Pith Number
pith:KBDFEMSE
pith:2016:KBDFEMSEM4MOOHCFXYAVZBCIOD
not attested
not anchored
not stored
refs pending
Using Clustering Method to Understand Indian Stock Market Volatility
arxiv:1604.05015 v1 · 2016-04-18 · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBDFEMSEM4MOOHCFXYAVZBCIOD}
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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 | 2026-05-18T01:16:56.052808Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50465232446718e71c45be015c844870efe405f40de23921092a205d7c107417
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBDFEMSEM4MOOHCFXYAVZBCIOD \
| 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: 50465232446718e71c45be015c844870efe405f40de23921092a205d7c107417
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab12e06aeb6ded0e819a20c3b036e2ce6b705a456aebca3e7695cc8bcf922e1a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CE",
"submitted_at": "2016-04-18T06:58:30Z",
"title_canon_sha256": "faee2ddb8bba1bce6467de49e02432a3288c90e72f51a168d78f2f3bd2a0b968"
},
"schema_version": "1.0",
"source": {
"id": "1604.05015",
"kind": "arxiv",
"version": 1
}
}