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Paper Citation Record · LEDGER

Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.15360.

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

pith.paper-citation-record.v1
2503.15360 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:13:59.329993Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:39:47.385164Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Collaborative Indirect Influencing and Control on Graphs using Graph Neural Networks cites this paper.

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.

source=pdf_text observed=2026-08-06T16:13:59.329993Z digest=sha256:21ee728241ebd900b5cf6c457ea5948597ba38bffd3076ab593ac6893f6c2c18

Observation 2544fc9a-3f71-4482-a6af-0d3d3264e0b0 · inbound

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows cites this paper.

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:39:47.471750Z

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.

source=pdf_text observed=2026-08-05T23:39:46.138089Z digest=sha256:134040dd2a34c79124fadfef6b3b01e5ae90d31a26a027b6d5bd05e9ad0e0e07