Pith Number
pith:LYP7IHXB
pith:2022:LYP7IHXBMCRI53LSK3V5FAAU36
not attested
not anchored
not stored
refs pending
Improving Phishing Detection Via Psychological Trait Scoring
arxiv:2208.06792 v1 · 2022-08-14 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYP7IHXBMCRI53LSK3V5FAAU36}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:48:20.774592Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e1ff41ee160a28eed7256ebd28014df8923e3f2d2a6f49355e282536efd6b1a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYP7IHXBMCRI53LSK3V5FAAU36 \
| 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: 5e1ff41ee160a28eed7256ebd28014df8923e3f2d2a6f49355e282536efd6b1a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cab621d3a7de0f91546e00e8e4960bbffb73ba6cda7b3a771793a1e7efe63a49",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SI",
"submitted_at": "2022-08-14T06:39:27Z",
"title_canon_sha256": "e152b464384a8f245db3561b36a9d6348b960443436f12b403fc1ed2592190c1"
},
"schema_version": "1.0",
"source": {
"id": "2208.06792",
"kind": "arxiv",
"version": 1
}
}