Pith Number
pith:LAEOYYRH
pith:2026:LAEOYYRHVT6YLKPDAXGQR2G7FA
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refs pending
Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers
arxiv:2605.14893 v1 · 2026-05-14 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LAEOYYRHVT6YLKPDAXGQR2G7FA}
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
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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.
Receipt and verification
| First computed | 2026-05-17T23:38:55.919824Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5808ec6227acfd85a9e305cd08e8df2804827d843f836d9cec1d1b1aeff73193
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LAEOYYRHVT6YLKPDAXGQR2G7FA \
| 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: 5808ec6227acfd85a9e305cd08e8df2804827d843f836d9cec1d1b1aeff73193
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "769945c003f1900799ce46ec338bc71ba7a855a14ecb33e8728244be4c471690",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-14T14:37:50Z",
"title_canon_sha256": "6dede2f5090499c5eccea9195b931d00ebfc92e1a3f9902155e3bdba2fecc229"
},
"schema_version": "1.0",
"source": {
"id": "2605.14893",
"kind": "arxiv",
"version": 1
}
}