Pith Number
pith:OBB3SQRJ
pith:2026:OBB3SQRJ5OGKL6U7UVAFTDL55C
not attested
not anchored
not stored
refs pending
Machine-learning surrogate models for nonlinear energetic-particle transport predictions in ITER
arxiv:2608.11058 v1 · 2026-08-11 · physics.plasm-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OBB3SQRJ5OGKL6U7UVAFTDL55C}
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 | 2026-08-12T01:24:31.204697Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7043b94229eb8ca5fa9fa540598d7de8999af81c6cbf2879dd94188679c5827e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OBB3SQRJ5OGKL6U7UVAFTDL55C \
| 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: 7043b94229eb8ca5fa9fa540598d7de8999af81c6cbf2879dd94188679c5827e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f80177954a3ebae056f0e099d4b5caf26fdbb2f0cbf71e5c77c7298b6d28b953",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.plasm-ph",
"submitted_at": "2026-08-11T15:25:07Z",
"title_canon_sha256": "b3dd7df08aca1cbdecca6b79e716fe5a47ae975aa37ba467bd7d1a18ddc432ae"
},
"schema_version": "1.0",
"source": {
"id": "2608.11058",
"kind": "arxiv",
"version": 1
}
}