Pith Number
pith:N3FIEPM3
pith:2021:N3FIEPM3QRPFSHODGDQDCPYLYU
not attested
not anchored
not stored
refs pending
Layer Folding: Neural Network Depth Reduction using Activation Linearization
arxiv:2106.09309 v2 · 2021-06-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N3FIEPM3QRPFSHODGDQDCPYLYU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:11:13.372246Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6eca823d9b845e591dc330e0313f0bc51777f36dd1f143dc7c2fc0d32ee70a9a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3FIEPM3QRPFSHODGDQDCPYLYU \
| 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: 6eca823d9b845e591dc330e0313f0bc51777f36dd1f143dc7c2fc0d32ee70a9a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "09cd48522a2c92f48f37a5383744b667665dcd2062feed83241922b548750416",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-06-17T08:22:46Z",
"title_canon_sha256": "d59675ed61f9cfedf72741ab7b6f7df394ef9f15ec280ec1f9edf4679dfdacf9"
},
"schema_version": "1.0",
"source": {
"id": "2106.09309",
"kind": "arxiv",
"version": 2
}
}