Pith Number
pith:43GLTXCL
pith:2026:43GLTXCLJRGRYEMULUDHK7UIBA
not attested
not anchored
not stored
refs pending
Auditing the Risk Claims of Distributional Reinforcement Learning
arxiv:2607.11607 v1 · 2026-07-13 · cs.AI · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{43GLTXCLJRGRYEMULUDHK7UIBA}
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
· sign in to
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 | 2026-07-14T02:22:14.687781Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6ccb9dc4b4c4d1c11945d06757e880808c64b4dcb5cd0420c25263003cff4f6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/43GLTXCLJRGRYEMULUDHK7UIBA \
| 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: e6ccb9dc4b4c4d1c11945d06757e880808c64b4dcb5cd0420c25263003cff4f6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "34a3b6890e34b57b3eeef84b20a7946d386a6f6c8f55ef68b3990bbf5134a5a3",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-13T14:30:01Z",
"title_canon_sha256": "9d71bde8d9dbcf8706ddb7eefdbc8e601e05b83c61e0a601b1a3c2f99f2f76b3"
},
"schema_version": "1.0",
"source": {
"id": "2607.11607",
"kind": "arxiv",
"version": 1
}
}