Pith Number
pith:QYGY4FW7
pith:2016:QYGY4FW7SNVTEAV6TLW3KPWYA5
not attested
not anchored
not stored
refs pending
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs
arxiv:1610.03618 v1 · 2016-10-12 · cs.DC · cs.LG · cs.NE · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QYGY4FW7SNVTEAV6TLW3KPWYA5}
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 | 2026-05-18T01:02:29.733754Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
860d8e16df936b3202be9aedb53ed807458a5d583457ddc3bc1a22b1cc47a48d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QYGY4FW7SNVTEAV6TLW3KPWYA5 \
| 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: 860d8e16df936b3202be9aedb53ed807458a5d583457ddc3bc1a22b1cc47a48d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "13b6e66c6e4411de01c5cdd136d3f28a360897402d0ead6941d54fef10c8aa4c",
"cross_cats_sorted": [
"cs.LG",
"cs.NE",
"cs.PF"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2016-10-12T07:02:48Z",
"title_canon_sha256": "e424d8cbeb09fa9a83da8bd254ec876ec4dace91c729d6a6c5b6252e298d9040"
},
"schema_version": "1.0",
"source": {
"id": "1610.03618",
"kind": "arxiv",
"version": 1
}
}