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Paper Citation Record · LEDGER

Gotta Go Fast When Generating Data with Score-Based Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2105.14080.

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

pith.paper-citation-record.v1
2105.14080 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:33:54.008454Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:51.960524Z

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Outbound references

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Pith citing papers

Observation 63b3f39e-ff6c-48d3-b4e2-8404453974dc · inbound

Progressive Distillation for Fast Sampling of Diffusion Models cites this paper.

Progressive Distillation for Fast Sampling of Diffusion Models Gotta Go Fast When Generating Data with Score-Based Models

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T09:37:44.616410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 25f8cd41-4489-4356-b95d-a9bb75a4e088 · inbound

Elucidating the Design Space of Diffusion-Based Generative Models cites this paper.

Elucidating the Design Space of Diffusion-Based Generative Models Gotta Go Fast When Generating Data with Score-Based Models

Reference 24

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arxiv_id, observed 2026-05-14T17:46:53.305221Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 71d4462d-695a-440d-bb3c-ec97ad51fa67 · inbound

Diffusion Posterior Sampling for General Noisy Inverse Problems cites this paper.

Diffusion Posterior Sampling for General Noisy Inverse Problems Gotta Go Fast When Generating Data with Score-Based Models

Reference 24

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arxiv_id, observed 2026-05-13T00:54:40.052460Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 287b0286-385c-47fc-a025-a3f203d96d26 · inbound

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

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Gotta Go Fast When Generating Data with Score-Based Models

Reference 3

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arxiv_id, observed 2026-05-16T07:54:11.827176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8af929df-7164-44a6-8c4e-3b3df14bda11 · inbound

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

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference Gotta Go Fast When Generating Data with Score-Based Models

Reference 63

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arxiv_id, observed 2026-05-13T04:15:54.821882Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 15958b2e-7c26-48d1-8aba-8f8370a19cc7 · inbound

Improved DDIM Sampling with Moment Matching Gaussian Mixtures cites this paper.

Improved DDIM Sampling with Moment Matching Gaussian Mixtures Gotta Go Fast When Generating Data with Score-Based Models

Reference 7

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arxiv_id, observed 2026-05-24T05:36:00.855863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b0c478bd-05ab-498b-8085-407ddda240ff · inbound

A Diffusion Model Translator for Efficient Image-to-Image Translation cites this paper.

A Diffusion Model Translator for Efficient Image-to-Image Translation Gotta Go Fast When Generating Data with Score-Based Models

Reference 24

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Unavailable: canonical work link unavailable.

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Observation ea71d294-4a7c-4f99-8fce-fc56cbc8ad6e · inbound

Distributional Diffusion Models with Scoring Rules cites this paper.

Distributional Diffusion Models with Scoring Rules Gotta Go Fast When Generating Data with Score-Based Models

Reference 35

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Observation 7a665a7f-d72a-4980-9830-cbceee16ac2a · inbound

Fast Video Generation with Sliding Tile Attention cites this paper.

Fast Video Generation with Sliding Tile Attention Gotta Go Fast When Generating Data with Score-Based Models

Reference 16

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Observation 0d4ec224-1f2a-4f74-8e5e-9f7c7a4ad822 · inbound

Efficient Diffusion Models: A Survey cites this paper.

Efficient Diffusion Models: A Survey Gotta Go Fast When Generating Data with Score-Based Models

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 37bb6911-78d7-48bc-9500-6779e03a60f6 · inbound

Single-Step Consistent Diffusion Samplers cites this paper.

Single-Step Consistent Diffusion Samplers Gotta Go Fast When Generating Data with Score-Based Models

Reference 24

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Unavailable: canonical work link unavailable.

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Observation b17364bc-db7e-4d7a-92be-305aa53cc588 · inbound

Diffusion and Flow Matching Models for Tabular Data: A Survey cites this paper.

Diffusion and Flow Matching Models for Tabular Data: A Survey Gotta Go Fast When Generating Data with Score-Based Models

Reference 146

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arxiv_id, observed 2026-05-25T08:05:31.286750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fa798364-cd0b-49a1-8d8a-22181337f3fe · inbound

Compositional amortized inference for large-scale hierarchical Bayesian models cites this paper.

Compositional amortized inference for large-scale hierarchical Bayesian models Gotta Go Fast When Generating Data with Score-Based Models

Reference 6

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arxiv_id, observed 2026-05-22T14:24:53.575398Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4caf1232-c151-4862-a730-ebefb57e24f1 · inbound

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin cites this paper.

Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin Gotta Go Fast When Generating Data with Score-Based Models

Reference 35

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Observation f9fc0a14-bb96-4366-954c-107ff7ac6c54 · inbound

Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation cites this paper.

Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation Gotta Go Fast When Generating Data with Score-Based Models

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 30e11d39-7f75-4005-a830-cc8cecfe5a0f · inbound

Faster Diffusion Models via Higher-Order Approximation cites this paper.

Faster Diffusion Models via Higher-Order Approximation Gotta Go Fast When Generating Data with Score-Based Models

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8bb039e3-e5b1-4ce2-92ac-0b1afdd923a6 · inbound

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Gotta Go Fast When Generating Data with Score-Based Models

Reference 51

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Unavailable: canonical work link unavailable.

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Observation aa523b67-c670-48f7-9ed9-26a1697ed6a4 · inbound

Lipschitz-Guided Design of Interpolation Schedules in Generative Models cites this paper.

Lipschitz-Guided Design of Interpolation Schedules in Generative Models Gotta Go Fast When Generating Data with Score-Based Models

Reference 22

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verified exact
arxiv_id, observed 2026-05-21T21:54:22.887801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 342e8a78-c4eb-4f66-bc3e-fc8855792302 · inbound

Scale-Adaptive Generative Flows for Multiscale Scientific Data cites this paper.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Gotta Go Fast When Generating Data with Score-Based Models

Reference 27

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Observation 73951d15-b92b-4f44-bb78-fbeb8496b247 · inbound

Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization cites this paper.

Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization Gotta Go Fast When Generating Data with Score-Based Models

Reference 4

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arxiv_id, observed 2026-07-02T16:37:09.547762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 88032ba2-0f90-40b3-8127-24bc21f2cc8d · inbound

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation cites this paper.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Gotta Go Fast When Generating Data with Score-Based Models

Reference 7

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arxiv_id, observed 2026-07-04T12:59:51.962526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1ff57743-505b-4d3c-8284-f1ade48572d6 · inbound

OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models cites this paper.

OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models Gotta Go Fast When Generating Data with Score-Based Models

Reference 16

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arxiv_id, observed 2026-07-01T09:45:39.559961Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f799e3df-36c8-4238-868d-b57c6739a973 · inbound

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

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Gotta Go Fast When Generating Data with Score-Based Models

Reference 103

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arxiv_id, observed 2026-07-01T10:05:41.447396Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cc5b0230-06e4-4f61-a832-a076f5a0b548 · inbound

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

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches Gotta Go Fast When Generating Data with Score-Based Models

Reference 103

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arxiv_id, observed 2026-07-03T22:18:59.593225Z

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Observation f39da7cc-218b-4236-adb8-105a71f45413 · inbound

Asymptotic Preservation and Uniform Accuracy of Diffusion and Flow-Matching Samplers cites this paper.

Asymptotic Preservation and Uniform Accuracy of Diffusion and Flow-Matching Samplers Gotta Go Fast When Generating Data with Score-Based Models

Reference 31

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Observation 1728fad2-6396-4b5a-98c3-f82b725b5e61 · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Gotta Go Fast When Generating Data with Score-Based Models

Reference 185

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Observation 4ef1529f-c861-4f83-bbe2-edd74024f8d8 · inbound

Hierarchical Bayesian inference with compositional score modeling for stellar streams cites this paper.

Hierarchical Bayesian inference with compositional score modeling for stellar streams Gotta Go Fast When Generating Data with Score-Based Models

Reference 34

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Observation e4e64154-8f1d-4383-8b41-a801bf3b5aa9 · inbound

Amortized Moment Matching for Visual Generation cites this paper.

Amortized Moment Matching for Visual Generation Gotta Go Fast When Generating Data with Score-Based Models

Reference 56

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