Pith Number
pith:ZKKTKJQF
pith:2019:ZKKTKJQFOFNUHROZPSHWDRQTZI
not attested
not anchored
not stored
refs pending
What is an Ordinal Latent Trait Model?
arxiv:1902.06303 v1 · 2019-02-17 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZKKTKJQFOFNUHROZPSHWDRQTZI}
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 | 2026-05-17T23:53:45.924758Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ca95352605715b43c5d97c8f61c613ca1b4aeacfaa083b55f815210685845b23
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZKKTKJQFOFNUHROZPSHWDRQTZI \
| 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: ca95352605715b43c5d97c8f61c613ca1b4aeacfaa083b55f815210685845b23
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c4749a62e006cb98aeb6b4e5b62904084d7f3bb86cf76a491baaf45fb3b5fca",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2019-02-17T18:16:33Z",
"title_canon_sha256": "85e3a6a55ea207c94e0a963ac280c33e06ec973a508dc61367a108bcdc077472"
},
"schema_version": "1.0",
"source": {
"id": "1902.06303",
"kind": "arxiv",
"version": 1
}
}