Pith Number

pith:6LIYFGEP

pith:2026:6LIYFGEPJ22R75C6GAZIKIJS7X

not attested not anchored not stored refs resolved

LMPath: Language-Mediated Priors and Path Generation for Aerial Exploration

Camillo J. Taylor, Fernando Cladera, Jonathan A. Diller, Vijay Kumar

LMPath uses language models on satellite imagery to generate semantic priors that guide UAV search paths more efficiently than uniform geometric coverage.

arxiv:2605.13782 v1 · 2026-05-13 · cs.RO · cs.AI

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\pithnumber{6LIYFGEPJ22R75C6GAZIKIJS7X}

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Claims

C1strongest claim

paths generated using LMPath outperform traditional path planning approaches for search missions

C2weakest assumption

That generative language models and foundation vision models can reliably identify regions likely to contain the prompted object from satellite imagery alone, without domain-specific fine-tuning or validation against ground truth.

C3one line summary

LMPath generates language-mediated priors from object prompts and satellite segmentation to produce UAV search paths that outperform traditional geometric coverage in simulations and real flights.

References

10 extracted · 10 resolved · 0 Pith anchors

[1] Proceedings of the 23rd Annual International Conference on Mobile Systems, Applications and Services , pages = 2025

[2] UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation , year=

[3] HALO: High-Altitude Language-Conditioned Monocular Aerial Exploration and Navigation , author=. 2025 , eprint= 2025

[4] UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning , author=. 2025 , eprint= 2025

[5] UAV-VLPA*: Vision-Language Guided Global-Local UAV Mission Planning from Satellite Imagery , year=

Receipt and verification

First computed	2026-05-18T02:44:15.723703Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f2d182988f4eb51ff45e3032852132fdf747cd80fbac56c5b57c4f934b646571

Aliases

arxiv: 2605.13782 · arxiv_version: 2605.13782v1 · doi: 10.48550/arxiv.2605.13782 · pith_short_12: 6LIYFGEPJ22R · pith_short_16: 6LIYFGEPJ22R75C6 · pith_short_8: 6LIYFGEP

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6LIYFGEPJ22R75C6GAZIKIJS7X \
  | 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: f2d182988f4eb51ff45e3032852132fdf747cd80fbac56c5b57c4f934b646571

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7560c65e2772fa99a4b0277ddfbfa1234423567f7e6c256f05609b283c154607",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.RO",
    "submitted_at": "2026-05-13T17:02:51Z",
    "title_canon_sha256": "d4917213a9f77d6a6f1bbb14b6e800ee7dfe9b549357e7a3e09a3ba0f3a0ea88"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13782",
    "kind": "arxiv",
    "version": 1
  }
}