Pith Number
pith:HIT64MVM
pith:2018:HIT64MVMNOIAHLASGWORKTEA2O
not attested
not anchored
not stored
refs pending
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds
arxiv:1805.00342 v2 · 2018-05-01 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HIT64MVMNOIAHLASGWORKTEA2O}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:10:59.677329Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a27ee32ac6b9003ac12359d154c80d3a638519cb9fd81b76630e5e11da67081
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HIT64MVMNOIAHLASGWORKTEA2O \
| 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: 3a27ee32ac6b9003ac12359d154c80d3a638519cb9fd81b76630e5e11da67081
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eefe118e8aff609129f02941357ee72444efaf55c4e5f09b8a1da480a6e9e387",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2018-05-01T13:57:08Z",
"title_canon_sha256": "2701f2002fb336f307e4fcaf6679f9be6b799e4504db87ca06c5b4f3407af533"
},
"schema_version": "1.0",
"source": {
"id": "1805.00342",
"kind": "arxiv",
"version": 2
}
}