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Paper Citation Record · LEDGER

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots

As of 7 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2505.20288.

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

pith.paper-citation-record.v1
2505.20288 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:17.994725Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

64 of 64 outbound references displayed

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  • unresolved37
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External citation measurements

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Outbound references

Observation fee45f15-efad-4829-a167-56a8cec16e56 · outbound

This paper cites GPT-4 Technical Report.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots GPT-4 Technical Report

Reference 1

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Observation b27ee87f-4d46-490c-b2b3-0e76b58ef1e9 · outbound

This paper cites Qwen Technical Report.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Qwen Technical Report

Reference 2

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Observation 82b1926e-8f22-4048-b3b2-e0fc21cb2982 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots All are worth words: A vit backbone for diffusion models

Reference 3

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Observation 24b250cc-1dfa-42f3-98c1-c8819f558a67 · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Large scale GAN training for high fidelity natural image synthesis

Reference 4

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Observation ec8c77df-56ac-428d-9af5-75c67c9b1da6 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 5

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Observation d2c73f83-3b9c-471f-a2ec-00bf107559f1 · outbound

This paper cites an unresolved cited work.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

Reference 6

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Observation f39ffcb5-3ace-41a7-8a5a-2d6f92f3a695 · outbound

This paper cites T., Rubinstein, M., et al.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots T., Rubinstein, M., et al

Reference 7

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Observation d49bc1f9-dae7-47f1-aea2-ab3848330f6b · outbound

This paper cites Controlstyle: Text-driven stylized image generation using diffusion priors.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Controlstyle: Text-driven stylized image generation using diffusion priors

Reference 8

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 04f9853a-6bfe-4c32-8b04-966946828ad2 · outbound

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Imagenet: A large-scale hierarchical image database

Reference 9

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Observation ea66038f-4651-4e5f-985d-7159367a8f70 · outbound

This paper cites and Nichol, A.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Nichol, A

Reference 10

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source=arxiv_source observed=2026-08-07T14:00:12.971995Z digest=sha256:da0c22da83d93fd71f1111cb6801c002520a652c9ef36ed3743752850caaa388

Observation 9da1bc40-7950-4904-bdec-43791b755e3d · outbound

This paper cites The Llama 3 Herd of Models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots The Llama 3 Herd of Models

Reference 11

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Observation c995252a-8c9a-4a81-bd8b-20ded5838181 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Taming transformers for high-resolution image synthesis

Reference 12

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Observation 1abd9bc9-ee19-458c-9d14-f258c2080a02 · outbound

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Scaling rectified flow transformers for high-resolution image synthesis

Reference 13

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Observation 51c11f31-2912-494f-8d90-0423cc46167f · outbound

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Reference 14

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Observation d9c8997b-a849-44dc-9c7d-1beabd3fa3bd · outbound

This paper cites an unresolved cited work.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

Reference 15

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Observation f43fc47f-350c-4991-82c3-d75c6f25fe33 · outbound

This paper cites Vector quantized diffusion model for text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Vector quantized diffusion model for text-to-image synthesis

Reference 16

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 634f0181-0d43-4b45-b734-e7c71f733c5d · outbound

This paper cites Mars: Mixture of auto-regressive models for fine-grained text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Mars: Mixture of auto-regressive models for fine-grained text-to-image synthesis

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1f1a8ac9-e039-4978-9add-06312763b7cc · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 18

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Observation 4d6e60b0-2560-4a71-be50-91c68321ebb6 · outbound

This paper cites and Salimans, T.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Salimans, T

Reference 19

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Observation 7e84aeed-df55-4fa3-9ee2-26853802b8b3 · outbound

This paper cites Denoising diffusion probabilistic models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Denoising diffusion probabilistic models

Reference 20

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Observation 92369c20-d5df-473a-9325-4d9529fc674a · outbound

This paper cites J., Norouzi, M., and Salimans, T.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots J., Norouzi, M., and Salimans, T

Reference 21

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Observation 552bea76-7f44-471a-b6ba-32b75bd95fcb · outbound

This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation

Reference 22

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Observation 8a663f4b-4db2-40f1-ad7c-b71a92689f7b · outbound

This paper cites Scaling up gans for text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Scaling up gans for text-to-image synthesis

Reference 23

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Observation 3af52730-d0a4-42b1-b4b7-d4abec526d44 · outbound

This paper cites an unresolved cited work.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

Reference 24

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Observation 666ac6d5-1baa-480c-905e-fbab9551676a · outbound

This paper cites Improved precision and recall metric for assessing generative models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Improved precision and recall metric for assessing generative models

Reference 25

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Observation 61c55d76-b0bb-448f-80b3-9bd267efe4e4 · outbound

This paper cites Crafting papers on machine learning.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Crafting papers on machine learning

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1d0d1238-dfbf-46fb-814e-9d6d31e69c38 · outbound

This paper cites Autoregressive image generation using residual quantization.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Autoregressive image generation using residual quantization

Reference 27

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Observation c77326ba-9dd1-44e6-9584-bc1cb727c3c8 · outbound

This paper cites Autoregressive image generation without vector quantization.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Autoregressive image generation without vector quantization

Reference 28

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Observation 452457a8-6e0a-45b9-b611-4bffb93149eb · outbound

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Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

Reference 29

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Observation aecf7caa-9b43-4402-a912-abc39c840dc9 · outbound

This paper cites Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unified-io 2: Scaling autoregressive multimodal models with vision language audio and action

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b163cfd1-5669-4611-a16d-fd54994e1ea3 · outbound

This paper cites Fit: Flexible vision transformer for diffusion model.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Fit: Flexible vision transformer for diffusion model

Reference 31

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:15.104284Z digest=sha256:eae3f5b0f46de81bba2abb42e3499e0de8b91445c59fc9effbd79fb8a6b878f8

Observation 6c1b25ef-d8aa-4f74-8193-d0a58d0efb35 · outbound

This paper cites Revisiting non-autoregressive transformers for efficient image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Revisiting non-autoregressive transformers for efficient image synthesis

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:15.183008Z digest=sha256:1e551e4b233801417aa929ab76032f224f57e3d5d6f970186d819174bd0a21ec

Observation d41a6063-79a8-41b3-b9c0-2114bdf51202 · outbound

This paper cites and Xie, S.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Xie, S

Reference 33

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source=arxiv_source observed=2026-08-07T14:00:15.278254Z digest=sha256:58b99056236a5122536fc7808d405d100e2427ef9ce3415e2cf14639fb21bf61

Observation a66aa07c-c624-4a18-97c8-119d259abda9 · outbound

This paper cites Boosting diffusion models with moving average sampling in frequency domain.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Boosting diffusion models with moving average sampling in frequency domain

Reference 34

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raw_fallback, observed 2026-08-07T14:00:20.911801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:15.348490Z digest=sha256:356efcd32838a63f3123d52b942407a334df4e0a114196d1521b46eeb606e47d

Observation 9c55f180-b97a-4b29-8d53-2f32ba644c12 · outbound

This paper cites Language models are unsupervised multitask learners.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Language models are unsupervised multitask learners

Reference 35

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source=arxiv_source observed=2026-08-07T14:00:15.418913Z digest=sha256:8eef06cb1536d86e1b70e86b3ad2a54bab2e08f3d7fa695fca0a7e4338b5101e

Observation 759c0a63-3cdd-49ed-a360-7a39fcf06328 · outbound

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching

Reference 36

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source=arxiv_source observed=2026-08-07T14:00:15.505782Z digest=sha256:05bb7985289cb6cf574b78b1f4247931a437f984b9231e4a82c5307dc0416b76

Observation 123d2f70-2617-45ae-a0dc-9c92fb1ed1a8 · outbound

This paper cites ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:15.620899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:15.620899Z digest=sha256:a8d74f168d9abb667469dedcc0a4b21de95ad15791ce7d7476cdeb7b996709fd

Observation 2a0d6343-cc12-4ebf-9ffa-87053e720fa1 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots High-resolution image synthesis with latent diffusion models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:15.734265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:15.734265Z digest=sha256:67c4fb1921dc01c5c4551f209aa55eb8b71970519996dc14a417dfefffb042c8

Observation 8af56a91-baa8-4db3-8c47-f68e29770b9b · outbound

This paper cites Improved techniques for training gans.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Improved techniques for training gans

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:20.672832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:15.818379Z digest=sha256:06410d9d3d56408912e32044c6b965770fcd6abb4a2d27b23056d42441a74d97

Observation f92bd4d0-d307-41b7-a691-ee61ed7a40e3 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:15.905708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:15.905708Z digest=sha256:364dfe5cba305774a25500d351d7dcd9a00dec25c7140280a6f8d12eeeb8daaf

Observation 5fe8c930-dc20-49f8-8df2-bf3001efa9fa · outbound

This paper cites and Ermon, S.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Ermon, S

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:20.542960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:15.973442Z digest=sha256:6c0ce70fc6d060a7c779dd808c20788e784a36b7664690cc4cb28f1a05d42739

Observation 2b21c6c0-af61-44ad-8bce-4a7aadffc422 · outbound

This paper cites and Ermon, S.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots and Ermon, S

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:20.392456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:16.080520Z digest=sha256:6a6b0394939fc1ccca91223fd46d39f5da5b740dbd25c6d249012f95548bf823

Observation 30b3e5f4-2092-4e19-9493-3128e7e436d5 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:16.170619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:16.170619Z digest=sha256:1da1af4e9d911628dcb5493d24317b095b0267d35a0d770b234ac030f769fcf8

Observation 4440dbb2-13a9-4e62-9460-8afed1ec6bed · outbound

This paper cites Hart: Efficient visual generation with hybrid autoregressive transformer.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Hart: Efficient visual generation with hybrid autoregressive transformer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:20.243392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:16.283813Z digest=sha256:45ff53f3722d830f4075481c2448414e5c5fc071775beea2c57603b12cd1976e

Observation 2ca74fed-1f19-418b-abd3-da44086d73cf · outbound

This paper cites Df-gan: A simple and effective baseline for text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Df-gan: A simple and effective baseline for text-to-image synthesis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:20.101966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:16.352557Z digest=sha256:1163551125270c8e66cd24cd90f379ad12dcde76d39e08a97a8a65d13db83e43

Observation 7fdbd880-4df7-4349-be30-54a324dfb765 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:16.435093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:16.435093Z digest=sha256:d54857dd5217709730febb407bee04ab9dc20749520a5a686a62610bbad76fd3

Observation 56829365-36a1-4f80-ad4e-a6b31e837255 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Gemini: A Family of Highly Capable Multimodal Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:16.512869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:16.512869Z digest=sha256:e320ccee54ae6d5977e4551e79903d6af29d274912b4024450c566d9d3136358

Observation 6514b7e7-9dd0-446b-88e6-ae743758dadf · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Gemma 2: Improving Open Language Models at a Practical Size

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:16.602685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:16.602685Z digest=sha256:40aecbdcb83b4a464670be008f8a9b0d604e000981365ec4997105cc311c0f0a

Observation 57ffd284-2a0a-4fa6-b091-68b63968076f · outbound

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

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.954953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:16.690532Z digest=sha256:b5a19e4059e5bb9d9a4eace47550ec3e3b96572a5c0ab57aaddbdeffbe0cc9c9

Observation ffdb90c5-4456-4c64-ab15-729e3783a5f6 · outbound

This paper cites Givt: Generative infinite-vocabulary transformers.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Givt: Generative infinite-vocabulary transformers

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:16.770678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:16.770678Z digest=sha256:c39b5b6f18d26aae2d35241d568c2a47d0a5e172f910b32dc5cffa6174450977

Observation c094483e-9bab-473d-a9bb-ada16f9a2748 · outbound

This paper cites Improving virtual try-on with garment-focused diffusion models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Improving virtual try-on with garment-focused diffusion models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.779454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:16.867641Z digest=sha256:d5748fe953272167490576f8a06d9a63e0d55c9b9b544a6e79938d34ba0e9a55

Observation 086d8baa-c9b2-420f-aed8-58b76da2e5cc · outbound

This paper cites Omnitokenizer: A joint image-video tokenizer for visual generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Omnitokenizer: A joint image-video tokenizer for visual generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.639717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:16.955613Z digest=sha256:756e6d8f4163af43138c89135b55a561f6e4f11411a2c309c283cc52cb168c6b

Observation 65cb59c6-2c2e-4798-9077-12b5e9ee947f · outbound

This paper cites Loong: Generating Minute-level Long Videos with Autoregressive Language Models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Loong: Generating Minute-level Long Videos with Autoregressive Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:17.046537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:17.046537Z digest=sha256:bf7549850aadb1d727b9ffb20fc40ae94f2620a701ae50c8b53af8053717483f

Observation 6883e33c-389f-47cb-be5d-4963a897a20b · outbound

This paper cites Attention is all you need.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Attention is all you need

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.515373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.116651Z digest=sha256:c61aee2d748ca712dfbfa17076f80f42eeb0b71a45739e7ddb3e02e59233e9b0

Observation 11eefd69-b4c9-47e2-be61-16c97a7510b4 · outbound

This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Attngan: Fine-grained text to image generation with attentional generative adversarial networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.338971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.226836Z digest=sha256:659dd6f305c8026ba62f5c9b934b11d5bfc75ecfd4fb791a740c195c2afe2d7c

Observation b4f4431e-bc66-4d00-a630-8e3e29980f10 · outbound

This paper cites G., Yang, M.-H., Hao, Y., Essa, I., et al.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots G., Yang, M.-H., Hao, Y., Essa, I., et al

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:17.331402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:17.331402Z digest=sha256:83b8c1a4464652067a1e8d79d66497e90695051ee01974138d3cd3e9e80b47a7

Observation 89590f26-2dcb-4225-a18d-3410706e523f · outbound

This paper cites B., Versari, L., Sohn, K., Minnen, D., Cheng, Y., Gupta, A., Gu, X., Hauptmann, A.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots B., Versari, L., Sohn, K., Minnen, D., Cheng, Y., Gupta, A., Gu, X., Hauptmann, A

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.203429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.438515Z digest=sha256:bac6db07e567df238cb9e7397d36e9d81dea61569015a0b01ab5da5b16e5629f

Observation 1537f482-9d22-4bc2-8d6c-d8a0583f5c5e · outbound

This paper cites Y., Baldridge, J., Lee, H., and Yang, Y.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Y., Baldridge, J., Lee, H., and Yang, Y

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:19.055782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.492640Z digest=sha256:d81ab75a23c0c9a387b5eb8615714e97bc9fd13b4b98cc01396b844228095b7e

Observation 9597f5ed-79e8-49d3-8b0f-365d7d16472c · outbound

This paper cites Trip: Temporal residual learning with image noise prior for image-to-video diffusion models.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Trip: Temporal residual learning with image noise prior for image-to-video diffusion models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:18.867571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.562427Z digest=sha256:2784bcc66fc8753b51d0bc702b248f03c7af2570ca3f7e940788a292eb0ee5fb

Observation 972e997b-7e4e-4002-bede-dd1a5e15b274 · outbound

This paper cites Towards language-free training for text-to-image generation.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Towards language-free training for text-to-image generation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:18.717608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.650714Z digest=sha256:758bb438480c4b71e4f25efa460aa5978bc36f317fa72712b123bba176847315

Observation 7cf81552-12e7-4de6-b4d5-abe441d8abb4 · outbound

This paper cites Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:18.544957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.742341Z digest=sha256:729b64c1d7a1a539cd6a5e3dde9cb4c87e2e0f69a575a0e69e6ddd9c125b1696

Observation 9eb8287c-c631-4d6a-8073-6a06088aac5b · outbound

This paper cites an unresolved cited work.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:00:18.407980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.825274Z digest=sha256:c0679e6ebe19e354c93d92cc19d3dd4d43d92d6615e831cd1260d5937eca0df7

Observation b42f4ddf-4989-464d-a721-93dcf5ec9cf6 · outbound

This paper cites Lumina-next : Making lumina-t2x stronger and faster with next-dit.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Lumina-next : Making lumina-t2x stronger and faster with next-dit

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:00:18.232865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:00:17.912414Z digest=sha256:d2a13a4147634c63f00b5c0e1962b942cb25a0989ac50927b2d459a8153883c8

Observation fbc5a0e9-1b33-4b30-ba50-620284fd095d · outbound

This paper cites write newline.

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots write newline

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:17.994725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:00:17.994725Z digest=sha256:eb5069069c3134cb776d390e6ec28075649e293277ab85a3bbdc1d8d0df935a9

Pith citing papers

No inbound Pith citation observations are available.