pith:J2YFXZY3
Motif-Video 2B: Technical Report
Separating prompt alignment, temporal consistency, and fine-detail recovery into distinct stages lets a 2B video model outperform a 14B baseline on VBench with far less data and compute.
arxiv:2604.16503 v2 · 2026-04-14 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J2YFXZY33UMKM3KW4LC76TAFPL}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
On VBench, Motif-Video~2B reaches 83.76%, surpassing Wan2.1 14B while using 7× fewer parameters and substantially less training data.
That separating prompt alignment, temporal consistency, and fine-detail recovery into distinct architectural stages actually reduces interference and drives the observed gains, rather than the gains arising mainly from the dynamic token routing, early feature alignment, or other unstated aspects of the training recipe.
Motif-Video 2B achieves 83.76% VBench score, beating a 14B-parameter baseline with 7x fewer parameters and substantially less training data through shared cross-attention and a three-part backbone.
Receipt and verification
| First computed | 2026-05-20T01:05:13.743500Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4eb05be71bdd18a66d56e2c5ff4c057ae5d5ebce652b2fd009f2812f8bdce389
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J2YFXZY33UMKM3KW4LC76TAFPL \
| 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: 4eb05be71bdd18a66d56e2c5ff4c057ae5d5ebce652b2fd009f2812f8bdce389
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "69298a6784daed110a9554e6e6b78272b8737d3308231f726b583112a9e3d994",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-04-14T15:09:39Z",
"title_canon_sha256": "6e8b79a904223c58498d3f57c7a29bfacc6c6429f415b10f39c0be4dac8db7b7"
},
"schema_version": "1.0",
"source": {
"id": "2604.16503",
"kind": "arxiv",
"version": 2
}
}