Pith Number
pith:2DAQ7JJB
pith:2016:2DAQ7JJBIK5ONDDAHXQQARQZ7S
not attested
not anchored
not stored
refs pending
On the Use of Deep Learning for Blind Image Quality Assessment
arxiv:1602.05531 v5 · 2016-02-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2DAQ7JJBIK5ONDDAHXQQARQZ7S}
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
✓
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 | 2026-05-18T00:04:24.398647Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0c10fa52142bae68c603de1004619fca679f82f3aaa5934dba0ed567b52fd6f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2DAQ7JJBIK5ONDDAHXQQARQZ7S \
| 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: d0c10fa52142bae68c603de1004619fca679f82f3aaa5934dba0ed567b52fd6f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a894650583ec6cc674c5141ffacd2fe4f43051100e99adb5a582fdd465e46920",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-02-17T19:12:50Z",
"title_canon_sha256": "2a0160e30aa05e028e584bc8c68aa6250b132c0f1e6c25fd6081083a06023206"
},
"schema_version": "1.0",
"source": {
"id": "1602.05531",
"kind": "arxiv",
"version": 5
}
}