Pith Number
pith:IAA25VFW
pith:2024:IAA25VFWM5NBUTJNG7ALBPOQ56
not attested
not anchored
not stored
refs pending
DiM: $f$-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation
arxiv:2411.12350 v1 · 2024-11-19 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IAA25VFWM5NBUTJNG7ALBPOQ56}
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 | 2026-07-05T09:37:20.025642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4001aed4b6675a1a4d2d37c0b0bdd0ef9c099a75ef4d55c907a17ffb8ac0be02
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IAA25VFWM5NBUTJNG7ALBPOQ56 \
| 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: 4001aed4b6675a1a4d2d37c0b0bdd0ef9c099a75ef4d55c907a17ffb8ac0be02
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff8ebc36d53096a9dac817ea48251225e78c67165d0079cac79f05ffdda1b067",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-19T09:07:26Z",
"title_canon_sha256": "d71430370e53ac03a0d6f5f9cd1516f08e398f3a431e5a0d711cc199c2972980"
},
"schema_version": "1.0",
"source": {
"id": "2411.12350",
"kind": "arxiv",
"version": 1
}
}