Pith Number
pith:PWEVWNWN
pith:2024:PWEVWNWNUYV3GLDPMPQFJN7ICW
not attested
not anchored
not stored
refs pending
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
arxiv:2404.02905 v2 · 2024-04-03 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PWEVWNWNUYV3GLDPMPQFJN7ICW}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T08:29:25.164804Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7d895b36cda62bb32c6f63e054b7e815a8f1af220e6c23d1de26af42a27d89ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PWEVWNWNUYV3GLDPMPQFJN7ICW \
| 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: 7d895b36cda62bb32c6f63e054b7e815a8f1af220e6c23d1de26af42a27d89ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f93f44f5b51f2e115e508af825a904e26d1d06abe5388a233a2bb69fede2ea6e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-04-03T17:59:53Z",
"title_canon_sha256": "965e4c5f6a91948618bbd3b0c194e9521ecb55e8acc0411623d3c206cecf77dd"
},
"schema_version": "1.0",
"source": {
"id": "2404.02905",
"kind": "arxiv",
"version": 2
}
}