Pith Number
pith:FTDE5HJS
pith:2024:FTDE5HJS7ZU7VRPXDYUE2USJFF
not attested
not anchored
not stored
refs pending
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
arxiv:2402.00955 v2 · 2024-02-01 · cs.LG · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FTDE5HJS7ZU7VRPXDYUE2USJFF}
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 | 2026-07-05T08:51:46.560584Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cc64e9d32fe69fac5f71e284d5249294b0fc3c3c5b9ad8e28f71885060d3b9c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FTDE5HJS7ZU7VRPXDYUE2USJFF \
| 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: 2cc64e9d32fe69fac5f71e284d5249294b0fc3c3c5b9ad8e28f71885060d3b9c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14ea4d5352344e4947db91fdff92eef12eeeecd1f443e4cd9526479bf2e31486",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-01T19:24:45Z",
"title_canon_sha256": "2ab5a482bd978b53bcba2058b41fa43f4e89b2c9acda0a81e90e850024374bd5"
},
"schema_version": "1.0",
"source": {
"id": "2402.00955",
"kind": "arxiv",
"version": 2
}
}