Pith Number
pith:MLMU2LDR
pith:2020:MLMU2LDR4Z6SMH3VHLCJQGREZG
not attested
not anchored
not stored
refs pending
Ensemble emotion recognizing with multiple modal physiological signals
arxiv:2001.00191 v1 · 2020-01-01 · cs.LG · eess.SP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLMU2LDR4Z6SMH3VHLCJQGREZG}
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 | 2026-07-05T00:29:21.949576Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62d94d2c71e67d261f753ac4981a24c9ac32217221cd410443dc922568103af0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLMU2LDR4Z6SMH3VHLCJQGREZG \
| 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: 62d94d2c71e67d261f753ac4981a24c9ac32217221cd410443dc922568103af0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "adaed182bf13bf7965fd4057ce48fda32fa6cfc6358e9faf1bfb3c692c08936a",
"cross_cats_sorted": [
"eess.SP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-01-01T11:44:43Z",
"title_canon_sha256": "ef77404f002a286225750f966cb6dcea23ea7179e52079bb8b4132b57b1f47a7"
},
"schema_version": "1.0",
"source": {
"id": "2001.00191",
"kind": "arxiv",
"version": 1
}
}