Pith Number
pith:6XM563P5
pith:2024:6XM563P5ZBOE4XZOYJWCRXWXWE
not attested
not anchored
not stored
refs pending
Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
arxiv:2412.10765 v1 · 2024-12-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6XM563P5ZBOE4XZOYJWCRXWXWE}
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 | 2026-07-05T09:49:21.378242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5d9df6dfdc85c4e5f2ec26c28ded7b12578e0ac6cb6204a028086d470f8bcdb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6XM563P5ZBOE4XZOYJWCRXWXWE \
| 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: f5d9df6dfdc85c4e5f2ec26c28ded7b12578e0ac6cb6204a028086d470f8bcdb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "577be307a85a7d0d729f9e2f1c55e32213691b2db00dd3184ee1690e80e98251",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-14T09:29:44Z",
"title_canon_sha256": "5c798490743096d71532abbd924d6faa5aad4b03ae37f5342ddcc489c2774e64"
},
"schema_version": "1.0",
"source": {
"id": "2412.10765",
"kind": "arxiv",
"version": 1
}
}