Pith Number
pith:D5FPSTRL
pith:2025:D5FPSTRLPXQNR2GLF5UCR44XHP
not attested
not anchored
not stored
refs pending
Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning Agents
arxiv:2501.05501 v2 · 2025-01-09 · cs.AI · cs.LG · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D5FPSTRLPXQNR2GLF5UCR44XHP}
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 | 2026-07-05T10:02:57.679325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f4af94e2b7de0d8e8cb2f6828f3973bec3a95cd4d2a873f759976bd9c0c453b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D5FPSTRLPXQNR2GLF5UCR44XHP \
| 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: 1f4af94e2b7de0d8e8cb2f6828f3973bec3a95cd4d2a873f759976bd9c0c453b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "20484a7c46319f9434fd032d8ca9c631ea2c7d15eb4c72b12cd0fd8f2fdfbea9",
"cross_cats_sorted": [
"cs.LG",
"cs.MA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-01-09T18:43:05Z",
"title_canon_sha256": "8a459c1f734e93fb52b19146eaf95e0925d8a5caace40104954e7aab5d357454"
},
"schema_version": "1.0",
"source": {
"id": "2501.05501",
"kind": "arxiv",
"version": 2
}
}