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Paper Citation Record · LEDGER

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.03619.

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

pith.paper-citation-record.v1
2502.03619 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:24:04.199783Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4e78b69-a035-4350-86bc-ee75f0ccd29e · outbound

This paper cites Ukrainian drone disables Russian warship near Russia’s Novorossiysk port,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Ukrainian drone disables Russian warship near Russia’s Novorossiysk port,

Reference 1

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raw_fallback, observed 2026-08-09T04:24:04.513770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1d44a7d8-dc09-4b67-8a8f-c9bc8b097242 · outbound

This paper cites AI’s ‘Oppenheimer moment’: autonomous weapons enter the battlefield,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs AI’s ‘Oppenheimer moment’: autonomous weapons enter the battlefield,

Reference 2

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ab568ba9-da3f-4310-bd24-bf7d50e4e1ea · outbound

This paper cites Kallenborn, Are drone swarms weapons of mass destruction? The Counterproliferation Papers Future Warfare Series, no.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Kallenborn, Are drone swarms weapons of mass destruction? The Counterproliferation Papers Future Warfare Series, no

Reference 3

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f7162049-53be-40ed-b21b-c283d15cc1d5 · outbound

This paper cites Swarms over the Strait,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Swarms over the Strait,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.110499Z digest=sha256:4f9e405caa64215524e7850318da992d74ce114bfc1ec0ecb913f77d600f4c68

Observation a997f7a8-cdcd-4b95-a962-034b6ec45b98 · outbound

This paper cites Artificial Intelligence and the Future of Warfare,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Artificial Intelligence and the Future of Warfare,

Reference 5

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.114933Z digest=sha256:9498dc0ddea7d09f6535ea32e8ef8662aa11c5a6c560f108ce6d34940e31dcd8

Observation 4aca8d49-a7b6-4849-876e-9d0142e94e1e · outbound

This paper cites Hicks Underscores U.S. Innovation in Unveiling Strategy to Counter China’s Military Buildup,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Hicks Underscores U.S. Innovation in Unveiling Strategy to Counter China’s Military Buildup,

Reference 6

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Source-reported events for the cited work

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Observation 4fc99def-b3ef-466e-af7a-fffcb306200e · outbound

This paper cites Report on Applied Research Directions and Future Opportunities for Swarm Systems in Defence,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Report on Applied Research Directions and Future Opportunities for Swarm Systems in Defence,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.123426Z digest=sha256:3d1ebd75e3dd599358d0455cb5a49cb2abf67f8760236d2ca542e313359cf7e5

Observation c68a1277-c19b-4646-9d69-27cc22f48a53 · outbound

This paper cites The Ethics of Autonomous Cars,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs The Ethics of Autonomous Cars,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.127146Z digest=sha256:6653f911d8c5eab0371113a66ece3315ab6a1f168e3e0872bd6a33cdd60389bb

Observation 3cb90140-c047-4485-83f3-e4e7e67ffd0b · outbound

This paper cites A Survey on Autonomous Vehicles Interactions with Human and other Vehicles,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs A Survey on Autonomous Vehicles Interactions with Human and other Vehicles,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.130983Z digest=sha256:c0372a7eca3afd08fc25d8076a09de5e6ec94d3659e738de52a81ec5b3846719

Observation 5482979b-e2bb-4cf6-b144-c7f72fbc6b25 · outbound

This paper cites Implementation of Artificial Intelligence on Air Traffic Control - A Systematic Literature Review,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Implementation of Artificial Intelligence on Air Traffic Control - A Systematic Literature Review,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.135049Z digest=sha256:50db9fb92e44678e1d0b387a06a370bfd3358c76d1857ddc6ec15f3171ab683e

Observation 2da97b9d-fea7-48b6-9690-63a8ca98e7f3 · outbound

This paper cites Artificial intelligence, machine learning and deep learning in advanced robotics, a review,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Artificial intelligence, machine learning and deep learning in advanced robotics, a review,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.138982Z digest=sha256:a4b16e58ebb4b6e9bb1c3cc8edbf015b935676fc623db56b9578b65a27142338

Observation c2dc90b6-eff2-468c-8376-33b3caf39a93 · outbound

This paper cites Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.142994Z digest=sha256:43ebe11987a32181c581737aacff7a8a4c36ceadfafa3222b9eb0de943d0b45c

Observation 62b15dc8-53b1-4e92-a6d3-23baf5c403dc · outbound

This paper cites Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation afd45edb-8a59-4bde-b8c9-ba8c3a810580 · outbound

This paper cites Path Planning for Autonomous Mobile Robots: A Review,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Path Planning for Autonomous Mobile Robots: A Review,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fc208710-2765-46d7-bbeb-1bfcbbfb1d19 · outbound

This paper cites AI-driven warehouse automation: A comprehensive review of systems,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs AI-driven warehouse automation: A comprehensive review of systems,

Reference 15

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raw_fallback, observed 2026-08-09T04:24:04.353955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.156303Z digest=sha256:b84cfc4a3509cf1c551f55175a7294aeb06cf0a1742804a0c3c8150831a2892d

Observation c126498c-c09f-435a-b4cd-96c1dd5b1dca · outbound

This paper cites Optimal motion planning in rapid-fire combat situations with attacker uncertainty,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Optimal motion planning in rapid-fire combat situations with attacker uncertainty,

Reference 16

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Observation b7f6942f-2ddd-4ced-bd93-3f9624642f46 · outbound

This paper cites Defense against Adversarial Swarms with Parameter Uncertainty,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Defense against Adversarial Swarms with Parameter Uncertainty,

Reference 17

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Observation baf8754b-44ec-4981-93a3-290b24902ac0 · outbound

This paper cites Modeling Large-Scale Adversarial Swarm Engagements using Optimal Control,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Modeling Large-Scale Adversarial Swarm Engagements using Optimal Control,

Reference 18

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source=pdf_text observed=2026-08-09T04:24:04.169157Z digest=sha256:047c54fb729080eaa809c25c1c1ca3d368c502ad33ad7a1160db9b7f34a90734

Observation a51fde41-8cbe-4210-9d16-74d439724f7a · outbound

This paper cites Partial Observability Analysis of an Adversarial Swarm Model,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Partial Observability Analysis of an Adversarial Swarm Model,

Reference 19

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Observation 6a62aeaa-a82f-4c51-848d-121fc03e995f · outbound

This paper cites Swarm Charac- teristics Classification Using Neural Networks,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Swarm Charac- teristics Classification Using Neural Networks,

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8ac3e99a-4390-4d6b-ac95-e0df23470973 · outbound

This paper cites Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:24:04.181960Z digest=sha256:aaac80f1482577c624b579e6cb6eed7a6aa6bc78c024253c6974e5681f835c5a

Observation 40454d53-c95a-4389-acce-80097d524dea · outbound

This paper cites Data Augmentation techniques in time series domain: a survey and taxonomy,.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Data Augmentation techniques in time series domain: a survey and taxonomy,

Reference 22

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Observation 5babbead-307f-4d58-b152-57dea133a648 · outbound

This paper cites Nocedal and S.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Nocedal and S

Reference 23

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Observation 7f9d4573-39fd-4e88-86b3-d2bddcd8d239 · outbound

This paper cites Math- Works, Inc., 2024.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs Math- Works, Inc., 2024

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T04:24:04.195312Z digest=sha256:80556094c2e403b818dbb1da6aa21d77abe36190aca712402060dfbc4fffeef6

Observation e358b74a-7772-41d8-8601-2c623b1062ad · outbound

This paper cites MathWorks, Inc., 2024.

Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs MathWorks, Inc., 2024

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.