Pith Number
pith:SEIJPANW
pith:2023:SEIJPANW5UVJGOYMXH3G45TJFP
not attested
not anchored
not stored
refs pending
Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs
arxiv:2311.16140 v1 · 2023-11-04 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SEIJPANW5UVJGOYMXH3G45TJFP}
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
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Internet Archive
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4
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.
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Receipt and verification
| First computed | 2026-07-05T07:17:36.561135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
91109781b6ed2a933b0cb9f66e76692bf3f9af1d6537235eedf8d08d4b39cde0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SEIJPANW5UVJGOYMXH3G45TJFP \
| 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: 91109781b6ed2a933b0cb9f66e76692bf3f9af1d6537235eedf8d08d4b39cde0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "890a1c506c6b9151668ea7e342e38cfee2ca4f8ab01b89367f4b19377c8dc69e",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-11-04T14:20:08Z",
"title_canon_sha256": "999586816e4702dd727192a882ec75c2490ee9dd60076ad86570054ac763ecc5"
},
"schema_version": "1.0",
"source": {
"id": "2311.16140",
"kind": "arxiv",
"version": 1
}
}