Pith Number
pith:N7FLKMLK
pith:2019:N7FLKMLKLPAMNN4ZTXNL75YSGS
not attested
not anchored
not stored
refs pending
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network
arxiv:1903.07821 v1 · 2019-03-19 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N7FLKMLKLPAMNN4ZTXNL75YSGS}
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 | 2026-05-17T23:50:53.809827Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6fcab5316a5bc0c6b7999ddabff71234a11b0a591aad373eec9ecbef7777ff49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N7FLKMLKLPAMNN4ZTXNL75YSGS \
| 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: 6fcab5316a5bc0c6b7999ddabff71234a11b0a591aad373eec9ecbef7777ff49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d68ab74eeb001a113605bacf409af88c995236c419551013abe6734b51be7e5",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-19T04:13:34Z",
"title_canon_sha256": "2446b479c3c414c48c7b4002d05090fae67a00569a64124aacf805d9a73ac9c7"
},
"schema_version": "1.0",
"source": {
"id": "1903.07821",
"kind": "arxiv",
"version": 1
}
}