Paper Citation Record · LEDGER

Optimizing DDPM Sampling with Shortcut Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2301.13362.

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

pith.paper-citation-record.v1
2301.13362 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:29:12.102481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.060142Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 54e96430-5753-4d17-8d7f-b67761e4273b · inbound

Training Diffusion Models with Reinforcement Learning cites this paper.

Training Diffusion Models with Reinforcement Learning Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:31.002213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f64c0a8b-9824-4093-ade5-fc045b372b82 · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:48:14.864965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e0fa41b-a1e7-49e7-9910-ac1c14611548 · inbound

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning cites this paper.

Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:12.102481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc40519e-4f1a-4efb-94b9-585c908972ff · inbound

Text2Stereo: Repurposing Stable Diffusion for Stereo Generation with Consistency Rewards cites this paper.

Text2Stereo: Repurposing Stable Diffusion for Stereo Generation with Consistency Rewards Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:11.346120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcc7767-544d-4831-bc52-de7205cd323a · inbound

MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE cites this paper.

MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:27:50.075708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a0e6021-ae7c-488e-988e-ff109e9d57f1 · inbound

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning cites this paper.

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T17:21:18.015193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e48e195f-45f6-486e-89d3-81e54981447b · inbound

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference cites this paper.

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T22:58:08.774404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad59cff1-374c-43b4-9c84-de1300df5098 · inbound

Seeing What Matters: Visual Preference Policy Optimization for Visual Generation cites this paper.

Seeing What Matters: Visual Preference Policy Optimization for Visual Generation Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:44:18.980505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 472c39ae-af90-455c-a52e-acbb8fdb9cdd · inbound

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards cites this paper.

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:51:29.354176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43ae5cd6-3dfb-46d5-833f-3cbb181c1742 · inbound

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach cites this paper.

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:22:26.376149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0fd16e-56e0-4831-9c48-b58986a44b68 · inbound

Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation cites this paper.

Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:03.306803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c77dacb-1f03-4614-b528-441238e14771 · inbound

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think cites this paper.

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:11.408796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f8d56c2-75b2-4c63-99d6-4bf203b324f8 · inbound

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline cites this paper.

Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:10.767687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a82529a-8e5a-4583-9b5c-d53b371c843f · inbound

Embedding-perturbed Exploration Preference Optimization for Flow Models cites this paper.

Embedding-perturbed Exploration Preference Optimization for Flow Models Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:38:52.956549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b73b15ec-928b-4104-b8ba-5e76bc6a4620 · inbound

NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control cites this paper.

NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T09:44:05.623849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fae46b3e-80c0-46d6-b3ad-ccff0b70fbd9 · inbound

NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control cites this paper.

NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T16:17:15.281961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c26cfb-e6cd-4480-afe5-dc0b361c884d · inbound

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning cites this paper.

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.061892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72e700a2-e01e-4f6a-9b16-7b96f504f8c6 · inbound

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning cites this paper.

Curvature-Adaptive Consistency Flow Matching: Autonomous Trajectory Optimization via Reinforcement Learning Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T10:36:51.005229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd0a2aa-1b39-46ee-a9bc-b5a1f8d2fe93 · inbound

PAPA: Online Personalized Active Preference Alignment cites this paper.

PAPA: Online Personalized Active Preference Alignment Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.231301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b71b9d44-1528-404e-8a2e-6598c7adcf4a · inbound

Optimizing Visual Generative Models via Distribution-wise Rewards cites this paper.

Optimizing Visual Generative Models via Distribution-wise Rewards Optimizing DDPM Sampling with Shortcut Fine-Tuning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.776342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.