Pith Number
pith:JOGH23VQ
pith:2019:JOGH23VQAQORCUO4VQ7XRUOV4P
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Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals
arxiv:1905.10423 v1 · 2019-05-13 · cs.HC · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JOGH23VQAQORCUO4VQ7XRUOV4P}
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Record completeness
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Bitcoin timestamp
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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 | 2026-05-17T23:45:08.589160Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b8c7d6eb0041d1151dcac3f78d1d5e3f62055ec37cc4e09a05b3b096a2c0f37
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JOGH23VQAQORCUO4VQ7XRUOV4P \
| 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: 4b8c7d6eb0041d1151dcac3f78d1d5e3f62055ec37cc4e09a05b3b096a2c0f37
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8de9ef101d87be8e04e9ebf3007b10e7a035e6ef2a595856d0e38712d68416cb",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2019-05-13T23:11:41Z",
"title_canon_sha256": "dc667b966c1368ae9a4148cf65db41d7867e129230d1f836081a631d6fc250a4"
},
"schema_version": "1.0",
"source": {
"id": "1905.10423",
"kind": "arxiv",
"version": 1
}
}