Pith Number
pith:Z2INDZDZ
pith:2020:Z2INDZDZILBUZO3G7C6M2NQSH4
not attested
not anchored
not stored
refs pending
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition
arxiv:2005.00777 v3 · 2020-05-02 · eess.SP · cs.CV · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z2INDZDZILBUZO3G7C6M2NQSH4}
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 | 2026-07-05T03:36:51.154364Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce90d1e47942c34cbb66f8bccd36123f386425744a2ba7517da1d72fcad8c10b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z2INDZDZILBUZO3G7C6M2NQSH4 \
| 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: ce90d1e47942c34cbb66f8bccd36123f386425744a2ba7517da1d72fcad8c10b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "31f556b71aab93b426b0c6ff1911e328559dd62a21d0fcc20db8825a1003c62f",
"cross_cats_sorted": [
"cs.CV",
"cs.HC",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2020-05-02T10:03:40Z",
"title_canon_sha256": "c1ad6a85035659ded67da8cf1eeae3bffff5d65778c4ae84dc459ce1a420e137"
},
"schema_version": "1.0",
"source": {
"id": "2005.00777",
"kind": "arxiv",
"version": 3
}
}