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Paper Citation Record · LEDGER

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2303.04248.

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

pith.paper-citation-record.v1
2303.04248 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:58:26.529704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:18:59.564338Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eff2431b-ed2c-4603-970a-8711e6c78bf9 · inbound

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

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2

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arxiv_id, observed 2026-05-10T15:22:03.555006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5ad19db8-5cf2-45fd-8fe7-e315be5f5863 · inbound

Improved Techniques for Training Consistency Models cites this paper.

Improved Techniques for Training Consistency Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 1

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arxiv_id, observed 2026-05-21T05:04:10.617550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5971fca8-fd46-42cc-9d4d-25d50048a655 · inbound

One Step Diffusion via Shortcut Models cites this paper.

One Step Diffusion via Shortcut Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2

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arxiv_id, observed 2026-05-15T06:40:55.430483Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 78ce272a-c56e-478a-8cda-21e52796ae82 · inbound

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions cites this paper.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2017

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no resolver link, observed 2026-08-07T20:58:26.529704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:58:26.529704Z digest=sha256:c9eb97ef8d8a6e9a483671dc9167c3eb5acb7040f37bf5f08ddb7061f02f454f

Observation 41f002e9-edf5-4c97-b344-b5f0e2dd1bf8 · inbound

Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging cites this paper.

Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 1

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verified exact
arxiv_id, observed 2026-05-22T13:26:35.776328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:24:57.168515Z digest=sha256:d7aaf38af646409a09c7b8e28acd42c69fede0a79e2251d60470d37835a094ba

Observation 98e767a4-1908-48f0-9ec6-5fd9b18c5777 · inbound

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation cites this paper.

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:35.653673Z digest=sha256:6f499a9d15d709cb9628e332e3975d62d64215d1d2de1ccca1b8588b9699569f

Observation 1ca1f217-a8b9-47ad-ba5b-c1e294e27969 · inbound

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation cites this paper.

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 1

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no resolver link, observed 2026-08-07T11:14:04.606195Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:04.606195Z digest=sha256:a1ec99c2062c4eaa4ac88915cf478b1f8e7f65b043073a6ab4d84b7029217700

Observation 28d8f713-ed57-4d39-9ba2-5158158d729b · inbound

DiffPR: Diffusion-Based Phase Reconstruction via Frequency-Decoupled Learning cites this paper.

DiffPR: Diffusion-Based Phase Reconstruction via Frequency-Decoupled Learning TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 1982

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source=pdf_text observed=2026-08-07T04:19:43.073649Z digest=sha256:a8b2e94723f89e45127c34232189f6d3c65a68ef70dd268bde4fd6dfe45c9a92

Observation ee012796-7f9d-4ddd-9af9-48cd1a16939f · inbound

CoVAE: Consistency Training of Variational Autoencoders cites this paper.

CoVAE: Consistency Training of Variational Autoencoders TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 8

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source=arxiv_source observed=2026-08-06T18:14:09.645282Z digest=sha256:60c45997e9712ca36c8a82dce56b94855fa1b85d1caaeb31a043217dc7a41046

Observation a4f25963-5e60-4ac3-b05d-8ecbb7e5f783 · inbound

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models cites this paper.

Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 1

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no resolver link, observed 2026-08-06T15:53:59.896693Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:53:59.896693Z digest=sha256:f20759c296d1bb98866c36373ab261604f1a15b747f93b137582a6b6f4dbe90a

Observation 412f71b5-977f-48ef-8196-f906e4c77ad8 · inbound

Understanding, Accelerating, and Improving MeanFlow Training cites this paper.

Understanding, Accelerating, and Improving MeanFlow Training TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 5

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no resolver link, observed 2026-08-03T20:39:16.030278Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:39:16.030278Z digest=sha256:639dd36015f08d99c3dd12d496eabb56005aa24e1b99a9da2304c3c95b75d281

Observation d42206cd-7a12-402e-941f-144564a4f58e · inbound

B\'ezierFlow: Learning B\'ezier Stochastic Interpolant Schedulers for Few-Step Generation cites this paper.

B\'ezierFlow: Learning B\'ezier Stochastic Interpolant Schedulers for Few-Step Generation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-16T21:53:35.598292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4c7db6eb-62d3-489d-9a9d-208c9354c73f · inbound

IDLM: Inverse-distilled Diffusion Language Models cites this paper.

IDLM: Inverse-distilled Diffusion Language Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2021

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no resolver link, observed 2026-08-02T21:50:41.944324Z

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Unavailable: canonical work link unavailable.

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Observation be8d4604-cadf-45a1-9407-ea7cd0e9a22b · inbound

MixFlow: Mixed Source Distributions Improve Rectified Flows cites this paper.

MixFlow: Mixed Source Distributions Improve Rectified Flows TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-11T07:30:59.911521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:09:12.425865Z digest=sha256:4bb5e6eb44a4d87ea3a0018d8f79ecdd7868a1cea7d131c4b8be31d72fadb630

Observation f0869ee0-2c34-4c05-92fa-49e109c19c8c · inbound

Efficient Diffusion Distillation via Embedding Loss cites this paper.

Efficient Diffusion Distillation via Embedding Loss TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 56

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arxiv_id, observed 2026-05-11T19:01:19.481544Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:49:42.621881Z digest=sha256:914b6e82fed5e8f8094c239413f68eead71b929e9c63abdab9e11e44e6975dcc

Observation 77730290-436a-49d5-85c7-c7ce40fd5531 · inbound

Midpoint Generative Models cites this paper.

Midpoint Generative Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 25

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arxiv_id, observed 2026-06-29T08:53:16.224022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 63385649-6104-4c7f-9fa5-6119142b0f1c · inbound

Accelerating Speculative Diffusions via Block Verification cites this paper.

Accelerating Speculative Diffusions via Block Verification TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 5

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arxiv_id, observed 2026-07-03T14:38:29.073992Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T07:00:15.826184Z digest=sha256:80a6bacfa8d4bdf22242293b980d356a88c49eb9e101e032565a3fc69a09b9f7

Observation 6e9dd898-291d-40c8-b5f2-840b48b7b781 · inbound

FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On cites this paper.

FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2

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metadata mismatch
arxiv_id, observed 2026-06-30T07:44:21.521098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T07:43:27.203514Z digest=sha256:ebaeff9a98cb3255c1051002fdf632e0b07bd4cef18abf06e880615a02a7da45

Observation 801c03fe-804b-45b9-9904-c2a847dbade2 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 102

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arxiv_id, observed 2026-07-01T10:05:41.447087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T05:49:20.689248Z digest=sha256:8e9192040a89bb7cd9e467fd4e2a629886cc54e6d0ef0d21af91e59227db5cee

Observation fa36518e-7a43-42f0-818e-724cb9595fd7 · inbound

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches cites this paper.

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 102

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arxiv_id, observed 2026-07-03T22:18:59.565663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T22:14:30.734906Z digest=sha256:c3b43c6f690ebccea295e3e3741f2737ac84e3c957b6ecad8292ef532093f3d7

Observation 403be5a9-de5f-4f3b-9ac9-42b4900706f0 · inbound

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution cites this paper.

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 32

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no resolver link, observed 2026-08-01T22:34:36.636935Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:34:36.636935Z digest=sha256:f84f7a34ba67612ff3052c5e1df11ec6aea33128b3b0e9300fe2c9dbb8940f24

Observation b45e6eb5-63d6-47e2-b7ba-fa4ec9b659e5 · inbound

Amortized Moment Matching for Visual Generation cites this paper.

Amortized Moment Matching for Visual Generation TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 73

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source=arxiv_source observed=2026-07-30T18:58:28.089930Z digest=sha256:cb9abcb5bdc5945c2d3c6ed0c951bf7612d177c61c6e0f95b1091623cfcc43dc