Pith Number
pith:XWJ7HHX5
pith:2023:XWJ7HHX56YCC53MVMD2I23K4ZL
not attested
not anchored
not stored
refs pending
Machine-Learning Surrogate Model for Accelerating the Search of Stable Ternary Alloys
arxiv:2303.16597 v1 · 2023-03-29 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XWJ7HHX56YCC53MVMD2I23K4ZL}
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 | 2026-07-05T06:51:24.028955Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd93f39efdf6042eed9560f48d6d5ccae94702cac26e325610164c6478d2e273
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XWJ7HHX56YCC53MVMD2I23K4ZL \
| 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: bd93f39efdf6042eed9560f48d6d5ccae94702cac26e325610164c6478d2e273
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "de078167e62b382b49eeab6a34f03fa598a9d8199fb5cd7a59f3a577c28fb035",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2023-03-29T11:18:15Z",
"title_canon_sha256": "1342a134417d96177316653d851ecf125105315cd02edf7f8aef820d053f2427"
},
"schema_version": "1.0",
"source": {
"id": "2303.16597",
"kind": "arxiv",
"version": 1
}
}