{
  "url": "https://appliedfrontier.nl/en/research/signal-2dc438390afdccef/",
  "title": "TaskFrame: Connecting Task-Level Planning with Frame-Level Control for Game Agents",
  "published": "2026-10-29",
  "excerpt": "Building general game agents requires both high-level task reasoning and low-latency action control in rapidly changing visual environments. These capabilities favor models with substantially different",
  "content_sha256": "2c9b9623e227aa74e3789af2a7ecc5554f563854c770cbb0a96ed0c29e51ccdb",
  "extracted_chars": 1333,
  "artifact_links": [
    "https://arxiv.org/abs/2610.40276"
  ],
  "arxiv_id": "2610.40276",
  "extraction_scope": "preprint_abstract_metadata",
  "full_text_available": false,
  "id": "signal-2dc438390afdccef",
  "org": "Research community",
  "topic": "Agent systems",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_research_triage_v2",
  "novelty_verified": false,
  "proof_checked": false,
  "peer_review_verified": false,
  "matched_terms": [
    "reasoning"
  ],
  "checked_at": "2026-10-31T19:32:55+00:00",
  "first_seen": "2026-10-31T19:32:55+00:00",
  "source_hash": "f3e9026e27be9c5f6d193eae5d93db94aa868b2260ee20f8274f6dba6ea8cc3e",
  "source_url": "https://arxiv.org/abs/2610.40276",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}
