Pith Number
pith:GXRQFWCC
pith:2023:GXRQFWCCJUIZLUYPKDFK4CXSMJ
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not anchored
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refs pending
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification
arxiv:2305.09062 v3 · 2023-05-15 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GXRQFWCCJUIZLUYPKDFK4CXSMJ}
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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 | 2026-07-05T06:11:33.309153Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35e302d8424d1195d30f50caae0af26249795951499485a08b98c0a0ef2fdf70
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GXRQFWCCJUIZLUYPKDFK4CXSMJ \
| 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: 35e302d8424d1195d30f50caae0af26249795951499485a08b98c0a0ef2fdf70
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2b34616adba38ffcf09a8a8d2308d1cf7ff0b6f6e0665893c026432040363436",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-05-15T23:12:09Z",
"title_canon_sha256": "865da83718b90ff981b06d681b6e831ea772b865b6b0a70dafe93122da65ffa8"
},
"schema_version": "1.0",
"source": {
"id": "2305.09062",
"kind": "arxiv",
"version": 3
}
}