Pith Number
pith:K2PQ44CE
pith:2026:K2PQ44CEKVODSFOA5OTN6DPHAD
not attested
not anchored
not stored
refs pending
SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care
arxiv:2601.16529 v3 · 2026-01-23 · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K2PQ44CEKVODSFOA5OTN6DPHAD}
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 | 2026-06-25T00:18:12.444255Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
569f0e7044555c3915c0eba6df0de700cb315f62670716a6009b9b4338aa5b3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K2PQ44CEKVODSFOA5OTN6DPHAD \
| 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: 569f0e7044555c3915c0eba6df0de700cb315f62670716a6009b9b4338aa5b3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72adb4c788aa0bc83c243b8941a6719414d57e07d4ba3b49c314a09e12461e1b",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-01-23T08:01:39Z",
"title_canon_sha256": "92383853a058cbfd87907f26a1d3b50722ec9fddbe1df9a418c9223c3c70ba1d"
},
"schema_version": "1.0",
"source": {
"id": "2601.16529",
"kind": "arxiv",
"version": 3
}
}