Pith Number
pith:AWJV6QSB
pith:2019:AWJV6QSBSX4ZRMYY63YVGZWMKK
not attested
not anchored
not stored
refs pending
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
arxiv:1903.00070 v4 · 2019-02-28 · cs.LG · cs.RO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AWJV6QSBSX4ZRMYY63YVGZWMKK}
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 | 2026-07-05T00:43:00.045079Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05935f424195f998b318f6f15366cc52bb2579fe64dcd0805e21f91a0699a855
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWJV6QSBSX4ZRMYY63YVGZWMKK \
| 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: 05935f424195f998b318f6f15366cc52bb2579fe64dcd0805e21f91a0699a855
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15879337300b555c67cdd03051eeca73f2d3f3e079daada0ac323109c257cae4",
"cross_cats_sorted": [
"cs.RO",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-28T20:53:13Z",
"title_canon_sha256": "f970d6683b6b88bcd4dac89c95f99ace03fad8c4f11948cd6623e1a78f501a6b"
},
"schema_version": "1.0",
"source": {
"id": "1903.00070",
"kind": "arxiv",
"version": 4
}
}