Pith Number
pith:MKRKX5N4
pith:2020:MKRKX5N4J3D4JC733W2CLISB6Y
not attested
not anchored
not stored
refs pending
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
arxiv:2009.01561 v1 · 2020-09-03 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MKRKX5N4J3D4JC733W2CLISB6Y}
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
✓
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 | 2026-07-05T01:32:50.849432Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62a2abf5bc4ec7c48bfbddb425a241f62cf2e156e19da7282b983109a189a02d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MKRKX5N4J3D4JC733W2CLISB6Y \
| 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: 62a2abf5bc4ec7c48bfbddb425a241f62cf2e156e19da7282b983109a189a02d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eacdfb827f82535ced76c460b2e45089df6c00bb553509a3c6f4bfe3857b4295",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-09-03T10:10:30Z",
"title_canon_sha256": "e534ebad3ebc6d531927e5f543e8eb391f7fee7b480e64f956dbeba9ee622bd8"
},
"schema_version": "1.0",
"source": {
"id": "2009.01561",
"kind": "arxiv",
"version": 1
}
}