Pith Number
pith:DSN4FMZM
pith:2025:DSN4FMZMIW2EAXQS6VQPUVOCY4
not attested
not anchored
not stored
refs pending
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
arxiv:2507.03122 v2 · 2025-07-03 · cs.IR · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DSN4FMZMIW2EAXQS6VQPUVOCY4}
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
· sign in to
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 | 2026-05-20T01:04:55.706667Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c9bc2b32c45b4405e12f560fa55c2c70786bc1862a7bf9037500405b99ea13a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DSN4FMZMIW2EAXQS6VQPUVOCY4 \
| 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: 1c9bc2b32c45b4405e12f560fa55c2c70786bc1862a7bf9037500405b99ea13a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1a773060ec17c8e784f683712e0f8889044d1490c1d89bf09c56e7fe83b57e1a",
"cross_cats_sorted": [
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2025-07-03T18:58:36Z",
"title_canon_sha256": "d7accca3c608003e7ab59a461e18baf1064a4a97ace01abb5f02d7c1ecbbb0b9"
},
"schema_version": "1.0",
"source": {
"id": "2507.03122",
"kind": "arxiv",
"version": 2
}
}