Pith Number
pith:ZMIVZC4L
pith:2022:ZMIVZC4L5HJ7IMQJDMX4FJQZJV
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In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
arxiv:2210.03773 v1 · 2022-10-07 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZMIVZC4L5HJ7IMQJDMX4FJQZJV}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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4
Citations
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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 | 2026-07-05T05:04:32.143004Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cb115c8b8be9d3f432091b2fc2a6194d50393c28001af2754d8f135c248e6bf6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZMIVZC4L5HJ7IMQJDMX4FJQZJV \
| 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: cb115c8b8be9d3f432091b2fc2a6194d50393c28001af2754d8f135c248e6bf6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00047d0e67ed8fd58d5620335749e6e9b62872e782be724d9f81595dc16fc32f",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-10-07T18:43:21Z",
"title_canon_sha256": "27c119f2b09a7cbb8f6e6f38c47d4e1b16a61ee7d0b06acdda796da017fe2a81"
},
"schema_version": "1.0",
"source": {
"id": "2210.03773",
"kind": "arxiv",
"version": 1
}
}