Pith Number
pith:7HKXCSOS
pith:2017:7HKXCSOSMSMWCRWZMCE2LLA6KD
not attested
not anchored
not stored
refs pending
A Statistical Machine Learning Approach to Yield Curve Forecasting
arxiv:1703.01536 v1 · 2017-03-04 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HKXCSOSMSMWCRWZMCE2LLA6KD}
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 | 2026-05-18T00:49:30.378978Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9d57149d264996146d96089a5ac1e50f1b5848d6bf9d4c59b6ae566c8638179
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HKXCSOSMSMWCRWZMCE2LLA6KD \
| 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: f9d57149d264996146d96089a5ac1e50f1b5848d6bf9d4c59b6ae566c8638179
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "774e80931d6b28bf99c0a9f001763865022f3d1073e0e69c4d6794db629adae7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-03-04T23:43:36Z",
"title_canon_sha256": "1867aa3632d58af628434bc2f5893ac7f8cf5f77d2281ea6e9624f841be7550e"
},
"schema_version": "1.0",
"source": {
"id": "1703.01536",
"kind": "arxiv",
"version": 1
}
}