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Paper Citation Record · LEDGER

On the Importance of Noise Scheduling for Diffusion Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2301.10972.

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

pith.paper-citation-record.v1
2301.10972 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:00.136989Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T18:04:00.522746Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation feb62fa8-d326-46ce-aa4b-65560d38d27b · inbound

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model cites this paper.

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model On the Importance of Noise Scheduling for Diffusion Models

Reference 2

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arxiv_id, observed 2026-05-16T22:06:48.418450Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T22:06:48.384329Z digest=sha256:dad182dd34993cb5c9c1581c74683e304d6e57193d0ea17dcb18c9e0232f5b76

Observation 0b97c23e-7c0e-41a4-b338-d17763dd4934 · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks On the Importance of Noise Scheduling for Diffusion Models

Reference 3

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source=pdf_text observed=2026-08-12T18:53:47.826204Z digest=sha256:b3c860f8ea99879157cbc2c5d117d12abaf89c1614d50f5fadce6cf1b6a19e16

Observation 98d40e71-dce7-478d-b8e4-bd683fd65328 · inbound

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model cites this paper.

DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model On the Importance of Noise Scheduling for Diffusion Models

Reference 6

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source=pdf_text observed=2026-08-12T12:24:55.216805Z digest=sha256:34c9ea6b5fbc53f422fe433832cd0d4d1efc539c50344cd25b8921103bc26c64

Observation b207eb70-84dd-4afc-ad05-6dcb9916dc1a · inbound

Mixed-State Quantum Denoising Diffusion Probabilistic Model cites this paper.

Mixed-State Quantum Denoising Diffusion Probabilistic Model On the Importance of Noise Scheduling for Diffusion Models

Reference 44

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source=pdf_text observed=2026-08-12T12:01:32.600061Z digest=sha256:60d7af1854810fafb666e4f4905ab439641429955476eef0a7be2732d2a86787

Observation e5a387af-de49-4c5b-b64f-a7e83a5002dd · inbound

A solvable generative model with a linear, one-step denoiser cites this paper.

A solvable generative model with a linear, one-step denoiser On the Importance of Noise Scheduling for Diffusion Models

Reference 7

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source=pdf_text observed=2026-08-12T12:01:21.784199Z digest=sha256:4acfc91a8cb2abc1ea1978df37a5f78da00446af0f8a5fbeef7bcbbc6bd8560c

Observation 61e65d59-bd28-4fef-adbf-a883bfe35f51 · inbound

Enhancing Sample Generation of Diffusion Models using Noise Level Correction cites this paper.

Enhancing Sample Generation of Diffusion Models using Noise Level Correction On the Importance of Noise Scheduling for Diffusion Models

Reference 2024

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source=pdf_text observed=2026-08-11T20:45:34.400652Z digest=sha256:e9d5a99bc7cfbb2d296b277837758885da5f1fcf2c3af1f66a1e6f9c2eca1396

Observation bcb4c548-b814-4495-9986-9de1d2aa349f · inbound

3D-Consistent Image Inpainting with Diffusion Models cites this paper.

3D-Consistent Image Inpainting with Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 4

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source=pdf_text observed=2026-08-11T20:18:43.305461Z digest=sha256:ec39a8fbf602f9e68278e50591679e4d5be5ac9c580a38a83386d933b2061077

Observation b16fbc1c-6d38-4af9-a44e-840693e39ef1 · inbound

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation cites this paper.

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation On the Importance of Noise Scheduling for Diffusion Models

Reference 10

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source=pdf_text observed=2026-08-11T18:18:12.862918Z digest=sha256:56410ff1054ba21d8dee8c8465390c0426a2369b08f91ce034c2abe2498d2829

Observation 99d99a69-1633-4d4c-a131-8c0a580e4a7d · inbound

AsyncDSB: Schedule-Asynchronous Diffusion Schr\"odinger Bridge for Image Inpainting cites this paper.

AsyncDSB: Schedule-Asynchronous Diffusion Schr\"odinger Bridge for Image Inpainting On the Importance of Noise Scheduling for Diffusion Models

Reference 8

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source=arxiv_source observed=2026-08-11T18:14:34.982579Z digest=sha256:524cd0503503695abae36be94db543cc90181bc5f92f709e4dd6fb02f3ed5299

Observation 2b9eb0c4-07be-4626-9a91-4e3e7d96b49b · inbound

MSC: Multi-Scale Spatio-Temporal Causal Attention for Autoregressive Video Diffusion cites this paper.

MSC: Multi-Scale Spatio-Temporal Causal Attention for Autoregressive Video Diffusion On the Importance of Noise Scheduling for Diffusion Models

Reference 5

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source=pdf_text observed=2026-08-11T16:45:12.671330Z digest=sha256:3c6d52762bd90a241707fe1de27bd2f7613435b32409d6eeb98c349cb8960be5

Observation b5a0119d-6323-4acc-af23-6ab7f5203d03 · inbound

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes cites this paper.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes On the Importance of Noise Scheduling for Diffusion Models

Reference 4

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source=pdf_text observed=2026-08-11T14:58:48.341462Z digest=sha256:f2d3640fc644b61e2f54fa28a0277911b7382210380089767f3edf77fefe1229

Observation d23cdeee-dccc-42e5-91c7-345a749c17a9 · inbound

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation cites this paper.

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation On the Importance of Noise Scheduling for Diffusion Models

Reference 2024

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source=pdf_text observed=2026-08-11T14:11:00.529321Z digest=sha256:679442d59f7b42fcd0bcae21558bef42c9dc5a46d17c85dc863792556fe1f7cd

Observation 3526aca8-b0f8-4071-ba9b-ba90ade445ff · inbound

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission cites this paper.

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission On the Importance of Noise Scheduling for Diffusion Models

Reference 40

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source=pdf_text observed=2026-08-10T22:41:50.476658Z digest=sha256:7052d6c9afe4db3c212803aa4296d16a94b6bd084810ea381269256b0cad3540

Observation 610c0e48-b34e-48b6-be5f-9aab5e2955e9 · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI On the Importance of Noise Scheduling for Diffusion Models

Reference 24

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arxiv_id, observed 2026-05-10T23:38:45.368038Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:fdfa3a5df28dcddb97031a732082a12a599b61406a7eeca0e49f87d6ab4c6362

Observation 1d079127-74fa-4f5a-986d-a175d64d090a · inbound

SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images cites this paper.

SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images On the Importance of Noise Scheduling for Diffusion Models

Reference 7

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source=pdf_text observed=2026-08-10T21:31:40.903222Z digest=sha256:70b2f51f4bee8c8c450a494d4e0186afdd59ae47f9ef570e7ff96c1d3582ffe1

Observation 145044e5-8078-4acb-9d1a-bc66fc1393b8 · inbound

Generative diffusion model with inverse renormalization group flows cites this paper.

Generative diffusion model with inverse renormalization group flows On the Importance of Noise Scheduling for Diffusion Models

Reference 37

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source=arxiv_source observed=2026-08-10T20:18:46.774132Z digest=sha256:1fe1d094dd006e66ce9d5e6b2ca756a469d21f6046aff29ef134f082be81f224

Observation e859a5d1-ce54-47da-96af-7ad55d02d452 · inbound

High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.

High-Order Matching for One-Step Shortcut Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 1994

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source=pdf_text observed=2026-08-09T18:10:52.961488Z digest=sha256:29d8f3ad013061a94a526db90c7a99cba8de41eba08f63e896b62d05c4b48c3f

Observation 5eed17d4-cfec-42fc-9d1b-738cad74d319 · inbound

ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion cites this paper.

ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion On the Importance of Noise Scheduling for Diffusion Models

Reference 13

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source=pdf_text observed=2026-08-09T13:04:50.546772Z digest=sha256:0fcae595ad26be7d47f64ce8eba065c6df1891fae67414537aad6ab9a88f52da

Observation 6f960809-978e-4af1-8aa3-233748898f98 · inbound

A Comprehensive Review on Noise Control of Diffusion Model cites this paper.

A Comprehensive Review on Noise Control of Diffusion Model On the Importance of Noise Scheduling for Diffusion Models

Reference 18

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source=pdf_text observed=2026-08-08T21:59:05.485246Z digest=sha256:edc4597dc5baa5b6f09acc676d56efbf2497c91bd781a64dfcd5f497be207769

Observation 1ef039a6-a8aa-4e76-9955-926481e5f4a8 · inbound

History-Guided Video Diffusion cites this paper.

History-Guided Video Diffusion On the Importance of Noise Scheduling for Diffusion Models

Reference 9

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arxiv_id, observed 2026-05-16T12:00:14.712244Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-16T12:00:14.672729Z digest=sha256:d20bcfce9f6de288281ac7ba45f2a88a7e5a556dad9395c7e265bae186c9dfb1

Observation 06277f73-2f67-452b-ab90-b4ee42161db0 · inbound

Pippo: High-Resolution Multi-View Humans from a Single Image cites this paper.

Pippo: High-Resolution Multi-View Humans from a Single Image On the Importance of Noise Scheduling for Diffusion Models

Reference 10

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source=pdf_text observed=2026-08-08T11:39:18.220531Z digest=sha256:2c770abb82f989afe2b6061d49f0a6ccd7ee5dae52a7e65b5f98f94b0b63c69a

Observation ac36a447-91c1-4df3-94c7-b3435017f1ed · inbound

Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models cites this paper.

Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 36

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source=arxiv_source observed=2026-08-08T04:39:22.092846Z digest=sha256:9cd5a33cdcd2d825a7e1e2a710fbd5729225131f0994bc0dd19e31c7207bd8d8

Observation d2d1cd3e-5ee0-40f6-a82c-8fd89034f1e4 · inbound

A First-order Generative Bilevel Optimization Framework for Diffusion Models cites this paper.

A First-order Generative Bilevel Optimization Framework for Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 6

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no resolver link, observed 2026-08-07T23:43:37.735189Z

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source=arxiv_source observed=2026-08-07T23:43:37.735189Z digest=sha256:ee5e80a5313ac585877b0b41698acc930bc254d8e5833845bc485e68d25564f5

Observation d5c1f7a4-beb0-4e03-bb6d-48374e018781 · inbound

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos cites this paper.

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos On the Importance of Noise Scheduling for Diffusion Models

Reference 10

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arxiv_id, observed 2026-05-22T19:55:05.070573Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T19:54:28.310854Z digest=sha256:324d2a737f43d4492c8646de3e09cb895d360f198ce086cd48eda8bae388d45c

Observation 19b75783-52da-4278-97d5-7c4bbfe9d072 · inbound

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models cites this paper.

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 26

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source=pdf_text observed=2026-08-15T23:09:00.136989Z digest=sha256:6551536f1e00902edc63bddd69b93090e224a93888442593677c05516d496f2b

Observation d64549ff-20be-4891-bede-bab01a19788a · inbound

SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation cites this paper.

SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation On the Importance of Noise Scheduling for Diffusion Models

Reference 8

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source=pdf_text observed=2026-08-15T20:50:22.213421Z digest=sha256:9bf0b1a3d668a59db821d6c3a24e19ec37a4b8c3699c2160e947f02ed5a38635

Observation 8ce90333-d12d-46da-87d2-da288fafad10 · inbound

Alternators With Noise Models cites this paper.

Alternators With Noise Models On the Importance of Noise Scheduling for Diffusion Models

Reference 7

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source=arxiv_source observed=2026-08-15T20:39:01.569905Z digest=sha256:f42ba94fe041fc4b480c00db93f7c0dd7ae2052da452435c1d51c919fe126f5c

Observation e2567bcb-3038-43f7-8e03-fd6bc408c68f · inbound

DiffER: Categorical Diffusion for Chemical Retrosynthesis cites this paper.

DiffER: Categorical Diffusion for Chemical Retrosynthesis On the Importance of Noise Scheduling for Diffusion Models

Reference 15

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source=pdf_text observed=2026-08-07T12:44:09.147850Z digest=sha256:6a74aecfd352b8d2c433d5970dddbb72baeedaa4d995ecaf6de364b8a09692bb

Observation 0d37f516-4750-4ca1-9301-967f6e209491 · inbound

NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models cites this paper.

NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 6

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source=pdf_text observed=2026-08-07T11:51:32.141743Z digest=sha256:e4361dfaf40c0d453a615991669c895217309c06d235deb5a658325c52a9c759

Observation 8b01cd1a-fce1-42ac-a399-db9778cbb11e · inbound

Beyond Blur: A Fluid Perspective on Generative Diffusion Models cites this paper.

Beyond Blur: A Fluid Perspective on Generative Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 5

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arxiv_id, observed 2026-05-19T08:17:10.940605Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T08:14:42.654017Z digest=sha256:556ead1b26a7df808cb16400b22513678f90de6e6cf54c49017657746e292006

Observation 8accde37-fc42-4872-8bf7-9a061805a7ec · inbound

A standard transformer and attention with linear biases for molecular conformer generation cites this paper.

A standard transformer and attention with linear biases for molecular conformer generation On the Importance of Noise Scheduling for Diffusion Models

Reference 6

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source=pdf_text observed=2026-08-15T18:29:58.553681Z digest=sha256:7c497ed686944105895750993b01d995e9c8af11b8476790b5b3da2f7634dadd

Observation 26d98100-a935-4290-9121-9ae40ffb8605 · inbound

Improving Multislice Electron Ptychography with a Generative Prior cites this paper.

Improving Multislice Electron Ptychography with a Generative Prior On the Importance of Noise Scheduling for Diffusion Models

Reference 4

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source=pdf_text observed=2026-08-15T18:24:51.264012Z digest=sha256:454b361746844422077f3cac5b76283ae0af59cf06db732b29c82bd4c749251d

Observation 375943c6-be97-4d0c-b731-3986784ea319 · inbound

Incorporating Pre-trained Diffusion Models in Solving the Schr\"odinger Bridge Problem cites this paper.

Incorporating Pre-trained Diffusion Models in Solving the Schr\"odinger Bridge Problem On the Importance of Noise Scheduling for Diffusion Models

Reference 5

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source=pdf_text observed=2026-08-05T16:41:03.341134Z digest=sha256:3dd98e8ff280af0b5f63a0ce1429d0bc05195d89ec744049a0e3b07225588931

Observation 9666a306-50c1-4b0d-9813-7fe14ffe877b · inbound

NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation cites this paper.

NoiseShift: Resolution-Aware Noise Recalibration for Better Low-Resolution Image Generation On the Importance of Noise Scheduling for Diffusion Models

Reference 4

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arxiv_id, observed 2026-05-21T21:44:22.954581Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T21:41:29.502472Z digest=sha256:86f259005eedf25407bbe45d2bc31bac99765cd43a3396fee9c11a9ad26f1ffd

Observation 71222710-f588-4aef-a23d-073e33cec4cc · inbound

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization cites this paper.

SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization On the Importance of Noise Scheduling for Diffusion Models

Reference 4

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no resolver link, observed 2026-08-04T11:25:33.852695Z

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source=pdf_text observed=2026-08-04T11:25:33.852695Z digest=sha256:b7be2f22d2a5f839fb379fbaee500b3489584cbb1799628fddafc24f1c43d879

Observation b2e3c0e0-06c0-4587-9278-38e3d2fc6054 · inbound

World Simulation with Video Foundation Models for Physical AI cites this paper.

World Simulation with Video Foundation Models for Physical AI On the Importance of Noise Scheduling for Diffusion Models

Reference 15

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arxiv_id, observed 2026-05-12T23:01:13.947275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T23:01:13.546110Z digest=sha256:e55ac115b1c93961726467cbda037e024f9765c5db8d63102867eddebefd9ac7

Observation 52508be5-c8ba-4946-9d36-0951af523ac3 · inbound

Back to Basics: Let Denoising Generative Models Denoise cites this paper.

Back to Basics: Let Denoising Generative Models Denoise On the Importance of Noise Scheduling for Diffusion Models

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T22:16:28.350378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T22:16:26.996599Z digest=sha256:27b0a7c5108f83b153559d2d49e16b0481bd7aa7c58d2064c6c74b627f91d1f1

Observation d7031c64-1827-49c9-97a3-7a4a7fb8921e · inbound

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers cites this paper.

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers On the Importance of Noise Scheduling for Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T15:35:13.540081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:35:13.540081Z digest=sha256:c001beabb847340b5db84ead07870700a15a0047ac6cb5009587b5220fe6ae52

Observation 48748107-7429-4c52-bd16-b9b0e5d1e793 · inbound

Is Monotonic Sampling Necessary in Diffusion Models? cites this paper.

Is Monotonic Sampling Necessary in Diffusion Models? On the Importance of Noise Scheduling for Diffusion Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:37:29.331843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T07:35:39.686782Z digest=sha256:cbb9ecd6fc2fe333e12449097f45a69c12774f48a6f146658179e60718ff5c94

Observation 3773f44b-653f-4f72-b7db-cfb5cb34256b · inbound

Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schr\"odinger Samplers cites this paper.

Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schr\"odinger Samplers On the Importance of Noise Scheduling for Diffusion Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:48:57.476233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T19:46:36.955669Z digest=sha256:9bb12f0cfe5e9924d6d563d65650b94eccd699d2422797b4413480548698cfe0

Observation 06291588-0bab-4846-8a8d-f6ee539c0426 · inbound

WavFlow: Audio Generation in Waveform Space cites this paper.

WavFlow: Audio Generation in Waveform Space On the Importance of Noise Scheduling for Diffusion Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:38:09.602797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T07:33:35.243337Z digest=sha256:2de8538e97d7b01488e61e507dd5192cc78fbaa7333c4911491c1ba3f12818fd

Observation 8db47675-6c31-4503-9886-b7cf1d0274ad · inbound

Generative Pseudo-Force Fields for Molecular Generation cites this paper.

Generative Pseudo-Force Fields for Molecular Generation On the Importance of Noise Scheduling for Diffusion Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:58:15.110958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T11:55:36.275835Z digest=sha256:b24f161f0a6e44a74b9eb4536e102e45bd4811cadc9703a00d449bcbdf61610a

Observation 67023ac4-11fc-4edb-81ec-11350d1703d4 · inbound

Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution cites this paper.

Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution On the Importance of Noise Scheduling for Diffusion Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:04:02.146652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T22:57:34.265472Z digest=sha256:f753a0fd27db024d00a144d378cbf6588d3cf78f83f1743449c649a746b7af83

Observation 45f9bd5b-b056-4fff-a1b4-fe1d47b823ae · inbound

WavTTS: Towards High-Quality Zero-Shot TTS via Direct Raw Waveform Modeling cites this paper.

WavTTS: Towards High-Quality Zero-Shot TTS via Direct Raw Waveform Modeling On the Importance of Noise Scheduling for Diffusion Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:16:39.809182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T08:18:42.002083Z digest=sha256:f93ea0c61ec462b819347428d84b8d44e7c75ab48cefaf86d603d6c667e8dde5

Observation edbf22ef-e2c1-4a7e-908f-29ac3bc129f4 · inbound

Class-frequency Guided Noise Schedule for Diffusion Models cites this paper.

Class-frequency Guided Noise Schedule for Diffusion Models On the Importance of Noise Scheduling for Diffusion Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T20:03:56.720421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T04:35:43.680865Z digest=sha256:e8797a0048918f26b9d361ee9a7bfe5df50ed6be116b7347d6266e30dca4483a

Observation cd4334f6-67f9-4aef-8834-18fdad19b943 · inbound

Steering Optimisation Trajectories in Diffusion Representation Learning cites this paper.

Steering Optimisation Trajectories in Diffusion Representation Learning On the Importance of Noise Scheduling for Diffusion Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-07T18:04:00.525703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-07T17:54:09.140773Z digest=sha256:bf213f181764776c3b17c40505f67bd451f1da30ec0d0ddf1c2f9efafe2fc930

Observation 1310f08a-a403-4fda-8526-7cb0e1c2cf51 · inbound

Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands cites this paper.

Detangled: A Framework for Creating, Editing, and Inferencing Feature Rich Hair Strands On the Importance of Noise Scheduling for Diffusion Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-14T15:23:41.787467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:23:41.787467Z digest=sha256:ea85549b744c71165e71d410c63e6ffae49c8a5c788233e57511b8bb90e3297d

Observation 94256687-78e5-4743-998d-8d467a0ed576 · inbound

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching cites this paper.

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching On the Importance of Noise Scheduling for Diffusion Models

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-01T11:10:14.313140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:10:14.313140Z digest=sha256:a19745ab2845908a5472f55dc70068dfca079fa2f67272f06e304b40d38a8e3c

Observation b68a0e41-ba66-4ae1-b522-548b27178d07 · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss On the Importance of Noise Scheduling for Diffusion Models

Reference 232

Resolution
unresolved
no resolver link, observed 2026-08-01T04:30:07.773554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:30:07.773554Z digest=sha256:546734bfb92ec7269eba365055644b73b9497bb1fac61df80a628559ae0f49bc

Observation 86478c92-20cb-489d-b5c2-840d232ece83 · inbound

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens cites this paper.

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens On the Importance of Noise Scheduling for Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T08:35:47.701433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:35:47.701433Z digest=sha256:7fab090d4db0d69d12b0bed0ef728c53e9255073c97c65c3f8c18bd272b7c117