Paper Citation Record · LEDGER

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.22014.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.22014 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:06:27.053550Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec3cfbd5-58ee-42ba-944d-d30c22f1dadc · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.205940Z

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Unavailable: canonical work link unavailable.

Observation dd4230a2-8678-4e8b-aeb3-9715c914ba81 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.322113Z

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Observation 55877264-052d-4d56-9c15-4298c5c30555 · outbound

This paper cites ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.509088Z

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Observation 341f4d76-c855-42a0-9518-a5f3b5ef1247 · outbound

This paper cites Neusis: A compositional neuro-symbolic framework for autonomous perception, reasoning, and planning in complex uav search missions.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Neusis: A compositional neuro-symbolic framework for autonomous perception, reasoning, and planning in complex uav search missions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.619852Z

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Observation 2ed5fccc-e570-4c51-93a3-696004f56dfa · outbound

This paper cites TypeFly: Flying Drones with Large Language Model.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents TypeFly: Flying Drones with Large Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.727891Z

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Observation 79160368-0112-47d0-b764-c75123e98fe3 · outbound

This paper cites NaVILA: Legged Robot Vision-Language-Action Model for Navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents NaVILA: Legged Robot Vision-Language-Action Model for Navigation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.870692Z

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Observation 0388e1fc-4596-40cf-8314-14968ac96602 · outbound

This paper cites Spatialrgpt: Grounded spatial reasoning in vision-language models.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Spatialrgpt: Grounded spatial reasoning in vision-language models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:22.985428Z

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Observation 41aac132-8697-40a7-a404-378f641a0870 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents PaLM-E: An Embodied Multimodal Language Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:23.128305Z

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Observation fa6551c9-4ffc-4983-9dfd-87b21718a2f8 · outbound

This paper cites Unreal engine, 2019.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Unreal engine, 2019

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:23.243971Z

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Observation 58f257f1-a520-42af-ba85-2c237643191f · outbound

This paper cites Aerial vision-and-dialog navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Aerial vision-and-dialog navigation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:23.341555Z

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Observation cac186aa-430b-4d77-8fcb-aca6c0da8293 · outbound

This paper cites Openfly: A comprehensive platform for aerial vision-language navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Openfly: A comprehensive platform for aerial vision-language navigation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:23.519409Z

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Observation a7591919-e997-4f45-9756-87227c45556a · outbound

This paper cites Bedi: A comprehensive benchmark for evaluating embodied agents on uavs.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Bedi: A comprehensive benchmark for evaluating embodied agents on uavs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:23.671626Z

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Observation 1ed93ec9-34f6-4db4-a6a8-9be470d5fc34 · outbound

This paper cites See, point, fly: A learning-free vlm framework for universal unmanned aerial navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents See, point, fly: A learning-free vlm framework for universal unmanned aerial navigation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:23.823269Z

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Observation a6053d50-668a-412c-ada4-3a4e7ab9432a · outbound

This paper cites Cosys-airsim: a real-time simulation framework expanded for complex industrial applications.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Cosys-airsim: a real-time simulation framework expanded for complex industrial applications

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:24.040848Z

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Observation 3042a8fa-1ab6-4309-b836-960f98916f4f · outbound

This paper cites Citynav: A large-scale dataset for real-world aerial navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Citynav: A large-scale dataset for real-world aerial navigation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:24.167344Z

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Observation db3ba871-0065-467d-817a-1fce14300f3e · outbound

This paper cites Aerialvln: Vision-and-language navigation for uavs.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Aerialvln: Vision-and-language navigation for uavs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:24.344583Z

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Observation 1d9a592b-4f78-470f-942b-46595d1d0917 · outbound

This paper cites Unmanned aerial vehicles (uavs): Practical aspects, applications, open challenges, security issues, and future trends.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Unmanned aerial vehicles (uavs): Practical aspects, applications, open challenges, security issues, and future trends

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:24.527579Z

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Observation 5bfd415c-c03d-4bc1-af1f-c1307428d40e · outbound

This paper cites Flysearch: Exploring how vision-language models explore.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Flysearch: Exploring how vision-language models explore

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:24.709694Z

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Observation 65f50460-9375-4870-923e-b787ec04db13 · outbound

This paper cites Unrealcv: Virtual worlds for computer vision.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Unrealcv: Virtual worlds for computer vision

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:24.825591Z

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Observation 67979c39-150b-4e7a-8a17-e4836295b2f8 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Airsim: High-fidelity visual and physical simulation for autonomous vehicles

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.002520Z

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Observation dbf39903-e55b-408f-bb48-57a0b77cf14a · outbound

This paper cites Unmanned aerial vehicles (uavs): A survey on civil applications and key research challenges.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Unmanned aerial vehicles (uavs): A survey on civil applications and key research challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.128108Z

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Observation a7a5c4a5-db10-4761-8417-62f3f3a5439a · outbound

This paper cites Alfred: A benchmark for interpreting grounded instructions for everyday tasks.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Alfred: A benchmark for interpreting grounded instructions for everyday tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.278237Z

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Observation 04f9071a-34e7-4df7-80e4-be0ed12d917a · outbound

This paper cites UAVs meet LLMs : Overviews and perspectives toward agentic low-altitude mobility, 2025.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents UAVs meet LLMs : Overviews and perspectives toward agentic low-altitude mobility, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.426013Z

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Observation f67ef22f-c96e-496b-9fed-e703bb4050c4 · outbound

This paper cites Cambrian-1: A fully open, vision-centric exploration of multimodal llms.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Cambrian-1: A fully open, vision-centric exploration of multimodal llms

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.547686Z

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Observation 974fd98a-3256-4475-81d7-60bc26bff0d8 · outbound

This paper cites Towards realistic uav vision-language navigation: Platform, benchmark, and methodology.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Towards realistic uav vision-language navigation: Platform, benchmark, and methodology

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.666211Z

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Observation 5fd02f4f-3bd6-4d32-afbe-ea66ab9d1f71 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Chain-of-thought prompting elicits reasoning in large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:25.860668Z

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Observation 5a64412e-eeb4-4797-b757-92ac34df7be0 · outbound

This paper cites Uav-on: A benchmark for open-world object goal navigation with aerial agents.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Uav-on: A benchmark for open-world object goal navigation with aerial agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:26.055345Z

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Observation 7d98032a-5083-4a3e-bf17-822cd8fe2055 · outbound

This paper cites Aeroverse: Uav-agent benchmark suite for simulating, pre-training, finetuning, and evaluating aerospace embodied world models.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Aeroverse: Uav-agent benchmark suite for simulating, pre-training, finetuning, and evaluating aerospace embodied world models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:26.183336Z

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Observation 523e0590-29fe-44c9-b6c2-695bdb17d436 · outbound

This paper cites ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:26.379840Z

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Observation bfaa9010-c4e0-4e65-9d65-3ddcf053f311 · outbound

This paper cites NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:26.559465Z

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Observation 3e1e7f5a-c240-4266-a3ac-94ed28ff8bd1 · outbound

This paper cites Is your vlm sky-ready? a comprehensive spatial intelligence benchmark for uav navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Is your vlm sky-ready? a comprehensive spatial intelligence benchmark for uav navigation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:26.720238Z

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Observation cab63ab8-972c-40ff-b6d4-ff9bb840a4ff · outbound

This paper cites Towards learning a generalist model for embodied navigation.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Towards learning a generalist model for embodied navigation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:26.882286Z

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Observation c9dd02ac-605d-438f-97c7-8314f87ef883 · outbound

This paper cites Navgpt-2: Unleashing navigational reasoning capability for large vision-language models.

Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents Navgpt-2: Unleashing navigational reasoning capability for large vision-language models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T06:06:27.053550Z

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Pith citing papers

No inbound Pith citation observations are available.