Pith Number
pith:C7CGLQ4E
pith:2021:C7CGLQ4ETPZNZVNFA3CLIS7LHD
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Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes
arxiv:2105.05559 v1 · 2021-05-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{C7CGLQ4ETPZNZVNFA3CLIS7LHD}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
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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 | 2026-07-05T02:39:52.317987Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
17c465c3849bf2dcd5a506c4b44beb38e83cd949fcea3b3e677f01068d2b9ca5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C7CGLQ4ETPZNZVNFA3CLIS7LHD \
| 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: 17c465c3849bf2dcd5a506c4b44beb38e83cd949fcea3b3e677f01068d2b9ca5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "babc9036308b2d57e238f4571770fc8f8803e528691c83bb351f55aeef2e7e3a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-05-12T10:18:57Z",
"title_canon_sha256": "be8bc48bab06749e3e4c86786bf76e71e7ffda3847bd6dcb5c080a6e3cf11c60"
},
"schema_version": "1.0",
"source": {
"id": "2105.05559",
"kind": "arxiv",
"version": 1
}
}