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Paper Citation Record · LEDGER

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

As of 15 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 2026-08-14T06:32:32.682623+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:ac50eb363365c21c105e10c655beaf682e2ecc6f9e90c04a71bd5f477e20923c

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=sha256:98f683fa63d7b740c688136acd03683c20e7471bab195db1ec6f4a3e078699e9

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:cf7e9ed281d62fe42215fa618b566ad780f66e08970f65f947bab04e19ef568a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:37:35.512892Z digest=sha256:fe540fb858931c98609a8a072681bee3b87f00fdbd4b8da98eaa51aff2f73f36

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=sha256:878e799de656acfff83cdeba7c74a05e8867fb17b27b32f4c8056db1039019e8

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

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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=sha256:9ae39a3b09ca1ac51e9480f3dae5182444e8dfe4e4e24fd15a43d620201cca5f

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

Resolution
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:db314ea8f99067db079c7a256aa1f939ca7909190d70822d203ac6cae73e9a07

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=sha256:542163c4008eb7910a8825ada291e3b6c184c23bb92e4da212826d6109e973eb

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:37:35.534512Z digest=sha256:3a022c59ba6887cb8ed1892e84c8036a04cb7ad48c906cb509ba0a46358d579d

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=sha256:1f917ab4380da2ddc06a686c2cb466f051bdbfebe62817e92a9cacd111fe7346

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:e18ef76c19b3a89db3041ca671b891daff1da5dadb83f59c9f04720bb237b6a6

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:a2c4b3f9943ba23d0b0b473a3463e931fd68233253e94e1fb61782f16599a990

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=sha256:73e6e199123674fe6f94a55035c5d1a1892bc7cd926fdfddb73f95834dfc1c2b

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=sha256:6c7fa28496b180f3c34fdfc2ced821b3a032dffe2ce6e9b37fcaa7f799246470

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:21:30.718582Z digest=sha256:edd4ebf744c74dd9ed8345f574c26dc36fd3eaf57ac04b6d804af28609b1ddc5

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=sha256:21790cdfe4a90480bfe50d0bb3c4975ba85dbf2b16a1c31fc016c6e925ee8acc

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=sha256:0ce08e70e1f92d55f4067bebd9cf1b723e323bb2b0a9f5ae31c674b1b429a55a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T20:38:06.225705Z digest=sha256:ed0de4e82a7786199d299240666f2c5e26d5e7adef957388f6472b68cb89fc2f