Pith Number
pith:YE32G422
pith:2026:YE32G422AUK2AF3IFYR52PUCJE
not attested
not anchored
not stored
refs pending
Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation
arxiv:2608.09052 v1 · 2026-08-10 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YE32G422AUK2AF3IFYR52PUCJE}
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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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.
Receipt and verification
| First computed | 2026-08-11T02:21:41.536612Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c137a3735a0515a017682e23dd3e82491c4f899371b35f6a021ae5f2e3ecde5b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YE32G422AUK2AF3IFYR52PUCJE \
| 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: c137a3735a0515a017682e23dd3e82491c4f899371b35f6a021ae5f2e3ecde5b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7299fb96b1928fd7e5a8570871a9c9579499f39737d5b4099cb75c1541ee3b46",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-08-10T03:00:17Z",
"title_canon_sha256": "df8b425876c85d35fa10b6fa20bad5a09ea9f3f01f34a812c846ee7e9c3349e8"
},
"schema_version": "1.0",
"source": {
"id": "2608.09052",
"kind": "arxiv",
"version": 1
}
}