Pith Number
pith:BKNRHOZZ
pith:2019:BKNRHOZZFG3K6OFR4HLXLNFI3O
not attested
not anchored
not stored
refs pending
Speaker Sincerity Detection based on Covariance Feature Vectors and Ensemble Methods
arxiv:1904.11641 v1 · 2019-04-26 · cs.SD · cs.CL · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BKNRHOZZFG3K6OFR4HLXLNFI3O}
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 | 2026-05-17T23:47:43.144208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0a9b13bb3929b6af38b1e1d775b4a8dba0f47d7ca1cdbab5e15689fd4575c9ad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BKNRHOZZFG3K6OFR4HLXLNFI3O \
| 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: 0a9b13bb3929b6af38b1e1d775b4a8dba0f47d7ca1cdbab5e15689fd4575c9ad
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c089115954ff688ef692fc3b66e35fec7253cf68a1f550659e2144d80620dcc",
"cross_cats_sorted": [
"cs.CL",
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2019-04-26T01:42:41Z",
"title_canon_sha256": "3e47d694e829e3528ebc2f484d58f8d13bd44b9e18b9dcf3ec31b051de7fc4fe"
},
"schema_version": "1.0",
"source": {
"id": "1904.11641",
"kind": "arxiv",
"version": 1
}
}