Pith Number
pith:UBLOUWS5
pith:2025:UBLOUWS5IKBXBKWB4TPU22T356
not attested
not anchored
not stored
refs pending
Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition
arxiv:2507.11680 v1 · 2025-07-15 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UBLOUWS5IKBXBKWB4TPU22T356}
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 | 2026-07-05T11:37:48.555290Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a056ea5a5d428370aac1e4df4d6a7bef8d4ac339c2609abd8a48a3114c669402
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UBLOUWS5IKBXBKWB4TPU22T356 \
| 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: a056ea5a5d428370aac1e4df4d6a7bef8d4ac339c2609abd8a48a3114c669402
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "63444d86c83917c86c83f313c4c9699efce3055b8609667099527f166184919c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-07-15T19:36:03Z",
"title_canon_sha256": "41491018b421b51cf6f7c1060fd006d5397cc0e96b0f5d17e4457501db77f1b3"
},
"schema_version": "1.0",
"source": {
"id": "2507.11680",
"kind": "arxiv",
"version": 1
}
}