Pith Number
pith:GB7GTPR7
pith:2017:GB7GTPR74U2CW2FXMWLSG7CDSO
not attested
not anchored
not stored
refs pending
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks
arxiv:1706.07853 v2 · 2017-06-23 · cs.DC · cs.AR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GB7GTPR74U2CW2FXMWLSG7CDSO}
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 | 2026-05-18T00:15:47.229376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
307e69be3fe5342b68b76597237c43938b065a1d5c3ecd05f1562fbc5b43f477
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GB7GTPR74U2CW2FXMWLSG7CDSO \
| 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: 307e69be3fe5342b68b76597237c43938b065a1d5c3ecd05f1562fbc5b43f477
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bafb5202b537bb0e34a49088909719d9f06ab9ae31ea4acbd99c364c17357839",
"cross_cats_sorted": [
"cs.AR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2017-06-23T20:35:42Z",
"title_canon_sha256": "5eb8a1a8347f8ffbf931be5fe032fac4688a8c65b7825e466e8818a103579399"
},
"schema_version": "1.0",
"source": {
"id": "1706.07853",
"kind": "arxiv",
"version": 2
}
}