Pith Number
pith:4FF5LCFL
pith:2018:4FF5LCFLIJX2SP7TVIE7KDDFVV
not attested
not anchored
not stored
refs pending
Convolutional neural network-based regression for depth prediction in digital holography
arxiv:1802.00664 v1 · 2018-02-02 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4FF5LCFLIJX2SP7TVIE7KDDFVV}
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 | 2026-05-18T00:24:32.658467Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e14bd588ab426fa93ff3aa09f50c65ad51f89665ffc35f52031873042b2d1086
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4FF5LCFLIJX2SP7TVIE7KDDFVV \
| 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: e14bd588ab426fa93ff3aa09f50c65ad51f89665ffc35f52031873042b2d1086
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d90d0d64aa54f5c0f69bfe3779cb6c261fb6912321c2d568315b4189ba6def7f",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-02-02T12:41:08Z",
"title_canon_sha256": "2744bfbbdbd2a2b0aa9ea326c1b94b8a63617c0aecb79e45e36ded6010ff4d59"
},
"schema_version": "1.0",
"source": {
"id": "1802.00664",
"kind": "arxiv",
"version": 1
}
}