pith:2JPMMZB4
Do Joint Audio-Video Generation Models Understand Physics?
Joint audio-video generation models generate plausible content but fail to maintain real-world physical consistency across transitions.
arxiv:2605.07061 v2 · 2026-05-08 · cs.SD · cs.AI · cs.CV · cs.MM
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\pithnumber{2JPMMZB45P2RPTO3YBL24CA64V}
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Claims
Across three proprietary and four open-source models, we find that Seedance 2.0 performs best overall, but all models remain far from robust physical understanding. Performance drops sharply on event-driven and environment-driven transitions, and even strong proprietary systems collapse on Anti-AV-Physics prompts.
That the five evaluation dimensions (visual/audio semantic adherence, visual/audio physical commonsense, cross-modal physical commonsense) together constitute a sufficient and unbiased measure of physical understanding without requiring additional human validation or external physics simulators.
Current joint audio-video generation models lack robust physical commonsense, especially during transitions and when prompted for impossible behaviors.
Formal links
Receipt and verification
| First computed | 2026-06-02T01:03:48.229439Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2JPMMZB45P2RPTO3YBL24CA64V \
| 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: d25ec6643cebf517cddbc057ae081ee56c76d74852cf320a3ecc0ef5ae6a91a4
Canonical record JSON
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