Pith Number
pith:YBWQ4PIH
pith:2021:YBWQ4PIHMK7QHHAE6ZR3HCN7TI
not attested
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not stored
refs pending
Deep neural networks based predictive-generative framework for designing composite materials
arxiv:2105.01384 v1 · 2021-05-04 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YBWQ4PIHMK7QHHAE6ZR3HCN7TI}
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 | 2026-07-05T04:56:58.772269Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c06d0e3d0762bf039c04f663b389bf9a37201a5307e9bd860635a101bdf966fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YBWQ4PIHMK7QHHAE6ZR3HCN7TI \
| 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: c06d0e3d0762bf039c04f663b389bf9a37201a5307e9bd860635a101bdf966fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a1f012809cfed4b5b283879a4b7b4b2f93e161b5d22f2115d709876d81cd8eb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2021-05-04T09:39:34Z",
"title_canon_sha256": "e1c02a12f29c19298917015c7d69d7cec78bf107cbbbc53aa0bfd2eecf5731ab"
},
"schema_version": "1.0",
"source": {
"id": "2105.01384",
"kind": "arxiv",
"version": 1
}
}