Pith Number
pith:4WZYHFDX
pith:2021:4WZYHFDXSJH5BCG2X4PXV4ESH4
not attested
not anchored
not stored
refs pending
Minimizing subject-dependent calibration for BCI with Riemannian transfer learning
arxiv:2111.12071 v1 · 2021-11-23 · eess.SP · cs.HC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4WZYHFDXSJH5BCG2X4PXV4ESH4}
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 | 2026-07-05T03:34:55.181206Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e5b3839477924fd088dabf1f7af0923f260cacc3e158c116f7b78da8a70dabc8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4WZYHFDXSJH5BCG2X4PXV4ESH4 \
| 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: e5b3839477924fd088dabf1f7af0923f260cacc3e158c116f7b78da8a70dabc8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b1ae8ce0c9ed289497d60e13ec6a9b8a627ec75afb1289b82223cc02fcb6d0b7",
"cross_cats_sorted": [
"cs.HC",
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-11-23T18:37:58Z",
"title_canon_sha256": "94376455ee83051e1102583b489aad345b68a4176512ac0730c7fdc08338cb85"
},
"schema_version": "1.0",
"source": {
"id": "2111.12071",
"kind": "arxiv",
"version": 1
}
}