Paper Citation Record · LEDGER

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2505.23331.

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

pith.paper-citation-record.v1
2505.23331 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:52:44.525510Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T12:50:13.764159Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:50:37.089876Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy5
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73815b03-b814-48bb-a670-c0c9faef498e · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Training Diffusion Models with Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:40.638024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334b404d-992e-4452-8b8e-260ab5c5120c · outbound

This paper cites Language Models are Few-Shot Learners.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:40.747777Z

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Observation 52d7ffff-1436-4f80-bd33-e7b061866528 · outbound

This paper cites Large scale visual recognition.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Large scale visual recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:52:46.101052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5991cb67-d15b-46e1-80bf-7168df972419 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Scaling rectified flow transformers for high-resolution image synthesis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:52:45.859940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2ed005df-04d0-48d3-a3bf-ad74248e098f · outbound

This paper cites Generative Adversarial Networks.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Generative Adversarial Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:41.243685Z

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Observation ab1063cd-2ba3-4608-b879-3c1a9e9ef0c5 · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:41.349047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5477b8c5-cc75-40cb-a2a0-fb6f6172dcbd · outbound

This paper cites Classifier-Free Diffusion Guidance.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Classifier-Free Diffusion Guidance

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:41.478481Z

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Observation bd5c164b-df26-4f3e-916c-8be800341f7a · outbound

This paper cites Auto-Encoding Variational Bayes.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Auto-Encoding Variational Bayes

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:41.621301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51859940-21cf-42c4-8067-b34c9cafe27f · outbound

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

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Aligning Text-to-Image Models using Human Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:41.738949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703e1f93-8a83-4f89-9b77-7105a1b9e159 · outbound

This paper cites an unresolved cited work.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:41.864074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5992993-0260-40c2-9dc9-4be5b02b0dc3 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:52:45.627084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3998470-5cf0-4671-800e-3d41743b7aad · outbound

This paper cites Training language models to follow instructions with human feedback.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Training language models to follow instructions with human feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:42.078302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 046d19a2-5ff6-4aba-834b-9913e021f5f3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:42.261911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a630f947-8778-49b6-b006-c4032dd31a2f · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:42.415543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b42df90-d4f4-4cfd-8661-84c51b32b6e1 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Zero-Shot Text-to-Image Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:42.565243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780b7e3e-a93a-4b50-aa7c-edc000dce459 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization High-Resolution Image Synthesis with Latent Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:42.747054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44166280-3365-4342-b26b-8b78cd705ea1 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:42.903491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b271deda-3b76-42c6-b890-2e06f44c2710 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Proximal Policy Optimization Algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:43.081066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38dd85b0-368d-4f72-a15c-01c90780abd0 · outbound

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

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:43.292943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579793ff-e0a3-43cc-b4c9-3f9d5d71bf7b · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:43.377350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9203ac51-8d84-457a-a6b8-823261cb1e37 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:52:45.322555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f39b1de4-0e02-450d-9b88-391ac128758d · outbound

This paper cites Neural Discrete Representation Learning.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Neural Discrete Representation Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:43.667477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0c26fd1-8aa3-41b9-a381-e86f887c6072 · outbound

This paper cites Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:43.800620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2e27a8e-fd7b-4ad4-9e4b-39b97adddefe · outbound

This paper cites How to train state-of-the-art models using torchvision’s latest primitives.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization How to train state-of-the-art models using torchvision’s latest primitives

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:52:45.092645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8468dbaf-0c2b-4632-95a6-54c98420e1a6 · outbound

This paper cites SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:44.091056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f74f70c-104d-4e19-a9e4-4b4bd4b81cac · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization DanceGRPO: Unleashing GRPO on Visual Generation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:44.218213Z

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Unavailable: canonical work link unavailable.

Observation 0791ead8-c531-4512-9ea2-917af645cbec · outbound

This paper cites Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:44.361394Z

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Unavailable: canonical work link unavailable.

Observation cb5f053f-4694-4d01-aa53-332260fdf51d · outbound

This paper cites write newline.

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization write newline

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:44.525510Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7d5451d7-35be-4d72-8e06-480e1e4701e8 · inbound

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation cites this paper.

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:50:37.096138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.