Pith Number
pith:Z7FQWQNX
pith:2026:Z7FQWQNXNLRIO7AYW37F3DHPN5
not attested
not anchored
not stored
refs pending
Mixture of Cognitive Experts in Large Vision-Language Models
arxiv:2607.10796 v1 · 2026-07-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z7FQWQNXNLRIO7AYW37F3DHPN5}
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 | 2026-07-14T01:21:40.543647Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cfcb0b41b76ae2877c18b6fe5d8cef6f4e793218ae2a39cf2360cb9fa7206502
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z7FQWQNXNLRIO7AYW37F3DHPN5 \
| 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: cfcb0b41b76ae2877c18b6fe5d8cef6f4e793218ae2a39cf2360cb9fa7206502
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e39345909981a7250e6e0bcd9db92e590c1467171cfb6b64e6909b43a493e6d7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-12T15:09:03Z",
"title_canon_sha256": "6fd8e9983237bf7b71cff2bec13c45de80f071d30513c875a2f724ae1e45fb6c"
},
"schema_version": "1.0",
"source": {
"id": "2607.10796",
"kind": "arxiv",
"version": 1
}
}