Pith Number
pith:AIHBLE3R
pith:2021:AIHBLE3RHSGVPJGHUTL2TDZJKH
not attested
not anchored
not stored
refs pending
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
arxiv:2106.01258 v1 · 2021-06-02 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AIHBLE3RHSGVPJGHUTL2TDZJKH}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-07-05T02:45:45.467646Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
020e1593713c8d57a4c7a4d7a98f2951fd85ea59465abac1892973824b46081f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AIHBLE3RHSGVPJGHUTL2TDZJKH \
| 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: 020e1593713c8d57a4c7a4d7a98f2951fd85ea59465abac1892973824b46081f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "070fdaaa876f7c8c301d4e7c8a0399b581dcbb8b9803ce794649c2594f35c25a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-02T16:10:46Z",
"title_canon_sha256": "995f890b037bf6c901c041d3c8573144b1d461ce6587e8ae7742e4b47b35edb9"
},
"schema_version": "1.0",
"source": {
"id": "2106.01258",
"kind": "arxiv",
"version": 1
}
}