Pith Number
pith:HMQUKZ5X
pith:2026:HMQUKZ5XWYEAXILTXVVHWHEMUJ
not attested
not anchored
not stored
refs pending
Food Image Segmentation with LLM-Derived Ingredient Labels and Multimodal Fusion
arxiv:2607.25820 v1 · 2026-07-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HMQUKZ5XWYEAXILTXVVHWHEMUJ}
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 | 2026-07-29T01:26:04.646607Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b214567b7b6080ba173bd6a7b1c8ca2655f239502919721f9a761404989e90f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HMQUKZ5XWYEAXILTXVVHWHEMUJ \
| 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: 3b214567b7b6080ba173bd6a7b1c8ca2655f239502919721f9a761404989e90f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5bc9f36b719ff10581b1bb2592532c0a55e50775f84393a91a7c849bd8666fe5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-28T15:02:46Z",
"title_canon_sha256": "dd1addacd1a52f61e2ee84cc9c10f230d5c6081f98d7f70ae76833f9f2da727c"
},
"schema_version": "1.0",
"source": {
"id": "2607.25820",
"kind": "arxiv",
"version": 1
}
}