Pith Number
pith:R3I57UGK
pith:2017:R3I57UGKL6VQYJYR2L4HLXIBRY
not attested
not anchored
not stored
refs pending
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition
arxiv:1710.04734 v1 · 2017-10-12 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R3I57UGKL6VQYJYR2L4HLXIBRY}
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 | 2026-05-18T00:32:56.891967Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8ed1dfd0ca5fab0c2711d2f875dd018e0573bbf36bf3f5efef9c2a321baf77b8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R3I57UGKL6VQYJYR2L4HLXIBRY \
| 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: 8ed1dfd0ca5fab0c2711d2f875dd018e0573bbf36bf3f5efef9c2a321baf77b8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "29900f555280c70798ae65f732a8a47b06f04a098837be4481a5f0b690093d4a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-10-12T21:56:51Z",
"title_canon_sha256": "019de29bdb75b3e763b0eae130137a1e02d9d7df403c4cf7f76e6918eb137912"
},
"schema_version": "1.0",
"source": {
"id": "1710.04734",
"kind": "arxiv",
"version": 1
}
}