Pith Number
pith:NETGXAYQ
pith:2018:NETGXAYQ5BGXZ2M7E73Y7GL4SR
not attested
not anchored
not stored
refs pending
Nonlinear Distributional Gradient Temporal-Difference Learning
arxiv:1805.07732 v3 · 2018-05-20 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NETGXAYQ5BGXZ2M7E73Y7GL4SR}
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 | 2026-05-17T23:49:33.603034Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69266b8310e84d7ce99f27f78f997c947b0f23329701d07d1149f7a8b2b48b72
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NETGXAYQ5BGXZ2M7E73Y7GL4SR \
| 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: 69266b8310e84d7ce99f27f78f997c947b0f23329701d07d1149f7a8b2b48b72
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a1d560dedf2e5fb2f66190da42ab83ffe0c9fa8b868328f9a4180ea66592063",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-05-20T08:43:05Z",
"title_canon_sha256": "3e4274f579ad419fce1e9d8b727a437276ab6d32a377b5710587518bd95f2bb3"
},
"schema_version": "1.0",
"source": {
"id": "1805.07732",
"kind": "arxiv",
"version": 3
}
}