Pith Number

pith:Q4HAQCFS

pith:2026:Q4HAQCFSPQYDKAEL64U6WKFBGG

not attested not anchored not stored refs pending

IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents

Rongqian Chen, Sizhe Tang, Tian Lan, Weidong Cao, Yu Li, Zeyu Fang

A reward model that embeds planning intent scores candidate actions for GUI agents, achieving 97.5 percent pairwise accuracy and lifting success rates by 6.9 points on unseen tasks.

arxiv:2604.05157 v2 · 2026-04-06 · cs.AI

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\usepackage{pith}
\pithnumber{Q4HAQCFSPQYDKAEL64U6WKFBGG}

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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

IntentScore achieves 97.5% pairwise discrimination accuracy on held-out evaluation. Deployed as a re-ranker for Agent S3 on OSWorld, an environment entirely unseen during training, IntentScore improves task success rate by 6.9 points.

C2weakest assumption

That the 398K offline trajectories from three operating systems contain sufficient coverage of the action distributions and intent patterns that will appear when the model is deployed as a re-ranker for new agents on new task distributions.

C3one line summary

IntentScore learns intent-conditioned action scores from offline GUI trajectories and raises task success by 6.9 points on an unseen agent and environment.

Receipt and verification

First computed	2026-05-25T02:02:15.106552Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

870e0808b27c3035008bf729eb28a13185f55d7d07c3d4388e8f9fe566d0f3be

Aliases

arxiv: 2604.05157 · arxiv_version: 2604.05157v2 · doi: 10.48550/arxiv.2604.05157 · pith_short_12: Q4HAQCFSPQYD · pith_short_16: Q4HAQCFSPQYDKAEL · pith_short_8: Q4HAQCFS

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q4HAQCFSPQYDKAEL64U6WKFBGG \
  | 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: 870e0808b27c3035008bf729eb28a13185f55d7d07c3d4388e8f9fe566d0f3be

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1fd3992fcca9df7bd982c234f7abb1e51ff4569acf7c0693ab87640dff200178",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-06T20:39:30Z",
    "title_canon_sha256": "e9bb77a77a4875add3f89238b977fcffd78b3ed4feea3058ca7676af8539984f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.05157",
    "kind": "arxiv",
    "version": 2
  }
}