Pith Number

pith:HIKVT65P

pith:2026:HIKVT65PGGSZQ3M2PBN7H345UR

not attested not anchored not stored refs resolved

Hybrid LLM-based Intelligent Framework for Robot Task Scheduling

Haonan Duan, Subhabrata Das, Swayamjit Saha, Xiao-Yang Liu

Hybrid LLM framework with generator and supervisor agents creates optimized, adaptive task schedules for construction robots.

arxiv:2605.15486 v1 · 2026-05-15 · cs.RO · cs.AI

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\pithnumber{HIKVT65PGGSZQ3M2PBN7H345UR}

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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

Our results highlight that the implementation of LLMs is crucial in construction operational tasks including robots.

C2weakest assumption

That providing agent action abilities and end goals to the generator and supervisor LLMs will produce a well-balanced, real-time adaptive schedule that actually optimizes time and resources under unpredictable site conditions.

C3one line summary

Hybrid LLM framework using generator and supervisor agents to optimize task scheduling for construction robots, evaluated on a simple scenario with reported metrics.

References

16 extracted · 16 resolved · 3 Pith anchors

[1] Zhao, S., Wang, Q., Fang, X., Liang, W., Cao, Y ., Zhao, C., ... & Wang, K. (2022). Application and development of autonomous robots in concrete construction: Challenges and opportunities. Drones, 6(1 2022

[2] Gemma 3 Technical Report 2025 · arXiv:2503.19786

[3] ”The Llama 4 herd: The beginning of a new era of na- tively multimodal AI innovation — Meta.” Accessed Apr. 08, 2025. [Online]. Available: https://ai.meta.com/blog/llama-4- multimodal-intelligence/ 2025

[4] Q., Sablayrolles, A., Mensch, A., Bamford, C., Chap- lot, D 2023 · arXiv:2310.06825

[5] GPT-4 Technical Report 2023 · arXiv:2303.08774

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:01:01.185225Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3a1559fbaf31a5986d9a785bf3ef9da478a60facfd946327ee7e6ceadd4b22f7

Aliases

arxiv: 2605.15486 · arxiv_version: 2605.15486v1 · doi: 10.48550/arxiv.2605.15486 · pith_short_12: HIKVT65PGGSZ · pith_short_16: HIKVT65PGGSZQ3M2 · pith_short_8: HIKVT65P

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HIKVT65PGGSZQ3M2PBN7H345UR \
  | 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: 3a1559fbaf31a5986d9a785bf3ef9da478a60facfd946327ee7e6ceadd4b22f7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9a7fbe14de1fd87f32d7d418a18d28ac50cedd7f142ba5578e503efb80685c3c",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2026-05-15T00:04:38Z",
    "title_canon_sha256": "247acb1eafb93e096db299ea1905d5d9f1499706eb28b23886ae8c6d425cc9a5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15486",
    "kind": "arxiv",
    "version": 1
  }
}