Pith Number
pith:TNMTPU5T
pith:2021:TNMTPU5TEEQI75BC4VUB4IXQTT
not attested
not anchored
not stored
refs pending
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity
arxiv:2107.10790 v1 · 2021-07-18 · eess.SP · cs.AI · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TNMTPU5TEEQI75BC4VUB4IXQTT}
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 | 2026-07-05T03:00:03.676653Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b5937d3b321208ff422e5681e22f09cf51bcd8cc5699992867b60da12debef3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TNMTPU5TEEQI75BC4VUB4IXQTT \
| 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: 9b5937d3b321208ff422e5681e22f09cf51bcd8cc5699992867b60da12debef3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aaeafb7c0f879cc050d2df453e25021599a2b6a2ab964d19c31d06e44b5f6cfa",
"cross_cats_sorted": [
"cs.AI",
"cs.HC",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-07-18T14:44:53Z",
"title_canon_sha256": "b6a4bcad8917f4025701e1e292f578b755689d269d69bc29c87520abbdbadcf7"
},
"schema_version": "1.0",
"source": {
"id": "2107.10790",
"kind": "arxiv",
"version": 1
}
}