Pith Number
pith:MKON4UU2
pith:2017:MKON4UU2GQSAEAD2JCXMN7BTJK
not attested
not anchored
not stored
refs pending
A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
arxiv:1707.07312 v2 · 2017-07-23 · cs.CV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MKON4UU2GQSAEAD2JCXMN7BTJK}
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 | 2026-05-18T00:31:23.586875Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
629cde529a342402007a48aec6fc334ab0014e76448a4680222032056cc69819
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MKON4UU2GQSAEAD2JCXMN7BTJK \
| 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: 629cde529a342402007a48aec6fc334ab0014e76448a4680222032056cc69819
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "171bdbe59d887a29b58d56a19cb1c9326d27cba60a89f12f56f03609fa39d1bf",
"cross_cats_sorted": [
"physics.med-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-07-23T14:57:23Z",
"title_canon_sha256": "93db8d4b99ccb16410fb9fdd82038154f12a0f94ba3e17f64b65ae7e517fdc1e"
},
"schema_version": "1.0",
"source": {
"id": "1707.07312",
"kind": "arxiv",
"version": 2
}
}