Pith Number
pith:7VMMRCNW
pith:2026:7VMMRCNW62C4MOT54NXVC24D5V
not attested
not anchored
not stored
refs pending
Data-Driven Modeling of a Controlled Orthotropic Plate Using Machine Learning
arxiv:2603.20931 v2 · 2026-03-21 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7VMMRCNW62C4MOT54NXVC24D5V}
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 | 2026-06-04T01:09:48.584862Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd58c889b6f685c63a7de36f516b83ed70a5857e1fc1625434467a67fab099cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7VMMRCNW62C4MOT54NXVC24D5V \
| 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: fd58c889b6f685c63a7de36f516b83ed70a5857e1fc1625434467a67fab099cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "faaa2b8a87c9ce2ea77d240dd3e919f58c1c8ae9e8ae10c39563bb090db71e36",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2026-03-21T20:16:44Z",
"title_canon_sha256": "b2b37a7789332489bf9bbe7f342c56e6740e3f5124f7e3bdac3159212edd33da"
},
"schema_version": "1.0",
"source": {
"id": "2603.20931",
"kind": "arxiv",
"version": 2
}
}