Pith Number
pith:QNXVDRPV
pith:2017:QNXVDRPV6TVKFIBMZXHNRT4U6K
not attested
not anchored
not stored
refs pending
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
arxiv:1703.06907 v1 · 2017-03-20 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QNXVDRPV6TVKFIBMZXHNRT4U6K}
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 | 2026-05-18T00:48:13.968586Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
836f51c5f5f4eaa2a02ccdced8cf94f2a0e14ffe17bf475b71381c2a09b059a0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QNXVDRPV6TVKFIBMZXHNRT4U6K \
| 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: 836f51c5f5f4eaa2a02ccdced8cf94f2a0e14ffe17bf475b71381c2a09b059a0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d1e0aa427165d4bb633f1d840cfd1de0637e00266d1732a05fcd989d5b5b673e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-03-20T18:17:25Z",
"title_canon_sha256": "5d38e8f7979b30da1050c3ba41a4fb1228422c3a21f7673a620c50b42d7ddc0f"
},
"schema_version": "1.0",
"source": {
"id": "1703.06907",
"kind": "arxiv",
"version": 1
}
}