Pith Number
pith:QRG4QLBQ
pith:2019:QRG4QLBQSGQGPJLOND3NG6RQ6R
not attested
not anchored
not stored
refs pending
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
arxiv:1907.09466 v1 · 2019-07-19 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QRG4QLBQSGQGPJLOND3NG6RQ6R}
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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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 | 2026-05-17T23:39:53.153486Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
844dc82c3091a067a56e68f6d37a30f47774df2142872f2264be3ed4c84b2db6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QRG4QLBQSGQGPJLOND3NG6RQ6R \
| 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: 844dc82c3091a067a56e68f6d37a30f47774df2142872f2264be3ed4c84b2db6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eef55ee6cbbaedb6bd35e9250959ae5f3726566b6ea49a59e7f918417de4eeb0",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-07-19T19:38:02Z",
"title_canon_sha256": "a56286c0e2c2f2029b588a33e3335172509aab8646175f0953a17aafcbd3e253"
},
"schema_version": "1.0",
"source": {
"id": "1907.09466",
"kind": "arxiv",
"version": 1
}
}