Paper Citation Record · LEDGER

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2603.20411.

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

pith.paper-citation-record.v1
2603.20411 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:54:25.253413Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a3ccb6a-0597-4430-9477-c01ce78bd314 · outbound

This paper cites Zero duality gap in optimal power flow problem,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Zero duality gap in optimal power flow problem,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:22.606084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb38552-9192-4528-99ac-c4b93f57c0ac · outbound

This paper cites A survey of relaxations and approximations of the power flow equations,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints A survey of relaxations and approximations of the power flow equations,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:22.673697Z

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Observation b70b0663-08a1-4107-80e8-678cedbdd92e · outbound

This paper cites Radial distribution load flow using conic programming,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Radial distribution load flow using conic programming,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:22.703040Z

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Observation c8654fef-4462-424e-9c27-34511954a31b · outbound

This paper cites A survey on conic relaxations of optimal power flow problem,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints A survey on conic relaxations of optimal power flow problem,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:22.772467Z

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Unavailable: canonical work link unavailable.

Observation 26eb9cc4-2107-46a3-a13d-528768088ba5 · outbound

This paper cites Inexact convex relaxations for ac optimal power flow: Towards ac feasibility,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Inexact convex relaxations for ac optimal power flow: Towards ac feasibility,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:22.840545Z

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Unavailable: canonical work link unavailable.

Observation fbef68a8-01fe-4c4e-a4c1-84095f39471b · outbound

This paper cites On the tightness of the lagrangian dual bound for alternating current optimal power flow,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints On the tightness of the lagrangian dual bound for alternating current optimal power flow,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:22.926812Z

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Unavailable: canonical work link unavailable.

Observation 34bfe55b-4ed1-4eeb-ba3b-a9b70f8afc19 · outbound

This paper cites Strong socp relaxations for the optimal power flow problem,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Strong socp relaxations for the optimal power flow problem,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.106757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d45747-258a-4be9-a445-addb15257f47 · outbound

This paper cites Tight lp approximations for the optimal power flow problem,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Tight lp approximations for the optimal power flow problem,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.252654Z

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Observation 5f22b29a-f1b9-4d1f-8f42-9e7b8afee9c9 · outbound

This paper cites Alternating direction augmented lagrangian methods for semidefinite programming,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Alternating direction augmented lagrangian methods for semidefinite programming,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.437058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a265ad61-e3b2-452e-9046-84729148284d · outbound

This paper cites Adaptive admm for dis- tributed ac optimal power flow,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Adaptive admm for dis- tributed ac optimal power flow,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.570422Z

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Unavailable: canonical work link unavailable.

Observation b33f746e-205d-456e-941c-da9fd98ee675 · outbound

This paper cites Pdlp: A practical first-order method for large-scale linear programming,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Pdlp: A practical first-order method for large-scale linear programming,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.703263Z

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Observation 08fa177d-b867-4f0a-91e6-af600c47109c · outbound

This paper cites Gpu-accelerated primal heuristics for mixed integer programming,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Gpu-accelerated primal heuristics for mixed integer programming,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.808131Z

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Observation a7ccb28c-e93c-494d-ba35-7ececefedf51 · outbound

This paper cites Concurrent crossover for pdhg,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Concurrent crossover for pdhg,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.868052Z

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Observation c9f70560-4ac1-40f6-8197-6c2d43dc3ddf · outbound

This paper cites Dual conic proxies for ac optimal power flow,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Dual conic proxies for ac optimal power flow,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.898433Z

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Observation 689979ff-08f9-408b-a1e7-b6efdb77d4f7 · outbound

This paper cites Dual lagrangian learning for conic optimization,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Dual lagrangian learning for conic optimization,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:23.963393Z

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Unavailable: canonical work link unavailable.

Observation 02f4f726-588a-4067-b933-cd650096552e · outbound

This paper cites Conic optimization via operator splitting and homogeneous self-dual embedding,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Conic optimization via operator splitting and homogeneous self-dual embedding,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.049330Z

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Observation b092ea90-719f-4af1-b3bf-d469d4ec7e1c · outbound

This paper cites Proportional–integral projected gradient method for conic optimization,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Proportional–integral projected gradient method for conic optimization,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.160115Z

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Observation 0d0eee99-0107-4f37-92a0-c45e42235170 · outbound

This paper cites Leveraging gpu batching for scalable nonlinear programming through massive lagrangian decomposition,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Leveraging gpu batching for scalable nonlinear programming through massive lagrangian decomposition,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.204168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f639cd-18b6-4761-8117-71b5afc6335c · outbound

This paper cites Accelerated computation and tracking of ac optimal power flow solutions using gpus,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Accelerated computation and tracking of ac optimal power flow solutions using gpus,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.285068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2d2001-158b-4f82-8a1f-c78c2d5c90b0 · outbound

This paper cites Gpu-accelerated sequential quadratic programming algorithm for solving acopf,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Gpu-accelerated sequential quadratic programming algorithm for solving acopf,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.393434Z

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Unavailable: canonical work link unavailable.

Observation d8774710-71b0-49d4-bcb0-e5fcc4ffd7ac · outbound

This paper cites GPU-Accelerated DCOPF using Gradient-Based Optimization.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints GPU-Accelerated DCOPF using Gradient-Based Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.517112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef5d975-b1cf-477d-9608-6cfe932f8c4a · outbound

This paper cites Accurate and warm-startable linear cutting-plane relaxations for acopf,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Accurate and warm-startable linear cutting-plane relaxations for acopf,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.580532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c3e69c-fe32-417b-9aab-cd7594418372 · outbound

This paper cites Strong socp relaxations for the optimal power flow problem,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Strong socp relaxations for the optimal power flow problem,

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-02T17:54:24.625877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fecefe4-d5cd-46ce-b495-bea6c421ff99 · outbound

This paper cites Mosek modeling cookbook,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Mosek modeling cookbook,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.759032Z

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Unavailable: canonical work link unavailable.

Observation 61fdc6f6-97f8-47c5-9afb-cdec8ff7da60 · outbound

This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.900349Z

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Observation 1208b826-e571-45b3-9c44-c6e4619952ab · outbound

This paper cites Powermodels.jl: An open-source framework for exploring power flow formulations,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Powermodels.jl: An open-source framework for exploring power flow formulations,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.967837Z

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Observation 56fff44f-7795-490b-8ba7-d4fa11db0eb2 · outbound

This paper cites Jump: A mod- eling language for mathematical optimization,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Jump: A mod- eling language for mathematical optimization,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:25.043925Z

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Observation 0062ebb1-2443-442b-aa33-53fc4499bdcd · outbound

This paper cites Knitro: An integrated package for nonlinear optimization,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Knitro: An integrated package for nonlinear optimization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:25.102266Z

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Observation 99ef67cd-895c-4b26-94e3-f782d089ab67 · outbound

This paper cites Mosek optimization software,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints Mosek optimization software,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:25.163068Z

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Unavailable: canonical work link unavailable.

Observation 1b1515a6-78eb-405c-b205-9ee5f7bea6cf · outbound

This paper cites On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:25.253413Z

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Pith citing papers

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