Pith Number
pith:3JEUTD7A
pith:2020:3JEUTD7AWJYUWGUXTYJXAZ2NFL
not attested
not anchored
not stored
refs pending
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation
arxiv:2006.05847 v1 · 2020-06-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3JEUTD7AWJYUWGUXTYJXAZ2NFL}
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
2
Internet Archive
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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.
Receipt and verification
| First computed | 2026-07-05T01:09:17.595484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da49498fe0b2714b1a979e1370674d2ac7a52cff77ab1df71f371a68eeb3c50a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3JEUTD7AWJYUWGUXTYJXAZ2NFL \
| 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: da49498fe0b2714b1a979e1370674d2ac7a52cff77ab1df71f371a68eeb3c50a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "824df98ecb64d19a0b7f3942fdd4ca1a156654da31366ccca9608ddbd2db10b9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-06-10T14:24:06Z",
"title_canon_sha256": "6d4605b3b65949ca2b2e676f823ea7de5712b7398b9f8285010592f100b3d9c3"
},
"schema_version": "1.0",
"source": {
"id": "2006.05847",
"kind": "arxiv",
"version": 1
}
}