Pith Number
pith:B4TLMJDA
pith:2019:B4TLMJDACKMPLYWGHBYD3NZKZI
not attested
not anchored
not stored
refs pending
Automating Predictive Modeling Process using Reinforcement Learning
arxiv:1903.00743 v1 · 2019-03-02 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B4TLMJDACKMPLYWGHBYD3NZKZI}
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
✓
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 | 2026-05-17T23:52:00.695080Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f26b624601298f5e2c638703db72aca1d0cab720326ea163775f64da2c71f64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B4TLMJDACKMPLYWGHBYD3NZKZI \
| 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: 0f26b624601298f5e2c638703db72aca1d0cab720326ea163775f64da2c71f64
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4fdeeb5f0b3b3ac8353265ebca088ecf7a2a1fd08eeb9d3d43e9a1049ac5988",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-02T18:22:19Z",
"title_canon_sha256": "80b6c55974503273b466cc2d8637862b5b863e2ca24aaac8bcac953c20fd4a16"
},
"schema_version": "1.0",
"source": {
"id": "1903.00743",
"kind": "arxiv",
"version": 1
}
}