Pith Number
pith:BXMSBBRD
pith:2021:BXMSBBRDXFYXG4RO3G77HANI3M
not attested
not anchored
not stored
refs pending
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
arxiv:2103.05351 v1 · 2021-03-09 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BXMSBBRDXFYXG4RO3G77HANI3M}
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 | 2026-07-05T02:21:25.208272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dd9208623b97173722ed9bff381a8db33e0ad9fc31a40b4353a5a90821eefd3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BXMSBBRDXFYXG4RO3G77HANI3M \
| 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: 0dd9208623b97173722ed9bff381a8db33e0ad9fc31a40b4353a5a90821eefd3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e3792e242a9237bc5fdf049a2f749f1fc8ca96e1f0efcfa2cb0c02feaac5617b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-03-09T11:01:02Z",
"title_canon_sha256": "dbec0e2f0eb30f0783fdac4b05ca1ed1fa0814dfae932f7914c0a0105a2f5614"
},
"schema_version": "1.0",
"source": {
"id": "2103.05351",
"kind": "arxiv",
"version": 1
}
}