Pith Number
pith:D26KXACX
pith:2026:D26KXACXHSYJCRXKIQJ3HJABSZ
not attested
not anchored
not stored
refs pending
Improving Medical Image Generative Models with Fr\'echet Distance Loss
arxiv:2607.13300 v1 · 2026-07-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D26KXACXHSYJCRXKIQJ3HJABSZ}
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
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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 | 2026-07-16T00:22:08.455584Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ebcab80573cb09146ea4413b3a401965239080ca7950ce7d4a442b82bec6522
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D26KXACXHSYJCRXKIQJ3HJABSZ \
| 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: 1ebcab80573cb09146ea4413b3a401965239080ca7950ce7d4a442b82bec6522
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "62018d62a6ad92b06ba0dd9b77e64c4be2c8429108960d8dc97944a4a9f77cc2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-14T22:11:15Z",
"title_canon_sha256": "1da6fd98d3b48611292069d83070179d6d889cd37763b15c9cfce2fb643829b9"
},
"schema_version": "1.0",
"source": {
"id": "2607.13300",
"kind": "arxiv",
"version": 1
}
}