Pith Number
pith:MAXDVQSQ
pith:2023:MAXDVQSQIFIA6P4WR66GRGANAZ
not attested
not anchored
not stored
refs pending
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
arxiv:2308.15081 v1 · 2023-08-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MAXDVQSQIFIA6P4WR66GRGANAZ}
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
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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 | 2026-07-05T10:18:32.682595Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
602e3ac25041500f3f968fbc68980d0658757f4988a17cc5f1371f4f35dbd7db
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MAXDVQSQIFIA6P4WR66GRGANAZ \
| 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: 602e3ac25041500f3f968fbc68980d0658757f4988a17cc5f1371f4f35dbd7db
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1711bebf637b867da0d0ac68abcbf66118c33d463089311d73f12a0af6c831c9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-08-29T07:29:30Z",
"title_canon_sha256": "b7cd5457a39f115b06a11994482e097cdf7a47db47848591b18a79b02796b44a"
},
"schema_version": "1.0",
"source": {
"id": "2308.15081",
"kind": "arxiv",
"version": 1
}
}