Pith Number
pith:BPSJHRIH
pith:2023:BPSJHRIH47FLUSU5YX2FQOI6U4
not attested
not anchored
not stored
refs pending
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
arxiv:2309.13042 v2 · 2023-09-22 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BPSJHRIH47FLUSU5YX2FQOI6U4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:15:26.911928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0be493c507e7caba4a9dc5f458391ea7391f76cac22d970100d89d14d664c8eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BPSJHRIH47FLUSU5YX2FQOI6U4 \
| 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: 0be493c507e7caba4a9dc5f458391ea7391f76cac22d970100d89d14d664c8eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7aba4365cf56e57bc67444633ab4c18f60d11b84ca714e061162d642ab838436",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-22T17:59:42Z",
"title_canon_sha256": "77930bfb742083ef95811ed65bff256e82bff2f1c883215e88c19b85b861196d"
},
"schema_version": "1.0",
"source": {
"id": "2309.13042",
"kind": "arxiv",
"version": 2
}
}