Pith Number
pith:ONQCAF2T
pith:2019:ONQCAF2TX7GCNLYJGAFRRQXEBL
not attested
not anchored
not stored
refs pending
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
arxiv:1907.04902 v1 · 2019-07-10 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONQCAF2TX7GCNLYJGAFRRQXEBL}
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.
Receipt and verification
| First computed | 2026-05-17T23:40:54.617184Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7360201753bfcc26af09300b18c2e40ae6bac2d9874eaba5e971b7db68e6ea99
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONQCAF2TX7GCNLYJGAFRRQXEBL \
| 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: 7360201753bfcc26af09300b18c2e40ae6bac2d9874eaba5e971b7db68e6ea99
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a60c487c3c3dd91bd991b480493177158e1bf9915dcc36a97fb03933ba97c7f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-07-10T19:50:45Z",
"title_canon_sha256": "95c6edc281a9b754bbff4cdb8e01ee5dabbaab677a29f884a25ed66b9db8bd4b"
},
"schema_version": "1.0",
"source": {
"id": "1907.04902",
"kind": "arxiv",
"version": 1
}
}