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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

Indranil Ghosh, Tamal Datta Chaudhuri

arxiv:1604.05008 v1 · 2016-04-18 · cs.NE

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2PVKYOOLWGNKPA7LFCCUUXNXUL}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 1604.05008 · arxiv_version: 1604.05008v1 · doi: 10.48550/arxiv.1604.05008 · pith_short_12: 2PVKYOOLWGNK · pith_short_16: 2PVKYOOLWGNKPA7L · pith_short_8: 2PVKYOOL
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
  }
}