Pith Number
pith:FBM4J7XE
pith:2026:FBM4J7XEUSIANG6HI5DJGEGY3U
not attested
not anchored
not stored
refs pending
Principled Uncertainty in Clinical AI: End-to-End Bayesian Modelling and Algorithmic Equity Auditing Across Multimodal Patient Data
arxiv:2606.09789 v1 · 2026-06-08 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FBM4J7XEUSIANG6HI5DJGEGY3U}
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 | 2026-06-09T02:09:09.998018Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2859c4fee4a490069bc747469310d8dd320c3936e0f8f2a7d5461f5bf13cc44b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FBM4J7XEUSIANG6HI5DJGEGY3U \
| 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: 2859c4fee4a490069bc747469310d8dd320c3936e0f8f2a7d5461f5bf13cc44b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d340fd2a1d86ec00f7be25049902a7e55ccb1e98414d20d0098673695d2189f7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2026-06-08T17:44:15Z",
"title_canon_sha256": "c24ca2180df4b12a1c2657951b4859d5cbcd564d113fe9dfa82064943e32f057"
},
"schema_version": "1.0",
"source": {
"id": "2606.09789",
"kind": "arxiv",
"version": 1
}
}