Pith Number
pith:443B5PQS
pith:2025:443B5PQSWLMNRIH2EURKDXLYZF
not attested
not anchored
not stored
refs pending
LaMM: Semi-Supervised Pre-Training of Large-Scale Materials Models
arxiv:2505.22208 v1 · 2025-05-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{443B5PQSWLMNRIH2EURKDXLYZF}
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.
Receipt and verification
| First computed | 2026-07-05T11:11:11.446324Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e7361ebe12b2d8d8a0fa2522a1dd78c95ea43ce696b39ccad2ba87f1a3247450
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/443B5PQSWLMNRIH2EURKDXLYZF \
| 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: e7361ebe12b2d8d8a0fa2522a1dd78c95ea43ce696b39ccad2ba87f1a3247450
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e84630711995a92c15a8791a11e3cbc4b4d57e59942152cf5f75771f0f214690",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-28T10:36:49Z",
"title_canon_sha256": "f347333726425a6a4ad6a2fe2160891e3af272e890d374e1a61a66f2960a7254"
},
"schema_version": "1.0",
"source": {
"id": "2505.22208",
"kind": "arxiv",
"version": 1
}
}