Pith Number
pith:3O7EVIMN
pith:2021:3O7EVIMNP6IDJICIP7FPFIYKTF
not attested
not anchored
not stored
refs pending
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks
arxiv:2101.01543 v2 · 2021-01-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3O7EVIMNP6IDJICIP7FPFIYKTF}
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 | 2026-07-05T02:54:53.084932Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dbbe4aa18d7f9034a0487fcaf2a30a997b658771ee7fb1dbc90927f4b23e4c9e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3O7EVIMNP6IDJICIP7FPFIYKTF \
| 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: dbbe4aa18d7f9034a0487fcaf2a30a997b658771ee7fb1dbc90927f4b23e4c9e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "37b47f273bd60f77b22f96ae764f24b81428616e594b9cab4b514debcb024974",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-01-05T14:31:53Z",
"title_canon_sha256": "f382eb2e96d5b98a2ee73d78048ff171b633008ed7fe852988e8af2665a23340"
},
"schema_version": "1.0",
"source": {
"id": "2101.01543",
"kind": "arxiv",
"version": 2
}
}