Pith Number
pith:2PFAZHT6
pith:2017:2PFAZHT6SV4TMODHRBZKZLR42L
not attested
not anchored
not stored
refs pending
Online Adaptive Machine Learning Based Algorithm for Implied Volatility Surface Modeling
arxiv:1706.01833 v2 · 2017-06-06 · stat.ML · cs.LG · q-fin.CP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2PFAZHT6SV4TMODHRBZKZLR42L}
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 | 2026-05-18T00:14:01.078443Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3ca0c9e7e95793638678872acae3cd2eb5a7cb9e1981efddc1256e6d70f95f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2PFAZHT6SV4TMODHRBZKZLR42L \
| 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: d3ca0c9e7e95793638678872acae3cd2eb5a7cb9e1981efddc1256e6d70f95f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a86fba4245161b1610f8dee42a5300715ebab1ab3a1d238df9e9ae2ef88f73c3",
"cross_cats_sorted": [
"cs.LG",
"q-fin.CP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-06-06T16:09:57Z",
"title_canon_sha256": "172a57d4be568b84c456ad20a061f1b78d1f04a4dc7c8552410e596b0e2f9430"
},
"schema_version": "1.0",
"source": {
"id": "1706.01833",
"kind": "arxiv",
"version": 2
}
}