Paper Citation Record · LEDGER

Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06382.

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

pith.paper-citation-record.v1
2406.06382 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:56.581759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:42:16.524291Z

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 1a050560-9af7-49f2-ac32-16f68a6c059c · inbound

BalancedDPO: Adaptive Multi-Metric Alignment cites this paper.

BalancedDPO: Adaptive Multi-Metric Alignment Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:42:16.528205Z

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.

Observation 0f6310d3-adc3-4503-84eb-d22f889af12d · inbound

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences cites this paper.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:56.581759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95482ed2-8fe3-4f0a-a457-c4fc943a3e83 · inbound

Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision cites this paper.

Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T13:45:02.749981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc4a610-543c-4626-af15-7e56d7838dc1 · inbound

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:36:35.337700Z

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.

Observation 01cbd7a1-b380-42eb-8960-7add3f0ea094 · inbound

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

Towards General Preference Alignment: Diffusion Models at Nash Equilibrium Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:07.008366Z

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.

Observation 13fe8cee-1e61-42bc-811a-126fcf34bdb7 · inbound

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping cites this paper.

Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:29.380527Z

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.