Pith Number
pith:67JGF7TB
pith:2026:67JGF7TB7DK5BXS3S4F3HQ6JVJ
not attested
not anchored
not stored
refs pending
Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning
arxiv:2605.27960 v1 · 2026-05-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{67JGF7TB7DK5BXS3S4F3HQ6JVJ}
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
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4
Citations
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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 | 2026-05-28T01:04:54.251234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7d262fe61f8d5d0de5b970bb3c3c9aa6b0ba3c70e8879e5ebda3d13df1c6883
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/67JGF7TB7DK5BXS3S4F3HQ6JVJ \
| 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: f7d262fe61f8d5d0de5b970bb3c3c9aa6b0ba3c70e8879e5ebda3d13df1c6883
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e04bc7c082472356930e7620317a364ce418776065ad57c37ff24ee895391230",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-27T04:54:07Z",
"title_canon_sha256": "a1877b1058ed5d4f4e80082f3fbe6e2eebd542eeff7a9d6b564206eeb78403b9"
},
"schema_version": "1.0",
"source": {
"id": "2605.27960",
"kind": "arxiv",
"version": 1
}
}