Pith Number
pith:2BFV723O
pith:2017:2BFV723OPMEWFBGDKF5TEJCQUH
not attested
not anchored
not stored
refs pending
Machine Learning Techniques for Mortality Modeling
arxiv:1705.03396 v1 · 2017-05-07 · stat.AP · q-fin.ST
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2BFV723OPMEWFBGDKF5TEJCQUH}
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
✓
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 | 2026-05-18T00:44:48.001460Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d04b5feb6e7b096284c3517b322450a1ceec77973f3458e8fa7ffb2b4b5d2b21
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2BFV723OPMEWFBGDKF5TEJCQUH \
| 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: d04b5feb6e7b096284c3517b322450a1ceec77973f3458e8fa7ffb2b4b5d2b21
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "427728d061717638db87eb27bee9bd4487e23e981cda8e59f8993ab4406fd44e",
"cross_cats_sorted": [
"q-fin.ST"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2017-05-07T13:37:37Z",
"title_canon_sha256": "7ae7e195cf1dd169e5cab693ea17aeba377fbfd1c0935e4693856a1d90567e92"
},
"schema_version": "1.0",
"source": {
"id": "1705.03396",
"kind": "arxiv",
"version": 1
}
}