Pith Number
pith:FMIYA7WV
pith:2018:FMIYA7WVSOFTB723VDQUNJANUY
not attested
not anchored
not stored
refs pending
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
arxiv:1808.04909 v1 · 2018-08-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FMIYA7WVSOFTB723VDQUNJANUY}
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
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 | 2026-05-18T00:08:02.251021Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b11807ed5938b30ff5ba8e146a40da61277c264eb1b9118a9c275eb636a5ff3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FMIYA7WVSOFTB723VDQUNJANUY \
| 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: 2b11807ed5938b30ff5ba8e146a40da61277c264eb1b9118a9c275eb636a5ff3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6fd62e06e63a5dd63d53924dbadcdbf9d6ebe45c3143620772acb2e51727a84",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-08-14T21:58:28Z",
"title_canon_sha256": "35cf89ad6409e7346c8f923998ee446d92d3a5c80f458f53b57e8052fd086e74"
},
"schema_version": "1.0",
"source": {
"id": "1808.04909",
"kind": "arxiv",
"version": 1
}
}