Paper Citation Record · LEDGER

Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.08400.

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

pith.paper-citation-record.v1
2409.08400 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:54:25.051374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.054776Z

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 df08fc17-80f3-468f-8507-5af48db0deb1 · inbound

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs cites this paper.

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T22:54:25.051374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672d72ac-72a6-4fa0-99a9-2a968adf0d0a · inbound

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning cites this paper.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:08.313317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d8f5535-fd73-4101-a281-f39d50d8b25c · inbound

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule cites this paper.

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:42:45.296106Z

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 012371bb-ff51-4a9f-b5fd-bdf9461e610a · inbound

Space Syntax-guided Post-training for Residential Floor Plan Generation cites this paper.

Space Syntax-guided Post-training for Residential Floor Plan Generation Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:40:17.697227Z

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 9e16b13d-7968-4497-bb42-445d9eb15460 · 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 Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:10.723882Z

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 aa553baf-81b3-4628-8f18-073ca69360db · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.056378Z

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 4e00ddb4-9403-4de2-91f1-d0cc693999e7 · inbound

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning cites this paper.

ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T08:25:48.021715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427fac0a-0721-429a-912f-0a81245dbc79 · inbound

A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models cites this paper.

A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models Scores as Actions: a framework of fine-tuning diffusion models by continuous-time reinforcement learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T01:57:50.598936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.