Pith Number
pith:6K36CUN4
pith:2026:6K36CUN46TR5APIRXHBHUP34UP
not attested
not anchored
not stored
refs pending
Input-driven analysis in predicting nuclear charge radii using Monte Carlo dropout Bayesian neural network
arxiv:2606.22937 v1 · 2026-06-22 · nucl-th
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6K36CUN46TR5APIRXHBHUP34UP}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-06-23T03:14:04.761061Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f2b7e151bcf4e3d03d11b9c27a3f7ca3c312c93219aea7a8d2f78108c1e13721
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6K36CUN46TR5APIRXHBHUP34UP \
| 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: f2b7e151bcf4e3d03d11b9c27a3f7ca3c312c93219aea7a8d2f78108c1e13721
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cb870753555c143ce84ae731fa867650fd15132d4b81011c0eb7b1bda3862da3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "nucl-th",
"submitted_at": "2026-06-22T07:13:17Z",
"title_canon_sha256": "5d811aef995bef6b7e6e44eb5c0bc02d8ae44f37b18e3e34eb9adca00f34189b"
},
"schema_version": "1.0",
"source": {
"id": "2606.22937",
"kind": "arxiv",
"version": 1
}
}