Pith Number
pith:7WFVXCJZ
pith:2022:7WFVXCJZWBTD27ROAF4TS57TQY
not attested
not anchored
not stored
refs pending
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
arxiv:2207.06975 v1 · 2022-07-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7WFVXCJZWBTD27ROAF4TS57TQY}
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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claim
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:40:19.478490Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd8b5b8939b0663d7e2e01793977f3861a6508faab123b608685adf30271b073
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7WFVXCJZWBTD27ROAF4TS57TQY \
| 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: fd8b5b8939b0663d7e2e01793977f3861a6508faab123b608685adf30271b073
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "baa3dad4b10576a49f12007c1b10049c1e930b21adec9d24c5df1d3b746c21a4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-07-14T14:57:01Z",
"title_canon_sha256": "7c6681e69828d4559c61279f9eca5f52d9346f40adfde829639a84327365f137"
},
"schema_version": "1.0",
"source": {
"id": "2207.06975",
"kind": "arxiv",
"version": 1
}
}