Pith Number
pith:CF7KDLYR
pith:2025:CF7KDLYRY254RNCRQGMVKYVCJS
not attested
not anchored
not stored
refs pending
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
arxiv:2508.15370 v1 · 2025-08-21 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CF7KDLYRY254RNCRQGMVKYVCJS}
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 | 2026-07-05T11:57:11.106233Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
117ea1af11c6bbc8b45181995562a24cb3d93c7becce4b06936941536d587c28
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CF7KDLYRY254RNCRQGMVKYVCJS \
| 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: 117ea1af11c6bbc8b45181995562a24cb3d93c7becce4b06936941536d587c28
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d666ce0ec3101fc6f9f27a5d8f3fcdae6640e3362152c4325780badb816a3c99",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-21T09:00:01Z",
"title_canon_sha256": "c612d410713c68f39c57c660c4526759fa74c47dc01c817e06ae1ff7260b9017"
},
"schema_version": "1.0",
"source": {
"id": "2508.15370",
"kind": "arxiv",
"version": 1
}
}