Pith Number
pith:UBGH4DG6
pith:2021:UBGH4DG6IO2RWKQHG3SVKDENZX
not attested
not anchored
not stored
refs pending
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
arxiv:2106.11417 v1 · 2021-06-21 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UBGH4DG6IO2RWKQHG3SVKDENZX}
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 | 2026-07-05T02:51:29.083048Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a04c7e0cde43b51b2a0736e5550c8dcddfbb653d2c1f6f8f319be980224ab8a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UBGH4DG6IO2RWKQHG3SVKDENZX \
| 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: a04c7e0cde43b51b2a0736e5550c8dcddfbb653d2c1f6f8f319be980224ab8a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33e64f577d7c32856fc7533646d499477be72caa515187e4c837a30a4621b0c1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-21T21:30:08Z",
"title_canon_sha256": "d81cfaac49e9d541c232070f6e9d0cbc5586ddf9fd08f8c69f9f5788f1abca32"
},
"schema_version": "1.0",
"source": {
"id": "2106.11417",
"kind": "arxiv",
"version": 1
}
}