Pith Number
pith:APYHZS3X
pith:2018:APYHZS3XWBSAKCTDPLBQKDRCAG
not attested
not anchored
not stored
refs pending
Classifying Process Instances Using Recurrent Neural Networks
arxiv:1809.05896 v1 · 2018-09-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{APYHZS3XWBSAKCTDPLBQKDRCAG}
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 | 2026-05-17T23:54:53.833223Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03f07ccb77b064050a637ac3050e2201b751c02724c9f1adaf58103643651694
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/APYHZS3XWBSAKCTDPLBQKDRCAG \
| 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: 03f07ccb77b064050a637ac3050e2201b751c02724c9f1adaf58103643651694
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8dba7b5b2261104412084dbf43d54ea40a31ad5d62fd49d8c30d70e258aeda67",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-09-16T15:33:24Z",
"title_canon_sha256": "42e8eecb94883a60b323e5d372d46fd020a47f5beba0466d591a9b4ec196e8c5"
},
"schema_version": "1.0",
"source": {
"id": "1809.05896",
"kind": "arxiv",
"version": 1
}
}