Pith Number
pith:V6BTH3UQ
pith:2023:V6BTH3UQ2CW3Q3U7QTH64IMHMD
not attested
not anchored
not stored
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How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
arxiv:2312.10600 v3 · 2023-12-17 · cs.CV
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\usepackage{pith}
\pithnumber{V6BTH3UQ2CW3Q3U7QTH64IMHMD}
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Record completeness
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Citations
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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 | 2026-07-05T10:04:10.980053Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af8333ee90d0adb86e9f84cfee218760d8850eb973023c8bfb2e7c03d551bdf6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V6BTH3UQ2CW3Q3U7QTH64IMHMD \
| 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: af8333ee90d0adb86e9f84cfee218760d8850eb973023c8bfb2e7c03d551bdf6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "67b0ba845fe9d21b87ba2c357a826aec28a5bbcd90fa381075216958a04e81b5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-12-17T04:26:42Z",
"title_canon_sha256": "6ade8f222be0e587af013292c0fe28b2b1bbb4c9642325bb2826d3d552ef6b99"
},
"schema_version": "1.0",
"source": {
"id": "2312.10600",
"kind": "arxiv",
"version": 3
}
}