Pith Number
pith:74R2CZ6N
pith:2016:74R2CZ6N7LXAJXDDDQFEN3LEGS
not attested
not anchored
not stored
refs pending
A New Bayesian Approach to Robustness Against Outliers in Linear Regression
arxiv:1612.06198 v4 · 2016-12-19 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{74R2CZ6N7LXAJXDDDQFEN3LEGS}
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 | 2026-05-17T23:43:33.569673Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff23a167cdfaee04dc631c0a46ed643490d8630b62711426d57229e691a68189
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74R2CZ6N7LXAJXDDDQFEN3LEGS \
| 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: ff23a167cdfaee04dc631c0a46ed643490d8630b62711426d57229e691a68189
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c14e73546c6bfef28934fbd55ba9b89454278347b30dcfe5212beea38e4d965d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2016-12-19T14:26:53Z",
"title_canon_sha256": "3e21a9f7bf620e5a86f6cba473e20af958d4eccabdf590306dd9b77a47be6e63"
},
"schema_version": "1.0",
"source": {
"id": "1612.06198",
"kind": "arxiv",
"version": 4
}
}