Pith Number
pith:I5FKPQG4
pith:2025:I5FKPQG4IHDGLG3RCE2QPNYPOK
not attested
not anchored
not stored
refs pending
Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience
arxiv:2507.07352 v1 · 2025-07-10 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I5FKPQG4IHDGLG3RCE2QPNYPOK}
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 | 2026-07-05T11:34:56.389238Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
474aa7c0dc41c6659b71113507b70f72b7bc7c3c129ebe7f158c644a5e465ee5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I5FKPQG4IHDGLG3RCE2QPNYPOK \
| 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: 474aa7c0dc41c6659b71113507b70f72b7bc7c3c129ebe7f158c644a5e465ee5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2790edbd2e4448e93785875f97755a80d86537752691830f6157229774def241",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DC",
"submitted_at": "2025-07-10T00:34:46Z",
"title_canon_sha256": "43aed81b4af4baf4dda4997f73bcaac2be8ba1b3c5752a59e49747c0280fc2f5"
},
"schema_version": "1.0",
"source": {
"id": "2507.07352",
"kind": "arxiv",
"version": 1
}
}