Pith Number
pith:2R3NQIUY
pith:2019:2R3NQIUYFIETQKA4ZB3NHRBPCU
not attested
not anchored
not stored
refs pending
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction
arxiv:1906.00825 v1 · 2019-06-03 · cs.LG · cs.CV · cs.RO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2R3NQIUYFIETQKA4ZB3NHRBPCU}
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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 | 2026-05-17T23:44:23.779478Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d476d822982a0938281cc876d3c42f152317a1d6cef5bdf82a2cf0c35853ac07
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2R3NQIUYFIETQKA4ZB3NHRBPCU \
| 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: d476d822982a0938281cc876d3c42f152317a1d6cef5bdf82a2cf0c35853ac07
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d8c3be8bd3ad11a1806171afcc27fbd44c1ff74a8e33fb2aa3ed7d4ae917278d",
"cross_cats_sorted": [
"cs.CV",
"cs.RO",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-03T14:10:17Z",
"title_canon_sha256": "1f909e281cf67e9625fd1b55343276a540b69e6b777909142cfbeb4fe31effb6"
},
"schema_version": "1.0",
"source": {
"id": "1906.00825",
"kind": "arxiv",
"version": 1
}
}