Pith Number

pith:7RZYR5LD

pith:2025:7RZYR5LDJMG4WZA3CYU3QDUDCQ

not attested not anchored not stored refs pending

Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Bhiksha Raj, Difan Zou, Fangyi Chen, Hao Chen, Jindong Wang, Xiang Li, Yidong Wang, Yujin Han, Ze Wang, Zicheng Liu

arxiv:2502.03444 v2 · 2025-02-05 · cs.CV · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{7RZYR5LDJMG4WZA3CYU3QDUDCQ}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

5 papers in Pith

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation

BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation

Structure over Pixels: Learning Variable-Length Visual Programs

VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion

Receipt and verification

First computed	2026-07-05T11:12:25.448182Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fc7388f5634b0dcb641b1629b80e8314287d04c65c6eab67ac383239cd2f082c

Aliases

arxiv: 2502.03444 · arxiv_version: 2502.03444v2 · doi: 10.48550/arxiv.2502.03444 · pith_short_12: 7RZYR5LDJMG4 · pith_short_16: 7RZYR5LDJMG4WZA3 · pith_short_8: 7RZYR5LD

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/7RZYR5LDJMG4WZA3CYU3QDUDCQ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fc7388f5634b0dcb641b1629b80e8314287d04c65c6eab67ac383239cd2f082c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e2ea62fcf113b43569ef9c20c0460e622a666ccb519e18f3bf712bbb265b28ed",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-02-05T18:42:04Z",
    "title_canon_sha256": "31445b310173db6a8c4541d7068b4ba29e641d1058a513062cc5f8988306eb4c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.03444",
    "kind": "arxiv",
    "version": 2
  }
}