Paper Citation Record · LEDGER

Reward-Directed Score-Based Diffusion Models via q-Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2409.04832.

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

pith.paper-citation-record.v1
2409.04832 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:44:36.642599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.052275Z

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 429bb7ef-a00d-4b33-93e2-974a1c426035 · inbound

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence cites this paper.

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:06:04.926215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b140705-6248-492b-a55b-9936f0285c30 · 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 Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:12.111582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6da94f-2dbe-468f-9296-fb9fcfe3e5e5 · inbound

Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models cites this paper.

Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T16:44:36.642599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b7f893-9cbd-424d-822b-08be91ae1a17 · inbound

Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology cites this paper.

Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T10:22:38.265706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d8e03f-63c4-4419-a2ce-a960357da280 · 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 Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:42:45.309254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7da9eee5-e376-4eeb-b5c2-c5bc84f964b8 · inbound

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

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T04:22:27.129183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b585049d-690b-483f-8452-9a34e922077b · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:30:57.491070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8750649c-cc53-4086-a695-0432b3f1ec4e · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:35:24.754242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58dd6b72-c09c-40a6-849a-cdb687f31f0b · 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 Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.053629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 576fbfe2-d02d-47ef-a93a-aec8b652f295 · 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 Reward-Directed Score-Based Diffusion Models via q-Learning

Reference 2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.