Pith Number
pith:IAMUMPDO
pith:2022:IAMUMPDOVBSY42HWXK32PQJRRN
not attested
not anchored
not stored
refs pending
A Theory of Abstraction in Reinforcement Learning
arxiv:2203.00397 v1 · 2022-03-01 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IAMUMPDOVBSY42HWXK32PQJRRN}
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 | 2026-07-05T04:01:16.812562Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4019463c6ea8658e68f6bab7a7c1318b5a50f71fc27860c170827a1bad8d13ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IAMUMPDOVBSY42HWXK32PQJRRN \
| 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: 4019463c6ea8658e68f6bab7a7c1318b5a50f71fc27860c170827a1bad8d13ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8270ace309284189018eff0f8e70ffc7f495e4f592eaa9cb7b664a54e0bc035a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-01T12:46:28Z",
"title_canon_sha256": "22498ed572b457bd1cf2134daababe3fe893f2726753a3761f0ed9eed68260c1"
},
"schema_version": "1.0",
"source": {
"id": "2203.00397",
"kind": "arxiv",
"version": 1
}
}