pith:4XV7OROV
TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training
TorchUMM supplies the first unified codebase for evaluating, analyzing, and post-training diverse unified multimodal models.
arxiv:2604.10784 v2 · 2026-04-12 · cs.AI
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\usepackage{pith}
\pithnumber{4XV7OROVHOAUW6G6EYRBD5ZCZR}
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Claims
TorchUMM, the first unified codebase for comprehensive evaluation, analysis, and post-training across diverse UMM backbones, tasks, and datasets.
That the chosen models, tasks, and datasets are representative enough to produce fair comparisons and that the unified interface does not introduce implementation-specific biases that distort model capabilities.
TorchUMM is the first unified codebase and benchmark suite for standardized evaluation of diverse unified multimodal models on understanding, generation, and editing tasks.
Cited by
Receipt and verification
| First computed | 2026-05-21T01:04:25.741665Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e5ebf745d53b814b78de262211f722cc66f4da3c21f11841fd1ed28636c8c08c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4XV7OROVHOAUW6G6EYRBD5ZCZR \
| 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: e5ebf745d53b814b78de262211f722cc66f4da3c21f11841fd1ed28636c8c08c
Canonical record JSON
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"submitted_at": "2026-04-12T19:19:04Z",
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