Pith Number
pith:B4PYEVFC
pith:2023:B4PYEVFC7KQFKE5MVSLR3ODY7C
not attested
not anchored
not stored
refs pending
Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles
arxiv:2310.09024 v1 · 2023-10-13 · physics.plasm-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B4PYEVFC7KQFKE5MVSLR3ODY7C}
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 | 2026-07-05T07:00:38.902421Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f1f8254a2faa05513acac971db878f8ab7f9a6be7aee60a6ea6d8101332e6fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B4PYEVFC7KQFKE5MVSLR3ODY7C \
| 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: 0f1f8254a2faa05513acac971db878f8ab7f9a6be7aee60a6ea6d8101332e6fe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8993fc9576fac5f6380cdb58475a8078a9ecce5672f9a3819943da6c8f3e5108",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.plasm-ph",
"submitted_at": "2023-10-13T11:36:43Z",
"title_canon_sha256": "d5110ece87d547f3aaffb40fa4bface173a2729b0b91e2bc5ea2b7488a626790"
},
"schema_version": "1.0",
"source": {
"id": "2310.09024",
"kind": "arxiv",
"version": 1
}
}