Pith Number
pith:TMJ6SP7G
pith:2021:TMJ6SP7GY3CU7PWKPASSPHAJGG
not attested
not anchored
not stored
refs pending
Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
arxiv:2103.13607 v1 · 2021-03-25 · cs.CV · cs.AI · cs.LG · eess.IV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TMJ6SP7GY3CU7PWKPASSPHAJGG}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T02:26:20.709958Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b13e93fe6c6c54fbeca7825279c0931b91aa4b6d63014c68d341ed3ba5f8da9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TMJ6SP7GY3CU7PWKPASSPHAJGG \
| 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: 9b13e93fe6c6c54fbeca7825279c0931b91aa4b6d63014c68d341ed3ba5f8da9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d35d3b1d0867d7f691d51243e27f8bfa3463f29a5a8ef2efd386611c73b42b40",
"cross_cats_sorted": [
"cs.AI",
"cs.LG",
"eess.IV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-03-25T04:49:44Z",
"title_canon_sha256": "c4bf71eb3508873cc19f31c0a2aa771414ec399ae3cbb97a477754a9850778de"
},
"schema_version": "1.0",
"source": {
"id": "2103.13607",
"kind": "arxiv",
"version": 1
}
}