Pith Number
pith:FNONAPQ7
pith:2026:FNONAPQ7SONBK3SW5JNPESNUJ2
not attested
not anchored
not stored
refs pending
Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning
arxiv:2606.01301 v1 · 2026-05-31 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FNONAPQ7SONBK3SW5JNPESNUJ2}
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 | 2026-06-02T02:04:29.510185Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b5cd03e1f939a156e56ea5af249b44e993905678b54947e9c3ce03c6c541c4d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FNONAPQ7SONBK3SW5JNPESNUJ2 \
| 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: 2b5cd03e1f939a156e56ea5af249b44e993905678b54947e9c3ce03c6c541c4d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6fa702b6bfdbe333fd27e97986692052344c4612ba9ae86eabfe211d49aa95d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-05-31T15:43:42Z",
"title_canon_sha256": "7a06ca6b94a090fc404eb77a91d2bca738120eace323fd99ba6dfe52ac0a3eab"
},
"schema_version": "1.0",
"source": {
"id": "2606.01301",
"kind": "arxiv",
"version": 1
}
}