Pith Number
pith:UGZFGCY6
pith:2026:UGZFGCY6D2XO4UODSXMBNHMLLH
not attested
not anchored
not stored
refs pending
Seeing vs. Believing: Evaluating the Language Bias of Open-Source MLLMs in Counter-Intuitive Scenes
arxiv:2601.07737 v2 · 2026-01-12 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UGZFGCY6D2XO4UODSXMBNHMLLH}
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 | 2026-05-27T01:05:42.417708Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a1b2530b1e1eaeee51c395d8169d8b59f1ea0c8e862692cbc226f3e718de1f48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UGZFGCY6D2XO4UODSXMBNHMLLH \
| 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: a1b2530b1e1eaeee51c395d8169d8b59f1ea0c8e862692cbc226f3e718de1f48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "18eae828d7527feca0e8a1658a10293ca52ca98ffdf843b53467d58fcd5b16ab",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-01-12T17:15:45Z",
"title_canon_sha256": "9030ccefcfbcbe70dda6115786d5c41267d2c21545f0c2c5ea71e055a6775abd"
},
"schema_version": "1.0",
"source": {
"id": "2601.07737",
"kind": "arxiv",
"version": 2
}
}