Pith Number
pith:GHI4KEEX
pith:2023:GHI4KEEXFB6LNS5P23C724ZV4M
not attested
not anchored
not stored
refs pending
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms
arxiv:2302.02740 v1 · 2023-02-06 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHI4KEEXFB6LNS5P23C724ZV4M}
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 | 2026-07-05T05:39:06.314552Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31d1c51097287cb6cbafd6c5fd7335e33a9d84ef63f42f629be06617ad3cd352
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHI4KEEXFB6LNS5P23C724ZV4M \
| 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: 31d1c51097287cb6cbafd6c5fd7335e33a9d84ef63f42f629be06617ad3cd352
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9da9a516ede3c3c72bb6b21030bfa2ede3035f5d558628c00820a8bc73996ead",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2023-02-06T12:36:34Z",
"title_canon_sha256": "81512e75236e6fce783eb8facc241b0e111533181e0764ad2a045c3c2748dccc"
},
"schema_version": "1.0",
"source": {
"id": "2302.02740",
"kind": "arxiv",
"version": 1
}
}