Pith Number
pith:PKMJRPLG
pith:2018:PKMJRPLGD4TPXCTLQEAQG42MPX
not attested
not anchored
not stored
refs pending
The Utility of Sparse Representations for Control in Reinforcement Learning
arxiv:1811.06626 v1 · 2018-11-15 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PKMJRPLGD4TPXCTLQEAQG42MPX}
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
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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 | 2026-05-18T00:00:34.315809Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7a9898bd661f26fb8a6b810103734c7debff8566e851620afc16bf4a1fd00187
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PKMJRPLGD4TPXCTLQEAQG42MPX \
| 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: 7a9898bd661f26fb8a6b810103734c7debff8566e851620afc16bf4a1fd00187
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "351f254b105934f962935b1105ee0550a032d385083763c93a27f0136fc41906",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-11-15T23:23:36Z",
"title_canon_sha256": "260cbf450edb13b2f48d61f83e5980ca58399d77d3173a58ce1bbb4db2249217"
},
"schema_version": "1.0",
"source": {
"id": "1811.06626",
"kind": "arxiv",
"version": 1
}
}