Pith Number
pith:5JYXFN6I
pith:2019:5JYXFN6IBUO2VTVOPJXVHU6SNA
not attested
not anchored
not stored
refs pending
Reward Potentials for Planning with Learned Neural Network Transition Models
arxiv:1904.09366 v4 · 2019-04-19 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5JYXFN6IBUO2VTVOPJXVHU6SNA}
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.
Receipt and verification
| First computed | 2026-05-17T23:39:30.238498Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea7172b7c80d1daaceae7a6f53d3d26827622410974e67e1048b4de15f5092d8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5JYXFN6IBUO2VTVOPJXVHU6SNA \
| 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: ea7172b7c80d1daaceae7a6f53d3d26827622410974e67e1048b4de15f5092d8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b0f263092a4bf25552596cc677dc7ccd74852068c5587ac8d1d8791c9445bdea",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2019-04-19T23:15:59Z",
"title_canon_sha256": "f18451361c26b132e1d3f30083b7b41149415b22139557f2f714183a510c8bb9"
},
"schema_version": "1.0",
"source": {
"id": "1904.09366",
"kind": "arxiv",
"version": 4
}
}