Pith Number
pith:3KFM6DFV
pith:2023:3KFM6DFVEFAS4NPHS4K6UKV2T4
not attested
not anchored
not stored
refs pending
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
arxiv:2305.06144 v2 · 2023-05-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3KFM6DFVEFAS4NPHS4K6UKV2T4}
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
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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 | 2026-07-05T06:42:21.766995Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da8acf0cb521412e35e79715ea2aba9f376f4838118435551f54f7a0377e869e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3KFM6DFVEFAS4NPHS4K6UKV2T4 \
| 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: da8acf0cb521412e35e79715ea2aba9f376f4838118435551f54f7a0377e869e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "48d2ad0e7e0322c1ce15e6df6e3ca175f6fb7b79a490634460ca0b61777c46f3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-05-10T13:47:38Z",
"title_canon_sha256": "a500bdd250f7fa86763f10ab018081b0e65c00e9df36feedaf9598b8eff553de"
},
"schema_version": "1.0",
"source": {
"id": "2305.06144",
"kind": "arxiv",
"version": 2
}
}