aa2058b40d · outbound

This paper cites Prioritized training on points that are learnable, worth learning, and not yet learnt.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Prioritized training on points that are learnable, worth learning, and not yet learnt

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.488461Z

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Observation ee49985c-b402-4cbd-9fa9-dbe20dcf468a · outbound

This paper cites Coresets for data-efficient training of machine learning mod- els.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Coresets for data-efficient training of machine learning mod- els

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.519415Z

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Observation 0abece45-4c54-4559-a7d6-d6fb6eab5a39 · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Curriculum learning for reinforcement learning domains: A framework and survey

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.511962Z

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Observation ef7356c1-fcd7-4285-b368-3c282918aa69 · outbound

This paper cites Generating Images with Sparse Representations.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Generating Images with Sparse Representations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.089923Z

Source-reported events for the cited work

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Observation b9218885-cef1-4e02-abe5-977f5fa4b23e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training DINOv2: Learning Robust Visual Features without Supervision

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:40:54.057020Z

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Observation ddb67708-a14a-4e52-b242-74b6a28c5d80 · outbound

This paper cites Competence- based curriculum learning for neural machine translation.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Competence- based curriculum learning for neural machine translation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.510060Z

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Observation 9849c958-4811-4bf4-9f58-1b645c5048a5 · outbound

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

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training High-resolution image synthesis with latent diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.499159Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 106628ac-2c34-44cc-ba96-daba79e622f4 · outbound

This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.509039Z

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Observation 81597094-1922-4877-a337-8c554a54b086 · outbound

This paper cites Pho- torealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Pho- torealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.525712Z

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Observation dda669b3-02cc-47c5-ab6d-a944ab2bde69 · outbound

This paper cites Improved techniques for training gans.Advances in neural information processing systems, 29.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Improved techniques for training gans.Advances in neural information processing systems, 29

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.521569Z

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Observation c2068ee6-80e5-402a-a52b-f3c5507aaca8 · outbound

This paper cites Prioritized Experience Replay.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Prioritized Experience Replay

Reference 30

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Observation 6165cc7c-45a4-42da-90e2-492049560020 · outbound

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

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Score-Based Generative Modeling through Stochastic Differential Equations

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:40:54.134052Z

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Observation d8816b85-1fad-4971-9aad-8572f0919cb6 · outbound

This paper cites From models to systems: A comprehensive survey of efficient multimodal learning.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training From models to systems: A comprehensive survey of efficient multimodal learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.486061Z

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Observation e863cfd2-a334-4be7-b314-bd80edd6927c · outbound

This paper cites A survey on curriculum learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):4555–4576.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training A survey on curriculum learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):4555–4576

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.517305Z

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Observation 6d2c070a-afe5-4db2-a756-9a782a1c04f4 · outbound

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

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.123850Z

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Observation 1858fbde-6a22-45b5-a623-765fde2ab791 · outbound

This paper cites Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.114661Z

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Observation 5779928e-c018-4ed1-b6a3-2a92ce579269 · outbound

This paper cites Fasterdit: Towards faster diffusion transformers training with- out architecture modification.Advances in Neural Informa- tion Processing Systems, 37:56166–56189.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Fasterdit: Towards faster diffusion transformers training with- out architecture modification.Advances in Neural Informa- tion Processing Systems, 37:56166–56189

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:00:55.496873Z

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Observation 6a515c21-97f6-4a82-ab60-6cc0ea2b15a5 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:09:37.504223Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b2adf24-8812-4ff2-b41e-dccb7770bff9 · outbound

This paper cites Fast Training of Diffusion Models with Masked Transformers.

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training Fast Training of Diffusion Models with Masked Transformers

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:40:54.141984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

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