Pith Number
pith:6MD6D3UK
pith:2017:6MD6D3UKSFVIW4DX4EKNIGYPVT
not attested
not anchored
not stored
refs pending
Robust estimators for generalized linear models with a dispersion parameter
arxiv:1703.09626 v1 · 2017-03-28 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6MD6D3UKSFVIW4DX4EKNIGYPVT}
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 | 2026-05-18T00:47:44.013093Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f307e1ee8a916a8b7077e114d41b0facf093e7d17f0e169119d9fdcf0be0d496
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6MD6D3UKSFVIW4DX4EKNIGYPVT \
| 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: f307e1ee8a916a8b7077e114d41b0facf093e7d17f0e169119d9fdcf0be0d496
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c00c7fd595590be3418f0988058bc36c3ebcd4f007e65bedd55aa3030c73a7b1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2017-03-28T15:09:31Z",
"title_canon_sha256": "4ad4d4e84b762af78030d6bb1834f8d581c0bf6976fa8cbcb87be0df73e6cd90"
},
"schema_version": "1.0",
"source": {
"id": "1703.09626",
"kind": "arxiv",
"version": 1
}
}