Pith Number
pith:CB3WT2V7
pith:2018:CB3WT2V7RVMK2DHMJ33XMS7NKC
not attested
not anchored
not stored
refs pending
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model
arxiv:1808.05754 v4 · 2018-08-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CB3WT2V7RVMK2DHMJ33XMS7NKC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
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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 | 2026-05-18T00:01:43.186602Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
107769eabf8d58ad0cec4ef7764bed50a9e36d6f879afcaf09d3cae40884eab2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CB3WT2V7RVMK2DHMJ33XMS7NKC \
| 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: 107769eabf8d58ad0cec4ef7764bed50a9e36d6f879afcaf09d3cae40884eab2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e9b1bf5c5ef7c5bee837b4209901690082831bf022bd94255ffaaeea0797ebc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-08-16T12:53:53Z",
"title_canon_sha256": "aa2c3a42eae66fc91da807d25b3150d2d5634c2c9e801af68a7e65d4257dff82"
},
"schema_version": "1.0",
"source": {
"id": "1808.05754",
"kind": "arxiv",
"version": 4
}
}