Pith Number
pith:MYDZRDSC
pith:2020:MYDZRDSCUP5RMWYT4AIUIFW4Q4
not attested
not anchored
not stored
refs pending
Understanding Aesthetic Evaluation using Deep Learning
arxiv:2004.06874 v1 · 2020-04-15 · cs.NE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MYDZRDSCUP5RMWYT4AIUIFW4Q4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:55:22.739401Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6607988e42a3fb165b13e0114416dc872e166d31e3d8e3ede5dfbdb56e977705
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYDZRDSCUP5RMWYT4AIUIFW4Q4 \
| 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: 6607988e42a3fb165b13e0114416dc872e166d31e3d8e3ede5dfbdb56e977705
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25cd3ff47bcdece070c1a808195eef12e0c683ebd8b082f2b27dc769dc5ad428",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2020-04-15T04:18:38Z",
"title_canon_sha256": "d80ab519e5ff2132dde77337f377f22d8713953284b9394986c8a12429209362"
},
"schema_version": "1.0",
"source": {
"id": "2004.06874",
"kind": "arxiv",
"version": 1
}
}