Paper Citation Record · LEDGER

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2509.06312.

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

pith.paper-citation-record.v1
2509.06312 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:21:08.266930Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy13
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98310f44-a563-4c20-965e-8cf203fa4af5 · outbound

This paper cites Toward Seamless Locali zation and Communication: A Satellite-UA V NTN Architecture,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Toward Seamless Locali zation and Communication: A Satellite-UA V NTN Architecture,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.171044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7720a816-24ea-4ff3-94d8-b4002cd274da · outbound

This paper cites From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.178203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03557310-6d88-4f73-9541-f6946f24c177 · outbound

This paper cites UA V -Aided Localization and Communication: Joint Frame Structure, Be amwidth, and Power Allocation,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition UA V -Aided Localization and Communication: Joint Frame Structure, Be amwidth, and Power Allocation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.184471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80da9dac-eb86-42b7-9ea0-0a5e2aba5773 · outbound

This paper cites Age of Information Based Scheduling for UA V Aided Localiza tion and Communication,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Age of Information Based Scheduling for UA V Aided Localiza tion and Communication,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.189813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69efdea4-6a80-46ed-ba9d-4e94543ef8fb · outbound

This paper cites UA V -Ai ded Positioning Systems for Ground Devices: Fundamental Limit s and Algorithms,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition UA V -Ai ded Positioning Systems for Ground Devices: Fundamental Limit s and Algorithms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.554854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c916c4cd-67f5-451a-9f65-32c4bfb6e79f · outbound

This paper cites Sensing, Commun ication, and Control Co-Design for Energy-Efﬁcient UA V -Aided Data C ollec- tion,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Sensing, Commun ication, and Control Co-Design for Energy-Efﬁcient UA V -Aided Data C ollec- tion,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.200406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f616481-37d5-49ad-a326-1e5b30ca0a94 · outbound

This paper cites Generative AI for Integrated Sensing and Communication: I nsights From the Physical Layer Perspective,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Generative AI for Integrated Sensing and Communication: I nsights From the Physical Layer Perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.527132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f9b682a-66ef-4193-aca0-a23f182c8940 · outbound

This paper cites Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.210587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c144e597-63a2-4574-a757-4a6a6d88620f · outbound

This paper cites Large La nguage Models Empower Multimodal Integrated Sensing and Communic ation,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Large La nguage Models Empower Multimodal Integrated Sensing and Communic ation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.511210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f024e67-c745-4d55-bfc4-c78918d617c5 · outbound

This paper cites Y ou Only Look Once: Uniﬁed, Real-Time Object Detection,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Y ou Only Look Once: Uniﬁed, Real-Time Object Detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.494150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e34b65a1-76a3-4519-adf7-e42a9b397a59 · outbound

This paper cites Anti-UA V: A Large-Scale Benchmark for Vision-Based UA V Tracking,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Anti-UA V: A Large-Scale Benchmark for Vision-Based UA V Tracking,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.476673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1979fb4-8afc-41ad-b87d-04525eb7ced4 · outbound

This paper cites Local Point Matching f or Collab- orative Image Registration and RGBT Anti-UA V Tracking,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Local Point Matching f or Collab- orative Image Registration and RGBT Anti-UA V Tracking,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.458289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60800f64-010c-4340-afab-c147336f0246 · outbound

This paper cites Multi-Modal UA V Detection, Classiﬁcation and Tracking Algorithm – Technical Report fo r CVPR 2024 UG2 Challenge,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Multi-Modal UA V Detection, Classiﬁcation and Tracking Algorithm – Technical Report fo r CVPR 2024 UG2 Challenge,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.441418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c2a5ace-3dbd-4265-b919-2ffa335a3afb · outbound

This paper cites A V ehicle-Moun ted Radar-Vision System for Precisely Positioning Clustering UA Vs,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition A V ehicle-Moun ted Radar-Vision System for Precisely Positioning Clustering UA Vs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.424457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f21759b-74d5-4029-b043-88ade964007a · outbound

This paper cites In frared and Visible Camera Integration for Detection and Tracking of Sm all UA Vs: Systematic Evaluation,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition In frared and Visible Camera Integration for Detection and Tracking of Sm all UA Vs: Systematic Evaluation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.407317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b24303cd-fc62-4a60-9a24-9156e815744a · outbound

This paper cites Distinguishing Mal icious Drones Using Vision Transformer,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Distinguishing Mal icious Drones Using Vision Transformer,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.391689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6d41bfa-6aec-4807-a22f-0f73f4a40e01 · outbound

This paper cites Aerial Intruder Interception Based on Threat Classiﬁcation for Enhanced Situational Awareness,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Aerial Intruder Interception Based on Threat Classiﬁcation for Enhanced Situational Awareness,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.376299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98635008-64b6-41ef-bf89-f0bc266e6d59 · outbound

This paper cites An Intent Re cognition Method for Aerial Swarm Based on Attention Pooling Mechanis m,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition An Intent Re cognition Method for Aerial Swarm Based on Attention Pooling Mechanis m,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.360995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45ce9439-8c2b-4a78-a4f8-59fd89854b99 · outbound

This paper cites From Behavior to Natural Language: Generative Approach for Unmanned Aerial V ehicle Intent Recognition,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition From Behavior to Natural Language: Generative Approach for Unmanned Aerial V ehicle Intent Recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:21:08.344745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 308e1398-102c-4ab5-90f8-811304d8c17d · outbound

This paper cites Low-Com plexity Channel Estimation in OTFS Systems With Fractional Effects ,.

Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition Low-Com plexity Channel Estimation in OTFS Systems With Fractional Effects ,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T16:21:08.266930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.