Pith Number
pith:2PVKYOOL
pith:2016:2PVKYOOLWGNKPA7LFCCUUXNXUL
not attested
not anchored
not stored
refs pending
Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs
arxiv:1604.05008 v1 · 2016-04-18 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2PVKYOOLWGNKPA7LFCCUUXNXUL}
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 | 2026-05-18T01:16:56.091709Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3eaac39cbb19aa783eb28854a5db7a2ce94dd286c71a153c261729d38a10ad7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2PVKYOOLWGNKPA7LFCCUUXNXUL \
| 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: d3eaac39cbb19aa783eb28854a5db7a2ce94dd286c71a153c261729d38a10ad7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "573d21767edbc2cec69c395ceeabd23cf09cd9b20ab0fa27db90d56d075c04f1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-04-18T06:29:01Z",
"title_canon_sha256": "68704ba56c220795c78f683252f9bba1066e69c3126569af483952054eca3ee6"
},
"schema_version": "1.0",
"source": {
"id": "1604.05008",
"kind": "arxiv",
"version": 1
}
}