Paper Citation Record · LEDGER

Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2406.04314.

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

pith.paper-citation-record.v1
2406.04314 v3

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 2026-08-17T06:30:58.91139+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:23:49.994335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:38.330848Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation c77e5e8a-10a2-4e8d-ad7e-01794de62aae · inbound

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation cites this paper.

Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:54:02.419272Z

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Unavailable: canonical work link unavailable.

Observation 69395d4b-3ae2-4f8f-8009-49bc795e32c9 · inbound

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward cites this paper.

Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:58:37.860285Z

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Observation 42cd921c-f1a5-4cb0-8719-2f6b19bc37c3 · inbound

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling cites this paper.

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:07:10.220766Z

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Unavailable: canonical work link unavailable.

Observation d832fc1c-2925-4264-929b-4cfb1590dae3 · inbound

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation cites this paper.

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T12:29:09.540795Z

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Observation 10994389-e781-44da-9703-e15bf6d91809 · inbound

Improving Video Generation with Human Feedback cites this paper.

Improving Video Generation with Human Feedback Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:30:02.732151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ff31df5-0330-4e06-81aa-130ba46954b0 · inbound

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking cites this paper.

Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T18:55:14.721267Z

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Observation 46008356-5e90-4b3f-92b1-4650c19aa5da · inbound

BalancedDPO: Adaptive Multi-Metric Alignment cites this paper.

BalancedDPO: Adaptive Multi-Metric Alignment Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:42:16.586536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e61a23bd-3300-43be-a068-047ebb745428 · inbound

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization cites this paper.

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:23:49.994335Z

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Unavailable: canonical work link unavailable.

Observation 8701c302-a574-4a62-be56-481ec6092fd8 · inbound

Flow-GRPO: Training Flow Matching Models via Online RL cites this paper.

Flow-GRPO: Training Flow Matching Models via Online RL Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:45:16.971344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22a8705e-4e9f-4749-a376-3564740d0eea · inbound

DanceGRPO: Unleashing GRPO on Visual Generation cites this paper.

DanceGRPO: Unleashing GRPO on Visual Generation Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:28:28.248699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb14da43-0d95-488c-9015-fa9e59c6b20a · inbound

Towards Self-Improvement of Diffusion Models via Group Preference Optimization cites this paper.

Towards Self-Improvement of Diffusion Models via Group Preference Optimization Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:30.017303Z

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Unavailable: canonical work link unavailable.

Observation 77b3bdfb-1759-4933-b8d6-8468d7b8d193 · inbound

Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models cites this paper.

Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:19.895409Z

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Observation 38dbfa4d-b793-48dc-a7c5-21f504a0b8cd · inbound

Scaling Image and Video Generation via Test-Time Evolutionary Search cites this paper.

Scaling Image and Video Generation via Test-Time Evolutionary Search Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:45.309170Z

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Observation 7ddc2152-916d-4b1e-b35e-103cb7023a17 · inbound

CoCA: Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning cites this paper.

CoCA: Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:26.144841Z

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Observation c9b8effa-4baa-4c73-a76e-2eaec840d3e6 · inbound

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences cites this paper.

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 1926

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:05.411402Z

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Observation 5c4bb27f-0cfe-4b52-9382-bcb7a4776523 · inbound

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models cites this paper.

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:40.253118Z

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Observation 04fd1a4d-7037-4407-a05a-267e226ce8c3 · inbound

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment cites this paper.

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:00.600957Z

Source-reported events for the cited work

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Observation 7b4eefa4-3d83-4a02-bd26-529ca2228b3a · inbound

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning cites this paper.

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:38.396893Z

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Unavailable: canonical work link unavailable.

Observation 5ee3f4d7-01c7-4f6d-a7d5-70ed869f45d7 · inbound

Fake it till You Make it: Reward Modeling as Discriminative Prediction cites this paper.

Fake it till You Make it: Reward Modeling as Discriminative Prediction Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:30:41.767912Z

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Unavailable: canonical work link unavailable.

Observation ab1c7732-9397-4f3f-8d79-0f73a6069d34 · inbound

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models cites this paper.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:45.840939Z

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Unavailable: canonical work link unavailable.

Observation 6649138f-042a-4dc8-9a84-75eda51b6484 · inbound

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again cites this paper.

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T12:10:08.345491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f277eed4-bd71-49b1-b5b2-b9c8abba75c7 · inbound

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning cites this paper.

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T11:32:41.949449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3481ddd6-cc35-43e0-9868-f0e26542ff32 · inbound

FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation cites this paper.

FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T20:06:47.388338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3f21ad-9081-4c4f-b264-8e22dd71db05 · inbound

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance cites this paper.

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T14:42:22.280733Z

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Unavailable: canonical work link unavailable.

Observation 5cc7a5a7-ad25-4918-8313-ab7ea734846f · inbound

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium cites this paper.

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:06.868203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b0eff0b-43ac-43ac-ab1c-0133c052b09e · inbound

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs cites this paper.

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:11:15.534956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c77785a1-63fa-4b32-874d-9484b904a438 · inbound

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? cites this paper.

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:48:57.326419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 440fc27a-7370-4ef9-83a2-1ef7205665ef · inbound

Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training cites this paper.

Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:38.332570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.