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Paper Citation Record · LEDGER

Resurrect Mask AutoRegressive Modeling for Efficient and Scalable Image Generation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:53:15.054636Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution
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=sha256:1cffadf702686fffe004bd1afe4dce39507250d8fb78682826f2892087d31479

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=sha256:3ef078ccf073c32880aa24ce543b71e838e8d3c0584dc938234147a890ba670d

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T20:38:06.225705Z digest=sha256:89efdc7e7db27a832936081a85815383a32e75af25372f32ee9326989f5b34de