Pith Number
pith:G4YINJ2G
pith:2025:G4YINJ2GRUHEVYVTVVIJKZCIR3
not attested
not anchored
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refs pending
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
arxiv:2504.14200 v2 · 2025-04-19 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G4YINJ2GRUHEVYVTVVIJKZCIR3}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:45:33.865029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
373086a7468d0e4ae2b3ad509564488efd1ae3ad3f2ccf546ecbe61ebcf5eaa2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G4YINJ2GRUHEVYVTVVIJKZCIR3 \
| 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: 373086a7468d0e4ae2b3ad509564488efd1ae3ad3f2ccf546ecbe61ebcf5eaa2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca1a06db9edde3fa3dc2707dc9d7f603ad8c573d512f8b96ee2807253e0fc02e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-19T06:26:23Z",
"title_canon_sha256": "2824fd6af9640617caf674a1210c870431377dc277ffc3bdf989651a2c4dee7d"
},
"schema_version": "1.0",
"source": {
"id": "2504.14200",
"kind": "arxiv",
"version": 2
}
}