Pith Number
pith:4WHJ2FYV
pith:2025:4WHJ2FYVM6RQ42RZU2PUMBN24B
not attested
not anchored
not stored
refs pending
An Innovative Data-Driven and Adaptive Reinforcement Learning Approach for Context-Aware Prescriptive Process Monitoring
arxiv:2501.10543 v2 · 2025-01-17 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4WHJ2FYVM6RQ42RZU2PUMBN24B}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:10:50.539142Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e58e9d171567a30e6a39a69f4605bae04dc8fc3c656812c62acd9343b14ab8e1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4WHJ2FYVM6RQ42RZU2PUMBN24B \
| 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: e58e9d171567a30e6a39a69f4605bae04dc8fc3c656812c62acd9343b14ab8e1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65547e5cb61a30f6dfef1511712e72e28309f832330943cc68c5d07fb4c2a35a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-17T20:31:35Z",
"title_canon_sha256": "5e954e6ce7b112ade5594bb872ab9b79b72a46c9d567df222504f4649c9b205c"
},
"schema_version": "1.0",
"source": {
"id": "2501.10543",
"kind": "arxiv",
"version": 2
}
}