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pith:ZE5KO7FX

pith:2026:ZE5KO7FXMGDYQ3PWCM3QVZMB4N
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CREST: Curvature-Regulated Event-Centric Sampling for Efficient Long-Video Understanding

Abdul Mohaimen Al Radi, Ismat Rahman, Md Mosaddek Khan, Md. Tanvir Alam, Mehrajul Abadin Miraj, Shariful Islam Rayhan, Yu Tian

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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\usepackage{pith}
\pithnumber{ZE5KO7FXMGDYQ3PWCM3QVZMB4N}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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.

Claims

C1strongest claim

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.

C2weakest assumption

That curvature of query-frame relevance scores reliably identifies salient events and surrounding context across diverse video domains without systematic omission of critical information.

C3one line summary

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

arxiv: 2605.09223 · arxiv_version: 2605.09223v2 · doi: 10.48550/arxiv.2605.09223 · pith_short_12: ZE5KO7FXMGDY · pith_short_16: ZE5KO7FXMGDYQ3PW · pith_short_8: ZE5KO7FX
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
{
  "metadata": {
    "abstract_canon_sha256": "d863c7aadb433fee407c9e3456890859a9a3da125c5dcb4e71ab9e70fcbed22c",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-09T23:47:46Z",
    "title_canon_sha256": "f08d9475c9e83d2c91ec7e41d3b77914c3a95f89ded01af82ac795f1f3db8be3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.09223",
    "kind": "arxiv",
    "version": 2
  }
}