Pith Number
pith:MCQMVIWL
pith:2019:MCQMVIWLO3R76TD7O5TOYH3OSU
not attested
not anchored
not stored
refs pending
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
arxiv:1907.00456 v2 · 2019-06-30 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MCQMVIWLO3R76TD7O5TOYH3OSU}
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
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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 | 2026-05-17T23:41:17.029130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
60a0caa2cb76e3ff4c7f7766ec1f6e951b49bd8dd6e1cb19ab5873bcd043b8fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MCQMVIWLO3R76TD7O5TOYH3OSU \
| 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: 60a0caa2cb76e3ff4c7f7766ec1f6e951b49bd8dd6e1cb19ab5873bcd043b8fe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "05b5d99512a3744648aac17c70914a96cdc29a1128bfa051a1171409f9148b82",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-30T20:53:19Z",
"title_canon_sha256": "edb9f11dda92f2c090f26a59390efb333c67c887e01c84879fc1797f4815041d"
},
"schema_version": "1.0",
"source": {
"id": "1907.00456",
"kind": "arxiv",
"version": 2
}
}