Pith Number
pith:I4LS52K5
pith:2025:I4LS52K5JP2ZALSJNOJYTAO4K2
not attested
not anchored
not stored
refs pending
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
arxiv:2505.14252 v2 · 2025-05-20 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I4LS52K5JP2ZALSJNOJYTAO4K2}
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.
Receipt and verification
| First computed | 2026-07-05T11:57:36.806746Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
47172ee95d4bf5902e496b938981dc56820e6e8f439b5f3b76d82f3b60652b48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I4LS52K5JP2ZALSJNOJYTAO4K2 \
| 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: 47172ee95d4bf5902e496b938981dc56820e6e8f439b5f3b76d82f3b60652b48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "952bf073952de63a3f2ebcf4020e745a2cf26358513733b15ea85cdaea64968b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-20T12:05:17Z",
"title_canon_sha256": "2887723b642caa8845b521f2551e32979746dcbcdaf9eb4e11c0b50964efa8d7"
},
"schema_version": "1.0",
"source": {
"id": "2505.14252",
"kind": "arxiv",
"version": 2
}
}