Pith Number
pith:FX3MKW7S
pith:2026:FX3MKW7SZEBC44VQI623GVBORB
not attested
not anchored
not stored
refs pending
Regulatory Considerations for Using Artificial Intelligence Models to Reduce Sample Sizes in Registrational Studies
arxiv:2605.23246 v1 · 2026-05-22 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FX3MKW7SZEBC44VQI623GVBORB}
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
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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 | 2026-05-25T02:01:45.526199Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2df6c55bf2c9022e72b047b5b3542e8845dd6324194dfadb149fea07d673769c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FX3MKW7SZEBC44VQI623GVBORB \
| 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: 2df6c55bf2c9022e72b047b5b3542e8845dd6324194dfadb149fea07d673769c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "785e6e62074ba4f49443bae5343c80e67e3271f291cfa2de1fca7a520bdacb1c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2026-05-22T05:30:06Z",
"title_canon_sha256": "69cfcb3e4b2411a08414e3ce96f1652581f18ce500930b429449223e1554c60f"
},
"schema_version": "1.0",
"source": {
"id": "2605.23246",
"kind": "arxiv",
"version": 1
}
}