Pith Number
pith:NNBXQ7EG
pith:2020:NNBXQ7EGBLZWQPG23SP7LSSZ67
not attested
not anchored
not stored
refs pending
Extrapolating continuous color emotions through deep learning
arxiv:2009.04519 v1 · 2020-08-05 · q-bio.QM · cs.LG · physics.bio-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NNBXQ7EGBLZWQPG23SP7LSSZ67}
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
✓
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 | 2026-07-05T05:06:49.364362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b43787c860af3683cdadc9ff5ca59f7e847101be7e0076eb26f5d8b3d0e79de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NNBXQ7EGBLZWQPG23SP7LSSZ67 \
| 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: 6b43787c860af3683cdadc9ff5ca59f7e847101be7e0076eb26f5d8b3d0e79de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e389171f75356274e95bca98b7de2ad9aa4b95510b6870f2c3878a4c84f8354",
"cross_cats_sorted": [
"cs.LG",
"physics.bio-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2020-08-05T02:08:29Z",
"title_canon_sha256": "ae6042b1891b40d7179145a8d35d08bead8b31d530e5e70888684338eaaa0a8b"
},
"schema_version": "1.0",
"source": {
"id": "2009.04519",
"kind": "arxiv",
"version": 1
}
}