Pith Number
pith:3FLTWIQZ
pith:2025:3FLTWIQZ7XYJ4U6SXOAMX2NOMJ
not attested
not anchored
not stored
refs pending
Quantum Powered Credit Risk Assessment: A Novel Approach using hybrid Quantum-Classical Deep Neural Network for Row-Type Dependent Predictive Analysis
arxiv:2502.07806 v1 · 2025-02-06 · q-fin.CP · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3FLTWIQZ7XYJ4U6SXOAMX2NOMJ}
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 | 2026-07-05T10:13:10.207928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9573b2219fdf09e53d2bb80cbe9ae62781f8a5e37a4899a465ea110a6635d61
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3FLTWIQZ7XYJ4U6SXOAMX2NOMJ \
| 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: d9573b2219fdf09e53d2bb80cbe9ae62781f8a5e37a4899a465ea110a6635d61
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6624176a3626cf1e815b66bcb08ad3358421c6e3c8467a5d3023c8ec2c7e0af9",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "q-fin.CP",
"submitted_at": "2025-02-06T10:57:18Z",
"title_canon_sha256": "58feee0ef396db9b73ef750554149d2e596298fce3440d73a1151a47fd037730"
},
"schema_version": "1.0",
"source": {
"id": "2502.07806",
"kind": "arxiv",
"version": 1
}
}