Pith Number
pith:XAXGFHPD
pith:2025:XAXGFHPDA2D4Q2XCGYCZ7YX4AL
not attested
not anchored
not stored
refs pending
MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation
arxiv:2508.11433 v2 · 2025-08-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XAXGFHPDA2D4Q2XCGYCZ7YX4AL}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:59:19.899721Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b82e629de30687c86ae236059fe2fc02df387b44c869268c8c1cb6fa25e6d758
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XAXGFHPDA2D4Q2XCGYCZ7YX4AL \
| 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: b82e629de30687c86ae236059fe2fc02df387b44c869268c8c1cb6fa25e6d758
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0fbd5dd573860320026273874ff4c4e3cac61af4ee052fb44d499a1ee3264c72",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-15T12:20:27Z",
"title_canon_sha256": "b81a21710f1d826c247ef3d84e1eafda5fa683537fc93b962beab1a38f566b74"
},
"schema_version": "1.0",
"source": {
"id": "2508.11433",
"kind": "arxiv",
"version": 2
}
}