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Paper Citation Record · LEDGER

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2502.09609.

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

pith.paper-citation-record.v1
2502.09609 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:58:26.744761Z

measured 16 of 16 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:36.707250Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:37:37.911402Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac756ec6-55d7-4500-b104-c7df39f23b67 · outbound

This paper cites an unresolved cited work.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:58:27.551874Z

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 cf4b2984-9f6f-4d18-b199-c3a723b64ee5 · outbound

This paper cites an unresolved cited work.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-07T20:58:27.608569Z

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 ee9267db-e24e-4ae9-bf1f-7893de910099 · outbound

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

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 5

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0d82486-18bf-4091-a42a-f6c30ccc8a07 · outbound

This paper cites A family of statistical symmetric divergences based on Jensen's inequality.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions A family of statistical symmetric divergences based on Jensen's inequality

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T20:58:26.561074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2f09cd1-a23d-4e0d-89b7-d4867403c08c · outbound

This paper cites EM Distillation for One-step Diffusion Models.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions EM Distillation for One-step Diffusion Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T20:58:26.566401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:58:26.566401Z digest=sha256:2bf0e271ba44414ce0b72ae1428d247ac665f590b56a40a558904e50b06ffaeb

Observation 9c69e73d-d415-43fa-8ced-f02f5bd953f3 · outbound

This paper cites an unresolved cited work.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:58:27.881564Z

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 7684469c-5ca4-4287-b633-3bb4e90e4aa9 · outbound

This paper cites Formulation.We take the following unified view in our definition of DPMs as inspired by (Kingma & Gao,.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Formulation.We take the following unified view in our definition of DPMs as inspired by (Kingma & Gao,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:58:27.847432Z

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 d0109971-2367-4992-a309-6445f7da760d · outbound

This paper cites We thus call the general divergence for α∈(0,1) the α-Le Cam distance.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions We thus call the general divergence for α∈(0,1) the α-Le Cam distance

Reference 47

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verified fuzzy
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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 60d2a0c0-7702-48b1-b2c8-c1e4889a7fe6 · outbound

This paper cites This process generates noise-image pairs, which are then used to further supervise the generator’s training.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions This process generates noise-image pairs, which are then used to further supervise the generator’s training

Reference 1956

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:58:27.715391Z

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.

source=pdf_text observed=2026-08-07T20:58:26.585906Z digest=sha256:94a99a9bc05e2855f6b9b5b4b0d74c74cb04b06f5640511b7de6b434445eab3b

Observation 2cc7d592-b300-4488-98b4-71309dc46187 · outbound

This paper cites Dhariwal, P.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Dhariwal, P

Reference 2009

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malformed identifier
arxiv_id_nonexistent, observed 2026-08-07T20:58:27.511046Z

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.

source=pdf_text observed=2026-08-07T20:58:26.537061Z digest=sha256:66061f0644ea7bc3122ccfe75e364d06bd53bc6b9bc2ec3db223b851726d0f37

Observation 9ebf1224-2a8d-4a62-9fdd-576c270d51c6 · outbound

This paper cites Several years later, Ho et al.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Several years later, Ho et al

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:58:27.864927Z

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.

source=pdf_text observed=2026-08-07T20:58:26.576423Z digest=sha256:f8d07016026bba5d95c8e5f38b8c45f932226e00b8223174f033ff0ae542ef7b

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

This paper cites TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2aff87c6-cbd7-418f-8006-b4f0b9e42b37 · outbound

This paper cites Karras, T., Aittala, M., Aila, T., and Laine, S.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Karras, T., Aittala, M., Aila, T., and Laine, S

Reference 2021

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T20:58:27.273643Z

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.

source=pdf_text observed=2026-08-07T20:58:26.542624Z digest=sha256:756b8cc1ed8f51bf3898f55bda43583f0be8a5fce4d5669e2d11d2ff81b8c2f5

Observation 0f8f5815-5a7c-4ec6-990e-058cc41c35fd · outbound

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

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T20:58:26.547809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:58:26.547809Z digest=sha256:66316b8a450d7fc809496ff9a7de70aee4e7e51e440b6bcf3c1d5fa978b5ef61

Observation f99a38ae-dc2f-4058-abe6-87e344235b1b · outbound

This paper cites Unlike distillation techniques, consistency models can also be trained from scratch.

Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unlike distillation techniques, consistency models can also be trained from scratch

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:58:27.628611Z

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.

source=pdf_text observed=2026-08-07T20:58:26.591468Z digest=sha256:7ce3e7ac4c028aec0d0cc836c00166d872dc82746ebaf5456d1075bbc9657efd

Pith citing papers

Observation 9fd09456-b7ef-4251-896b-ef3def34f634 · inbound

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis cites this paper.

Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions

Reference 16

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metadata mismatch
local_arxiv, observed 2026-08-06T14:37:37.916620Z

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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