Paper Citation Record · LEDGER

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2507.11173.

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

pith.paper-citation-record.v1
2507.11173 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:19:43.140620Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:38:24.044348Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:43:22.752326Z

Reference resolution

21 of 21 outbound references displayed

verified exact2
verified fuzzy18
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69cb24e5-0cce-40ac-9467-d4d62173ce4f · outbound

This paper cites Uav trajectory optimization for tim e- constrained data collection in uav-enabled environmental monitoring systems,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Uav trajectory optimization for tim e- constrained data collection in uav-enabled environmental monitoring systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:46.426174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bc3ea5c7-2068-4fba-81ca-914acb31d61a · outbound

This paper cites Efﬁcient path-following for urban logistics: A fuzzy cont rol strategy for consumer uavs under disturbance constraints,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Efﬁcient path-following for urban logistics: A fuzzy cont rol strategy for consumer uavs under disturbance constraints,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:46.248390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7428ff1-566d-41c0-bc50-aede219fa2af · outbound

This paper cites Senso r planning for a symbiotic uav and ugv system for precision agriculture,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Senso r planning for a symbiotic uav and ugv system for precision agriculture,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:46.101781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44b0638c-3035-44ec-9b17-13011bf71c5c · outbound

This paper cites Intelligent gnss/ins integrate d nav- igation system for a commercial uav ﬂight control system,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Intelligent gnss/ins integrate d nav- igation system for a commercial uav ﬂight control system,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.996390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f6509a4-3a6a-472a-b2a8-309027a13b9a · outbound

This paper cites Known vulner- abilities of global navigation satellite systems, status, and potential mitigation techniques,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Known vulner- abilities of global navigation satellite systems, status, and potential mitigation techniques,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.884282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25ed6d28-4688-44a6-9cf9-d9afd386b5d0 · outbound

This paper cites Tractor beam: Safe-hijacking of consumer drones with adaptive gps spooﬁng,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Tractor beam: Safe-hijacking of consumer drones with adaptive gps spooﬁng,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.723407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1ce7b77-6818-4f68-a3eb-574353f91a28 · outbound

This paper cites Autonomous navigation of uavs in large-scale complex environments: A deep reinforcement learning approach,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Autonomous navigation of uavs in large-scale complex environments: A deep reinforcement learning approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.519356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8349e43-b676-409c-9da3-cfdfdc31fa34 · outbound

This paper cites An approach to detect gnss spooﬁng,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction An approach to detect gnss spooﬁng,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.327331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4d2f66df-0095-4aeb-acf8-caf4014a1d91 · outbound

This paper cites Trusted multisource fusion navigation for uav under gnss interference and spoof - ing attacks,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Trusted multisource fusion navigation for uav under gnss interference and spoof - ing attacks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.152631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7cb19f3a-43f3-49fb-a038-51d1ebd0e251 · outbound

This paper cites Deep neural network approach to detect gnss spooﬁng attacks,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Deep neural network approach to detect gnss spooﬁng attacks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:45.000745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 295f51f2-0ca5-42f9-8cf8-fc6602571e62 · outbound

This paper cites A deep learning base d induced gnss spoof detection framework,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction A deep learning base d induced gnss spoof detection framework,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:44.828511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdc8135c-431a-47b5-b5d3-4ab0f2d6ed6a · outbound

This paper cites Generative adversarial eva- sion and out-of-distribution detection for uav cyber-atta cks,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Generative adversarial eva- sion and out-of-distribution detection for uav cyber-atta cks,

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:19:43.609320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc6e6265-5010-475b-b015-fa62127e36bd · outbound

This paper cites Deep one-class classiﬁcation,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Deep one-class classiﬁcation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:44.693654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35b26f6e-700b-4f31-aca4-aae0ea0a34a6 · outbound

This paper cites Class-aware contrastive semi-supervised learning,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Class-aware contrastive semi-supervised learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:44.508434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f469b8ae-fe57-4dad-bea0-be10040325a1 · outbound

This paper cites Feed- back recurrent autoencoder,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Feed- back recurrent autoencoder,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:44.365495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation edf7fc2e-d884-459b-9e81-b9eeac2e6640 · outbound

This paper cites Unsupervise d machine anomaly detection using autoencoder and temporal convolutional network,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Unsupervise d machine anomaly detection using autoencoder and temporal convolutional network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:44.233986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d1fa3f5-5368-40c1-8182-59c2e7d66852 · outbound

This paper cites Bayesian Online Changepoint Detection.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Bayesian Online Changepoint Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:42.805289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06f8497-8bd5-458d-beda-f4996090bf82 · outbound

This paper cites Long short term memory networks for anomaly detection in time series,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Long short term memory networks for anomaly detection in time series,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:44.085978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 758271b4-3516-4ae3-ad7f-95774bb65464 · outbound

This paper cites Sciki t- multiﬂow: A multi-output streaming framework,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Sciki t- multiﬂow: A multi-output streaming framework,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:43.922425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31227890-1a58-4e55-88b9-7a37d206a8e9 · outbound

This paper cites Gnss spooﬁng and de- tection,.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Gnss spooﬁng and de- tection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:19:43.762045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8cb2a31-e0bb-4b49-a175-d4997502a458 · outbound

This paper cites Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments.

Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:19:43.382028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation e5de0d8a-c91f-4109-91d7-9b3a50cee501 · inbound

Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments cites this paper.

Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:43:22.839924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b78ddf1-f2f2-4938-a376-1889e976ad5a · inbound

Rigid-Covert GNSS Spoofing of UAV Swarms: A Structural Blind Spot, Its Detection Limit, and Absolute-Anchor Defenses cites this paper.

Rigid-Covert GNSS Spoofing of UAV Swarms: A Structural Blind Spot, Its Detection Limit, and Absolute-Anchor Defenses Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T14:38:24.044348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.