Pith Number
pith:MLM7BOY4
pith:2025:MLM7BOY43EPKX3GD7SLSLJOC4O
not attested
not anchored
not stored
refs pending
KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models
arxiv:2505.14629 v1 · 2025-05-20 · cs.LG · cs.AI · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLM7BOY43EPKX3GD7SLSLJOC4O}
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 | 2026-07-05T11:06:16.668985Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62d9f0bb1cd91eabecc3fc9725a5c2e3871ba26376d08ade58410103c6c1bf26
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLM7BOY43EPKX3GD7SLSLJOC4O \
| 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: 62d9f0bb1cd91eabecc3fc9725a5c2e3871ba26376d08ade58410103c6c1bf26
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "80ee3342ba5b366c37fafa9df66dec48c74b9e2aaebfb1939fa5f0df3dfa6215",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-20T17:19:57Z",
"title_canon_sha256": "bd253da010708a62bf2502c0a8bd33f64eb4f2dee694b05bfcce40c55db33cd0"
},
"schema_version": "1.0",
"source": {
"id": "2505.14629",
"kind": "arxiv",
"version": 1
}
}