Pith Number
pith:RX2HDA2S
pith:2026:RX2HDA2SREGF2F63AO2SCY3S4M
not attested
not anchored
not stored
refs pending
Multivariate Distributional Reinforcement Learning Using Sliced Divergences
arxiv:2605.31222 v1 · 2026-05-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RX2HDA2SREGF2F63AO2SCY3S4M}
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 | 2026-06-01T01:04:04.685718Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8df4718352890c5d17db03b5216372e32a1ebf2cce8a072fdd1ac6c8203460eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RX2HDA2SREGF2F63AO2SCY3S4M \
| 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: 8df4718352890c5d17db03b5216372e32a1ebf2cce8a072fdd1ac6c8203460eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e7a76dd1ec5ca3417fa8ecfa9d53371d68fa88bda60d728acc8e042a6ec5204b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-29T12:26:45Z",
"title_canon_sha256": "812120b480823a93ff2c8952ab06519ed741f7f8459ff7c51a41e2245c9e13db"
},
"schema_version": "1.0",
"source": {
"id": "2605.31222",
"kind": "arxiv",
"version": 1
}
}