Pith Number
pith:6JF4QYDD
pith:2024:6JF4QYDDM3IDUTZISPBZSY3V4H
not attested
not anchored
not stored
refs pending
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
arxiv:2412.14048 v1 · 2024-12-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6JF4QYDDM3IDUTZISPBZSY3V4H}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:51:12.798503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f24bc8606366d03a4f2893c3996375e1c286e5f52b7dfd8aca65781b19518743
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6JF4QYDDM3IDUTZISPBZSY3V4H \
| 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: f24bc8606366d03a4f2893c3996375e1c286e5f52b7dfd8aca65781b19518743
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eec09e58561864a1e2b41aab8fba0594c5e6fd99dfc640de3b3b2f6b2d4fc322",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-18T17:03:19Z",
"title_canon_sha256": "3d35ee10aa188265c84e8445170bbd0e2e12849e05b5e85f99cfb73e29931bf8"
},
"schema_version": "1.0",
"source": {
"id": "2412.14048",
"kind": "arxiv",
"version": 1
}
}