Pith Number
pith:CCIZXOAG
pith:2025:CCIZXOAGNPXSE43JZ3JURWJ3BN
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not stored
refs pending
Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition
arxiv:2509.04480 v1 · 2025-08-30 · cs.CL · cs.LG
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\usepackage{pith}
\pithnumber{CCIZXOAGNPXSE43JZ3JURWJ3BN}
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Record completeness
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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.
Receipt and verification
| First computed | 2026-07-05T12:05:23.831448Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
10919bb8066bef227369ced348d93b0b47495c37561dde7cdcee4b493df4b747
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CCIZXOAGNPXSE43JZ3JURWJ3BN \
| 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: 10919bb8066bef227369ced348d93b0b47495c37561dde7cdcee4b493df4b747
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84ae957bd47c5a42bf88b34ba4895a3e91f4c4ecb78133336fb4f39fbe1bec46",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-30T23:47:17Z",
"title_canon_sha256": "c1c30a8db27002109010467f02b1ddd8d6077ea1273facb579d02b440790b198"
},
"schema_version": "1.0",
"source": {
"id": "2509.04480",
"kind": "arxiv",
"version": 1
}
}