Pith Number
pith:VO3JT3SY
pith:2018:VO3JT3SYSU3BCKUCSUL5SFRKTD
not attested
not anchored
not stored
refs pending
Camera-based Image Forgery Localization using Convolutional Neural Networks
arxiv:1808.09714 v1 · 2018-08-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VO3JT3SYSU3BCKUCSUL5SFRKTD}
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 | 2026-05-18T00:06:54.680829Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
abb699ee589536112a829517d9162a98e48d23d5b298a95db6a4f7ff9ddca0ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VO3JT3SYSU3BCKUCSUL5SFRKTD \
| 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: abb699ee589536112a829517d9162a98e48d23d5b298a95db6a4f7ff9ddca0ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a6bdccbaa8cc33b1af63bdace6cf5ffe359ad1a86272c655a2c7f89a72670818",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-08-29T10:20:52Z",
"title_canon_sha256": "6f63851d3e93118bc4d898f99adce8ffb9ee02b2afd8f416b9e285d1f3b386cd"
},
"schema_version": "1.0",
"source": {
"id": "1808.09714",
"kind": "arxiv",
"version": 1
}
}