Pith Number
pith:Y52BVOGG
pith:2022:Y52BVOGGXCMSBSRFOPI5MVZY7A
not attested
not anchored
not stored
refs pending
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
arxiv:2206.06317 v1 · 2022-06-13 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y52BVOGGXCMSBSRFOPI5MVZY7A}
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
· sign in to
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 | 2026-07-05T04:31:17.986959Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c7741ab8c6b89920ca2573d1d65738f80d94e471b4fa3f0e338e136fc2139d4c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y52BVOGGXCMSBSRFOPI5MVZY7A \
| 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: c7741ab8c6b89920ca2573d1d65738f80d94e471b4fa3f0e338e136fc2139d4c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "68be013f5fc12f5283081cd47ae836eb0fe0482fc292d5d8a03e514c65ed2762",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-13T17:05:27Z",
"title_canon_sha256": "bf5b31781ae2f58476f7ce270cff4d298b7130466ce964d1901d9a0074b3529b"
},
"schema_version": "1.0",
"source": {
"id": "2206.06317",
"kind": "arxiv",
"version": 1
}
}