pith:ZE5KO7FX
CREST: Curvature-Regulated Event-Centric Sampling for Efficient Long-Video Understanding
CATS selects long-video frames by tracking curvature in query-relevance scores over time.
arxiv:2605.09223 v2 · 2026-05-09 · cs.CV
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Claims
Under a fixed backbone and frame budget, CATS consistently outperforms prior lightweight approaches such as AKS on LongVideoBench and VideoMME. CATS retains approximately 93-95% of MIRA's performance while requiring only 3-4% of its preprocessing cost.
That curvature of query-frame relevance scores reliably identifies salient events and surrounding context across diverse video domains without systematic omission of critical information.
CATS uses temporal curvature of query-frame relevance to select informative frames, achieving 93-95% of heavy multi-stage accuracy at 3-4% of the preprocessing cost on long-video benchmarks.
Receipt and verification
| First computed | 2026-05-26T02:04:12.608900Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c93aa77cb76187886df613370ae581e3417d62bc861ace582ed2bd96d4983511
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZE5KO7FXMGDYQ3PWCM3QVZMB4N \
| 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: c93aa77cb76187886df613370ae581e3417d62bc861ace582ed2bd96d4983511
Canonical record JSON
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