Pith Number

pith:TZ54PFCW

pith:2026:TZ54PFCWAUX3PO3GZABMVJ4WTT

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ESIA: An Energy-Based Spatiotemporal Interaction-Aware Framework for Pedestrian Intention Prediction

Chongfeng Wei, Edmond S. L. Ho, Lin Wu, Meiting Dang, Yanping Wu, Zhenghua Chen

ESIA casts pedestrian intention prediction as energy minimization over a spatiotemporal graph to enforce scene-level consistency.

arxiv:2604.23728 v2 · 2026-04-26 · cs.CV · cs.AI

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\pithnumber{TZ54PFCWAUX3PO3GZABMVJ4WTT}

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Record completeness

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2 Internet Archive

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

Extensive experiments on standard benchmarks demonstrate that ESIA achieves state-of-the-art performance with improved interpretability over existing methods.

C2weakest assumption

That the proposed unary and pairwise potentials plus structural consistency terms, when optimized via U-SSA, will produce predictions that are both more accurate and more interpretable than prior methods on real-world data without introducing new failure modes from the graph construction or annealing process.

C3one line summary

ESIA casts pedestrian intention prediction as CRF structured prediction on a spatiotemporal graph, combining unary individual potentials, pairwise interaction potentials, and structural consistency penalties into a global energy function solved by unary-seeded simulated annealing.

Receipt and verification

First computed	2026-05-26T02:04:11.443581Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9e7bc79456052fb7bb66c802caa7969ce3822a655e680e419142253722e8b627

Aliases

arxiv: 2604.23728 · arxiv_version: 2604.23728v2 · doi: 10.48550/arxiv.2604.23728 · pith_short_12: TZ54PFCWAUX3 · pith_short_16: TZ54PFCWAUX3PO3G · pith_short_8: TZ54PFCW

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TZ54PFCWAUX3PO3GZABMVJ4WTT \
  | 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: 9e7bc79456052fb7bb66c802caa7969ce3822a655e680e419142253722e8b627

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "28f28ed027687bf45ca1efc42888835403dd1340ba744679fabea366ccce593d",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-26T14:13:58Z",
    "title_canon_sha256": "1122d90bf1b86e570f3b514ed18074d953a8751a4ebd92159d4144375ecd8c04"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.23728",
    "kind": "arxiv",
    "version": 2
  }
}