Pith Number
pith:JQPOBQWP
pith:2015:JQPOBQWPJCI6P66565CYDC7PQM
not attested
not anchored
not stored
refs pending
Rounding Methods for Neural Networks with Low Resolution Synaptic Weights
arxiv:1504.05767 v1 · 2015-04-22 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JQPOBQWPJCI6P66565CYDC7PQM}
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 | 2026-05-18T02:18:12.730245Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4c1ee0c2cf4891e7fbddf745818bef8324b62799ee0ef668ca06a609b1b2c45f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JQPOBQWPJCI6P66565CYDC7PQM \
| 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: 4c1ee0c2cf4891e7fbddf745818bef8324b62799ee0ef668ca06a609b1b2c45f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a02d4eb6312ada7779f115f9b612a18f281aa3d3b6564778354e1ec672c421a1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2015-04-22T12:47:32Z",
"title_canon_sha256": "927dabecb1f7d374800359f201f9a497abf6a52b70d967a8f539e981889364d2"
},
"schema_version": "1.0",
"source": {
"id": "1504.05767",
"kind": "arxiv",
"version": 1
}
}