Pith Number
pith:KZOX76MP
pith:2019:KZOX76MPQT2V4WZ4R2N6NILMQX
not attested
not anchored
not stored
refs pending
Attention-based Deep Reinforcement Learning for Multi-view Environments
arxiv:1905.03985 v1 · 2019-05-10 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZOX76MPQT2V4WZ4R2N6NILMQX}
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 | 2026-05-17T23:46:34.953025Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
565d7ff98f84f55e5b3c8e9be6a16c85e3de9e0dc3752c9a46dacd005d9109c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZOX76MPQT2V4WZ4R2N6NILMQX \
| 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: 565d7ff98f84f55e5b3c8e9be6a16c85e3de9e0dc3752c9a46dacd005d9109c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7d63331c50089590631f3e1d757a3c04e66c3b7e8ad3df95179d1c5f8587b12",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-10T07:39:39Z",
"title_canon_sha256": "810751aabd6d85cf02caf5df498e3300574af4f15b37c22a5aa2ba26930562c5"
},
"schema_version": "1.0",
"source": {
"id": "1905.03985",
"kind": "arxiv",
"version": 1
}
}