Pith Number
pith:XHWETILD
pith:2025:XHWETILDHPWN6MMNH2LGUULU5B
not attested
not anchored
not stored
refs pending
Revealing Treatment Non-Adherence Bias in Clinical Machine Learning Using Large Language Models
arxiv:2502.19625 v2 · 2025-02-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XHWETILDHPWN6MMNH2LGUULU5B}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:51:33.911951Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9ec49a1633becdf318d3e966a5174e8596b6cb571a5a4a653a8b4c2a53396b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XHWETILDHPWN6MMNH2LGUULU5B \
| 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: b9ec49a1633becdf318d3e966a5174e8596b6cb571a5a4a653a8b4c2a53396b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2f988cdb2cc5010a054000fab3f67782b706692bb6eff9f61b961424332d83f5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-26T23:30:55Z",
"title_canon_sha256": "024ac5803a1eeb9d2ab9ac84331905771830004b0744e4ed5dd8e4fa07b0c1fb"
},
"schema_version": "1.0",
"source": {
"id": "2502.19625",
"kind": "arxiv",
"version": 2
}
}