pith. sign in
Pith Number

pith:4NPQIZEI

pith:2026:4NPQIZEIJ7BZCICTXSQYH6MAOS
not attested not anchored not stored refs pending

Modelling magnetic material properties with uncertainty-aware neural networks

Akihito Kinoshita, Akira Kato, Alexander Kovacs, Clemens Wager, Harald Oezelt, Hayate Yamano, Heisam Moustafa, Hyuga Hosoi, Masao Yano, Noritsugu Sakuma, Qais Ali, Tetsuya Shoji, Thomas Schrefl

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 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2606.11870 · arxiv_version: 2606.11870v1 · doi: 10.48550/arxiv.2606.11870 · pith_short_12: 4NPQIZEIJ7BZ · pith_short_16: 4NPQIZEIJ7BZCICT · pith_short_8: 4NPQIZEI
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
  }
}