Pith Number
pith:NYVCRHLB
pith:2025:NYVCRHLBBBEYHP4FMZXDBQ2ESD
not attested
not anchored
not stored
refs pending
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
arxiv:2502.00630 v1 · 2025-02-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NYVCRHLBBBEYHP4FMZXDBQ2ESD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:08:36.398957Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6e2a289d61084983bf85666e30c34490c642f13444c73c5c421e62b0df218370
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NYVCRHLBBBEYHP4FMZXDBQ2ESD \
| 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: 6e2a289d61084983bf85666e30c34490c642f13444c73c5c421e62b0df218370
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f916bbe36748d41904f5b13d6404a865c44f432fcdd4092a979595a5f26c37d5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-02T02:42:24Z",
"title_canon_sha256": "f67538f0c43aedf316049c11827d0f7ca6e7bc2acc34900606e72f26ba10213d"
},
"schema_version": "1.0",
"source": {
"id": "2502.00630",
"kind": "arxiv",
"version": 1
}
}