Paper Citation Record · LEDGER

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.14409.

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

pith.paper-citation-record.v1
2507.14409 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:14:00.020189Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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 fuzzy19
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22e2b046-9309-4c25-9309-eb4887032f8e · outbound

This paper cites Biologically inspired herding of animal groups by robots,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Biologically inspired herding of animal groups by robots,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:06.945113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a46247a0-b778-4b7e-b617-bface6cf612b · outbound

This paper cites Bazzan and F.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Bazzan and F

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:06.775720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53699c88-5cc2-44ff-9c08-fa5f1283551d · outbound

This paper cites Adaptive multirobot implicit control of heterogeneous herds,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Adaptive multirobot implicit control of heterogeneous herds,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:06.582166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e5e4eb9-ff0a-4509-8187-a732d99daf6e · outbound

This paper cites Single agent indirect herding of multiple targets with unknown dynamics,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Single agent indirect herding of multiple targets with unknown dynamics,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:06.381349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 044701e5-8225-4a67-8642-1b4bfac5b074 · outbound

This paper cites Containment control with multiple stationary or dynamic leaders under a directed interaction graph,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Containment control with multiple stationary or dynamic leaders under a directed interaction graph,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:06.187232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 779c0da0-03d8-4102-b201-6ef849a14b89 · outbound

This paper cites The generalized Weierstrass approximation theorem,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks The generalized Weierstrass approximation theorem,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:05.964601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6053d65a-2cb6-460d-82a3-2294d52ff589 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Approximation capabilities of multilayer feedforward networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:05.715987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e00fde9-a26a-4886-bf1f-8391aae66b05 · outbound

This paper cites Universal approximation with deep narrow networks,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Universal approximation with deep narrow networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:05.453554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a51297f6-8451-4787-b3c3-783919c851da · outbound

This paper cites Goodfellow, Y.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Goodfellow, Y

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:05.205921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 349c02d8-eba1-4577-beef-a99cc1dd3fc2 · outbound

This paper cites The power of deeper networks for expressing natural functions,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks The power of deeper networks for expressing natural functions,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:57.866726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4f3d94-eced-4c06-81ab-0c45b1bd17bb · outbound

This paper cites Deep learning,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Deep learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:58.055262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06ead96-af66-45af-b671-843059a50772 · outbound

This paper cites Deep adaptive indirect herding of multiple target agents with unknown interaction dynamics,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Deep adaptive indirect herding of multiple target agents with unknown interaction dynamics,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:04.858886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bae9f811-9bf1-469a-a60e-cf4cbf7566d3 · outbound

This paper cites Distributed target tracking under partial feedback using Lyapunov-based deep neural networks,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Distributed target tracking under partial feedback using Lyapunov-based deep neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:04.546142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 069bcb16-4b4d-4267-b105-6a560024a703 · outbound

This paper cites Cooperative approxi- mate optimal indirect regulation of uncooperative agents with Lyapunov- based deep neural network,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Cooperative approxi- mate optimal indirect regulation of uncooperative agents with Lyapunov- based deep neural network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:04.286165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82d59c3f-c6c3-4aa6-881b-5e62c7c6413b · outbound

This paper cites Approximate optimal indirect control of an unknown agent within a dynamic environment using a Lyapunov-based deep neural network,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Approximate optimal indirect control of an unknown agent within a dynamic environment using a Lyapunov-based deep neural network,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:03.985516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f42f740a-6618-472b-8c1c-74d79ec98adc · outbound

This paper cites Decentralized, unlabeled multi-agent navigation in obstacle-rich environments using graph neural networks,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Decentralized, unlabeled multi-agent navigation in obstacle-rich environments using graph neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:02.472215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a41c0940-cb6e-4117-b123-b7235588d90f · outbound

This paper cites Graph neural networks for decentralized controllers,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Graph neural networks for decentralized controllers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:02.246188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 630e3443-ec48-4fd1-8df5-00d6dbc0d056 · outbound

This paper cites Graph neural networks for decentralized multi-robot path planning,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Graph neural networks for decentralized multi-robot path planning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:01.949362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df1a8285-5020-4ad1-b7f8-57a26a458186 · outbound

This paper cites Graph networks as learnable physics engines for inference and control,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Graph networks as learnable physics engines for inference and control,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:01.519139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74fd9a3c-46a5-4dd4-b4dc-8408d1c82faa · outbound

This paper cites Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:59.329993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f46289-f8f7-42d7-86d1-8844f276254d · outbound

This paper cites Expressive power of invariant and equivariant graph neural networks,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Expressive power of invariant and equivariant graph neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:01.166363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1a60bf0-4cc6-4717-98c9-2329fc29dc7e · outbound

This paper cites an unresolved cited work.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:14:00.903048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10e5ada5-c904-484b-b1ae-e7b1b0dc1a79 · outbound

This paper cites Single- agent indirect herding of multiple targets using metric temporal logic switching,.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Single- agent indirect herding of multiple targets using metric temporal logic switching,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:14:00.592647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4709cc27-d898-4d9f-8117-a03da72eab75 · outbound

This paper cites Krstic, I.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Krstic, I

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:59.897302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58aabdda-d64f-40a5-8fac-9f9bb83dd1d5 · outbound

This paper cites an unresolved cited work.

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:14:00.356736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.