Paper Citation Record · LEDGER

Masked Autoencoders Are Effective Tokenizers for Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.03444.

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

pith.paper-citation-record.v1
2502.03444 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:35.779135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.463918Z

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 09e89c9d-4461-4f07-b14a-1ef1dc47bfe1 · inbound

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation cites this paper.

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:35.779135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc96ed1b-a237-4583-bd10-bb1af9f6da46 · inbound

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction cites this paper.

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:32.384911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137e2f05-51d3-4712-84a0-7b96c1511d17 · inbound

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer cites this paper.

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:23.628002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c09e4615-7060-4e87-b943-575ace00a510 · inbound

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations cites this paper.

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:11.648909Z

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.

Observation f8443c64-a3fa-43e1-811f-321cf04f6d35 · inbound

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion cites this paper.

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:57.608936Z

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.

Observation 3f86571b-014d-4824-af0c-f2585530ecbe · inbound

Structure over Pixels: Learning Variable-Length Visual Programs cites this paper.

Structure over Pixels: Learning Variable-Length Visual Programs Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:49.025604Z

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.

Observation 6ab563c2-edc8-4d08-a21e-3afb9d76a152 · inbound

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation cites this paper.

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:19:21.135295Z

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.

Observation 5bc0004d-beb8-490a-84fe-e00b9c9924c4 · inbound

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation cites this paper.

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T10:53:54.467279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab64295f-cce5-480c-a75a-0eaca0356265 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:50:11.467934Z

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.