Pith Number
pith:HKP7DS2K
pith:2021:HKP7DS2KIUDVBFXTIDO3PYPWRC
not attested
not anchored
not stored
refs pending
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
arxiv:2106.06854 v2 · 2021-06-12 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HKP7DS2KIUDVBFXTIDO3PYPWRC}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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.
Receipt and verification
| First computed | 2026-07-05T07:12:14.609029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a9ff1cb4a45075096f340ddb7e1f688a3d2f2c1a6707c1d4a8920f6698b7a5d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HKP7DS2KIUDVBFXTIDO3PYPWRC \
| 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: 3a9ff1cb4a45075096f340ddb7e1f688a3d2f2c1a6707c1d4a8920f6698b7a5d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3a76222efe8768124228621b511dcf64b820d521bbd1723a37e6e2f6e8e14b6",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-12T20:21:38Z",
"title_canon_sha256": "6283a0c73e2f174407444f84b4b86d59ba21c7baa267d18c65e4977a7aabe588"
},
"schema_version": "1.0",
"source": {
"id": "2106.06854",
"kind": "arxiv",
"version": 2
}
}