Pith Number
pith:WW3EOL7W
pith:2019:WW3EOL7W6VXGCPU43HZ6NTJ6RL
not attested
not anchored
not stored
refs pending
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis
arxiv:1907.03297 v1 · 2019-07-07 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WW3EOL7W6VXGCPU43HZ6NTJ6RL}
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 | 2026-05-17T23:41:16.650011Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5b6472ff6f56e613e9cd9f3e6cd3e8af30b8965fee491c7ab346c009c4c0dbc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WW3EOL7W6VXGCPU43HZ6NTJ6RL \
| 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: b5b6472ff6f56e613e9cd9f3e6cd3e8af30b8965fee491c7ab346c009c4c0dbc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "77a150e78027b853f3f42289d3dbb9541b32259c36fe6f2a7001e43c92f33bfd",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-07-07T14:10:05Z",
"title_canon_sha256": "c6abdfddd3ff4ca1a1902068e419bbd1a7649b1987713ab51834a05f6ae7297c"
},
"schema_version": "1.0",
"source": {
"id": "1907.03297",
"kind": "arxiv",
"version": 1
}
}