Paper Citation Record · LEDGER

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.02192.

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

pith.paper-citation-record.v1
2607.02192 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T07:40:23.920661Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

verified exact2
verified fuzzy27
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77984bba-383a-4562-a933-a514a499f991 · outbound

This paper cites Online optimization as a feedback controller: Stability and tracking.IEEE Transac- tions on Control of Network Systems, 7(1):422–432, 2019.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Online optimization as a feedback controller: Stability and tracking.IEEE Transac- tions on Control of Network Systems, 7(1):422–432, 2019

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.948961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3f3effd-0bc5-44eb-8f32-6ece3bde3a73 · outbound

This paper cites Feed- back optimization of nonlinear strict-feedback sys- tems.Journal of Systems Science and Complexity, 38(2):717–738, 2025.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Feed- back optimization of nonlinear strict-feedback sys- tems.Journal of Systems Science and Complexity, 38(2):717–738, 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:01.002321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c08d23f-8fab-4e2d-99b1-98a77c4b915d · outbound

This paper cites Event-triggered and periodic event- triggered extremum seeking control.Automatica, 174:112161, 2025.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Event-triggered and periodic event- triggered extremum seeking control.Automatica, 174:112161, 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:01.004174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa1518aa-3afe-45d0-8b43-3722fd0c4f4c · outbound

This paper cites Global optimal con- sensus for higher-order multi-agent systems with bounded controls.Automatica, 99:301–307, 2019.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Global optimal con- sensus for higher-order multi-agent systems with bounded controls.Automatica, 99:301–307, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:01.006161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5f9f108-b531-404e-adac-85e6f9b99778 · outbound

This paper cites Multi-robot target monitoring and encirclement via triggered dis- tributed feedback optimization.IEEE Transactions on Robotics, 2026.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Multi-robot target monitoring and encirclement via triggered dis- tributed feedback optimization.IEEE Transactions on Robotics, 2026

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:01.008010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62369332-20e8-4b09-9af3-961085b43554 · outbound

This paper cites Real- time feedback-based optimization of distribution grids: A unified approach.IEEE Transactions on Control of Network Systems, 6(3):1197–1209, 2019.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Real- time feedback-based optimization of distribution grids: A unified approach.IEEE Transactions on Control of Network Systems, 6(3):1197–1209, 2019

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:01.010420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be652382-8bc6-4c74-a541-e3421ebe5952 · outbound

This paper cites Distributed control to steer dynamical systems to the generalized nash equilibria for monotone aggregative games with 14 operational constraints.Automatica, 185:112794, 2026.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Distributed control to steer dynamical systems to the generalized nash equilibria for monotone aggregative games with 14 operational constraints.Automatica, 185:112794, 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:01.000255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a91d7159-34de-4095-9d7b-cbfbb25f69dc · outbound

This paper cites Distributed optimization for control.Annual Review of Control, Robotics, and Autonomous Systems, 1(1):77–103, 2018.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Distributed optimization for control.Annual Review of Control, Robotics, and Autonomous Systems, 1(1):77–103, 2018

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.947114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f149c7e-e901-4620-911e-092ffcd83eed · outbound

This paper cites Nonconvex distributed feedback op- timization for aggregative cooperative robotics.Au- tomatica, 167:111767, 2024.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Nonconvex distributed feedback op- timization for aggregative cooperative robotics.Au- tomatica, 167:111767, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.993760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0526f088-1b68-4771-bfac-d0aedd017cfc · outbound

This paper cites an unresolved cited work.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-07-05T11:31:00.986993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba36396d-c7e0-4f30-99e6-a1ff4c19ca2e · outbound

This paper cites Control barrier function based quadratic programs for safety critical sys- tems.IEEE Transactions on Automatic Control, 62 (8):3861–3876, 2016.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Control barrier function based quadratic programs for safety critical sys- tems.IEEE Transactions on Automatic Control, 62 (8):3861–3876, 2016

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.989024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2bfba433-d826-4f9a-8af0-24ddbdaec4b7 · outbound

This paper cites High-order control bar- rier functions.IEEE Transactions on Automatic Control, 67(7):3655–3662, 2021.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems High-order control bar- rier functions.IEEE Transactions on Automatic Control, 67(7):3655–3662, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.991608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06713bd7-f63a-4f2e-9bff-2f6e09ffaae2 · outbound

This paper cites Control-barrier- function-based design of gradient flows for con- strained nonlinear programming.IEEE Transac- tions on Automatic Control, 69(6):3499–3514, 2023.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Control-barrier- function-based design of gradient flows for con- strained nonlinear programming.IEEE Transac- tions on Automatic Control, 69(6):3499–3514, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.982520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfdce0f0-74f5-4583-9e3c-c30fdc336fc7 · outbound

This paper cites Continuous approximations of projected dynamical systems via control bar- rier functions.IEEE Transactions on Automatic Control, 2024.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Continuous approximations of projected dynamical systems via control bar- rier functions.IEEE Transactions on Automatic Control, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.984421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 65f2e15e-f9f0-4463-a2b2-f47088321a53 · outbound

This paper cites Feedback optimiza- tion with state constraints through control barrier functions.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Feedback optimiza- tion with state constraints through control barrier functions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.978134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3441eea-8c4a-4b7f-845b-81b76d5a686d · outbound

This paper cites Small-gain theorem for iss systems and applica- tions.Mathematics of Control, Signals and Systems, 7(2):95–120, 1994.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Small-gain theorem for iss systems and applica- tions.Mathematics of Control, Signals and Systems, 7(2):95–120, 1994

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.976004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0fd7c9b4-08c6-437f-8d25-40a921a8b616 · outbound

This paper cites Small gain theorems for large scale systems and construction of iss lyapunov functions.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Small gain theorems for large scale systems and construction of iss lyapunov functions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.980439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 11825070-711b-4585-bfdf-971c04d60be0 · outbound

This paper cites Distributed optimization of non- linear multiagent systems: A small-gain approach.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Distributed optimization of non- linear multiagent systems: A small-gain approach

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.986147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdcdb474-2487-47b4-ac01-579da764c3eb · outbound

This paper cites Distributed feedback op- timization of nonlinear uncertain systems subject to inequality constraints.IEEE Transactions on Automatic Control, 69(6):3989–3996, 2023.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Distributed feedback op- timization of nonlinear uncertain systems subject to inequality constraints.IEEE Transactions on Automatic Control, 69(6):3989–3996, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.996000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 826ba22a-cbc0-4648-88d0-97f0d0d0e6ac · outbound

This paper cites Distributed optimal output consensus control of heterogeneous multi-agent systems with safety constraints.IEEE Transactions on Automatic Control, 2025.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Distributed optimal output consensus control of heterogeneous multi-agent systems with safety constraints.IEEE Transactions on Automatic Control, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.997931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33714f48-119c-4555-b48d-7db64e24709e · outbound

This paper cites The ex- plicit reference governor: A general framework for the closed-form control of constrained nonlinear systems.IEEE Control Systems Magazine, 38(4): 89–107, 2018.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems The ex- plicit reference governor: A general framework for the closed-form control of constrained nonlinear systems.IEEE Control Systems Magazine, 38(4): 89–107, 2018

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.973446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 047a16b9-f278-41ed-94ab-b670935e1478 · outbound

This paper cites Explicit reference governor for constrained nonlinear sys- tems.IEEE Transactions on Automatic Control, 61 (5):1379–1384, 2015.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Explicit reference governor for constrained nonlinear sys- tems.IEEE Transactions on Automatic Control, 61 (5):1379–1384, 2015

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.963696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 032ca25e-f019-41e2-90d2-406575ad77c1 · outbound

This paper cites Using dynamic safety margins as control barrier functions.IEEE Transactions on Automatic Control, 2026.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Using dynamic safety margins as control barrier functions.IEEE Transactions on Automatic Control, 2026

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.966110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36978bbb-4803-4ddc-b671-1e1594fa6347 · outbound

This paper cites Optimization-Free Constrained Control with Guaranteed Recursive Feasibility: A CBF-Based Reference Governor Approach.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Optimization-Free Constrained Control with Guaranteed Recursive Feasibility: A CBF-Based Reference Governor Approach

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-03T07:47:44.459696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 070eb44e-4e2d-4cc3-8d1a-08f152b9f9f3 · outbound

This paper cites On the un- desired equilibria induced by control barrier func- tion based quadratic programs.Automatica, 159: 111359, 2024.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems On the un- desired equilibria induced by control barrier func- tion based quadratic programs.Automatica, 159: 111359, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.971002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2dbbe08-f83b-4cbf-ad1b-b8ab2c60d2fa · outbound

This paper cites Reis and A.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Reis and A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.968362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ae83ab9-c2c6-4d77-bae0-1128c50cf62c · outbound

This paper cites Synthesizing Safety in Infinite-Horizon Optimal Control for Disturbed High-Relative-Degree Systems via Barrier-Regulating Auxiliary Variables.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Synthesizing Safety in Infinite-Horizon Optimal Control for Disturbed High-Relative-Degree Systems via Barrier-Regulating Auxiliary Variables

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-03T07:47:44.456708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5dc1e114-1356-4593-ad4b-a89d161ef7f3 · outbound

This paper cites SIAM, 2004.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems SIAM, 2004

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.951343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 462b8557-03d0-412e-a4ea-f4a2b6bd9d51 · outbound

This paper cites A general framework for tackling the output regulation problem.IEEE Transactions on Automatic Control, 49(12):2203– 2218, 2004.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems A general framework for tackling the output regulation problem.IEEE Transactions on Automatic Control, 49(12):2203– 2218, 2004

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.953200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5db5f380-a0ec-41f9-bce9-d8114c1955d4 · outbound

This paper cites Consensus of linear multi-agent systems by distributed event- triggered strategy.IEEE transactions on cybernet- ics, 46(1):148–157, 2015.

Reference-Governed Distributed Safe Gradient Flow for Safe Optimal Output Agreement of Multi-Agent Systems Consensus of linear multi-agent systems by distributed event- triggered strategy.IEEE transactions on cybernet- ics, 46(1):148–157, 2015

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T11:31:00.960705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.