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Paper Citation Record · LEDGER

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 4 inbound Pith citation observations for arXiv:2507.13032.

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

pith.paper-citation-record.v1
2507.13032 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:37:35.534512Z

measured 18 of 18 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:21:30.718582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:38:24.529267Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79ff8858-9c9d-4666-96a7-737ec5409605 · outbound

This paper cites GPT-4 Technical Report.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-06T16:37:35.474023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.474023Z digest=sha256:d3668c03e7ab909736d1c1b01075e58f7eef8b5a4b7ff75565186da2280c6be9

Observation 5bc01014-fdca-4031-bfd8-854eff4a6a24 · outbound

This paper cites Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining

Reference 6

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unresolved
no resolver link, observed 2026-08-06T16:37:35.505153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.505153Z digest=sha256:6741ce1ab9190e109f6fc7ab1ec151e067ccd43afcff12bc1f1d0ebdfd221082

Observation 4b3b4637-606d-4387-a2e8-4a8d96afee18 · outbound

This paper cites Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling

Reference 7

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unresolved
no resolver link, observed 2026-08-06T16:37:35.508796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.508796Z digest=sha256:0556e01b41607a3f65bcb77feaa9d0401eb25cb36f3e1add51e49297cf3b26c5

Observation 8ec3dd91-f63f-4cf0-9124-39da75511ebd · outbound

This paper cites StraIT: Non-autoregressive Generation with Stratified Image Transformer.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation StraIT: Non-autoregressive Generation with Stratified Image Transformer

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:37:35.738119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:37:35.512892Z digest=sha256:206f1885c44aed041421c85c961a9e7c1384e927738fe96719b20d6866714b18

Observation d00869a2-abbc-4b31-9f4c-4cc6ddcb93f5 · outbound

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

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 9

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unresolved
no resolver link, observed 2026-08-06T16:37:35.516376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.516376Z digest=sha256:4b716753dbb268af533f1ba05faf2db85ae156527126c068dd5cab446fc103e2

Observation 4b726f50-bba5-4c75-b6f1-c1deb69324e6 · outbound

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

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:37:35.520170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.520170Z digest=sha256:6cd4e31242fa930da08d1f4b2f12496ff9fdc03ebc37b9f24476d37a62af3b8b

Observation 9fcddf50-d2f4-4bb3-a9a2-5bdfaa8ecbc5 · outbound

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

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 12

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unresolved
no resolver link, observed 2026-08-06T16:37:35.527721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.527721Z digest=sha256:1d4ed4ceec8ba68d8fc11adac42c2c6b7064fe86fab7eba26a170dd67f15a6d0

Observation 72a3cdc7-3c12-4f34-818d-59feb41e0345 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation LLaMA: Open and Efficient Foundation Language Models

Reference 13

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unresolved
no resolver link, observed 2026-08-06T16:37:35.531160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.531160Z digest=sha256:c708bab729140dc9eaaf8cbd83f124f6fa279623de3b2069e0fe14f5ff4adb02

Observation e661b2ed-510b-46e8-afd0-eb3500d9e14c · outbound

This paper cites The results include FID and IS scores for various CFG settings across 50 to 200 epochs.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation The results include FID and IS scores for various CFG settings across 50 to 200 epochs

Reference 14

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malformed identifier
raw_fallback, observed 2026-08-06T16:37:35.676210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:37:35.534512Z digest=sha256:005053c48f6ceafaa17b4ff7fb8558c086d3a3c55d859b7b108fcd413488883b

Observation be9f349a-231c-42ce-b1f4-89711ef62c7b · outbound

This paper cites Language Models are Few-Shot Learners.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Language Models are Few-Shot Learners

Reference 2020

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unresolved
no resolver link, observed 2026-08-06T16:37:35.480899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.480899Z digest=sha256:c65955c3a3787cf4ac337c8d9676bb6b97e3ddce7e877df0aa086ea4ec43482e

Observation d6aa5f18-fc01-41db-9124-28695264c758 · outbound

This paper cites Scalable autoregressive image generation with mamba.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Scalable autoregressive image generation with mamba

Reference 2022

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unresolved
no resolver link, observed 2026-08-06T16:37:35.496093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.496093Z digest=sha256:8f4dc495d1f9185d74e194a0d141b4fcfe7f9b743f37772916f3690274265181

Observation 53364012-fe37-4380-a661-33c041acf735 · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T16:37:35.501039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.501039Z digest=sha256:101a8b20fe9e86766a54eeb68a21ecddd0cbaa426a3f00a4c1c289bc945b972f

Observation 5bf29961-6a1b-42c5-b0eb-09c7ffaace88 · outbound

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

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation Gemini: A Family of Highly Capable Multimodal Models

Reference 2024

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unresolved
no resolver link, observed 2026-08-06T16:37:35.523853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.523853Z digest=sha256:af8c4b005b3e567bdf8c6fb20190e8d214ce1faa789bd88d1844cf8c6385fca1

Observation 6eae6298-1c53-4c5f-be6e-fdd6ebc4cb16 · outbound

This paper cites A Pytorch Reproduction of Masked Generative Image Transformer.

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation A Pytorch Reproduction of Masked Generative Image Transformer

Reference 2025

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unresolved
no resolver link, observed 2026-08-06T16:37:35.477827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:35.477827Z digest=sha256:283d22f568fef79bd13dfb6f51313252141ab881824e5a05f299e9923f88801b

Pith citing papers

Observation cd7e58ad-be0b-4b27-b9f0-d6a2e5eb7c6b · inbound

Low-Cost Test-Time Adaptation for Robust Video Editing cites this paper.

Low-Cost Test-Time Adaptation for Robust Video Editing Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

Reference 42

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unresolved
no resolver link, observed 2026-08-06T12:21:30.718582Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:21:30.718582Z digest=sha256:c719c81aa38a57581a564276d057c64900ca4bdc3e2e1fb132005272f6ca5761

Observation 901c40de-fef7-4db9-8729-ee201cb8f07a · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

Reference 84

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unresolved
no resolver link, observed 2026-08-05T12:53:04.412142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:53:04.412142Z digest=sha256:59c230c78e50e4668a8746ff96e00fe92206a8ad136bd58549222f254547e90a

Observation a659ff7a-cc98-4bf9-a949-9380848e8c97 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-05T12:53:15.054636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:53:15.054636Z digest=sha256:9e6dc9f45f81d041a8b1318f98a5324b13119a81f7b8027d6de29c1ba391e7e8

Observation 1310161c-f795-4554-b47c-2c561285cc9a · inbound

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models cites this paper.

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:38:24.531104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T20:38:06.225705Z digest=sha256:68ee57e7debf24103284a41a68c52e0d3d523a9c25631a8bc735ee50c0913428