Pith Number
pith:BOGJVTR5
pith:2018:BOGJVTR5BD5PCWXFD5WTPTTO2I
not attested
not anchored
not stored
refs pending
A frequency domain analysis of the error distribution from noisy high-frequency data
arxiv:1801.06669 v1 · 2018-01-20 · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOGJVTR5BD5PCWXFD5WTPTTO2I}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:57:54.214817Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b8c9ace3d08faf15ae51f6d37ce6ed2014e4459aca2b3ac428ae947fbab5f43
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOGJVTR5BD5PCWXFD5WTPTTO2I \
| 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: 0b8c9ace3d08faf15ae51f6d37ce6ed2014e4459aca2b3ac428ae947fbab5f43
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7eebe51ba3bb95528a48e3e981cd7d38ce2964195aa3410a197dfd5d91b93e80",
"cross_cats_sorted": [
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.ST",
"submitted_at": "2018-01-20T12:53:19Z",
"title_canon_sha256": "f4849d33d0439de365cafe55479f2ae4c0573935912605a0cd8b5409f4cf7296"
},
"schema_version": "1.0",
"source": {
"id": "1801.06669",
"kind": "arxiv",
"version": 1
}
}