Pith Number
pith:SFJBFLHS
pith:2023:SFJBFLHSBZSXAJOYDG7NG7APNZ
not attested
not anchored
not stored
refs pending
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
arxiv:2301.10067 v1 · 2023-01-24 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SFJBFLHSBZSXAJOYDG7NG7APNZ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:35:37.551815Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
915212acf20e657025d819bed37c0f6e633a2732272e46c0abce27ddbca64934
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SFJBFLHSBZSXAJOYDG7NG7APNZ \
| 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: 915212acf20e657025d819bed37c0f6e633a2732272e46c0abce27ddbca64934
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ebdd4fbfb809d232d94162cae2f9802ef79c3ca2d44b2f7bbeae6297415ac07",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-01-24T15:13:02Z",
"title_canon_sha256": "9c22484763bc83ffca173d32c77a3efa3cf61993cb2e1f410d17b1f44c30acc3"
},
"schema_version": "1.0",
"source": {
"id": "2301.10067",
"kind": "arxiv",
"version": 1
}
}