Pith Number
pith:ISWYMMEI
pith:2018:ISWYMMEIR52QE372MV7H25SGC4
not attested
not anchored
not stored
refs pending
Calibrating rough volatility models: a convolutional neural network approach
arxiv:1812.05315 v3 · 2018-12-13 · q-fin.CP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ISWYMMEIR52QE372MV7H25SGC4}
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 | 2026-05-17T23:39:25.235510Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44ad8630888f75026ffa657e7d7646172464b040c869926e275b2c22fd01437e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ISWYMMEIR52QE372MV7H25SGC4 \
| 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: 44ad8630888f75026ffa657e7d7646172464b040c869926e275b2c22fd01437e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e578fe5795522cf3f8595dbf382f80c71effa0ca236cf67436f57dbbb42ec26",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-fin.CP",
"submitted_at": "2018-12-13T08:50:07Z",
"title_canon_sha256": "06fda8e4ca7febc52056a9f655b090e6ff52b038820f4475db075aa97e0cc3e6"
},
"schema_version": "1.0",
"source": {
"id": "1812.05315",
"kind": "arxiv",
"version": 3
}
}