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Paper Citation Record · LEDGER

A Dynamic Relaxation Framework for Global Solution of ACOPF

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.13402.

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

pith.paper-citation-record.v1
2506.13402 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:10:15.851620Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

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  • verified fuzzy29
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47ff35ba-12e6-459b-ba40-2c654a2863f6 · outbound

This paper cites Contribution to the economic dispatch problem,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Contribution to the economic dispatch problem,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a857c760-341d-4e9e-b2e4-28bf34bbcb17 · outbound

This paper cites Optimal power flow: Basic requirements for real-life problems and their solutions,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Optimal power flow: Basic requirements for real-life problems and their solutions,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6c0d7295-3f76-4e1a-95ce-b438cc5c670f · outbound

This paper cites Robust security constrained ACOPF via conic programming: Identifying the worst contingencies,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Robust security constrained ACOPF via conic programming: Identifying the worst contingencies,

Reference 3

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9dec49eb-9a34-481c-8eb8-279cd7d09523 · outbound

This paper cites V oltage stability constrained line- wise optimal power flow,.

A Dynamic Relaxation Framework for Global Solution of ACOPF V oltage stability constrained line- wise optimal power flow,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 980ed16e-5b4e-4491-8e50-a43b30ccfff0 · outbound

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

A Dynamic Relaxation Framework for Global Solution of ACOPF Zero duality gap in optimal power flow problem,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 661fc8fd-7a1b-45af-91a5-42f6e6b2ba19 · outbound

This paper cites Optimal capacitor placement on radial distribution systems,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Optimal capacitor placement on radial distribution systems,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7bb8d00e-f289-4e89-813b-1bf462588121 · outbound

This paper cites Branch flow model: Relaxations and convexification—Part I,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Branch flow model: Relaxations and convexification—Part I,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f9437ef-3d61-4632-be24-7c1cdd6eb52b · outbound

This paper cites The IV formulation and linear approximations of the AC optimal power flow problem,.

A Dynamic Relaxation Framework for Global Solution of ACOPF The IV formulation and linear approximations of the AC optimal power flow problem,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a8963057-af07-416f-be83-c40e24e874a8 · outbound

This paper cites A direct nonlinear predictor- corrector primal-dual interior point algorithm for optimal power flows,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A direct nonlinear predictor- corrector primal-dual interior point algorithm for optimal power flows,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6177e5cd-4995-46ad-b3bc-8d5b61506f62 · outbound

This paper cites Semidefinite programming for optimal power flow problems,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Semidefinite programming for optimal power flow problems,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0d407251-9ea9-46dc-b6b1-21a1f996707e · outbound

This paper cites Examining the limits of the application of semidefinite programming to power flow problems,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Examining the limits of the application of semidefinite programming to power flow problems,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8cacb71b-de4c-4c2a-a59e-ebcd294c2a90 · outbound

This paper cites Sparsity-exploiting moment-based relaxations of the optimal power flow problem,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Sparsity-exploiting moment-based relaxations of the optimal power flow problem,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 29508271-3c76-4423-9ca7-50daaa4f4ad1 · outbound

This paper cites Lagrangian duality and branch-and-bound algorithms for optimal power flow,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Lagrangian duality and branch-and-bound algorithms for optimal power flow,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 18e5f1b7-51ba-453d-9203-4b67810060f3 · outbound

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

A Dynamic Relaxation Framework for Global Solution of ACOPF Radial distribution load flow using conic programming,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43e33db0-a519-47b5-bd57-d47fca8b3371 · outbound

This paper cites The QC relaxation: A theoretical and computational study on optimal power flow,.

A Dynamic Relaxation Framework for Global Solution of ACOPF The QC relaxation: A theoretical and computational study on optimal power flow,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a1484d7-18e7-416e-a9c9-340a5e2c532b · outbound

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

A Dynamic Relaxation Framework for Global Solution of ACOPF Strong SOCP relaxations for the optimal power flow problem,

Reference 16

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no resolver link, observed 2026-08-15T20:10:15.733369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7377df8-8a67-4745-b74b-190e3ecf9e1b · outbound

This paper cites DeepOPF: A deep neural network approach for security-constrained DC optimal power flow,.

A Dynamic Relaxation Framework for Global Solution of ACOPF DeepOPF: A deep neural network approach for security-constrained DC optimal power flow,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 89e4a055-93af-4981-ba11-4e371ded5f74 · outbound

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

A Dynamic Relaxation Framework for Global Solution of ACOPF A survey of relaxations and approximations of the power flow equations,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bd6a45b7-1f52-4acd-9e68-160b2ed03b65 · outbound

This paper cites DC power flow revisited,.

A Dynamic Relaxation Framework for Global Solution of ACOPF DC power flow revisited,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 912c0e06-e693-4ee9-af03-5c2fcd4b80eb · outbound

This paper cites A linearized OPF model with reactive power and voltage magnitude: A pathway to improve the MW-only DC OPF,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A linearized OPF model with reactive power and voltage magnitude: A pathway to improve the MW-only DC OPF,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6aa4233e-752d-4cf1-aaae-dd8cc7378de4 · outbound

This paper cites Linear approximations to AC power flow in rectangular coordinates,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Linear approximations to AC power flow in rectangular coordinates,

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a362d2af-034f-4be0-bfbd-3cce7c7eda2d · outbound

This paper cites A successive linear programming approach to solving the IV-ACOPF,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A successive linear programming approach to solving the IV-ACOPF,

Reference 22

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b4b7b05b-be07-428e-827d-cdbce174bf44 · outbound

This paper cites Pyramidal approximation for power flow and optimal power flow,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Pyramidal approximation for power flow and optimal power flow,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.150000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2335557a-9709-4fd1-8e38-6d9800553c05 · outbound

This paper cites Linear approximated formulation of AC optimal power flow using binary discretisation,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Linear approximated formulation of AC optimal power flow using binary discretisation,

Reference 24

Resolution
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raw_fallback, observed 2026-08-15T20:10:16.132397Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d064acde-137a-40fc-9955-df41a62d74fb · outbound

This paper cites Network flow and copper plate relaxations for AC transmission systems,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Network flow and copper plate relaxations for AC transmission systems,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.114887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 48e42ac3-3f27-44cb-b948-e14d586720dd · outbound

This paper cites A linear-programming approxima- tion of AC power flows,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A linear-programming approxima- tion of AC power flows,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.095379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:10:15.784900Z digest=sha256:1e8efaa7f63f38b7293e2ca9dd03d2d2c6fbcc2c7e0eb42fbb9d5dbfbdf95879

Observation 3717b692-caee-4d5e-877f-91e7fdfcc221 · outbound

This paper cites A multi- tree approach for global solution of ACOPF problems using piecewise outer approximations,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A multi- tree approach for global solution of ACOPF problems using piecewise outer approximations,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.078826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1cacee46-b008-4a42-8041-e793b0f3b906 · outbound

This paper cites A dynamic pyramidal relaxation method of AC OPF,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A dynamic pyramidal relaxation method of AC OPF,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.061355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f97ba9db-7a5b-43c7-8c47-0296a9321114 · outbound

This paper cites Branch flow model: Relaxations and convexification-part II,.

A Dynamic Relaxation Framework for Global Solution of ACOPF Branch flow model: Relaxations and convexification-part II,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.043461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f29f9438-3312-4e61-a42c-25bffa563918 · outbound

This paper cites A sufficient condition on convex relaxation of AC optimal power flow in distribution networks,.

A Dynamic Relaxation Framework for Global Solution of ACOPF A sufficient condition on convex relaxation of AC optimal power flow in distribution networks,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T20:10:16.025029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation eb24ca76-1ea5-40de-a864-c86bcea3aeb9 · outbound

This paper cites an unresolved cited work.

A Dynamic Relaxation Framework for Global Solution of ACOPF Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-15T20:10:15.811814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34c5c7fc-98f0-4f9d-b370-c29e128328d8 · outbound

This paper cites On polyhedral approximations of the second-order cone,.

A Dynamic Relaxation Framework for Global Solution of ACOPF On polyhedral approximations of the second-order cone,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d3066525-43c9-4540-a1d2-1e47eda216a8 · outbound

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

A Dynamic Relaxation Framework for Global Solution of ACOPF The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 33

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no resolver link, observed 2026-08-15T20:10:15.821883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:10:15.821883Z digest=sha256:29fb87c2615650b5497f2acff8ce5cde2643b3af25d1cf7a4abbde26e09e1c5c

Observation 70cd105e-c979-4d67-a095-78dbfce3c135 · outbound

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

A Dynamic Relaxation Framework for Global Solution of ACOPF Powermodels. jl: An open-source framework for exploring power flow formulations,

Reference 34

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raw_fallback, observed 2026-08-15T20:10:15.976426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fc3208d1-7168-4f2a-9e35-319f950b8acb · outbound

This paper cites JuMP 1.0: Recent improvements to a modeling language for mathematical optimization,.

A Dynamic Relaxation Framework for Global Solution of ACOPF JuMP 1.0: Recent improvements to a modeling language for mathematical optimization,

Reference 35

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unresolved
no resolver link, observed 2026-08-15T20:10:15.832156Z

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A Dynamic Relaxation Framework for Global Solution of ACOPF Gurobi Optimizer Reference Manual,

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A Dynamic Relaxation Framework for Global Solution of ACOPF On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear programming,

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A Dynamic Relaxation Framework for Global Solution of ACOPF Mixed integer linear programming formulation tech- niques,

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This paper cites Available: https://www.gurobi.com.

A Dynamic Relaxation Framework for Global Solution of ACOPF Available: https://www.gurobi.com

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