Pith Number
pith:KDU4OKKZ
pith:2025:KDU4OKKZ72HBMVWMI2FTN2DDF6
not attested
not anchored
not stored
refs pending
CLAMP: Contrastive Learning with Adaptive Multi-loss and Progressive Fusion for Multimodal Aspect-Based Sentiment Analysis
arxiv:2507.16854 v1 · 2025-07-21 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KDU4OKKZ72HBMVWMI2FTN2DDF6}
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.
Receipt and verification
| First computed | 2026-07-05T11:41:57.173857Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50e9c72959fe8e1656cc468b36e8632fab5a442339ac2f9d2e3ed3d576a5ff64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KDU4OKKZ72HBMVWMI2FTN2DDF6 \
| 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: 50e9c72959fe8e1656cc468b36e8632fab5a442339ac2f9d2e3ed3d576a5ff64
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38b4fc1b8e0026ca68b914e3e2e6666606627267fa2f0c421e9d806c13ee6210",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-21T11:49:57Z",
"title_canon_sha256": "57baae876324584cc4e3d18acbead54e23fb182eb09ae143766b756221989925"
},
"schema_version": "1.0",
"source": {
"id": "2507.16854",
"kind": "arxiv",
"version": 1
}
}