Paper Citation Record · LEDGER

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.23876.

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

pith.paper-citation-record.v1
2509.23876 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:43:18.305308Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

47 of 47 outbound references displayed

verified exact1
verified fuzzy0
unresolved46
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccffb9ee-ff60-4865-9ff0-5714f09cf18c · outbound

This paper cites Longformer: The Long-Document Transformer.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Longformer: The Long-Document Transformer

Reference 1

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Observation 53492690-9c77-489f-8707-2123332d1d35 · outbound

This paper cites Generative Pretraining From Pixels.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Generative Pretraining From Pixels

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:10.724746Z

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Observation fb353bc1-ce87-4d6c-b424-54fa3f4e7a16 · outbound

This paper cites ImageNet : A large-scale hierarchical image database.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance ImageNet : A large-scale hierarchical image database

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:10.824985Z

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Observation d6b7898c-d647-4431-8356-7f030e2cbf0a · outbound

This paper cites Diffusion models beat gans on image synthesis.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Diffusion models beat gans on image synthesis

Reference 5

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Observation c47075af-799a-4e48-b22f-c6ab8bb38ccc · outbound

This paper cites PixelAsParam : A Gradient View on Diffusion Sampling with Guidance.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance PixelAsParam : A Gradient View on Diffusion Sampling with Guidance

Reference 6

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Observation 42ad9232-9762-4b3d-9fb1-f58c3e6bcae9 · outbound

This paper cites Rethinking conditional diffusion sampling with progressive guidance.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Rethinking conditional diffusion sampling with progressive guidance

Reference 7

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Observation 632c233b-d8bb-4e98-90d9-7408105cdfcc · outbound

This paper cites Representative Guidance : Diffusion Model Sampling with Coherence.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Representative Guidance : Diffusion Model Sampling with Coherence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:11.304774Z

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Observation 1be07cc8-b03d-4988-ae10-c19584554cf2 · outbound

This paper cites Endres and J.E.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Endres and J.E

Reference 9

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Observation 7c4345c8-d87e-4183-aa01-7676866a7d13 · outbound

This paper cites Taming Transformers for High-Resolution Image Synthesis.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Taming Transformers for High-Resolution Image Synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:11.554760Z

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Observation 026cac38-f7d7-4c46-bdc3-fd986bdc3104 · outbound

This paper cites Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 11

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Observation bb451327-cc46-48b1-89d4-421723be4081 · outbound

This paper cites GenEval : An object-focused framework for evaluating text-to-image alignment.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance GenEval : An object-focused framework for evaluating text-to-image alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:11.724932Z

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Observation 47db5e4c-0688-49f7-a4c6-6cc95891ac50 · outbound

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

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:11.864742Z

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Observation 84be18b6-682e-4d47-82a9-a052cd9106e9 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Classifier-Free Diffusion Guidance

Reference 14

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Observation 84dc70d0-e579-48c3-9262-1dfc32365226 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Denoising Diffusion Probabilistic Models

Reference 15

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Observation a3eec4eb-c074-4ea4-ab74-676c9dc7da23 · outbound

This paper cites Guiding a Diffusion Model with a Bad Version of Itself.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Guiding a Diffusion Model with a Bad Version of Itself

Reference 17

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Observation 3241f752-2ca3-4a16-87c9-677fa6f9d6b4 · outbound

This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Analyzing and Improving the Training Dynamics of Diffusion Models

Reference 18

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Observation 202a8c68-d716-4f97-8ea5-78ca6073d043 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance YOLOv11: An Overview of the Key Architectural Enhancements

Reference 19

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Observation 48f5986e-dca1-445d-bdd7-e40764b934cf · outbound

This paper cites Pick-a- Pic : An Open Dataset of User Preferences for Text -to- Image Generation.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Pick-a- Pic : An Open Dataset of User Preferences for Text -to- Image Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:12.884746Z

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Observation 13c954f4-ded4-4fbd-a06e-ecb21d49a1d8 · outbound

This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:13.110543Z

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Observation 4b6e8529-619e-4097-9c4a-8ff9710f6cd6 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:13.331465Z

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Observation ab2684e8-e9f1-441e-a297-2f8c27aa353b · outbound

This paper cites Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking

Reference 23

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Observation 5e652202-b16e-44f1-969e-bd9fc3da0f61 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Autoregressive Image Generation without Vector Quantization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:13.625866Z

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Observation f0e449cb-e897-4b6a-9b53-f4b6d1e66884 · outbound

This paper cites Reward-Guided Speculative Decoding for Efficient LLM Reasoning.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Reward-Guided Speculative Decoding for Efficient LLM Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:13.834755Z

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Observation b1fe7006-038f-4596-802b-09f7d4c23829 · outbound

This paper cites Lawrence Zitnick.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Lawrence Zitnick

Reference 26

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Observation d832eef9-04bc-4479-908d-b6b98547df4f · outbound

This paper cites Coherent Semantic Attention for Image Inpainting.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Coherent Semantic Attention for Image Inpainting

Reference 27

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Observation 5e113966-9636-44c0-aef7-17504f9fbc6b · outbound

This paper cites Unlocking Guidance for Discrete State-Space Diffusion and Flow Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:14.365006Z

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Observation 4b012363-d3fa-43d4-97c8-fd0b51831356 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Scalable Diffusion Models with Transformers

Reference 29

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Observation 0e752456-27ed-452b-bfa0-c7bd66fa1a40 · outbound

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Unresolved cited work

Reference 30

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Observation bbb65fe5-27c0-4a9b-b57c-ee1dccbda50d · outbound

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

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance SDXL : Improving Latent Diffusion Models for High - Resolution Image Synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:14.794750Z

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Observation 5c623e77-2303-418a-a08c-963335a0eb64 · outbound

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

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Zero- Shot Text-to-Image Generation

Reference 32

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Observation 45df5a04-7b70-402f-a13a-d421b344608f · outbound

This paper cites FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching

Reference 33

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Observation d2694152-b7d9-4213-b628-5243968eba32 · outbound

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

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance High- Resolution Image Synthesis with Latent Diffusion Models

Reference 34

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Observation fbe25348-7814-438d-8213-2927ef1591f0 · outbound

This paper cites TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:15.404908Z

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Observation 2c2f82d3-155f-401a-94f0-cedfbc61e820 · outbound

This paper cites Simple Guidance Mechanisms for Discrete Diffusion Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Simple Guidance Mechanisms for Discrete Diffusion Models

Reference 36

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Observation 03f5981e-54e2-487d-8a10-7e4b381a7344 · outbound

This paper cites Denoising Diffusion Implicit Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Denoising Diffusion Implicit Models

Reference 37

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 38

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Observation 8de4e1fb-373a-4763-99c5-ae1bec16bcc2 · outbound

This paper cites HART : Efficient Visual Generation with Hybrid Autoregressive Transformer , 2024.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance HART : Efficient Visual Generation with Hybrid Autoregressive Transformer , 2024

Reference 39

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Observation 1d02b817-221c-4fe9-be0e-8000ca4363b6 · outbound

This paper cites Visual Autoregressive Modeling : Scalable Image Generation via Next-Scale Prediction.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Visual Autoregressive Modeling : Scalable Image Generation via Next-Scale Prediction

Reference 40

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Observation 86c02656-c3f5-4466-8ce8-4db73808ac3b · outbound

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis

Reference 41

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Observation 8be30b18-ae98-46c8-9125-9218ca1b7260 · outbound

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance ImageReward : Learning and Evaluating Human Preferences for Text -to- Image Generation

Reference 42

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Observation 75a8267e-0a1d-4b23-aeb4-7c2a76424a47 · outbound

This paper cites Image Captioning With Semantic Attention.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Image Captioning With Semantic Attention

Reference 43

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Observation a85bfc76-5947-4054-b646-c119a07f8454 · outbound

This paper cites How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models

Reference 44

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Observation dcc8120e-260a-4b47-90cf-22cedb9e0b4d · outbound

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance VAR-CLIP: Text-to-Image Generator with Visual Auto-Regressive Modeling

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:17.464750Z

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Observation 73ed147d-c66f-4181-9a35-8d3385aa52e8 · outbound

This paper cites Entropy- Driven Sampling and Training Scheme for Conditional Diffusion Generation.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Entropy- Driven Sampling and Training Scheme for Conditional Diffusion Generation

Reference 46

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Observation c587c29b-c49a-423b-bb8f-be2a3fd59ff9 · outbound

This paper cites @esa (Ref.

Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance @esa (Ref

Reference 47

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Observation 940847f8-074e-4ccd-b57c-6e6d913d04b5 · outbound

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Unresolved cited work

Reference 48

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Observation c1358a1c-27be-47dd-a7e4-984263758610 · outbound

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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance Unresolved cited work

Reference 49

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Pith citing papers

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