Pith Number
pith:DSJ72TA7
pith:2020:DSJ72TA7RSSEJTGZ5XCEM5J3OA
not attested
not anchored
not stored
refs pending
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks
arxiv:2012.05342 v1 · 2020-11-20 · cs.CV · cs.HC · cs.LG · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DSJ72TA7RSSEJTGZ5XCEM5J3OA}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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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 | 2026-07-05T01:58:22.651892Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c93fd4c1f8ca444ccd9edc446753b7007b3fd665c9603b9d01b70d950f1d4e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DSJ72TA7RSSEJTGZ5XCEM5J3OA \
| 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: 1c93fd4c1f8ca444ccd9edc446753b7007b3fd665c9603b9d01b70d950f1d4e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "21344b004c0b6b680d62d4615e4c0c269df555d8ef3bd679501f6e5d12286b52",
"cross_cats_sorted": [
"cs.HC",
"cs.LG",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-11-20T09:55:12Z",
"title_canon_sha256": "488986323b3b001d96239eaa60ecc11dcb6e6b7d0deec4415a47407b04b38bc4"
},
"schema_version": "1.0",
"source": {
"id": "2012.05342",
"kind": "arxiv",
"version": 1
}
}