Pith Number
pith:5QJ2OILV
pith:2025:5QJ2OILVGRNTD2XPL4H7JCFFDU
not attested
not anchored
not stored
refs pending
Developing Distance-Aware Physics-Constrained Probabilistic Frameworks for Industrial Prognostics
arxiv:2512.08499 v3 · 2025-12-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5QJ2OILVGRNTD2XPL4H7JCFFDU}
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 | 2026-06-09T01:05:11.534790Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec13a72175345b31eaef5f0ff488a51d185f37a2a96b6f0c7ed2ba2d73c69e7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5QJ2OILVGRNTD2XPL4H7JCFFDU \
| 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: ec13a72175345b31eaef5f0ff488a51d185f37a2a96b6f0c7ed2ba2d73c69e7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e4992f010f4c29088495751b06212fba93ca6ea7f213019fba3f893ce87788e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-12-09T11:30:41Z",
"title_canon_sha256": "7d86632e08891549d26784db49738273c248f415af8ca7aa321233e729001597"
},
"schema_version": "1.0",
"source": {
"id": "2512.08499",
"kind": "arxiv",
"version": 3
}
}