Pith Number
pith:J4Z77T7N
pith:2015:J4Z77T7NCYA6QNY32RGQB6JNLC
not attested
not anchored
not stored
refs pending
Fast Neuromimetic Object Recognition using FPGA Outperforms GPU Implementations
arxiv:1511.00100 v1 · 2015-10-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J4Z77T7NCYA6QNY32RGQB6JNLC}
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 | 2026-05-18T01:28:13.330861Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f33ffcfed1601e8371bd44d00f92d5899d5e10767c59cf6c5ac9214dd7cd204
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J4Z77T7NCYA6QNY32RGQB6JNLC \
| 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: 4f33ffcfed1601e8371bd44d00f92d5899d5e10767c59cf6c5ac9214dd7cd204
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e96e080f63a924ad0ff2c2a4a4366de29e297da1697b6a0d1bf1019434a9b26b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-10-31T08:59:03Z",
"title_canon_sha256": "88c29f938298ba15fc1f5f0345f35a447641b380d964cac2de224e3673d7e7a2"
},
"schema_version": "1.0",
"source": {
"id": "1511.00100",
"kind": "arxiv",
"version": 1
}
}