Pith Number
pith:QGMTLTI5
pith:2017:QGMTLTI5XJ2EU7QKNY3N4E7HXI
not attested
not anchored
not stored
refs pending
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
arxiv:1712.07695 v1 · 2017-12-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QGMTLTI5XJ2EU7QKNY3N4E7HXI}
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
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:27:31.175459Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
819935cd1dba744a7e0a6e36de13e7ba121f24b76182f484a96b4ad2699f8c9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QGMTLTI5XJ2EU7QKNY3N4E7HXI \
| 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: 819935cd1dba744a7e0a6e36de13e7ba121f24b76182f484a96b4ad2699f8c9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9f16cae1b5049b0c57d797fdb9895f7ba2432a188d63cb0e8371a48f30af3cc7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-12-20T20:22:01Z",
"title_canon_sha256": "3b1a425a5a6ed31117d23f819638008031a4b9e2cdafe3981428180dff504af0"
},
"schema_version": "1.0",
"source": {
"id": "1712.07695",
"kind": "arxiv",
"version": 1
}
}