Pith Number
pith:TI7KLZ5J
pith:2020:TI7KLZ5J7CMQDK6OFJF3I7FF3R
not attested
not anchored
not stored
refs pending
A novel convolutional neural network model to remove muscle artifacts from EEG
arxiv:2010.11709 v2 · 2020-10-22 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TI7KLZ5J7CMQDK6OFJF3I7FF3R}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T02:14:55.548114Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a3ea5e7a9f89901abce2a4bb47ca5dc7b3bbece46ce994d1cf4aee9049fe17a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TI7KLZ5J7CMQDK6OFJF3I7FF3R \
| 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: 9a3ea5e7a9f89901abce2a4bb47ca5dc7b3bbece46ce994d1cf4aee9049fe17a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "153a7c8dac1d71c0c7d94d836e80c3171928086a8556650af639720123631c48",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2020-10-22T13:33:52Z",
"title_canon_sha256": "deb0b20e68f32357ff4a17968d800565ad9daf5ae6c2dcc633938415442e12d8"
},
"schema_version": "1.0",
"source": {
"id": "2010.11709",
"kind": "arxiv",
"version": 2
}
}