Paper Citation Record · LEDGER

Diffusion Model Alignment Using Direct Preference Optimization

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2311.12908.

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

pith.paper-citation-record.v1
2311.12908 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:34.710431Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T02:25:55.896149Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 d0cce014-8d2e-41ce-ad5e-ba55dec556c8 · inbound

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis cites this paper.

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Diffusion Model Alignment Using Direct Preference Optimization

Reference 191

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:27:53.624782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 985d286e-bda1-4c57-81d3-b0dcdb611313 · inbound

Seed-TTS: A Family of High-Quality Versatile Speech Generation Models cites this paper.

Seed-TTS: A Family of High-Quality Versatile Speech Generation Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:26:37.380158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 985cc89e-da0d-48ab-9eea-ac61e42cc091 · inbound

VideoPhy: Evaluating Physical Commonsense for Video Generation cites this paper.

VideoPhy: Evaluating Physical Commonsense for Video Generation Diffusion Model Alignment Using Direct Preference Optimization

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:34:37.694145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 47df5f88-d8fa-4abf-bd93-f6f80394c194 · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Diffusion Model Alignment Using Direct Preference Optimization

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:48:15.024198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb1276ca-32c7-4723-80ce-0182569c3495 · inbound

TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization cites this paper.

TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization Diffusion Model Alignment Using Direct Preference Optimization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.710431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efc0ae7-d759-4fe7-b41a-a83990e3f85f · inbound

DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization cites this paper.

DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization Diffusion Model Alignment Using Direct Preference Optimization

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:52.646022Z

Source-reported events for the cited work

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Observation 704c23b7-ef44-4888-b9aa-92a3309cfb92 · inbound

CoDe: Blockwise Control for Denoising Diffusion Models cites this paper.

CoDe: Blockwise Control for Denoising Diffusion Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T17:10:17.196787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885ff9ee-a79b-46e3-b951-a01abe754781 · inbound

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment cites this paper.

YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment Diffusion Model Alignment Using Direct Preference Optimization

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-09T04:46:25.439434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09c1c60-9b35-40c4-9041-817c242cc27d · inbound

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation cites this paper.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation Diffusion Model Alignment Using Direct Preference Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T20:07:09.437041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 416b32be-dc42-497c-b8b6-8a5c08946c2c · inbound

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion cites this paper.

$I^2G$: Generating Instructional Illustrations via Text-Conditioned Diffusion Diffusion Model Alignment Using Direct Preference Optimization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:41.362858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 509484c6-bea9-4a1f-8ed3-df809414bbd7 · inbound

Alignment and Safety of Diffusion Models via Reinforcement Learning and Reward Modeling: A Survey cites this paper.

Alignment and Safety of Diffusion Models via Reinforcement Learning and Reward Modeling: A Survey Diffusion Model Alignment Using Direct Preference Optimization

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T02:30:56.323210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fae598c4-1250-4417-9dca-ad311a928cd5 · inbound

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion cites this paper.

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion Diffusion Model Alignment Using Direct Preference Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:48.103834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb1aaea-ca66-4040-b019-22d9a329bd5b · inbound

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples cites this paper.

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples Diffusion Model Alignment Using Direct Preference Optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:11.682372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab48ca54-d7c7-4011-bfe9-7803fafc4073 · inbound

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

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:41.558170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e534a2-201e-40cf-b659-a4fca6fecd0c · inbound

Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization cites this paper.

Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization Diffusion Model Alignment Using Direct Preference Optimization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:54.916228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8584fb1-12fe-4c5b-9b2d-5ad3b349be2b · inbound

Test-Time Scaling of Diffusion Models via Noise Trajectory Search cites this paper.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search Diffusion Model Alignment Using Direct Preference Optimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:47.773959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92607226-6b1e-4b0f-81f4-da6dd73d7892 · inbound

Listener-Rewarded Thinking in VLMs for Image Preferences cites this paper.

Listener-Rewarded Thinking in VLMs for Image Preferences Diffusion Model Alignment Using Direct Preference Optimization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:42:09.214747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b831aa5b-af77-4ef3-8059-2fb1d46dbf30 · inbound

MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design cites this paper.

MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design Diffusion Model Alignment Using Direct Preference Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:33:18.266540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb51a5c4-3969-482f-8a79-c0e61b108993 · inbound

JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment cites this paper.

JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment Diffusion Model Alignment Using Direct Preference Optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T13:14:37.596571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a81ebe7-1642-483a-b08e-947cf4870d28 · inbound

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

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning Diffusion Model Alignment Using Direct Preference Optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T17:21:18.206716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5057d666-5317-4f57-b2f9-32a4ddf03735 · inbound

Collective Recourse for Generative Urban Visualizations cites this paper.

Collective Recourse for Generative Urban Visualizations Diffusion Model Alignment Using Direct Preference Optimization

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:11:40.169243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd822f63-01ca-41be-8b19-3e9c34300254 · inbound

D2 Actor Critic: Diffusion Actor Meets Distributional Critic cites this paper.

D2 Actor Critic: Diffusion Actor Meets Distributional Critic Diffusion Model Alignment Using Direct Preference Optimization

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:29.484004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89ee6b99-e330-4c66-ab0c-ad610206dc4c · inbound

IdGlow: Dynamic Identity Modulation for Multi-Subject Generation cites this paper.

IdGlow: Dynamic Identity Modulation for Multi-Subject Generation Diffusion Model Alignment Using Direct Preference Optimization

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:00:10.047290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 489d5054-87c8-4d32-b92b-990bebbe0d09 · inbound

Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion cites this paper.

Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion Diffusion Model Alignment Using Direct Preference Optimization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T19:09:58.841790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d802c4-28ad-47bb-99ac-4ffb238413d5 · inbound

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion cites this paper.

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion Diffusion Model Alignment Using Direct Preference Optimization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:26:00.391432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8e5510d-108e-4ebd-9910-b9e5c5cb900d · inbound

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion cites this paper.

VASR: Variance-Aware Systematic Resampling for Reward-Guided Diffusion Diffusion Model Alignment Using Direct Preference Optimization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:06.521142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79dea1e9-fe3d-45f9-99f4-b5f17dc32eb4 · inbound

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models cites this paper.

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:06:15.138064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a525aeb9-c600-45cf-9e28-829ec3301625 · inbound

Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models cites this paper.

Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.283617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf53192e-4ab4-44f5-b574-9a1e2a7ccffc · inbound

Pluralistic-Alignment Urbanism: Operationalizing a Right to AI for Inclusive Public Space cites this paper.

Pluralistic-Alignment Urbanism: Operationalizing a Right to AI for Inclusive Public Space Diffusion Model Alignment Using Direct Preference Optimization

Reference 88

Resolution: malformed identifier; arxiv_id, observed 2026-06-30T18:55:00.095674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a9974c30-882d-4af3-bb61-0646710db165 · inbound

Judging to Improve: A De-biased VLM-as-3D-Judge Protocol for Single-Image 3D Generation cites this paper.

Judging to Improve: A De-biased VLM-as-3D-Judge Protocol for Single-Image 3D Generation Diffusion Model Alignment Using Direct Preference Optimization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:29.495922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b72a5761-4e94-47c6-9d38-7e19fd9ae561 · 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 Diffusion Model Alignment Using Direct Preference Optimization

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:59:43.050731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0e86f60-07d5-4b4f-83c6-cdf9baf35484 · 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 Diffusion Model Alignment Using Direct Preference Optimization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T10:36:54.873680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 409f87a4-9564-4c12-a330-5f5f178b9045 · inbound

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement cites this paper.

Flow Reasoning Models: Scaling Reasoning Through Iterative Self-Refinement Diffusion Model Alignment Using Direct Preference Optimization

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:04:28.420734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 050d4b37-ae3a-4772-964a-9aaec3a18bbc · inbound

Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF cites this paper.

Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF Diffusion Model Alignment Using Direct Preference Optimization

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-09T02:25:55.897454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9375506-9260-4b10-a3c0-531fc23b75dc · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Diffusion Model Alignment Using Direct Preference Optimization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T13:39:00.559315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128e0719-c2c7-482f-afde-00c6d11d38db · inbound

Learning Sampling Parameters for Diffusion Models cites this paper.

Learning Sampling Parameters for Diffusion Models Diffusion Model Alignment Using Direct Preference Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T21:02:13.358703Z

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Unavailable: canonical work link unavailable.

Observation 60c9e828-4996-433f-b5c0-f9e7e1e2bcc6 · inbound

Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training cites this paper.

Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training Diffusion Model Alignment Using Direct Preference Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:31.554644Z

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Unavailable: canonical work link unavailable.