Pith Number
pith:AYYEDNWG
pith:2018:AYYEDNWG4GWCCPJ6ACNOX4PRMY
not attested
not anchored
not stored
refs pending
Online Human Gesture Recognition using Recurrent Neural Networks and Wearable Sensors
arxiv:1810.11297 v1 · 2018-10-26 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AYYEDNWG4GWCCPJ6ACNOX4PRMY}
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 | 2026-05-18T00:01:06.597130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
063041b6c6e1ac213d3e009aebf1f1662761616a72255ab2bb7ea1da65d2ccd0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AYYEDNWG4GWCCPJ6ACNOX4PRMY \
| 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: 063041b6c6e1ac213d3e009aebf1f1662761616a72255ab2bb7ea1da65d2ccd0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e77ebddc7e0d0021c44ff492c50ea3d9836144e533463d0bc7dd948f20a5237",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-10-26T12:52:10Z",
"title_canon_sha256": "0fcd83e0bca8f39f8ad61dc34a25a34979318dfa868ff2b40eaef22e667a3b8b"
},
"schema_version": "1.0",
"source": {
"id": "1810.11297",
"kind": "arxiv",
"version": 1
}
}