Pith Number
pith:2MF7H67O
pith:2019:2MF7H67OAYHBYQBM63G6ETABRO
not attested
not anchored
not stored
refs pending
Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks
arxiv:1902.05176 v2 · 2019-02-14 · cs.RO · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2MF7H67OAYHBYQBM63G6ETABRO}
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Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-05-17T23:42:13.715084Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d30bf3fbee060e1c402cf6cde24c018ba6ba8af2a93bd426dc66c914894792a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2MF7H67OAYHBYQBM63G6ETABRO \
| 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: d30bf3fbee060e1c402cf6cde24c018ba6ba8af2a93bd426dc66c914894792a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "021cb616dbf9bcba4b115818b1812a1f6c33f8683737c2466e42da574d670b20",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-02-14T00:53:07Z",
"title_canon_sha256": "50c7b1062c8396e7b33f5a577d4a6a8e13fb6f4fb009eb3f0f1ab4bc2a6bf225"
},
"schema_version": "1.0",
"source": {
"id": "1902.05176",
"kind": "arxiv",
"version": 2
}
}