Paper Citation Record · LEDGER

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2605.26013.

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

pith.paper-citation-record.v1
2605.26013 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:44:25.152451Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact13
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a36f42a4-0278-4470-847c-ab4a5a28a551 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:01.614664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d83a728d-623f-4bc2-b1ee-0baaaeea8ce5 · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.620053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 195e1f9d-4ada-425c-bf82-1066156f70db · outbound

This paper cites Fine-tuning flow matching generative models with intermediate feedback.arXiv preprint arXiv:2510.18072, 2025a.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Fine-tuning flow matching generative models with intermediate feedback.arXiv preprint arXiv:2510.18072, 2025a

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.612457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a557aa6-a763-4854-a3a6-bfba55cb2f24 · outbound

This paper cites TempFlow-GRPO: When Timing Matters for GRPO in Flow Models.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models TempFlow-GRPO: When Timing Matters for GRPO in Flow Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:01.617374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba1d0972-f01e-4102-a6de-ae0d8986d4d9 · outbound

This paper cites CLIPScore: A reference-free evaluation metric for image captioning.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models CLIPScore: A reference-free evaluation metric for image captioning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T22:44:25.152451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e86341b-76a5-4802-990f-6c6a485c0651 · outbound

This paper cites Aligning Text-to-Image Models using Human Feedback.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Aligning Text-to-Image Models using Human Feedback

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:01.622449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4459e72-fced-4a42-a3fc-3296ee2c0b17 · outbound

This paper cites MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:01.609833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0616927-8ee7-4111-930b-8bc43d153589 · outbound

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

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Flow-GRPO: Training Flow Matching Models via Online RL

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:01.606928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a64017b0-2a58-48de-a8bd-7b78e7f43515 · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.604475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87fe6953-3c25-45ca-8ef7-e64179792c6c · outbound

This paper cites Stepwise credit assignment for grpo on flow- matching models.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Stepwise credit assignment for grpo on flow- matching models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.596226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc3c30c5-b2e3-432d-b3f0-c48a7cb8423f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:01.590277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d81c8b19-71a5-4086-bdf2-8c03a87b9b62 · outbound

This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.593464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9e414b3-e654-4d3e-b1e9-b5345b9c9b03 · outbound

This paper cites Advantage weighted matching: Aligning rl with pretraining in diffusion models.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Advantage weighted matching: Aligning rl with pretraining in diffusion models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.599110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d82f758-7150-47f3-ae3b-571ab367f929 · outbound

This paper cites DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T22:54:01.601778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4a22a5f-00fb-4fb4-abeb-d4e5a4d4eb25 · outbound

This paper cites Diffusion reinforcement learning via centered reward distillation.arXiv preprint arXiv:2603.14128, 2026.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models Diffusion reinforcement learning via centered reward distillation.arXiv preprint arXiv:2603.14128, 2026

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:54:01.587929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05ed8acd-41ef-4f20-8785-dd71f6052a47 · outbound

This paper cites We report the combined reward, as well as HPSv2.1 and CLIPScore.

AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models We report the combined reward, as well as HPSv2.1 and CLIPScore

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T22:44:25.152451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.