Pith Number
pith:V5YIRNYG
pith:2017:V5YIRNYGNFDWI2MQ7WY6LLWJLI
not attested
not anchored
not stored
refs pending
Distributional Reinforcement Learning with Quantile Regression
arxiv:1710.10044 v1 · 2017-10-27 · cs.AI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V5YIRNYGNFDWI2MQ7WY6LLWJLI}
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 | 2026-05-18T00:31:54.887729Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af7088b7066947646990fdb1e5aec95a02ab08f2e4375ca166101ae7eee4e640
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V5YIRNYGNFDWI2MQ7WY6LLWJLI \
| 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: af7088b7066947646990fdb1e5aec95a02ab08f2e4375ca166101ae7eee4e640
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a49b1c4448e66180f3da24c4dd64dcd5113f40a8cef0a41bc849144d3c2663d3",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-10-27T09:35:26Z",
"title_canon_sha256": "bf8f5481e36eaefb0f3dc87d48f8a7a310f035fcbb71fa58785301adfa996a14"
},
"schema_version": "1.0",
"source": {
"id": "1710.10044",
"kind": "arxiv",
"version": 1
}
}