Pith Number
pith:PVVWNOI7
pith:2017:PVVWNOI7QURMWQ5KEYRL7JWJZQ
not attested
not anchored
not stored
refs pending
Communications that Emerge through Reinforcement Learning Using a (Recurrent) Neural Network
arxiv:1703.03543 v2 · 2017-03-10 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PVVWNOI7QURMWQ5KEYRL7JWJZQ}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:44:23.315437Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7d6b66b91f8522cb43aa2622bfa6c9cc0c625ec94f4dba7fde2dc19f68d03040
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PVVWNOI7QURMWQ5KEYRL7JWJZQ \
| 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: 7d6b66b91f8522cb43aa2622bfa6c9cc0c625ec94f4dba7fde2dc19f68d03040
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9ad8e8a664cac5f4bbdba930dfcf79397f5316b931c14069494d0be7d582123b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-03-10T04:41:29Z",
"title_canon_sha256": "79e40b950bc6b7072188f03bb86bdc8aebad93619cf628af56d4de335c6216da"
},
"schema_version": "1.0",
"source": {
"id": "1703.03543",
"kind": "arxiv",
"version": 2
}
}