Pith Number
pith:ABALOTML
pith:2019:ABALOTMLDDI2DSGCZE5P32I4SD
not attested
not anchored
not stored
refs pending
Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance
arxiv:1908.03812 v1 · 2019-08-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ABALOTMLDDI2DSGCZE5P32I4SD}
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
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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 | 2026-07-04T23:53:18.383803Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0040b74d8b18d1a1c8c2c93afde91c90f8ee35de7b63fbed0eb0f71b83b7fc54
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ABALOTMLDDI2DSGCZE5P32I4SD \
| 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: 0040b74d8b18d1a1c8c2c93afde91c90f8ee35de7b63fbed0eb0f71b83b7fc54
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0cd0cb803b7dab44dbb3a750e049115d52a982490787a9a05941b06cf27eb5b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-08-10T21:40:25Z",
"title_canon_sha256": "d19c88c645566bdcb7cafcc9fbff7456efc516285d1134a487c11bd795e378e1"
},
"schema_version": "1.0",
"source": {
"id": "1908.03812",
"kind": "arxiv",
"version": 1
}
}