Pith Number
pith:BR57VRR6
pith:2018:BR57VRR63GDMD4UOSYS7O5HAB2
not attested
not anchored
not stored
refs pending
Microstructural Materials Design via Deep Adversarial Learning Methodology
arxiv:1805.02791 v2 · 2018-05-08 · cond-mat.mtrl-sci · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BR57VRR63GDMD4UOSYS7O5HAB2}
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
✓
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 | 2026-05-17T23:56:58.521368Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c7bfac63ed986c1f28e9625f774e00e94e7ff92012d7b0c8cb82b63f4a10ccf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BR57VRR63GDMD4UOSYS7O5HAB2 \
| 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: 0c7bfac63ed986c1f28e9625f774e00e94e7ff92012d7b0c8cb82b63f4a10ccf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6cd083b827c11e37559e67ae11f08fb10c370abf34c10bea0ab64fa687a8f5ad",
"cross_cats_sorted": [
"physics.comp-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2018-05-08T00:59:06Z",
"title_canon_sha256": "42c62298afaeda362064495a673eb07bd03948770d7131cd173510f1b74a5b16"
},
"schema_version": "1.0",
"source": {
"id": "1805.02791",
"kind": "arxiv",
"version": 2
}
}