Pith Number
pith:S5GUI7DO
pith:2025:S5GUI7DOUCFILUJNROTPDEBMLR
not attested
not anchored
not stored
refs pending
NanoVLMs: How small can we go and still make coherent Vision Language Models?
arxiv:2502.07838 v2 · 2025-02-11 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S5GUI7DOUCFILUJNROTPDEBMLR}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:16:20.860890Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
974d447c6ea08a85d12d8ba6f1902c5c6fd559a6e25d0ab95774e900f4c9094e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S5GUI7DOUCFILUJNROTPDEBMLR \
| 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: 974d447c6ea08a85d12d8ba6f1902c5c6fd559a6e25d0ab95774e900f4c9094e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "300787e0fa78dcdfb668dff7a34d24447e833f8a41c11dc3b71f3db60744d3e8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-11T02:31:45Z",
"title_canon_sha256": "96bac150d241d9bbc6adc667fbe6035764c95df52e98ef8d3f79da20cd58a925"
},
"schema_version": "1.0",
"source": {
"id": "2502.07838",
"kind": "arxiv",
"version": 2
}
}