Pith Number
pith:LGRRRFAK
pith:2024:LGRRRFAKTZP2NGQEJU5HE5IWHO
not attested
not anchored
not stored
refs pending
A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data
arxiv:2411.12274 v1 · 2024-11-19 · cs.LG · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LGRRRFAKTZP2NGQEJU5HE5IWHO}
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 | 2026-07-05T09:37:43.635626Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59a318940a9e5fa69a044d3a7275163b988e1a7cc97b1f12ccf2385ea0f2b3e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LGRRRFAKTZP2NGQEJU5HE5IWHO \
| 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: 59a318940a9e5fa69a044d3a7275163b988e1a7cc97b1f12ccf2385ea0f2b3e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "052a10aaf09ea430c4811c54598b704bc7856b244fca041563b0968d7ee35b11",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-19T06:53:54Z",
"title_canon_sha256": "f7ecce459aaed9be4c3c445c08eeb28efdf64222b5a36f491e83297889b5fc97"
},
"schema_version": "1.0",
"source": {
"id": "2411.12274",
"kind": "arxiv",
"version": 1
}
}