Pith Number
pith:4NPQIZEI
pith:2026:4NPQIZEIJ7BZCICTXSQYH6MAOS
not attested
not anchored
not stored
refs pending
Modelling magnetic material properties with uncertainty-aware neural networks
arxiv:2606.11870 v1 · 2026-06-10 · cond-mat.mtrl-sci · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4NPQIZEIJ7BZCICTXSQYH6MAOS}
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
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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 | 2026-06-11T01:10:12.910792Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e35f0464884fc3912053bca183f9807487ef42a188a4445fdadfe41ba594e9dc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4NPQIZEIJ7BZCICTXSQYH6MAOS \
| 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: e35f0464884fc3912053bca183f9807487ef42a188a4445fdadfe41ba594e9dc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f590d127ba3abd70d9f3c775b84d6a3145adb53ce42663c949be37c6d03480b3",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2026-06-10T09:47:21Z",
"title_canon_sha256": "6c292e33b8f806e7eef4cdf38836c46671fccd93cf2a603e5f4c4ea2ee201083"
},
"schema_version": "1.0",
"source": {
"id": "2606.11870",
"kind": "arxiv",
"version": 1
}
}