Paper Citation Record · LEDGER

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.03039.

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

pith.paper-citation-record.v1
2507.03039 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:37:48.828193Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

38 of 38 outbound references displayed

verified exact1
verified fuzzy33
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c78f8a57-6e90-46c4-9846-0dcc129db240 · outbound

This paper cites Heat kernels, mani- folds and graph embedding.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Heat kernels, mani- folds and graph embedding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:55.307314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0370348-c620-4df4-bda1-4f433a759a53 · outbound

This paper cites Col- lective response to perturbations in a data-driven fish school model.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Col- lective response to perturbations in a data-driven fish school model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:55.185071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a18c3726-f48a-4be6-a84d-9de5e4c30e82 · outbound

This paper cites Modeling bird flight formations using diffusion adaptation.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Modeling bird flight formations using diffusion adaptation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:54.980126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3695adc0-e27c-40fe-90c5-5993e3db1796 · outbound

This paper cites Spatial temporal graph neural net- 9 Enhancing Swarms’ Durability to Threats via GNN-based Generative Modeling works for decentralized control of robot swarms.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Spatial temporal graph neural net- 9 Enhancing Swarms’ Durability to Threats via GNN-based Generative Modeling works for decentralized control of robot swarms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:54.747245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b58fca4a-2821-4ab2-8f23-5b0b6510e929 · outbound

This paper cites A minimal model of predator–swarm interactions.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling A minimal model of predator–swarm interactions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:54.549851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49f8ff9b-0c0a-499a-bd7d-64551f8ba2bf · outbound

This paper cites Self-organization and collective behavior in vertebrates.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Self-organization and collective behavior in vertebrates

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:37:45.911463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42967e1b-11f1-4dac-ba11-219fc92e4da4 · outbound

This paper cites Effective leadership and decision- making in animal groups on the move.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Effective leadership and decision- making in animal groups on the move

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:54.206122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6ab658e-5869-4602-acf3-cf2badc0f27d · outbound

This paper cites Pygsp: Graph signal processing in python (v0.5.0), 2017.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Pygsp: Graph signal processing in python (v0.5.0), 2017

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.903864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4eee0c1f-67ab-4643-b815-5c84b6407f2a · outbound

This paper cites Graph signal process- ing for machine learning: A review and new perspec- tives.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Graph signal process- ing for machine learning: A review and new perspec- tives

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.758469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72953927-078b-4f94-84fe-e6fbbc5a61c1 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Fast Graph Representation Learning with PyTorch Geometric

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:37:46.175466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac18971-b762-405d-8a82-989a7ba5b44e · outbound

This paper cites Induc- tive representation learning on large graphs.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Induc- tive representation learning on large graphs

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.559020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 625ef78e-cd0c-4b1c-9a46-0c1a76880ecc · outbound

This paper cites Geometry for the selfish herd.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Geometry for the selfish herd

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.411104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dcbe2f17-123f-4e8b-bc60-37c31c9b58dd · outbound

This paper cites Graph diffusion distance: A difference measure for weighted graphs based on the graph laplacian exponen- tial kernel.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Graph diffusion distance: A difference measure for weighted graphs based on the graph laplacian exponen- tial kernel

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.272907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27ef4941-740a-430e-9741-f868842a4696 · outbound

This paper cites Angle-encoded swarm optimization for uav formation path planning.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Angle-encoded swarm optimization for uav formation path planning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:53.081186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e6208ed-1e79-440e-b490-d14d550a2809 · outbound

This paper cites Geometry for mutualistic and selfish herds: the limited domain of danger.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Geometry for mutualistic and selfish herds: the limited domain of danger

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.903184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3677ed72-1f09-48fb-893a-a47dda0654a8 · outbound

This paper cites Op- timal network topology for responsive collective be- havior.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Op- timal network topology for responsive collective be- havior

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.756385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 757a97bc-e21b-4319-951e-fe38e8771339 · outbound

This paper cites Effect of correlations in swarms on collective response.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Effect of correlations in swarms on collective response

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.578229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 484c9f4e-e6f5-4467-af7e-1b8cead9b115 · outbound

This paper cites Gromov–wasserstein distances and the metric approach to object matching.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Gromov–wasserstein distances and the metric approach to object matching

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.420083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86ea3aa6-da35-4903-bc4f-d997e41277ab · outbound

This paper cites A graph-based approach for shep- herding swarms with limited sensing range.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling A graph-based approach for shep- herding swarms with limited sensing range

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.295991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3f2fc1b-fc8a-45a2-a2e3-2fad748478fe · outbound

This paper cites Spatial positioning in the selfish herd.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Spatial positioning in the selfish herd

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:52.143544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 64a20169-8672-45a1-9c95-1189d8d7faa4 · outbound

This paper cites Evolution of swarming behavior is shaped by how predators attack.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Evolution of swarming behavior is shaped by how predators attack

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.990011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2f43b58-bff4-4690-9101-ea9d3c6340bf · outbound

This paper cites Graph signal processing: Overview, challenges, and appli- cations.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Graph signal processing: Overview, challenges, and appli- cations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.802118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67bdf8b3-3214-4da2-8775-b7b7f57df5fd · outbound

This paper cites Variational autoencoder.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Variational autoencoder

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.534453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 355e729c-986c-4671-a1e2-7dcbe531b952 · outbound

This paper cites Bird flocks.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Bird flocks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.401120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e4fe82f-61dd-45af-9b79-ae381f990e90 · outbound

This paper cites Swarm attack: A self-organized model to recover from malicious communication ma- nipulation in a swarm of simple simulated agents.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Swarm attack: A self-organized model to recover from malicious communication ma- nipulation in a swarm of simple simulated agents

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.294794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6fa9a158-fc2e-475b-9f73-2eb25914b95f · outbound

This paper cites De- tecting anomalous swarming agents with graph signal processing.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling De- tecting anomalous swarming agents with graph signal processing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.140293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7223f2d1-c868-4c23-9644-d7ca960b38b3 · outbound

This paper cites Analyzing Collective Motion Using Graph Fourier Analysis.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Analyzing Collective Motion Using Graph Fourier Analysis

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:37:49.110905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2d91f956-83df-4291-9dd0-ac9ebfbaffb5 · outbound

This paper cites Vertex-frequency analysis on graphs.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Vertex-frequency analysis on graphs

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:51.014842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation feb73d69-a7eb-4c4d-b476-2beb973952a6 · outbound

This paper cites Implicit neu- ral representations with periodic activation functions.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Implicit neu- ral representations with periodic activation functions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:37:47.959022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5812a5cd-7d25-4d70-a052-bf6141767d2b · outbound

This paper cites The geometry of decision-making in in- dividuals and collectives.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling The geometry of decision-making in in- dividuals and collectives

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:50.844799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32db46f5-d390-4353-8276-88a5826b0b90 · outbound

This paper cites Shared decision- making drives collective movement in wild baboons.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Shared decision- making drives collective movement in wild baboons

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:50.687449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a6fb1d7-b043-4dc1-98ba-2bc33081fa28 · outbound

This paper cites Learning decentralized controllers for robot swarms with graph neural networks.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Learning decentralized controllers for robot swarms with graph neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:50.477673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9737b87-e330-4d12-b1a9-ac94a526937b · outbound

This paper cites Environ- mental perturbations induce correlations in midge swarms.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Environ- mental perturbations induce correlations in midge swarms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:50.276523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ffa38028-5cd3-4b19-92e0-9cb729ca97cb · outbound

This paper cites Collective motion.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Collective motion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:50.120796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1e87a98d-85c1-4127-9de3-46a7ac689464 · outbound

This paper cites A com- prehensive survey on graph neural networks.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling A com- prehensive survey on graph neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:49.955774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c691bd05-7e72-41b6-b4eb-0db264d2a28f · outbound

This paper cites Graph neural networks: A review of methods and applications.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Graph neural networks: A review of methods and applications

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:49.688486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f835ea3-f583-4c3d-ae58-35d5c0ee59c6 · outbound

This paper cites an unresolved cited work.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:37:49.492952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49aa3bc8-47e5-4e54-b4da-ad0caed630cc · outbound

This paper cites The output is a 2D array with the generated positions of all agents.

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling The output is a 2D array with the generated positions of all agents

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:37:49.349773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.