Pith Number
pith:ZVTEZHVA
pith:2018:ZVTEZHVAIH4LTSQ7MKSPIHLF5F
not attested
not anchored
not stored
refs pending
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior
arxiv:1807.08941 v1 · 2018-07-24 · cs.AI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZVTEZHVAIH4LTSQ7MKSPIHLF5F}
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.
Receipt and verification
| First computed | 2026-05-18T00:09:53.527691Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd664c9ea041f8b9ca1f62a4f41d65e9541542ada7152e6107e474fc0ee5fe02
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZVTEZHVAIH4LTSQ7MKSPIHLF5F \
| 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: cd664c9ea041f8b9ca1f62a4f41d65e9541542ada7152e6107e474fc0ee5fe02
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78e4bea5d8f60933f2dc65163d71863f37ebf6ef4a7f3274bb599fad8c68b78f",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2018-07-24T07:50:14Z",
"title_canon_sha256": "78c4dc1d317265862c725ff165b48749e1b55f860e2923b570c84e58de663c86"
},
"schema_version": "1.0",
"source": {
"id": "1807.08941",
"kind": "arxiv",
"version": 1
}
}