Pith Number
pith:SDBQEP3Z
pith:2017:SDBQEP3ZVUV2Y3UEN3KLUN2B3R
not attested
not anchored
not stored
refs pending
Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus Ab Initio Methods
arxiv:1706.00192 v1 · 2017-06-01 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SDBQEP3ZVUV2Y3UEN3KLUN2B3R}
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 | 2026-05-18T00:43:14.794890Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
90c3023f79ad2bac6e846ed4ba3741dc41685413eadd8a3422af5be50028baa8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SDBQEP3ZVUV2Y3UEN3KLUN2B3R \
| 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: 90c3023f79ad2bac6e846ed4ba3741dc41685413eadd8a3422af5be50028baa8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0066c7b78f134d17e23830bb8880915c8dfe9395254fd622a1718b509393e083",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2017-06-01T07:49:23Z",
"title_canon_sha256": "eaec986e467e5a91587a37271194cdf62b6e8386016cf2229084b7aac7c1998d"
},
"schema_version": "1.0",
"source": {
"id": "1706.00192",
"kind": "arxiv",
"version": 1
}
}