Pith Number

pith:4TCLOVFF

pith:2026:4TCLOVFF7ZH4ZYBVR2UNA6WQEU

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Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior

Alp Tural, Andrew Katz, Elif Tural, Nada Basit, Nolan Platt, Saad Nizamani, Sehrish Nizamani, Yoonje Lee

LLMs can perform zero-shot analysis of student attention using only pose and gaze coordinates from classroom videos.

arxiv:2604.03401 v4 · 2026-04-03 · cs.HC · cs.AI · cs.CV

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\pithnumber{4TCLOVFF7ZH4ZYBVR2UNA6WQEU}

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Record completeness

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Our preliminary findings suggest that LLMs may show promise for multimodal behavior understanding, although they still struggle with spatial reasoning about classroom layouts.

C2weakest assumption

That geometric pose and gaze coordinates extracted by pre-trained models are sufficient for an LLM to perform accurate zero-shot inference of student attention levels without domain-specific fine-tuning or spatial context.

C3one line summary

A pipeline uses OpenPose and Gaze-LLE to extract pose and gaze data from classroom videos, deletes the raw footage, and applies an LLM for zero-shot behavioral analysis of student attention.

Receipt and verification

First computed	2026-06-29T01:14:30.929083Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e4c4b754a5fe4fcce0358ea8d07ad0250916bcf9c31c0239e54a91c789da84b7

Aliases

arxiv: 2604.03401 · arxiv_version: 2604.03401v4 · doi: 10.48550/arxiv.2604.03401 · pith_short_12: 4TCLOVFF7ZH4 · pith_short_16: 4TCLOVFF7ZH4ZYBV · pith_short_8: 4TCLOVFF

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4TCLOVFF7ZH4ZYBVR2UNA6WQEU \
  | 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: e4c4b754a5fe4fcce0358ea8d07ad0250916bcf9c31c0239e54a91c789da84b7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4c55e4c2f4c1129c94108b5d75ce211b9cc3dc2f10601e27dfb70f244b002956",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-04-03T19:04:31Z",
    "title_canon_sha256": "c5fcbec534f2f0a4cbf37a8fa76039eabc6725cd29fe6442580883bb737acddc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.03401",
    "kind": "arxiv",
    "version": 4
  }
}